mirror of
https://github.com/explosion/spaCy.git
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Reduce stored lexemes data, move feats to lookups (#5238)
* Reduce stored lexemes data, move feats to lookups
* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
* Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
* Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
* Remove `SerializedLexemeC`
* Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
* Always create `Vocab.lookups` table `lexeme_norm` for
normalization exceptions
* Load base exceptions from `lang.norm_exceptions`, but load
language-specific exceptions from lookups
* Set `lex_attr_getter[NORM]` including new lookups table in
`BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
existing normalizations with the new normalizations (as a replacement
for the previous step that replaced all lexemes data with the
deserialized data)
* Skip English normalization test
Skip English normalization test because the data is now in
`spacy-lookups-data`.
* Remove norm exceptions
Moved to spacy-lookups-data.
* Move norm exceptions test to spacy-lookups-data
* Load extra lookups from spacy-lookups-data lazily
Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.
* Skip creating lexeme cache on load
To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.
* Identify numeric values in Lexeme.set_attrs()
With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.
* Skip lexeme cache init in from_bytes
* Unskip and update lookups tests for python3.6+
* Update vocab pickle to include lookups_extra
* Update vocab serialization tests
Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".
* Re-skip lookups test because of python3.5
* Skip PROB/float values in Lexeme.set_attrs
* Convert is_oov from lexeme flag to lex in vectors
Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
This commit is contained in:
adrianeboyd
GitHub
parent
a41e28ceba
commit
a5cd203284
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@ -15,7 +15,7 @@ cdef enum attr_id_t:
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LIKE_NUM
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LIKE_NUM
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LIKE_EMAIL
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LIKE_EMAIL
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IS_STOP
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IS_STOP
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IS_OOV
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IS_OOV_DEPRECATED
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IS_BRACKET
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IS_BRACKET
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IS_QUOTE
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IS_QUOTE
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IS_LEFT_PUNCT
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IS_LEFT_PUNCT
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@ -16,7 +16,7 @@ IDS = {
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"LIKE_NUM": LIKE_NUM,
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"LIKE_NUM": LIKE_NUM,
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"LIKE_EMAIL": LIKE_EMAIL,
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"LIKE_EMAIL": LIKE_EMAIL,
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"IS_STOP": IS_STOP,
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"IS_STOP": IS_STOP,
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"IS_OOV": IS_OOV,
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"IS_OOV_DEPRECATED": IS_OOV_DEPRECATED,
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"IS_BRACKET": IS_BRACKET,
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"IS_BRACKET": IS_BRACKET,
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"IS_QUOTE": IS_QUOTE,
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"IS_QUOTE": IS_QUOTE,
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"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
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"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
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@ -157,15 +157,11 @@ def create_model(lang, lex_attrs, name=None):
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nlp = lang_class()
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nlp = lang_class()
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for lexeme in nlp.vocab:
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for lexeme in nlp.vocab:
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lexeme.rank = OOV_RANK
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lexeme.rank = OOV_RANK
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lex_added = 0
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for attrs in lex_attrs:
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for attrs in lex_attrs:
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if "settings" in attrs:
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if "settings" in attrs:
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continue
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continue
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lexeme = nlp.vocab[attrs["orth"]]
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lexeme = nlp.vocab[attrs["orth"]]
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lexeme.set_attrs(**attrs)
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lexeme.set_attrs(**attrs)
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lexeme.is_oov = False
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lex_added += 1
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lex_added += 1
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if len(nlp.vocab):
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if len(nlp.vocab):
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oov_prob = min(lex.prob for lex in nlp.vocab) - 1
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oov_prob = min(lex.prob for lex in nlp.vocab) - 1
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else:
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else:
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@ -193,8 +189,7 @@ def add_vectors(nlp, vectors_loc, truncate_vectors, prune_vectors, name=None):
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if vector_keys is not None:
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if vector_keys is not None:
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for word in vector_keys:
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for word in vector_keys:
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if word not in nlp.vocab:
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if word not in nlp.vocab:
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lexeme = nlp.vocab[word]
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nlp.vocab[word]
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lexeme.is_oov = False
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if vectors_data is not None:
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if vectors_data is not None:
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nlp.vocab.vectors = Vectors(data=vectors_data, keys=vector_keys)
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nlp.vocab.vectors = Vectors(data=vectors_data, keys=vector_keys)
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if name is None:
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if name is None:
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@ -15,7 +15,6 @@ import random
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from .._ml import create_default_optimizer
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from .._ml import create_default_optimizer
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from ..util import use_gpu as set_gpu
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from ..util import use_gpu as set_gpu
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from ..attrs import PROB, IS_OOV, CLUSTER, LANG
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from ..gold import GoldCorpus
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from ..gold import GoldCorpus
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from ..compat import path2str
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from ..compat import path2str
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from .. import util
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from .. import util
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@ -630,15 +629,6 @@ def _create_progress_bar(total):
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def _load_vectors(nlp, vectors):
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def _load_vectors(nlp, vectors):
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util.load_model(vectors, vocab=nlp.vocab)
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util.load_model(vectors, vocab=nlp.vocab)
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for lex in nlp.vocab:
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values = {}
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for attr, func in nlp.vocab.lex_attr_getters.items():
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# These attrs are expected to be set by data. Others should
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# be set by calling the language functions.
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if attr not in (CLUSTER, PROB, IS_OOV, LANG):
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values[lex.vocab.strings[attr]] = func(lex.orth_)
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lex.set_attrs(**values)
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lex.is_oov = False
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def _load_pretrained_tok2vec(nlp, loc):
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def _load_pretrained_tok2vec(nlp, loc):
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@ -2,7 +2,6 @@
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from __future__ import unicode_literals
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from __future__ import unicode_literals
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .norm_exceptions import NORM_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
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from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
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from .stop_words import STOP_WORDS
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from .lex_attrs import LEX_ATTRS
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@ -12,17 +11,14 @@ from ..tag_map import TAG_MAP
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...language import Language
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from ...attrs import LANG, NORM
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from ...attrs import LANG
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from ...util import update_exc, add_lookups
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from ...util import update_exc
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class DanishDefaults(Language.Defaults):
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class DanishDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters[LANG] = lambda text: "da"
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lex_attr_getters[LANG] = lambda text: "da"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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morph_rules = MORPH_RULES
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morph_rules = MORPH_RULES
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infixes = TOKENIZER_INFIXES
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infixes = TOKENIZER_INFIXES
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@ -1,527 +0,0 @@
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# coding: utf8
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"""
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Special-case rules for normalizing tokens to improve the model's predictions.
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For example 'mysterium' vs 'mysterie' and similar.
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"""
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from __future__ import unicode_literals
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# Sources:
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# 1: https://dsn.dk/retskrivning/om-retskrivningsordbogen/mere-om-retskrivningsordbogen-2012/endrede-stave-og-ordformer/
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# 2: http://www.tjerry-korrektur.dk/ord-med-flere-stavemaader/
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_exc = {
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# Alternative spelling
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"a-kraft-værk": "a-kraftværk", # 1
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"ålborg": "aalborg", # 2
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"århus": "aarhus",
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"accessoirer": "accessoires", # 1
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"affektert": "affekteret", # 1
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"afrikander": "afrikaaner", # 1
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"aftabuere": "aftabuisere", # 1
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"aftabuering": "aftabuisering", # 1
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"akvarium": "akvarie", # 1
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"alenefader": "alenefar", # 1
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"alenemoder": "alenemor", # 1
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"alkoholambulatorium": "alkoholambulatorie", # 1
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"ambulatorium": "ambulatorie", # 1
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"ananassene": "ananasserne", # 2
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"anførelsestegn": "anførselstegn", # 1
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"anseelig": "anselig", # 2
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"antioxydant": "antioxidant", # 1
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"artrig": "artsrig", # 1
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"auditorium": "auditorie", # 1
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"avocado": "avokado", # 2
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"bagerst": "bagest", # 2
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"bagstræv": "bagstræb", # 1
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"bagstræver": "bagstræber", # 1
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"bagstræverisk": "bagstræberisk", # 1
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"balde": "balle", # 2
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"barselorlov": "barselsorlov", # 1
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"barselvikar": "barselsvikar", # 1
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"baskien": "baskerlandet", # 1
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"bayrisk": "bayersk", # 1
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"bedstefader": "bedstefar", # 1
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"bedstemoder": "bedstemor", # 1
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"behefte": "behæfte", # 1
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"beheftelse": "behæftelse", # 1
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"bidragydende": "bidragsydende", # 1
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"bidragyder": "bidragsyder", # 1
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"billiondel": "billiontedel", # 1
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"blaseret": "blasert", # 1
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"bleskifte": "bleskift", # 1
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"blodbroder": "blodsbroder", # 2
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"blyantspidser": "blyantsspidser", # 2
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"boligministerium": "boligministerie", # 1
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"borhul": "borehul", # 1
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"broder": "bror", # 2
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"buldog": "bulldog", # 2
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"bådhus": "bådehus", # 1
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"børnepleje": "barnepleje", # 1
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"børneseng": "barneseng", # 1
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"børnestol": "barnestol", # 1
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"cairo": "kairo", # 1
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"cambodia": "cambodja", # 1
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"cambodianer": "cambodjaner", # 1
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"cambodiansk": "cambodjansk", # 1
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"camouflage": "kamuflage", # 2
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"campylobacter": "kampylobakter", # 1
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"centeret": "centret", # 2
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"chefskahyt": "chefkahyt", # 1
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"chefspost": "chefpost", # 1
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"chefssekretær": "chefsekretær", # 1
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"chefsstol": "chefstol", # 1
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"cirkulærskrivelse": "cirkulæreskrivelse", # 1
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"cognacsglas": "cognacglas", # 1
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"columnist": "kolumnist", # 1
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"cricket": "kricket", # 2
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"dagplejemoder": "dagplejemor", # 1
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"damaskesdug": "damaskdug", # 1
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"damp-barn": "dampbarn", # 1
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"delfinarium": "delfinarie", # 1
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"dentallaboratorium": "dentallaboratorie", # 1
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"diaramme": "diasramme", # 1
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"diaré": "diarré", # 1
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"dioxyd": "dioxid", # 1
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"dommedagsprædiken": "dommedagspræken", # 1
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"donut": "doughnut", # 2
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"driftmæssig": "driftsmæssig", # 1
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"driftsikker": "driftssikker", # 1
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"driftsikring": "driftssikring", # 1
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"drikkejogurt": "drikkeyoghurt", # 1
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"drivein": "drive-in", # 1
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"driveinbiograf": "drive-in-biograf", # 1
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"drøvel": "drøbel", # 1
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"dødskriterium": "dødskriterie", # 1
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"e-mail-adresse": "e-mailadresse", # 1
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"e-post-adresse": "e-postadresse", # 1
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"egypten": "ægypten", # 2
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"ekskommunicere": "ekskommunikere", # 1
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"eksperimentarium": "eksperimentarie", # 1
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"elsass": "Alsace", # 1
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"elsasser": "alsacer", # 1
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"elsassisk": "alsacisk", # 1
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"elvetal": "ellevetal", # 1
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"elvetiden": "ellevetiden", # 1
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"elveårig": "elleveårig", # 1
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"elveårs": "elleveårs", # 1
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"elveårsbarn": "elleveårsbarn", # 1
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"elvte": "ellevte", # 1
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"elvtedel": "ellevtedel", # 1
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"energiministerium": "energiministerie", # 1
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"erhvervsministerium": "erhvervsministerie", # 1
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"espaliere": "spaliere", # 2
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"evangelium": "evangelie", # 1
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"fagministerium": "fagministerie", # 1
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"fakse": "faxe", # 1
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"fangstkvota": "fangstkvote", # 1
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"fader": "far", # 2
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"farbroder": "farbror", # 1
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"farfader": "farfar", # 1
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"farmoder": "farmor", # 1
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"federal": "føderal", # 1
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"federalisering": "føderalisering", # 1
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"federalisme": "føderalisme", # 1
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"federalist": "føderalist", # 1
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"federalistisk": "føderalistisk", # 1
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"federation": "føderation", # 1
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"federativ": "føderativ", # 1
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"fejlbeheftet": "fejlbehæftet", # 1
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"femetagers": "femetages", # 2
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"femhundredekroneseddel": "femhundredkroneseddel", # 2
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"filmpremiere": "filmpræmiere", # 2
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"finansimperium": "finansimperie", # 1
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"finansministerium": "finansministerie", # 1
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"firehjulstræk": "firhjulstræk", # 2
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"fjernstudium": "fjernstudie", # 1
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"formalier": "formalia", # 1
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"formandsskift": "formandsskifte", # 1
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"fornemst": "fornemmest", # 2
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"fornuftparti": "fornuftsparti", # 1
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"fornuftstridig": "fornuftsstridig", # 1
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"fornuftvæsen": "fornuftsvæsen", # 1
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"fornuftægteskab": "fornuftsægteskab", # 1
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"forretningsministerium": "forretningsministerie", # 1
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"forskningsministerium": "forskningsministerie", # 1
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"forstudium": "forstudie", # 1
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"forsvarsministerium": "forsvarsministerie", # 1
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"frilægge": "fritlægge", # 1
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"frilæggelse": "fritlæggelse", # 1
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"frilægning": "fritlægning", # 1
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"fristille": "fritstille", # 1
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"fristilling": "fritstilling", # 1
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"fuldttegnet": "fuldtegnet", # 1
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"fødestedskriterium": "fødestedskriterie", # 1
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"fødevareministerium": "fødevareministerie", # 1
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"følesløs": "følelsesløs", # 1
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"følgeligt": "følgelig", # 1
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"førne": "førn", # 1
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"gearskift": "gearskifte", # 2
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"gladeligt": "gladelig", # 1
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"glosehefte": "glosehæfte", # 1
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"glædeløs": "glædesløs", # 1
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"gonoré": "gonorré", # 1
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|
||||||
"grangiveligt": "grangivelig", # 1
|
|
||||||
"grundliggende": "grundlæggende", # 2
|
|
||||||
"grønsag": "grøntsag", # 2
|
|
||||||
"gudbenådet": "gudsbenådet", # 1
|
|
||||||
"gudfader": "gudfar", # 1
|
|
||||||
"gudmoder": "gudmor", # 1
|
|
||||||
"gulvmop": "gulvmoppe", # 1
|
|
||||||
"gymnasium": "gymnasie", # 1
|
|
||||||
"hackning": "hacking", # 1
|
|
||||||
"halvbroder": "halvbror", # 1
|
|
||||||
"halvelvetiden": "halvellevetiden", # 1
|
|
||||||
"handelsgymnasium": "handelsgymnasie", # 1
|
|
||||||
"hefte": "hæfte", # 1
|
|
||||||
"hefteklamme": "hæfteklamme", # 1
|
|
||||||
"heftelse": "hæftelse", # 1
|
|
||||||
"heftemaskine": "hæftemaskine", # 1
|
|
||||||
"heftepistol": "hæftepistol", # 1
|
|
||||||
"hefteplaster": "hæfteplaster", # 1
|
|
||||||
"heftestraf": "hæftestraf", # 1
|
|
||||||
"heftning": "hæftning", # 1
|
|
||||||
"helbroder": "helbror", # 1
|
|
||||||
"hjemmeklasse": "hjemklasse", # 1
|
|
||||||
"hjulspin": "hjulspind", # 1
|
|
||||||
"huggevåben": "hugvåben", # 1
|
|
||||||
"hulmurisolering": "hulmursisolering", # 1
|
|
||||||
"hurtiggående": "hurtigtgående", # 2
|
|
||||||
"hurtigttørrende": "hurtigtørrende", # 2
|
|
||||||
"husmoder": "husmor", # 1
|
|
||||||
"hydroxyd": "hydroxid", # 1
|
|
||||||
"håndmikser": "håndmixer", # 1
|
|
||||||
"højtaler": "højttaler", # 2
|
|
||||||
"hønemoder": "hønemor", # 1
|
|
||||||
"ide": "idé", # 2
|
|
||||||
"imperium": "imperie", # 1
|
|
||||||
"imponerthed": "imponerethed", # 1
|
|
||||||
"inbox": "indboks", # 2
|
|
||||||
"indenrigsministerium": "indenrigsministerie", # 1
|
|
||||||
"indhefte": "indhæfte", # 1
|
|
||||||
"indheftning": "indhæftning", # 1
|
|
||||||
"indicium": "indicie", # 1
|
|
||||||
"indkassere": "inkassere", # 2
|
|
||||||
"iota": "jota", # 1
|
|
||||||
"jobskift": "jobskifte", # 1
|
|
||||||
"jogurt": "yoghurt", # 1
|
|
||||||
"jukeboks": "jukebox", # 1
|
|
||||||
"justitsministerium": "justitsministerie", # 1
|
|
||||||
"kalorifere": "kalorifer", # 1
|
|
||||||
"kandidatstipendium": "kandidatstipendie", # 1
|
|
||||||
"kannevas": "kanvas", # 1
|
|
||||||
"kaperssauce": "kaperssovs", # 1
|
|
||||||
"kigge": "kikke", # 2
|
|
||||||
"kirkeministerium": "kirkeministerie", # 1
|
|
||||||
"klapmydse": "klapmyds", # 1
|
|
||||||
"klimakterium": "klimakterie", # 1
|
|
||||||
"klogeligt": "klogelig", # 1
|
|
||||||
"knivblad": "knivsblad", # 1
|
|
||||||
"kollegaer": "kolleger", # 2
|
|
||||||
"kollegium": "kollegie", # 1
|
|
||||||
"kollegiehefte": "kollegiehæfte", # 1
|
|
||||||
"kollokviumx": "kollokvium", # 1
|
|
||||||
"kommissorium": "kommissorie", # 1
|
|
||||||
"kompendium": "kompendie", # 1
|
|
||||||
"komplicerthed": "komplicerethed", # 1
|
|
||||||
"konfederation": "konføderation", # 1
|
|
||||||
"konfedereret": "konfødereret", # 1
|
|
||||||
"konferensstudium": "konferensstudie", # 1
|
|
||||||
"konservatorium": "konservatorie", # 1
|
|
||||||
"konsulere": "konsultere", # 1
|
|
||||||
"kradsbørstig": "krasbørstig", # 2
|
|
||||||
"kravsspecifikation": "kravspecifikation", # 1
|
|
||||||
"krematorium": "krematorie", # 1
|
|
||||||
"krep": "crepe", # 1
|
|
||||||
"krepnylon": "crepenylon", # 1
|
|
||||||
"kreppapir": "crepepapir", # 1
|
|
||||||
"kricket": "cricket", # 2
|
|
||||||
"kriterium": "kriterie", # 1
|
|
||||||
"kroat": "kroater", # 2
|
|
||||||
"kroki": "croquis", # 1
|
|
||||||
"kronprinsepar": "kronprinspar", # 2
|
|
||||||
"kropdoven": "kropsdoven", # 1
|
|
||||||
"kroplus": "kropslus", # 1
|
|
||||||
"krøllefedt": "krølfedt", # 1
|
|
||||||
"kulturministerium": "kulturministerie", # 1
|
|
||||||
"kuponhefte": "kuponhæfte", # 1
|
|
||||||
"kvota": "kvote", # 1
|
|
||||||
"kvotaordning": "kvoteordning", # 1
|
|
||||||
"laboratorium": "laboratorie", # 1
|
|
||||||
"laksfarve": "laksefarve", # 1
|
|
||||||
"laksfarvet": "laksefarvet", # 1
|
|
||||||
"laksrød": "lakserød", # 1
|
|
||||||
"laksyngel": "lakseyngel", # 1
|
|
||||||
"laksørred": "lakseørred", # 1
|
|
||||||
"landbrugsministerium": "landbrugsministerie", # 1
|
|
||||||
"landskampstemning": "landskampsstemning", # 1
|
|
||||||
"langust": "languster", # 1
|
|
||||||
"lappegrejer": "lappegrej", # 1
|
|
||||||
"lavløn": "lavtløn", # 1
|
|
||||||
"lillebroder": "lillebror", # 1
|
|
||||||
"linear": "lineær", # 1
|
|
||||||
"loftlampe": "loftslampe", # 2
|
|
||||||
"log-in": "login", # 1
|
|
||||||
"login": "log-in", # 2
|
|
||||||
"lovmedholdig": "lovmedholdelig", # 1
|
|
||||||
"ludder": "luder", # 2
|
|
||||||
"lysholder": "lyseholder", # 1
|
|
||||||
"lægeskifte": "lægeskift", # 1
|
|
||||||
"lærvillig": "lærevillig", # 1
|
|
||||||
"løgsauce": "løgsovs", # 1
|
|
||||||
"madmoder": "madmor", # 1
|
|
||||||
"majonæse": "mayonnaise", # 1
|
|
||||||
"mareridtagtig": "mareridtsagtig", # 1
|
|
||||||
"margen": "margin", # 2
|
|
||||||
"martyrium": "martyrie", # 1
|
|
||||||
"mellemstatlig": "mellemstatslig", # 1
|
|
||||||
"menneskene": "menneskerne", # 2
|
|
||||||
"metropolis": "metropol", # 1
|
|
||||||
"miks": "mix", # 1
|
|
||||||
"mikse": "mixe", # 1
|
|
||||||
"miksepult": "mixerpult", # 1
|
|
||||||
"mikser": "mixer", # 1
|
|
||||||
"mikserpult": "mixerpult", # 1
|
|
||||||
"mikslån": "mixlån", # 1
|
|
||||||
"miksning": "mixning", # 1
|
|
||||||
"miljøministerium": "miljøministerie", # 1
|
|
||||||
"milliarddel": "milliardtedel", # 1
|
|
||||||
"milliondel": "milliontedel", # 1
|
|
||||||
"ministerium": "ministerie", # 1
|
|
||||||
"mop": "moppe", # 1
|
|
||||||
"moder": "mor", # 2
|
|
||||||
"moratorium": "moratorie", # 1
|
|
||||||
"morbroder": "morbror", # 1
|
|
||||||
"morfader": "morfar", # 1
|
|
||||||
"mormoder": "mormor", # 1
|
|
||||||
"musikkonservatorium": "musikkonservatorie", # 1
|
|
||||||
"muslingskal": "muslingeskal", # 1
|
|
||||||
"mysterium": "mysterie", # 1
|
|
||||||
"naturalieydelse": "naturalydelse", # 1
|
|
||||||
"naturalieøkonomi": "naturaløkonomi", # 1
|
|
||||||
"navnebroder": "navnebror", # 1
|
|
||||||
"nerium": "nerie", # 1
|
|
||||||
"nådeløs": "nådesløs", # 1
|
|
||||||
"nærforestående": "nærtforestående", # 1
|
|
||||||
"nærstående": "nærtstående", # 1
|
|
||||||
"observatorium": "observatorie", # 1
|
|
||||||
"oldefader": "oldefar", # 1
|
|
||||||
"oldemoder": "oldemor", # 1
|
|
||||||
"opgraduere": "opgradere", # 1
|
|
||||||
"opgraduering": "opgradering", # 1
|
|
||||||
"oratorium": "oratorie", # 1
|
|
||||||
"overbookning": "overbooking", # 1
|
|
||||||
"overpræsidium": "overpræsidie", # 1
|
|
||||||
"overstatlig": "overstatslig", # 1
|
|
||||||
"oxyd": "oxid", # 1
|
|
||||||
"oxydere": "oxidere", # 1
|
|
||||||
"oxydering": "oxidering", # 1
|
|
||||||
"pakkenellike": "pakkenelliker", # 1
|
|
||||||
"papirtynd": "papirstynd", # 1
|
|
||||||
"pastoralseminarium": "pastoralseminarie", # 1
|
|
||||||
"peanutsene": "peanuttene", # 2
|
|
||||||
"penalhus": "pennalhus", # 2
|
|
||||||
"pensakrav": "pensumkrav", # 1
|
|
||||||
"pepperoni": "peperoni", # 1
|
|
||||||
"peruaner": "peruvianer", # 1
|
|
||||||
"petrole": "petrol", # 1
|
|
||||||
"piltast": "piletast", # 1
|
|
||||||
"piltaste": "piletast", # 1
|
|
||||||
"planetarium": "planetarie", # 1
|
|
||||||
"plasteret": "plastret", # 2
|
|
||||||
"plastic": "plastik", # 2
|
|
||||||
"play-off-kamp": "playoffkamp", # 1
|
|
||||||
"plejefader": "plejefar", # 1
|
|
||||||
"plejemoder": "plejemor", # 1
|
|
||||||
"podium": "podie", # 2
|
|
||||||
"praha": "prag", # 2
|
|
||||||
"preciøs": "pretiøs", # 2
|
|
||||||
"privilegium": "privilegie", # 1
|
|
||||||
"progredere": "progrediere", # 1
|
|
||||||
"præsidium": "præsidie", # 1
|
|
||||||
"psykodelisk": "psykedelisk", # 1
|
|
||||||
"pudsegrejer": "pudsegrej", # 1
|
|
||||||
"referensgruppe": "referencegruppe", # 1
|
|
||||||
"referensramme": "referenceramme", # 1
|
|
||||||
"refugium": "refugie", # 1
|
|
||||||
"registeret": "registret", # 2
|
|
||||||
"remedium": "remedie", # 1
|
|
||||||
"remiks": "remix", # 1
|
|
||||||
"reservert": "reserveret", # 1
|
|
||||||
"ressortministerium": "ressortministerie", # 1
|
|
||||||
"ressource": "resurse", # 2
|
|
||||||
"resætte": "resette", # 1
|
|
||||||
"rettelig": "retteligt", # 1
|
|
||||||
"rettetaste": "rettetast", # 1
|
|
||||||
"returtaste": "returtast", # 1
|
|
||||||
"risici": "risikoer", # 2
|
|
||||||
"roll-on": "rollon", # 1
|
|
||||||
"rollehefte": "rollehæfte", # 1
|
|
||||||
"rostbøf": "roastbeef", # 1
|
|
||||||
"rygsæksturist": "rygsækturist", # 1
|
|
||||||
"rødstjært": "rødstjert", # 1
|
|
||||||
"saddel": "sadel", # 2
|
|
||||||
"samaritan": "samaritaner", # 2
|
|
||||||
"sanatorium": "sanatorie", # 1
|
|
||||||
"sauce": "sovs", # 1
|
|
||||||
"scanning": "skanning", # 2
|
|
||||||
"sceneskifte": "sceneskift", # 1
|
|
||||||
"scilla": "skilla", # 1
|
|
||||||
"sejflydende": "sejtflydende", # 1
|
|
||||||
"selvstudium": "selvstudie", # 1
|
|
||||||
"seminarium": "seminarie", # 1
|
|
||||||
"sennepssauce": "sennepssovs ", # 1
|
|
||||||
"servitutbeheftet": "servitutbehæftet", # 1
|
|
||||||
"sit-in": "sitin", # 1
|
|
||||||
"skatteministerium": "skatteministerie", # 1
|
|
||||||
"skifer": "skiffer", # 2
|
|
||||||
"skyldsfølelse": "skyldfølelse", # 1
|
|
||||||
"skysauce": "skysovs", # 1
|
|
||||||
"sladdertaske": "sladretaske", # 2
|
|
||||||
"sladdervorn": "sladrevorn", # 2
|
|
||||||
"slagsbroder": "slagsbror", # 1
|
|
||||||
"slettetaste": "slettetast", # 1
|
|
||||||
"smørsauce": "smørsovs", # 1
|
|
||||||
"snitsel": "schnitzel", # 1
|
|
||||||
"snobbeeffekt": "snobeffekt", # 2
|
|
||||||
"socialministerium": "socialministerie", # 1
|
|
||||||
"solarium": "solarie", # 1
|
|
||||||
"soldebroder": "soldebror", # 1
|
|
||||||
"spagetti": "spaghetti", # 1
|
|
||||||
"spagettistrop": "spaghettistrop", # 1
|
|
||||||
"spagettiwestern": "spaghettiwestern", # 1
|
|
||||||
"spin-off": "spinoff", # 1
|
|
||||||
"spinnefiskeri": "spindefiskeri", # 1
|
|
||||||
"spolorm": "spoleorm", # 1
|
|
||||||
"sproglaboratorium": "sproglaboratorie", # 1
|
|
||||||
"spækbræt": "spækkebræt", # 2
|
|
||||||
"stand-in": "standin", # 1
|
|
||||||
"stand-up-comedy": "standupcomedy", # 1
|
|
||||||
"stand-up-komiker": "standupkomiker", # 1
|
|
||||||
"statsministerium": "statsministerie", # 1
|
|
||||||
"stedbroder": "stedbror", # 1
|
|
||||||
"stedfader": "stedfar", # 1
|
|
||||||
"stedmoder": "stedmor", # 1
|
|
||||||
"stilehefte": "stilehæfte", # 1
|
|
||||||
"stipendium": "stipendie", # 1
|
|
||||||
"stjært": "stjert", # 1
|
|
||||||
"stjærthage": "stjerthage", # 1
|
|
||||||
"storebroder": "storebror", # 1
|
|
||||||
"stortå": "storetå", # 1
|
|
||||||
"strabads": "strabadser", # 1
|
|
||||||
"strømlinjet": "strømlinet", # 1
|
|
||||||
"studium": "studie", # 1
|
|
||||||
"stænkelap": "stænklap", # 1
|
|
||||||
"sundhedsministerium": "sundhedsministerie", # 1
|
|
||||||
"suppositorium": "suppositorie", # 1
|
|
||||||
"svejts": "schweiz", # 1
|
|
||||||
"svejtser": "schweizer", # 1
|
|
||||||
"svejtserfranc": "schweizerfranc", # 1
|
|
||||||
"svejtserost": "schweizerost", # 1
|
|
||||||
"svejtsisk": "schweizisk", # 1
|
|
||||||
"svigerfader": "svigerfar", # 1
|
|
||||||
"svigermoder": "svigermor", # 1
|
|
||||||
"svirebroder": "svirebror", # 1
|
|
||||||
"symposium": "symposie", # 1
|
|
||||||
"sælarium": "sælarie", # 1
|
|
||||||
"søreme": "sørme", # 2
|
|
||||||
"søterritorium": "søterritorie", # 1
|
|
||||||
"t-bone-steak": "t-bonesteak", # 1
|
|
||||||
"tabgivende": "tabsgivende", # 1
|
|
||||||
"tabuere": "tabuisere", # 1
|
|
||||||
"tabuering": "tabuisering", # 1
|
|
||||||
"tackle": "takle", # 2
|
|
||||||
"tackling": "takling", # 2
|
|
||||||
"taifun": "tyfon", # 1
|
|
||||||
"take-off": "takeoff", # 1
|
|
||||||
"taknemlig": "taknemmelig", # 2
|
|
||||||
"talehørelærer": "tale-høre-lærer", # 1
|
|
||||||
"talehøreundervisning": "tale-høre-undervisning", # 1
|
|
||||||
"tandstik": "tandstikker", # 1
|
|
||||||
"tao": "dao", # 1
|
|
||||||
"taoisme": "daoisme", # 1
|
|
||||||
"taoist": "daoist", # 1
|
|
||||||
"taoistisk": "daoistisk", # 1
|
|
||||||
"taverne": "taverna", # 1
|
|
||||||
"teateret": "teatret", # 2
|
|
||||||
"tekno": "techno", # 1
|
|
||||||
"temposkifte": "temposkift", # 1
|
|
||||||
"terrarium": "terrarie", # 1
|
|
||||||
"territorium": "territorie", # 1
|
|
||||||
"tesis": "tese", # 1
|
|
||||||
"tidsstudium": "tidsstudie", # 1
|
|
||||||
"tipoldefader": "tipoldefar", # 1
|
|
||||||
"tipoldemoder": "tipoldemor", # 1
|
|
||||||
"tomatsauce": "tomatsovs", # 1
|
|
||||||
"tonart": "toneart", # 1
|
|
||||||
"trafikministerium": "trafikministerie", # 1
|
|
||||||
"tredve": "tredive", # 1
|
|
||||||
"tredver": "trediver", # 1
|
|
||||||
"tredveårig": "trediveårig", # 1
|
|
||||||
"tredveårs": "trediveårs", # 1
|
|
||||||
"tredveårsfødselsdag": "trediveårsfødselsdag", # 1
|
|
||||||
"tredvte": "tredivte", # 1
|
|
||||||
"tredvtedel": "tredivtedel", # 1
|
|
||||||
"troldunge": "troldeunge", # 1
|
|
||||||
"trommestikke": "trommestik", # 1
|
|
||||||
"trubadur": "troubadour", # 2
|
|
||||||
"trøstepræmie": "trøstpræmie", # 2
|
|
||||||
"tummerum": "trummerum", # 1
|
|
||||||
"tumultuarisk": "tumultarisk", # 1
|
|
||||||
"tunghørighed": "tunghørhed", # 1
|
|
||||||
"tus": "tusch", # 2
|
|
||||||
"tusind": "tusinde", # 2
|
|
||||||
"tvillingbroder": "tvillingebror", # 1
|
|
||||||
"tvillingbror": "tvillingebror", # 1
|
|
||||||
"tvillingebroder": "tvillingebror", # 1
|
|
||||||
"ubeheftet": "ubehæftet", # 1
|
|
||||||
"udenrigsministerium": "udenrigsministerie", # 1
|
|
||||||
"udhulning": "udhuling", # 1
|
|
||||||
"udslaggivende": "udslagsgivende", # 1
|
|
||||||
"udspekulert": "udspekuleret", # 1
|
|
||||||
"udviklingsministerium": "udviklingsministerie", # 1
|
|
||||||
"uforpligtigende": "uforpligtende", # 1
|
|
||||||
"uheldvarslende": "uheldsvarslende", # 1
|
|
||||||
"uimponerthed": "uimponerethed", # 1
|
|
||||||
"undervisningsministerium": "undervisningsministerie", # 1
|
|
||||||
"unægtelig": "unægteligt", # 1
|
|
||||||
"urinale": "urinal", # 1
|
|
||||||
"uvederheftig": "uvederhæftig", # 1
|
|
||||||
"vabel": "vable", # 2
|
|
||||||
"vadi": "wadi", # 1
|
|
||||||
"vaklevorn": "vakkelvorn", # 1
|
|
||||||
"vanadin": "vanadium", # 1
|
|
||||||
"vaselin": "vaseline", # 1
|
|
||||||
"vederheftig": "vederhæftig", # 1
|
|
||||||
"vedhefte": "vedhæfte", # 1
|
|
||||||
"velar": "velær", # 1
|
|
||||||
"videndeling": "vidensdeling", # 2
|
|
||||||
"vinkelanførelsestegn": "vinkelanførselstegn", # 1
|
|
||||||
"vipstjært": "vipstjert", # 1
|
|
||||||
"vismut": "bismut", # 1
|
|
||||||
"visvas": "vissevasse", # 1
|
|
||||||
"voksværk": "vokseværk", # 1
|
|
||||||
"værtdyr": "værtsdyr", # 1
|
|
||||||
"værtplante": "værtsplante", # 1
|
|
||||||
"wienersnitsel": "wienerschnitzel", # 1
|
|
||||||
"yderliggående": "yderligtgående", # 2
|
|
||||||
"zombi": "zombie", # 1
|
|
||||||
"ægbakke": "æggebakke", # 1
|
|
||||||
"ægformet": "æggeformet", # 1
|
|
||||||
"ægleder": "æggeleder", # 1
|
|
||||||
"ækvilibrist": "ekvilibrist", # 2
|
|
||||||
"æselsøre": "æseløre", # 1
|
|
||||||
"øjehule": "øjenhule", # 1
|
|
||||||
"øjelåg": "øjenlåg", # 1
|
|
||||||
"øjeåbner": "øjenåbner", # 1
|
|
||||||
"økonomiministerium": "økonomiministerie", # 1
|
|
||||||
"ørenring": "ørering", # 2
|
|
||||||
"øvehefte": "øvehæfte", # 1
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -2,7 +2,6 @@
|
||||||
from __future__ import unicode_literals
|
from __future__ import unicode_literals
|
||||||
|
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
|
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
|
||||||
from .punctuation import TOKENIZER_INFIXES
|
from .punctuation import TOKENIZER_INFIXES
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
|
|
@ -10,18 +9,14 @@ from .stop_words import STOP_WORDS
|
||||||
from .syntax_iterators import SYNTAX_ITERATORS
|
from .syntax_iterators import SYNTAX_ITERATORS
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class GermanDefaults(Language.Defaults):
|
class GermanDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters[LANG] = lambda text: "de"
|
lex_attr_getters[LANG] = lambda text: "de"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], NORM_EXCEPTIONS, BASE_NORMS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
prefixes = TOKENIZER_PREFIXES
|
prefixes = TOKENIZER_PREFIXES
|
||||||
suffixes = TOKENIZER_SUFFIXES
|
suffixes = TOKENIZER_SUFFIXES
|
||||||
|
|
|
||||||
|
|
@ -1,16 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
# Here we only want to include the absolute most common words. Otherwise,
|
|
||||||
# this list would get impossibly long for German – especially considering the
|
|
||||||
# old vs. new spelling rules, and all possible cases.
|
|
||||||
|
|
||||||
|
|
||||||
_exc = {"daß": "dass"}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -10,21 +10,16 @@ from .lemmatizer import GreekLemmatizer
|
||||||
from .syntax_iterators import SYNTAX_ITERATORS
|
from .syntax_iterators import SYNTAX_ITERATORS
|
||||||
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
|
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...lookups import Lookups
|
from ...lookups import Lookups
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class GreekDefaults(Language.Defaults):
|
class GreekDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = lambda text: "el"
|
lex_attr_getters[LANG] = lambda text: "el"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
tag_map = TAG_MAP
|
tag_map = TAG_MAP
|
||||||
|
|
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -2,7 +2,6 @@
|
||||||
from __future__ import unicode_literals
|
from __future__ import unicode_literals
|
||||||
|
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
|
|
@ -10,10 +9,9 @@ from .morph_rules import MORPH_RULES
|
||||||
from .syntax_iterators import SYNTAX_ITERATORS
|
from .syntax_iterators import SYNTAX_ITERATORS
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
def _return_en(_):
|
def _return_en(_):
|
||||||
|
|
@ -24,9 +22,6 @@ class EnglishDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = _return_en
|
lex_attr_getters[LANG] = _return_en
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
tag_map = TAG_MAP
|
tag_map = TAG_MAP
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
|
|
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -4,25 +4,20 @@ from __future__ import unicode_literals
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .punctuation import TOKENIZER_SUFFIXES, TOKENIZER_PREFIXES, TOKENIZER_INFIXES
|
from .punctuation import TOKENIZER_SUFFIXES, TOKENIZER_PREFIXES, TOKENIZER_INFIXES
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
from .syntax_iterators import SYNTAX_ITERATORS
|
from .syntax_iterators import SYNTAX_ITERATORS
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class IndonesianDefaults(Language.Defaults):
|
class IndonesianDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters[LANG] = lambda text: "id"
|
lex_attr_getters[LANG] = lambda text: "id"
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
prefixes = TOKENIZER_PREFIXES
|
prefixes = TOKENIZER_PREFIXES
|
||||||
|
|
|
||||||
|
|
@ -1,532 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
# Daftar kosakata yang sering salah dieja
|
|
||||||
# https://id.wikipedia.org/wiki/Wikipedia:Daftar_kosakata_bahasa_Indonesia_yang_sering_salah_dieja
|
|
||||||
_exc = {
|
|
||||||
# Slang and abbreviations
|
|
||||||
"silahkan": "silakan",
|
|
||||||
"yg": "yang",
|
|
||||||
"kalo": "kalau",
|
|
||||||
"cawu": "caturwulan",
|
|
||||||
"ok": "oke",
|
|
||||||
"gak": "tidak",
|
|
||||||
"enggak": "tidak",
|
|
||||||
"nggak": "tidak",
|
|
||||||
"ndak": "tidak",
|
|
||||||
"ngga": "tidak",
|
|
||||||
"dgn": "dengan",
|
|
||||||
"tdk": "tidak",
|
|
||||||
"jg": "juga",
|
|
||||||
"klo": "kalau",
|
|
||||||
"denger": "dengar",
|
|
||||||
"pinter": "pintar",
|
|
||||||
"krn": "karena",
|
|
||||||
"nemuin": "menemukan",
|
|
||||||
"jgn": "jangan",
|
|
||||||
"udah": "sudah",
|
|
||||||
"sy": "saya",
|
|
||||||
"udh": "sudah",
|
|
||||||
"dapetin": "mendapatkan",
|
|
||||||
"ngelakuin": "melakukan",
|
|
||||||
"ngebuat": "membuat",
|
|
||||||
"membikin": "membuat",
|
|
||||||
"bikin": "buat",
|
|
||||||
# Daftar kosakata yang sering salah dieja
|
|
||||||
"malpraktik": "malapraktik",
|
|
||||||
"malfungsi": "malafungsi",
|
|
||||||
"malserap": "malaserap",
|
|
||||||
"maladaptasi": "malaadaptasi",
|
|
||||||
"malsuai": "malasuai",
|
|
||||||
"maldistribusi": "maladistribusi",
|
|
||||||
"malgizi": "malagizi",
|
|
||||||
"malsikap": "malasikap",
|
|
||||||
"memperhatikan": "memerhatikan",
|
|
||||||
"akte": "akta",
|
|
||||||
"cemilan": "camilan",
|
|
||||||
"esei": "esai",
|
|
||||||
"frase": "frasa",
|
|
||||||
"kafeteria": "kafetaria",
|
|
||||||
"ketapel": "katapel",
|
|
||||||
"kenderaan": "kendaraan",
|
|
||||||
"menejemen": "manajemen",
|
|
||||||
"menejer": "manajer",
|
|
||||||
"mesjid": "masjid",
|
|
||||||
"rebo": "rabu",
|
|
||||||
"seksama": "saksama",
|
|
||||||
"senggama": "sanggama",
|
|
||||||
"sekedar": "sekadar",
|
|
||||||
"seprei": "seprai",
|
|
||||||
"semedi": "semadi",
|
|
||||||
"samadi": "semadi",
|
|
||||||
"amandemen": "amendemen",
|
|
||||||
"algoritma": "algoritme",
|
|
||||||
"aritmatika": "aritmetika",
|
|
||||||
"metoda": "metode",
|
|
||||||
"materai": "meterai",
|
|
||||||
"meterei": "meterai",
|
|
||||||
"kalendar": "kalender",
|
|
||||||
"kadaluwarsa": "kedaluwarsa",
|
|
||||||
"katagori": "kategori",
|
|
||||||
"parlamen": "parlemen",
|
|
||||||
"sekular": "sekuler",
|
|
||||||
"selular": "seluler",
|
|
||||||
"sirkular": "sirkuler",
|
|
||||||
"survai": "survei",
|
|
||||||
"survey": "survei",
|
|
||||||
"aktuil": "aktual",
|
|
||||||
"formil": "formal",
|
|
||||||
"trotoir": "trotoar",
|
|
||||||
"komersiil": "komersial",
|
|
||||||
"komersil": "komersial",
|
|
||||||
"tradisionil": "tradisionial",
|
|
||||||
"orisinil": "orisinal",
|
|
||||||
"orijinil": "orisinal",
|
|
||||||
"afdol": "afdal",
|
|
||||||
"antri": "antre",
|
|
||||||
"apotik": "apotek",
|
|
||||||
"atlit": "atlet",
|
|
||||||
"atmosfir": "atmosfer",
|
|
||||||
"cidera": "cedera",
|
|
||||||
"cendikiawan": "cendekiawan",
|
|
||||||
"cepet": "cepat",
|
|
||||||
"cinderamata": "cenderamata",
|
|
||||||
"debet": "debit",
|
|
||||||
"difinisi": "definisi",
|
|
||||||
"dekrit": "dekret",
|
|
||||||
"disain": "desain",
|
|
||||||
"diskripsi": "deskripsi",
|
|
||||||
"diskotik": "diskotek",
|
|
||||||
"eksim": "eksem",
|
|
||||||
"exim": "eksem",
|
|
||||||
"faidah": "faedah",
|
|
||||||
"ekstrim": "ekstrem",
|
|
||||||
"ekstrimis": "ekstremis",
|
|
||||||
"komplit": "komplet",
|
|
||||||
"konkrit": "konkret",
|
|
||||||
"kongkrit": "konkret",
|
|
||||||
"kongkret": "konkret",
|
|
||||||
"kridit": "kredit",
|
|
||||||
"musium": "museum",
|
|
||||||
"pinalti": "penalti",
|
|
||||||
"piranti": "peranti",
|
|
||||||
"pinsil": "pensil",
|
|
||||||
"personil": "personel",
|
|
||||||
"sistim": "sistem",
|
|
||||||
"teoritis": "teoretis",
|
|
||||||
"vidio": "video",
|
|
||||||
"cengkeh": "cengkih",
|
|
||||||
"desertasi": "disertasi",
|
|
||||||
"hakekat": "hakikat",
|
|
||||||
"intelejen": "intelijen",
|
|
||||||
"kaedah": "kaidah",
|
|
||||||
"kempes": "kempis",
|
|
||||||
"kementrian": "kementerian",
|
|
||||||
"ledeng": "leding",
|
|
||||||
"nasehat": "nasihat",
|
|
||||||
"penasehat": "penasihat",
|
|
||||||
"praktek": "praktik",
|
|
||||||
"praktekum": "praktikum",
|
|
||||||
"resiko": "risiko",
|
|
||||||
"retsleting": "ritsleting",
|
|
||||||
"senen": "senin",
|
|
||||||
"amuba": "ameba",
|
|
||||||
"punggawa": "penggawa",
|
|
||||||
"surban": "serban",
|
|
||||||
"nomer": "nomor",
|
|
||||||
"sorban": "serban",
|
|
||||||
"bis": "bus",
|
|
||||||
"agribisnis": "agrobisnis",
|
|
||||||
"kantung": "kantong",
|
|
||||||
"khutbah": "khotbah",
|
|
||||||
"mandur": "mandor",
|
|
||||||
"rubuh": "roboh",
|
|
||||||
"pastur": "pastor",
|
|
||||||
"supir": "sopir",
|
|
||||||
"goncang": "guncang",
|
|
||||||
"goa": "gua",
|
|
||||||
"kaos": "kaus",
|
|
||||||
"kokoh": "kukuh",
|
|
||||||
"komulatif": "kumulatif",
|
|
||||||
"kolomnis": "kolumnis",
|
|
||||||
"korma": "kurma",
|
|
||||||
"lobang": "lubang",
|
|
||||||
"limo": "limusin",
|
|
||||||
"limosin": "limusin",
|
|
||||||
"mangkok": "mangkuk",
|
|
||||||
"saos": "saus",
|
|
||||||
"sop": "sup",
|
|
||||||
"sorga": "surga",
|
|
||||||
"tegor": "tegur",
|
|
||||||
"telor": "telur",
|
|
||||||
"obrak-abrik": "ubrak-abrik",
|
|
||||||
"ekwivalen": "ekuivalen",
|
|
||||||
"frekwensi": "frekuensi",
|
|
||||||
"konsekwensi": "konsekuensi",
|
|
||||||
"kwadran": "kuadran",
|
|
||||||
"kwadrat": "kuadrat",
|
|
||||||
"kwalifikasi": "kualifikasi",
|
|
||||||
"kwalitas": "kualitas",
|
|
||||||
"kwalitet": "kualitas",
|
|
||||||
"kwalitatif": "kualitatif",
|
|
||||||
"kwantitas": "kuantitas",
|
|
||||||
"kwantitatif": "kuantitatif",
|
|
||||||
"kwantum": "kuantum",
|
|
||||||
"kwartal": "kuartal",
|
|
||||||
"kwintal": "kuintal",
|
|
||||||
"kwitansi": "kuitansi",
|
|
||||||
"kwatir": "khawatir",
|
|
||||||
"kuatir": "khawatir",
|
|
||||||
"jadual": "jadwal",
|
|
||||||
"hirarki": "hierarki",
|
|
||||||
"karir": "karier",
|
|
||||||
"aktip": "aktif",
|
|
||||||
"daptar": "daftar",
|
|
||||||
"efektip": "efektif",
|
|
||||||
"epektif": "efektif",
|
|
||||||
"epektip": "efektif",
|
|
||||||
"Pebruari": "Februari",
|
|
||||||
"pisik": "fisik",
|
|
||||||
"pondasi": "fondasi",
|
|
||||||
"photo": "foto",
|
|
||||||
"photokopi": "fotokopi",
|
|
||||||
"hapal": "hafal",
|
|
||||||
"insap": "insaf",
|
|
||||||
"insyaf": "insaf",
|
|
||||||
"konperensi": "konferensi",
|
|
||||||
"kreatip": "kreatif",
|
|
||||||
"kreativ": "kreatif",
|
|
||||||
"maap": "maaf",
|
|
||||||
"napsu": "nafsu",
|
|
||||||
"negatip": "negatif",
|
|
||||||
"negativ": "negatif",
|
|
||||||
"objektip": "objektif",
|
|
||||||
"obyektip": "objektif",
|
|
||||||
"obyektif": "objektif",
|
|
||||||
"pasip": "pasif",
|
|
||||||
"pasiv": "pasif",
|
|
||||||
"positip": "positif",
|
|
||||||
"positiv": "positif",
|
|
||||||
"produktip": "produktif",
|
|
||||||
"produktiv": "produktif",
|
|
||||||
"sarap": "saraf",
|
|
||||||
"sertipikat": "sertifikat",
|
|
||||||
"subjektip": "subjektif",
|
|
||||||
"subyektip": "subjektif",
|
|
||||||
"subyektif": "subjektif",
|
|
||||||
"tarip": "tarif",
|
|
||||||
"transitip": "transitif",
|
|
||||||
"transitiv": "transitif",
|
|
||||||
"faham": "paham",
|
|
||||||
"fikir": "pikir",
|
|
||||||
"berfikir": "berpikir",
|
|
||||||
"telefon": "telepon",
|
|
||||||
"telfon": "telepon",
|
|
||||||
"telpon": "telepon",
|
|
||||||
"tilpon": "telepon",
|
|
||||||
"nafas": "napas",
|
|
||||||
"bernafas": "bernapas",
|
|
||||||
"pernafasan": "pernapasan",
|
|
||||||
"vermak": "permak",
|
|
||||||
"vulpen": "pulpen",
|
|
||||||
"aktifis": "aktivis",
|
|
||||||
"konfeksi": "konveksi",
|
|
||||||
"motifasi": "motivasi",
|
|
||||||
"Nopember": "November",
|
|
||||||
"propinsi": "provinsi",
|
|
||||||
"babtis": "baptis",
|
|
||||||
"jerembab": "jerembap",
|
|
||||||
"lembab": "lembap",
|
|
||||||
"sembab": "sembap",
|
|
||||||
"saptu": "sabtu",
|
|
||||||
"tekat": "tekad",
|
|
||||||
"bejad": "bejat",
|
|
||||||
"nekad": "nekat",
|
|
||||||
"otoped": "otopet",
|
|
||||||
"skuad": "skuat",
|
|
||||||
"jenius": "genius",
|
|
||||||
"marjin": "margin",
|
|
||||||
"marjinal": "marginal",
|
|
||||||
"obyek": "objek",
|
|
||||||
"subyek": "subjek",
|
|
||||||
"projek": "proyek",
|
|
||||||
"azas": "asas",
|
|
||||||
"ijasah": "ijazah",
|
|
||||||
"jenasah": "jenazah",
|
|
||||||
"plasa": "plaza",
|
|
||||||
"bathin": "batin",
|
|
||||||
"Katholik": "Katolik",
|
|
||||||
"orthografi": "ortografi",
|
|
||||||
"pathogen": "patogen",
|
|
||||||
"theologi": "teologi",
|
|
||||||
"ijin": "izin",
|
|
||||||
"rejeki": "rezeki",
|
|
||||||
"rejim": "rezim",
|
|
||||||
"jaman": "zaman",
|
|
||||||
"jamrud": "zamrud",
|
|
||||||
"jinah": "zina",
|
|
||||||
"perjinahan": "perzinaan",
|
|
||||||
"anugrah": "anugerah",
|
|
||||||
"cendrawasih": "cenderawasih",
|
|
||||||
"jendral": "jenderal",
|
|
||||||
"kripik": "keripik",
|
|
||||||
"krupuk": "kerupuk",
|
|
||||||
"ksatria": "kesatria",
|
|
||||||
"mentri": "menteri",
|
|
||||||
"negri": "negeri",
|
|
||||||
"Prancis": "Perancis",
|
|
||||||
"sebrang": "seberang",
|
|
||||||
"menyebrang": "menyeberang",
|
|
||||||
"Sumatra": "Sumatera",
|
|
||||||
"trampil": "terampil",
|
|
||||||
"isteri": "istri",
|
|
||||||
"justeru": "justru",
|
|
||||||
"perajurit": "prajurit",
|
|
||||||
"putera": "putra",
|
|
||||||
"puteri": "putri",
|
|
||||||
"samudera": "samudra",
|
|
||||||
"sastera": "sastra",
|
|
||||||
"sutera": "sutra",
|
|
||||||
"terompet": "trompet",
|
|
||||||
"iklas": "ikhlas",
|
|
||||||
"iktisar": "ikhtisar",
|
|
||||||
"kafilah": "khafilah",
|
|
||||||
"kawatir": "khawatir",
|
|
||||||
"kotbah": "khotbah",
|
|
||||||
"kusyuk": "khusyuk",
|
|
||||||
"makluk": "makhluk",
|
|
||||||
"mahluk": "makhluk",
|
|
||||||
"mahkluk": "makhluk",
|
|
||||||
"nahkoda": "nakhoda",
|
|
||||||
"nakoda": "nakhoda",
|
|
||||||
"tahta": "takhta",
|
|
||||||
"takhyul": "takhayul",
|
|
||||||
"tahyul": "takhayul",
|
|
||||||
"tahayul": "takhayul",
|
|
||||||
"akhli": "ahli",
|
|
||||||
"anarkhi": "anarki",
|
|
||||||
"kharisma": "karisma",
|
|
||||||
"kharismatik": "karismatik",
|
|
||||||
"mahsud": "maksud",
|
|
||||||
"makhsud": "maksud",
|
|
||||||
"rakhmat": "rahmat",
|
|
||||||
"tekhnik": "teknik",
|
|
||||||
"tehnik": "teknik",
|
|
||||||
"tehnologi": "teknologi",
|
|
||||||
"ikhwal": "ihwal",
|
|
||||||
"expor": "ekspor",
|
|
||||||
"extra": "ekstra",
|
|
||||||
"komplex": "komplek",
|
|
||||||
"sex": "seks",
|
|
||||||
"taxi": "taksi",
|
|
||||||
"extasi": "ekstasi",
|
|
||||||
"syaraf": "saraf",
|
|
||||||
"syurga": "surga",
|
|
||||||
"mashur": "masyhur",
|
|
||||||
"masyur": "masyhur",
|
|
||||||
"mahsyur": "masyhur",
|
|
||||||
"mashyur": "masyhur",
|
|
||||||
"muadzin": "muazin",
|
|
||||||
"adzan": "azan",
|
|
||||||
"ustadz": "ustaz",
|
|
||||||
"ustad": "ustaz",
|
|
||||||
"ustadzah": "ustaz",
|
|
||||||
"dzikir": "zikir",
|
|
||||||
"dzuhur": "zuhur",
|
|
||||||
"dhuhur": "zuhur",
|
|
||||||
"zhuhur": "zuhur",
|
|
||||||
"analisa": "analisis",
|
|
||||||
"diagnosa": "diagnosis",
|
|
||||||
"hipotesa": "hipotesis",
|
|
||||||
"sintesa": "sintesis",
|
|
||||||
"aktiviti": "aktivitas",
|
|
||||||
"aktifitas": "aktivitas",
|
|
||||||
"efektifitas": "efektivitas",
|
|
||||||
"komuniti": "komunitas",
|
|
||||||
"kreatifitas": "kreativitas",
|
|
||||||
"produktifitas": "produktivitas",
|
|
||||||
"realiti": "realitas",
|
|
||||||
"realita": "realitas",
|
|
||||||
"selebriti": "selebritas",
|
|
||||||
"spotifitas": "sportivitas",
|
|
||||||
"universiti": "universitas",
|
|
||||||
"utiliti": "utilitas",
|
|
||||||
"validiti": "validitas",
|
|
||||||
"dilokalisir": "dilokalisasi",
|
|
||||||
"didramatisir": "didramatisasi",
|
|
||||||
"dipolitisir": "dipolitisasi",
|
|
||||||
"dinetralisir": "dinetralisasi",
|
|
||||||
"dikonfrontir": "dikonfrontasi",
|
|
||||||
"mendominir": "mendominasi",
|
|
||||||
"koordinir": "koordinasi",
|
|
||||||
"proklamir": "proklamasi",
|
|
||||||
"terorganisir": "terorganisasi",
|
|
||||||
"terealisir": "terealisasi",
|
|
||||||
"robah": "ubah",
|
|
||||||
"dirubah": "diubah",
|
|
||||||
"merubah": "mengubah",
|
|
||||||
"terlanjur": "telanjur",
|
|
||||||
"terlantar": "telantar",
|
|
||||||
"penglepasan": "pelepasan",
|
|
||||||
"pelihatan": "penglihatan",
|
|
||||||
"pemukiman": "permukiman",
|
|
||||||
"pengrumahan": "perumahan",
|
|
||||||
"penyewaan": "persewaan",
|
|
||||||
"menyintai": "mencintai",
|
|
||||||
"menyolok": "mencolok",
|
|
||||||
"contek": "sontek",
|
|
||||||
"mencontek": "menyontek",
|
|
||||||
"pungkir": "mungkir",
|
|
||||||
"dipungkiri": "dimungkiri",
|
|
||||||
"kupungkiri": "kumungkiri",
|
|
||||||
"kaupungkiri": "kaumungkiri",
|
|
||||||
"nampak": "tampak",
|
|
||||||
"nampaknya": "tampaknya",
|
|
||||||
"nongkrong": "tongkrong",
|
|
||||||
"berternak": "beternak",
|
|
||||||
"berterbangan": "beterbangan",
|
|
||||||
"berserta": "beserta",
|
|
||||||
"berperkara": "beperkara",
|
|
||||||
"berpergian": "bepergian",
|
|
||||||
"berkerja": "bekerja",
|
|
||||||
"berberapa": "beberapa",
|
|
||||||
"terbersit": "tebersit",
|
|
||||||
"terpercaya": "tepercaya",
|
|
||||||
"terperdaya": "teperdaya",
|
|
||||||
"terpercik": "tepercik",
|
|
||||||
"terpergok": "tepergok",
|
|
||||||
"aksesoris": "aksesori",
|
|
||||||
"handal": "andal",
|
|
||||||
"hantar": "antar",
|
|
||||||
"panutan": "anutan",
|
|
||||||
"atsiri": "asiri",
|
|
||||||
"bhakti": "bakti",
|
|
||||||
"china": "cina",
|
|
||||||
"dharma": "darma",
|
|
||||||
"diktaktor": "diktator",
|
|
||||||
"eksport": "ekspor",
|
|
||||||
"hembus": "embus",
|
|
||||||
"hadits": "hadis",
|
|
||||||
"hadist": "hadits",
|
|
||||||
"harafiah": "harfiah",
|
|
||||||
"himbau": "imbau",
|
|
||||||
"import": "impor",
|
|
||||||
"inget": "ingat",
|
|
||||||
"hisap": "isap",
|
|
||||||
"interprestasi": "interpretasi",
|
|
||||||
"kangker": "kanker",
|
|
||||||
"konggres": "kongres",
|
|
||||||
"lansekap": "lanskap",
|
|
||||||
"maghrib": "magrib",
|
|
||||||
"emak": "mak",
|
|
||||||
"moderen": "modern",
|
|
||||||
"pasport": "paspor",
|
|
||||||
"perduli": "peduli",
|
|
||||||
"ramadhan": "ramadan",
|
|
||||||
"rapih": "rapi",
|
|
||||||
"Sansekerta": "Sanskerta",
|
|
||||||
"shalat": "salat",
|
|
||||||
"sholat": "salat",
|
|
||||||
"silahkan": "silakan",
|
|
||||||
"standard": "standar",
|
|
||||||
"hutang": "utang",
|
|
||||||
"zinah": "zina",
|
|
||||||
"ambulan": "ambulans",
|
|
||||||
"antartika": "sntarktika",
|
|
||||||
"arteri": "arteria",
|
|
||||||
"asik": "asyik",
|
|
||||||
"australi": "australia",
|
|
||||||
"denga": "dengan",
|
|
||||||
"depo": "depot",
|
|
||||||
"detil": "detail",
|
|
||||||
"ensiklopedi": "ensiklopedia",
|
|
||||||
"elit": "elite",
|
|
||||||
"frustasi": "frustrasi",
|
|
||||||
"gladi": "geladi",
|
|
||||||
"greget": "gereget",
|
|
||||||
"itali": "italia",
|
|
||||||
"karna": "karena",
|
|
||||||
"klenteng": "kelenteng",
|
|
||||||
"erling": "kerling",
|
|
||||||
"kontruksi": "konstruksi",
|
|
||||||
"masal": "massal",
|
|
||||||
"merk": "merek",
|
|
||||||
"respon": "respons",
|
|
||||||
"diresponi": "direspons",
|
|
||||||
"skak": "sekak",
|
|
||||||
"stir": "setir",
|
|
||||||
"singapur": "singapura",
|
|
||||||
"standarisasi": "standardisasi",
|
|
||||||
"varitas": "varietas",
|
|
||||||
"amphibi": "amfibi",
|
|
||||||
"anjlog": "anjlok",
|
|
||||||
"alpukat": "avokad",
|
|
||||||
"alpokat": "avokad",
|
|
||||||
"bolpen": "pulpen",
|
|
||||||
"cabe": "cabai",
|
|
||||||
"cabay": "cabai",
|
|
||||||
"ceret": "cerek",
|
|
||||||
"differensial": "diferensial",
|
|
||||||
"duren": "durian",
|
|
||||||
"faksimili": "faksimile",
|
|
||||||
"faksimil": "faksimile",
|
|
||||||
"graha": "gerha",
|
|
||||||
"goblog": "goblok",
|
|
||||||
"gombrong": "gombroh",
|
|
||||||
"horden": "gorden",
|
|
||||||
"korden": "gorden",
|
|
||||||
"gubug": "gubuk",
|
|
||||||
"imaginasi": "imajinasi",
|
|
||||||
"jerigen": "jeriken",
|
|
||||||
"jirigen": "jeriken",
|
|
||||||
"carut-marut": "karut-marut",
|
|
||||||
"kwota": "kuota",
|
|
||||||
"mahzab": "mazhab",
|
|
||||||
"mempesona": "memesona",
|
|
||||||
"milyar": "miliar",
|
|
||||||
"missi": "misi",
|
|
||||||
"nenas": "nanas",
|
|
||||||
"negoisasi": "negosiasi",
|
|
||||||
"automotif": "otomotif",
|
|
||||||
"pararel": "paralel",
|
|
||||||
"paska": "pasca",
|
|
||||||
"prosen": "persen",
|
|
||||||
"pete": "petai",
|
|
||||||
"petay": "petai",
|
|
||||||
"proffesor": "profesor",
|
|
||||||
"rame": "ramai",
|
|
||||||
"rapot": "rapor",
|
|
||||||
"rileks": "relaks",
|
|
||||||
"rileksasi": "relaksasi",
|
|
||||||
"renumerasi": "remunerasi",
|
|
||||||
"seketaris": "sekretaris",
|
|
||||||
"sekertaris": "sekretaris",
|
|
||||||
"sensorik": "sensoris",
|
|
||||||
"sentausa": "sentosa",
|
|
||||||
"strawberi": "stroberi",
|
|
||||||
"strawbery": "stroberi",
|
|
||||||
"taqwa": "takwa",
|
|
||||||
"tauco": "taoco",
|
|
||||||
"tauge": "taoge",
|
|
||||||
"toge": "taoge",
|
|
||||||
"tauladan": "teladan",
|
|
||||||
"taubat": "tobat",
|
|
||||||
"trilyun": "triliun",
|
|
||||||
"vissi": "visi",
|
|
||||||
"coklat": "cokelat",
|
|
||||||
"narkotika": "narkotik",
|
|
||||||
"oase": "oasis",
|
|
||||||
"politisi": "politikus",
|
|
||||||
"terong": "terung",
|
|
||||||
"wool": "wol",
|
|
||||||
"himpit": "impit",
|
|
||||||
"mujizat": "mukjizat",
|
|
||||||
"mujijat": "mukjizat",
|
|
||||||
"yag": "yang",
|
|
||||||
}
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -2,26 +2,21 @@
|
||||||
from __future__ import unicode_literals
|
from __future__ import unicode_literals
|
||||||
|
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .punctuation import TOKENIZER_INFIXES
|
from .punctuation import TOKENIZER_INFIXES
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class LuxembourgishDefaults(Language.Defaults):
|
class LuxembourgishDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = lambda text: "lb"
|
lex_attr_getters[LANG] = lambda text: "lb"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], NORM_EXCEPTIONS, BASE_NORMS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
tag_map = TAG_MAP
|
tag_map = TAG_MAP
|
||||||
|
|
|
||||||
|
|
@ -1,16 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
# TODO
|
|
||||||
# norm execptions: find a possibility to deal with the zillions of spelling
|
|
||||||
# variants (vläicht = vlaicht, vleicht, viläicht, viläischt, etc. etc.)
|
|
||||||
# here one could include the most common spelling mistakes
|
|
||||||
|
|
||||||
_exc = {"dass": "datt", "viläicht": "vläicht"}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -186,10 +186,6 @@ def suffix(string):
|
||||||
return string[-3:]
|
return string[-3:]
|
||||||
|
|
||||||
|
|
||||||
def cluster(string):
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def is_alpha(string):
|
def is_alpha(string):
|
||||||
return string.isalpha()
|
return string.isalpha()
|
||||||
|
|
||||||
|
|
@ -218,20 +214,11 @@ def is_stop(string, stops=set()):
|
||||||
return string.lower() in stops
|
return string.lower() in stops
|
||||||
|
|
||||||
|
|
||||||
def is_oov(string):
|
|
||||||
return True
|
|
||||||
|
|
||||||
|
|
||||||
def get_prob(string):
|
|
||||||
return -20.0
|
|
||||||
|
|
||||||
|
|
||||||
LEX_ATTRS = {
|
LEX_ATTRS = {
|
||||||
attrs.LOWER: lower,
|
attrs.LOWER: lower,
|
||||||
attrs.NORM: lower,
|
attrs.NORM: lower,
|
||||||
attrs.PREFIX: prefix,
|
attrs.PREFIX: prefix,
|
||||||
attrs.SUFFIX: suffix,
|
attrs.SUFFIX: suffix,
|
||||||
attrs.CLUSTER: cluster,
|
|
||||||
attrs.IS_ALPHA: is_alpha,
|
attrs.IS_ALPHA: is_alpha,
|
||||||
attrs.IS_DIGIT: is_digit,
|
attrs.IS_DIGIT: is_digit,
|
||||||
attrs.IS_LOWER: is_lower,
|
attrs.IS_LOWER: is_lower,
|
||||||
|
|
@ -239,8 +226,6 @@ LEX_ATTRS = {
|
||||||
attrs.IS_TITLE: is_title,
|
attrs.IS_TITLE: is_title,
|
||||||
attrs.IS_UPPER: is_upper,
|
attrs.IS_UPPER: is_upper,
|
||||||
attrs.IS_STOP: is_stop,
|
attrs.IS_STOP: is_stop,
|
||||||
attrs.IS_OOV: is_oov,
|
|
||||||
attrs.PROB: get_prob,
|
|
||||||
attrs.LIKE_EMAIL: like_email,
|
attrs.LIKE_EMAIL: like_email,
|
||||||
attrs.LIKE_NUM: like_num,
|
attrs.LIKE_NUM: like_num,
|
||||||
attrs.IS_PUNCT: is_punct,
|
attrs.IS_PUNCT: is_punct,
|
||||||
|
|
|
||||||
|
|
@ -5,22 +5,17 @@ from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_PREFIXES
|
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_PREFIXES
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class PortugueseDefaults(Language.Defaults):
|
class PortugueseDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters[LANG] = lambda text: "pt"
|
lex_attr_getters[LANG] = lambda text: "pt"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
|
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
# These exceptions are used to add NORM values based on a token's ORTH value.
|
|
||||||
# Individual languages can also add their own exceptions and overwrite them -
|
|
||||||
# for example, British vs. American spelling in English.
|
|
||||||
|
|
||||||
# Norms are only set if no alternative is provided in the tokenizer exceptions.
|
|
||||||
# Note that this does not change any other token attributes. Its main purpose
|
|
||||||
# is to normalise the word representations so that equivalent tokens receive
|
|
||||||
# similar representations. For example: $ and € are very different, but they're
|
|
||||||
# both currency symbols. By normalising currency symbols to $, all symbols are
|
|
||||||
# seen as similar, no matter how common they are in the training data.
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {
|
|
||||||
"R$": "$", # Real
|
|
||||||
"r$": "$", # Real
|
|
||||||
"Cz$": "$", # Cruzado
|
|
||||||
"cz$": "$", # Cruzado
|
|
||||||
"NCz$": "$", # Cruzado Novo
|
|
||||||
"ncz$": "$", # Cruzado Novo
|
|
||||||
}
|
|
||||||
|
|
@ -3,26 +3,21 @@ from __future__ import unicode_literals, print_function
|
||||||
|
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
from .lemmatizer import RussianLemmatizer
|
from .lemmatizer import RussianLemmatizer
|
||||||
|
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
from ...util import update_exc
|
||||||
from ...util import update_exc, add_lookups
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...lookups import Lookups
|
from ...lookups import Lookups
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
|
|
||||||
|
|
||||||
class RussianDefaults(Language.Defaults):
|
class RussianDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = lambda text: "ru"
|
lex_attr_getters[LANG] = lambda text: "ru"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
tag_map = TAG_MAP
|
tag_map = TAG_MAP
|
||||||
|
|
|
||||||
|
|
@ -1,36 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
|
|
||||||
_exc = {
|
|
||||||
# Slang
|
|
||||||
"прив": "привет",
|
|
||||||
"дарова": "привет",
|
|
||||||
"дак": "так",
|
|
||||||
"дык": "так",
|
|
||||||
"здарова": "привет",
|
|
||||||
"пакедава": "пока",
|
|
||||||
"пакедаво": "пока",
|
|
||||||
"ща": "сейчас",
|
|
||||||
"спс": "спасибо",
|
|
||||||
"пжлст": "пожалуйста",
|
|
||||||
"плиз": "пожалуйста",
|
|
||||||
"ладненько": "ладно",
|
|
||||||
"лады": "ладно",
|
|
||||||
"лан": "ладно",
|
|
||||||
"ясн": "ясно",
|
|
||||||
"всм": "всмысле",
|
|
||||||
"хош": "хочешь",
|
|
||||||
"хаюшки": "привет",
|
|
||||||
"оч": "очень",
|
|
||||||
"че": "что",
|
|
||||||
"чо": "что",
|
|
||||||
"шо": "что",
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -3,22 +3,17 @@ from __future__ import unicode_literals
|
||||||
|
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||||||
from ..norm_exceptions import BASE_NORMS
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...attrs import LANG, NORM
|
from ...attrs import LANG
|
||||||
from ...util import update_exc, add_lookups
|
from ...util import update_exc
|
||||||
|
|
||||||
|
|
||||||
class SerbianDefaults(Language.Defaults):
|
class SerbianDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = lambda text: "sr"
|
lex_attr_getters[LANG] = lambda text: "sr"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -1,26 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
|
|
||||||
_exc = {
|
|
||||||
# Slang
|
|
||||||
"ћале": "отац",
|
|
||||||
"кева": "мајка",
|
|
||||||
"смор": "досада",
|
|
||||||
"кец": "јединица",
|
|
||||||
"тебра": "брат",
|
|
||||||
"штребер": "ученик",
|
|
||||||
"факс": "факултет",
|
|
||||||
"профа": "професор",
|
|
||||||
"бус": "аутобус",
|
|
||||||
"пискарало": "службеник",
|
|
||||||
"бакутанер": "бака",
|
|
||||||
"џибер": "простак",
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -1,139 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
_exc = {
|
|
||||||
# Regional words normal
|
|
||||||
# Sri Lanka - wikipeadia
|
|
||||||
"இங்க": "இங்கே",
|
|
||||||
"வாங்க": "வாருங்கள்",
|
|
||||||
"ஒண்டு": "ஒன்று",
|
|
||||||
"கண்டு": "கன்று",
|
|
||||||
"கொண்டு": "கொன்று",
|
|
||||||
"பண்டி": "பன்றி",
|
|
||||||
"பச்ச": "பச்சை",
|
|
||||||
"அம்பது": "ஐம்பது",
|
|
||||||
"வெச்ச": "வைத்து",
|
|
||||||
"வச்ச": "வைத்து",
|
|
||||||
"வச்சி": "வைத்து",
|
|
||||||
"வாளைப்பழம்": "வாழைப்பழம்",
|
|
||||||
"மண்ணு": "மண்",
|
|
||||||
"பொன்னு": "பொன்",
|
|
||||||
"சாவல்": "சேவல்",
|
|
||||||
"அங்கால": "அங்கு ",
|
|
||||||
"அசுப்பு": "நடமாட்டம்",
|
|
||||||
"எழுவான் கரை": "எழுவான்கரை",
|
|
||||||
"ஓய்யாரம்": "எழில் ",
|
|
||||||
"ஒளும்பு": "எழும்பு",
|
|
||||||
"ஓர்மை": "துணிவு",
|
|
||||||
"கச்சை": "கோவணம்",
|
|
||||||
"கடப்பு": "தெருவாசல்",
|
|
||||||
"சுள்ளி": "காய்ந்த குச்சி",
|
|
||||||
"திறாவுதல்": "தடவுதல்",
|
|
||||||
"நாசமறுப்பு": "தொல்லை",
|
|
||||||
"பரிசாரி": "வைத்தியன்",
|
|
||||||
"பறவாதி": "பேராசைக்காரன்",
|
|
||||||
"பிசினி": "உலோபி ",
|
|
||||||
"விசர்": "பைத்தியம்",
|
|
||||||
"ஏனம்": "பாத்திரம்",
|
|
||||||
"ஏலா": "இயலாது",
|
|
||||||
"ஒசில்": "அழகு",
|
|
||||||
"ஒள்ளுப்பம்": "கொஞ்சம்",
|
|
||||||
# Srilankan and indian
|
|
||||||
"குத்துமதிப்பு": "",
|
|
||||||
"நூனாயம்": "நூல்நயம்",
|
|
||||||
"பைய": "மெதுவாக",
|
|
||||||
"மண்டை": "தலை",
|
|
||||||
"வெள்ளனே": "சீக்கிரம்",
|
|
||||||
"உசுப்பு": "எழுப்பு",
|
|
||||||
"ஆணம்": "குழம்பு",
|
|
||||||
"உறக்கம்": "தூக்கம்",
|
|
||||||
"பஸ்": "பேருந்து",
|
|
||||||
"களவு": "திருட்டு ",
|
|
||||||
# relationship
|
|
||||||
"புருசன்": "கணவன்",
|
|
||||||
"பொஞ்சாதி": "மனைவி",
|
|
||||||
"புள்ள": "பிள்ளை",
|
|
||||||
"பிள்ள": "பிள்ளை",
|
|
||||||
"ஆம்பிளப்புள்ள": "ஆண் பிள்ளை",
|
|
||||||
"பொம்பிளப்புள்ள": "பெண் பிள்ளை",
|
|
||||||
"அண்ணாச்சி": "அண்ணா",
|
|
||||||
"அக்காச்சி": "அக்கா",
|
|
||||||
"தங்கச்சி": "தங்கை",
|
|
||||||
# difference words
|
|
||||||
"பொடியன்": "சிறுவன்",
|
|
||||||
"பொட்டை": "சிறுமி",
|
|
||||||
"பிறகு": "பின்பு",
|
|
||||||
"டக்கென்டு": "விரைவாக",
|
|
||||||
"கெதியா": "விரைவாக",
|
|
||||||
"கிறுகி": "திரும்பி",
|
|
||||||
"போயித்து வாறன்": "போய் வருகிறேன்",
|
|
||||||
"வருவாங்களா": "வருவார்களா",
|
|
||||||
# regular spokens
|
|
||||||
"சொல்லு": "சொல்",
|
|
||||||
"கேளு": "கேள்",
|
|
||||||
"சொல்லுங்க": "சொல்லுங்கள்",
|
|
||||||
"கேளுங்க": "கேளுங்கள்",
|
|
||||||
"நீங்கள்": "நீ",
|
|
||||||
"உன்": "உன்னுடைய",
|
|
||||||
# Portugeese formal words
|
|
||||||
"அலவாங்கு": "கடப்பாரை",
|
|
||||||
"ஆசுப்பத்திரி": "மருத்துவமனை",
|
|
||||||
"உரோதை": "சில்லு",
|
|
||||||
"கடுதாசி": "கடிதம்",
|
|
||||||
"கதிரை": "நாற்காலி",
|
|
||||||
"குசினி": "அடுக்களை",
|
|
||||||
"கோப்பை": "கிண்ணம்",
|
|
||||||
"சப்பாத்து": "காலணி",
|
|
||||||
"தாச்சி": "இரும்புச் சட்டி",
|
|
||||||
"துவாய்": "துவாலை",
|
|
||||||
"தவறணை": "மதுக்கடை",
|
|
||||||
"பீப்பா": "மரத்தாழி",
|
|
||||||
"யன்னல்": "சாளரம்",
|
|
||||||
"வாங்கு": "மரஇருக்கை",
|
|
||||||
# Dutch formal words
|
|
||||||
"இறாக்கை": "பற்சட்டம்",
|
|
||||||
"இலாட்சி": "இழுப்பறை",
|
|
||||||
"கந்தோர்": "பணிமனை",
|
|
||||||
"நொத்தாரிசு": "ஆவண எழுத்துபதிவாளர்",
|
|
||||||
# English formal words
|
|
||||||
"இஞ்சினியர்": "பொறியியலாளர்",
|
|
||||||
"சூப்பு": "ரசம்",
|
|
||||||
"செக்": "காசோலை",
|
|
||||||
"சேட்டு": "மேற்ச்சட்டை",
|
|
||||||
"மார்க்கட்டு": "சந்தை",
|
|
||||||
"விண்ணன்": "கெட்டிக்காரன்",
|
|
||||||
# Arabic formal words
|
|
||||||
"ஈமான்": "நம்பிக்கை",
|
|
||||||
"சுன்னத்து": "விருத்தசேதனம்",
|
|
||||||
"செய்த்தான்": "பிசாசு",
|
|
||||||
"மவுத்து": "இறப்பு",
|
|
||||||
"ஹலால்": "அங்கீகரிக்கப்பட்டது",
|
|
||||||
"கறாம்": "நிராகரிக்கப்பட்டது",
|
|
||||||
# Persian, Hindustanian and hindi formal words
|
|
||||||
"சுமார்": "கிட்டத்தட்ட",
|
|
||||||
"சிப்பாய்": "போர்வீரன்",
|
|
||||||
"சிபார்சு": "சிபாரிசு",
|
|
||||||
"ஜமீன்": "பணக்காரா்",
|
|
||||||
"அசல்": "மெய்யான",
|
|
||||||
"அந்தஸ்து": "கௌரவம்",
|
|
||||||
"ஆஜர்": "சமா்ப்பித்தல்",
|
|
||||||
"உசார்": "எச்சரிக்கை",
|
|
||||||
"அச்சா": "நல்ல",
|
|
||||||
# English words used in text conversations
|
|
||||||
"bcoz": "ஏனெனில்",
|
|
||||||
"bcuz": "ஏனெனில்",
|
|
||||||
"fav": "விருப்பமான",
|
|
||||||
"morning": "காலை வணக்கம்",
|
|
||||||
"gdeveng": "மாலை வணக்கம்",
|
|
||||||
"gdnyt": "இரவு வணக்கம்",
|
|
||||||
"gdnit": "இரவு வணக்கம்",
|
|
||||||
"plz": "தயவு செய்து",
|
|
||||||
"pls": "தயவு செய்து",
|
|
||||||
"thx": "நன்றி",
|
|
||||||
"thanx": "நன்றி",
|
|
||||||
}
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
|
|
@ -4,14 +4,12 @@ from __future__ import unicode_literals
|
||||||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||||||
from .tag_map import TAG_MAP
|
from .tag_map import TAG_MAP
|
||||||
from .stop_words import STOP_WORDS
|
from .stop_words import STOP_WORDS
|
||||||
from .norm_exceptions import NORM_EXCEPTIONS
|
|
||||||
from .lex_attrs import LEX_ATTRS
|
from .lex_attrs import LEX_ATTRS
|
||||||
|
|
||||||
from ..norm_exceptions import BASE_NORMS
|
from ...attrs import LANG
|
||||||
from ...attrs import LANG, NORM
|
|
||||||
from ...language import Language
|
from ...language import Language
|
||||||
from ...tokens import Doc
|
from ...tokens import Doc
|
||||||
from ...util import DummyTokenizer, add_lookups
|
from ...util import DummyTokenizer
|
||||||
|
|
||||||
|
|
||||||
class ThaiTokenizer(DummyTokenizer):
|
class ThaiTokenizer(DummyTokenizer):
|
||||||
|
|
@ -37,9 +35,6 @@ class ThaiDefaults(Language.Defaults):
|
||||||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||||||
lex_attr_getters.update(LEX_ATTRS)
|
lex_attr_getters.update(LEX_ATTRS)
|
||||||
lex_attr_getters[LANG] = lambda _text: "th"
|
lex_attr_getters[LANG] = lambda _text: "th"
|
||||||
lex_attr_getters[NORM] = add_lookups(
|
|
||||||
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
|
|
||||||
)
|
|
||||||
tokenizer_exceptions = dict(TOKENIZER_EXCEPTIONS)
|
tokenizer_exceptions = dict(TOKENIZER_EXCEPTIONS)
|
||||||
tag_map = TAG_MAP
|
tag_map = TAG_MAP
|
||||||
stop_words = STOP_WORDS
|
stop_words = STOP_WORDS
|
||||||
|
|
|
||||||
|
|
@ -1,113 +0,0 @@
|
||||||
# coding: utf8
|
|
||||||
from __future__ import unicode_literals
|
|
||||||
|
|
||||||
|
|
||||||
_exc = {
|
|
||||||
# Conjugation and Diversion invalid to Tonal form (ผันอักษรและเสียงไม่ตรงกับรูปวรรณยุกต์)
|
|
||||||
"สนุ๊กเกอร์": "สนุกเกอร์",
|
|
||||||
"โน้ต": "โน้ต",
|
|
||||||
# Misspelled because of being lazy or hustle (สะกดผิดเพราะขี้เกียจพิมพ์ หรือเร่งรีบ)
|
|
||||||
"โทสับ": "โทรศัพท์",
|
|
||||||
"พุ่งนี้": "พรุ่งนี้",
|
|
||||||
# Strange (ให้ดูแปลกตา)
|
|
||||||
"ชะมะ": "ใช่ไหม",
|
|
||||||
"ชิมิ": "ใช่ไหม",
|
|
||||||
"ชะ": "ใช่ไหม",
|
|
||||||
"ช่ายมะ": "ใช่ไหม",
|
|
||||||
"ป่าว": "เปล่า",
|
|
||||||
"ป่ะ": "เปล่า",
|
|
||||||
"ปล่าว": "เปล่า",
|
|
||||||
"คัย": "ใคร",
|
|
||||||
"ไค": "ใคร",
|
|
||||||
"คราย": "ใคร",
|
|
||||||
"เตง": "ตัวเอง",
|
|
||||||
"ตะเอง": "ตัวเอง",
|
|
||||||
"รึ": "หรือ",
|
|
||||||
"เหรอ": "หรือ",
|
|
||||||
"หรา": "หรือ",
|
|
||||||
"หรอ": "หรือ",
|
|
||||||
"ชั้น": "ฉัน",
|
|
||||||
"ชั้ล": "ฉัน",
|
|
||||||
"ช้าน": "ฉัน",
|
|
||||||
"เทอ": "เธอ",
|
|
||||||
"เทอร์": "เธอ",
|
|
||||||
"เทอว์": "เธอ",
|
|
||||||
"แกร": "แก",
|
|
||||||
"ป๋ม": "ผม",
|
|
||||||
"บ่องตง": "บอกตรงๆ",
|
|
||||||
"ถ่ามตง": "ถามตรงๆ",
|
|
||||||
"ต่อมตง": "ตอบตรงๆ",
|
|
||||||
"เพิ่ล": "เพื่อน",
|
|
||||||
"จอบอ": "จอบอ",
|
|
||||||
"ดั้ย": "ได้",
|
|
||||||
"ขอบคุง": "ขอบคุณ",
|
|
||||||
"ยังงัย": "ยังไง",
|
|
||||||
"Inw": "เทพ",
|
|
||||||
"uou": "นอน",
|
|
||||||
"Lกรีeu": "เกรียน",
|
|
||||||
# Misspelled to express emotions (คำที่สะกดผิดเพื่อแสดงอารมณ์)
|
|
||||||
"เปงราย": "เป็นอะไร",
|
|
||||||
"เปนรัย": "เป็นอะไร",
|
|
||||||
"เปงรัย": "เป็นอะไร",
|
|
||||||
"เป็นอัลไล": "เป็นอะไร",
|
|
||||||
"ทามมาย": "ทำไม",
|
|
||||||
"ทามมัย": "ทำไม",
|
|
||||||
"จังรุย": "จังเลย",
|
|
||||||
"จังเยย": "จังเลย",
|
|
||||||
"จุงเบย": "จังเลย",
|
|
||||||
"ไม่รู้": "มะรุ",
|
|
||||||
"เฮ่ย": "เฮ้ย",
|
|
||||||
"เห้ย": "เฮ้ย",
|
|
||||||
"น่าร็อค": "น่ารัก",
|
|
||||||
"น่าร๊าก": "น่ารัก",
|
|
||||||
"ตั้ลล๊าก": "น่ารัก",
|
|
||||||
"คือร๊ะ": "คืออะไร",
|
|
||||||
"โอป่ะ": "โอเคหรือเปล่า",
|
|
||||||
"น่ามคาน": "น่ารำคาญ",
|
|
||||||
"น่ามสาร": "น่าสงสาร",
|
|
||||||
"วงวาร": "สงสาร",
|
|
||||||
"บับว่า": "แบบว่า",
|
|
||||||
"อัลไล": "อะไร",
|
|
||||||
"อิจ": "อิจฉา",
|
|
||||||
# Reduce rough words or Avoid to software filter (คำที่สะกดผิดเพื่อลดความหยาบของคำ หรืออาจใช้หลีกเลี่ยงการกรองคำหยาบของซอฟต์แวร์)
|
|
||||||
"กรู": "กู",
|
|
||||||
"กุ": "กู",
|
|
||||||
"กรุ": "กู",
|
|
||||||
"ตู": "กู",
|
|
||||||
"ตรู": "กู",
|
|
||||||
"มรึง": "มึง",
|
|
||||||
"เมิง": "มึง",
|
|
||||||
"มืง": "มึง",
|
|
||||||
"มุง": "มึง",
|
|
||||||
"สาด": "สัตว์",
|
|
||||||
"สัส": "สัตว์",
|
|
||||||
"สัก": "สัตว์",
|
|
||||||
"แสรด": "สัตว์",
|
|
||||||
"โคโตะ": "โคตร",
|
|
||||||
"โคด": "โคตร",
|
|
||||||
"โครต": "โคตร",
|
|
||||||
"โคตะระ": "โคตร",
|
|
||||||
"พ่อง": "พ่อมึง",
|
|
||||||
"แม่เมิง": "แม่มึง",
|
|
||||||
"เชี่ย": "เหี้ย",
|
|
||||||
# Imitate words (คำเลียนเสียง โดยส่วนใหญ่จะเพิ่มทัณฑฆาต หรือซ้ำตัวอักษร)
|
|
||||||
"แอร๊ยย": "อ๊าย",
|
|
||||||
"อร๊ายยย": "อ๊าย",
|
|
||||||
"มันส์": "มัน",
|
|
||||||
"วู๊วววววววว์": "วู้",
|
|
||||||
# Acronym (แบบคำย่อ)
|
|
||||||
"หมาลัย": "มหาวิทยาลัย",
|
|
||||||
"วิดวะ": "วิศวะ",
|
|
||||||
"สินสาด ": "ศิลปศาสตร์",
|
|
||||||
"สินกำ ": "ศิลปกรรมศาสตร์",
|
|
||||||
"เสารีย์ ": "อนุเสาวรีย์ชัยสมรภูมิ",
|
|
||||||
"เมกา ": "อเมริกา",
|
|
||||||
"มอไซค์ ": "มอเตอร์ไซค์",
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
NORM_EXCEPTIONS = {}
|
|
||||||
|
|
||||||
for string, norm in _exc.items():
|
|
||||||
NORM_EXCEPTIONS[string] = norm
|
|
||||||
NORM_EXCEPTIONS[string.title()] = norm
|
|
||||||
|
|
@ -28,10 +28,11 @@ from .compat import izip, basestring_, is_python2, class_types
|
||||||
from .gold import GoldParse
|
from .gold import GoldParse
|
||||||
from .scorer import Scorer
|
from .scorer import Scorer
|
||||||
from ._ml import link_vectors_to_models, create_default_optimizer
|
from ._ml import link_vectors_to_models, create_default_optimizer
|
||||||
from .attrs import IS_STOP, LANG
|
from .attrs import IS_STOP, LANG, NORM
|
||||||
from .lang.punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
|
from .lang.punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
|
||||||
from .lang.punctuation import TOKENIZER_INFIXES
|
from .lang.punctuation import TOKENIZER_INFIXES
|
||||||
from .lang.tokenizer_exceptions import TOKEN_MATCH
|
from .lang.tokenizer_exceptions import TOKEN_MATCH
|
||||||
|
from .lang.norm_exceptions import BASE_NORMS
|
||||||
from .lang.tag_map import TAG_MAP
|
from .lang.tag_map import TAG_MAP
|
||||||
from .tokens import Doc
|
from .tokens import Doc
|
||||||
from .lang.lex_attrs import LEX_ATTRS, is_stop
|
from .lang.lex_attrs import LEX_ATTRS, is_stop
|
||||||
|
|
@ -77,6 +78,9 @@ class BaseDefaults(object):
|
||||||
lemmatizer=lemmatizer,
|
lemmatizer=lemmatizer,
|
||||||
lookups=lookups,
|
lookups=lookups,
|
||||||
)
|
)
|
||||||
|
vocab.lex_attr_getters[NORM] = util.add_lookups(
|
||||||
|
vocab.lex_attr_getters.get(NORM, LEX_ATTRS[NORM]), BASE_NORMS, vocab.lookups.get_table("lexeme_norm")
|
||||||
|
)
|
||||||
for tag_str, exc in cls.morph_rules.items():
|
for tag_str, exc in cls.morph_rules.items():
|
||||||
for orth_str, attrs in exc.items():
|
for orth_str, attrs in exc.items():
|
||||||
vocab.morphology.add_special_case(tag_str, orth_str, attrs)
|
vocab.morphology.add_special_case(tag_str, orth_str, attrs)
|
||||||
|
|
|
||||||
|
|
@ -1,8 +1,8 @@
|
||||||
from .typedefs cimport attr_t, hash_t, flags_t, len_t, tag_t
|
from .typedefs cimport attr_t, hash_t, flags_t, len_t, tag_t
|
||||||
from .attrs cimport attr_id_t
|
from .attrs cimport attr_id_t
|
||||||
from .attrs cimport ID, ORTH, LOWER, NORM, SHAPE, PREFIX, SUFFIX, LENGTH, CLUSTER, LANG
|
from .attrs cimport ID, ORTH, LOWER, NORM, SHAPE, PREFIX, SUFFIX, LENGTH, LANG
|
||||||
|
|
||||||
from .structs cimport LexemeC, SerializedLexemeC
|
from .structs cimport LexemeC
|
||||||
from .strings cimport StringStore
|
from .strings cimport StringStore
|
||||||
from .vocab cimport Vocab
|
from .vocab cimport Vocab
|
||||||
|
|
||||||
|
|
@ -24,22 +24,6 @@ cdef class Lexeme:
|
||||||
self.vocab = vocab
|
self.vocab = vocab
|
||||||
self.orth = lex.orth
|
self.orth = lex.orth
|
||||||
|
|
||||||
@staticmethod
|
|
||||||
cdef inline SerializedLexemeC c_to_bytes(const LexemeC* lex) nogil:
|
|
||||||
cdef SerializedLexemeC lex_data
|
|
||||||
buff = <const unsigned char*>&lex.flags
|
|
||||||
end = <const unsigned char*>&lex.sentiment + sizeof(lex.sentiment)
|
|
||||||
for i in range(sizeof(lex_data.data)):
|
|
||||||
lex_data.data[i] = buff[i]
|
|
||||||
return lex_data
|
|
||||||
|
|
||||||
@staticmethod
|
|
||||||
cdef inline void c_from_bytes(LexemeC* lex, SerializedLexemeC lex_data) nogil:
|
|
||||||
buff = <unsigned char*>&lex.flags
|
|
||||||
end = <unsigned char*>&lex.sentiment + sizeof(lex.sentiment)
|
|
||||||
for i in range(sizeof(lex_data.data)):
|
|
||||||
buff[i] = lex_data.data[i]
|
|
||||||
|
|
||||||
@staticmethod
|
@staticmethod
|
||||||
cdef inline void set_struct_attr(LexemeC* lex, attr_id_t name, attr_t value) nogil:
|
cdef inline void set_struct_attr(LexemeC* lex, attr_id_t name, attr_t value) nogil:
|
||||||
if name < (sizeof(flags_t) * 8):
|
if name < (sizeof(flags_t) * 8):
|
||||||
|
|
@ -56,8 +40,6 @@ cdef class Lexeme:
|
||||||
lex.prefix = value
|
lex.prefix = value
|
||||||
elif name == SUFFIX:
|
elif name == SUFFIX:
|
||||||
lex.suffix = value
|
lex.suffix = value
|
||||||
elif name == CLUSTER:
|
|
||||||
lex.cluster = value
|
|
||||||
elif name == LANG:
|
elif name == LANG:
|
||||||
lex.lang = value
|
lex.lang = value
|
||||||
|
|
||||||
|
|
@ -84,8 +66,6 @@ cdef class Lexeme:
|
||||||
return lex.suffix
|
return lex.suffix
|
||||||
elif feat_name == LENGTH:
|
elif feat_name == LENGTH:
|
||||||
return lex.length
|
return lex.length
|
||||||
elif feat_name == CLUSTER:
|
|
||||||
return lex.cluster
|
|
||||||
elif feat_name == LANG:
|
elif feat_name == LANG:
|
||||||
return lex.lang
|
return lex.lang
|
||||||
else:
|
else:
|
||||||
|
|
|
||||||
|
|
@ -17,7 +17,7 @@ from .typedefs cimport attr_t, flags_t
|
||||||
from .attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
|
from .attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
|
||||||
from .attrs cimport IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL, IS_STOP
|
from .attrs cimport IS_TITLE, IS_UPPER, LIKE_URL, LIKE_NUM, LIKE_EMAIL, IS_STOP
|
||||||
from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
|
from .attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
|
||||||
from .attrs cimport IS_CURRENCY, IS_OOV, PROB
|
from .attrs cimport IS_CURRENCY
|
||||||
|
|
||||||
from .attrs import intify_attrs
|
from .attrs import intify_attrs
|
||||||
from .errors import Errors, Warnings
|
from .errors import Errors, Warnings
|
||||||
|
|
@ -89,11 +89,10 @@ cdef class Lexeme:
|
||||||
cdef attr_id_t attr
|
cdef attr_id_t attr
|
||||||
attrs = intify_attrs(attrs)
|
attrs = intify_attrs(attrs)
|
||||||
for attr, value in attrs.items():
|
for attr, value in attrs.items():
|
||||||
if attr == PROB:
|
# skip PROB, e.g. from lexemes.jsonl
|
||||||
self.c.prob = value
|
if isinstance(value, float):
|
||||||
elif attr == CLUSTER:
|
continue
|
||||||
self.c.cluster = int(value)
|
elif isinstance(value, (int, long)):
|
||||||
elif isinstance(value, int) or isinstance(value, long):
|
|
||||||
Lexeme.set_struct_attr(self.c, attr, value)
|
Lexeme.set_struct_attr(self.c, attr, value)
|
||||||
else:
|
else:
|
||||||
Lexeme.set_struct_attr(self.c, attr, self.vocab.strings.add(value))
|
Lexeme.set_struct_attr(self.c, attr, self.vocab.strings.add(value))
|
||||||
|
|
@ -137,34 +136,6 @@ cdef class Lexeme:
|
||||||
xp = get_array_module(vector)
|
xp = get_array_module(vector)
|
||||||
return (xp.dot(vector, other.vector) / (self.vector_norm * other.vector_norm))
|
return (xp.dot(vector, other.vector) / (self.vector_norm * other.vector_norm))
|
||||||
|
|
||||||
def to_bytes(self):
|
|
||||||
lex_data = Lexeme.c_to_bytes(self.c)
|
|
||||||
start = <const char*>&self.c.flags
|
|
||||||
end = <const char*>&self.c.sentiment + sizeof(self.c.sentiment)
|
|
||||||
if (end-start) != sizeof(lex_data.data):
|
|
||||||
raise ValueError(Errors.E072.format(length=end-start,
|
|
||||||
bad_length=sizeof(lex_data.data)))
|
|
||||||
byte_string = b"\0" * sizeof(lex_data.data)
|
|
||||||
byte_chars = <char*>byte_string
|
|
||||||
for i in range(sizeof(lex_data.data)):
|
|
||||||
byte_chars[i] = lex_data.data[i]
|
|
||||||
if len(byte_string) != sizeof(lex_data.data):
|
|
||||||
raise ValueError(Errors.E072.format(length=len(byte_string),
|
|
||||||
bad_length=sizeof(lex_data.data)))
|
|
||||||
return byte_string
|
|
||||||
|
|
||||||
def from_bytes(self, bytes byte_string):
|
|
||||||
# This method doesn't really have a use-case --- wrote it for testing.
|
|
||||||
# Possibly delete? It puts the Lexeme out of synch with the vocab.
|
|
||||||
cdef SerializedLexemeC lex_data
|
|
||||||
if len(byte_string) != sizeof(lex_data.data):
|
|
||||||
raise ValueError(Errors.E072.format(length=len(byte_string),
|
|
||||||
bad_length=sizeof(lex_data.data)))
|
|
||||||
for i in range(len(byte_string)):
|
|
||||||
lex_data.data[i] = byte_string[i]
|
|
||||||
Lexeme.c_from_bytes(self.c, lex_data)
|
|
||||||
self.orth = self.c.orth
|
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def has_vector(self):
|
def has_vector(self):
|
||||||
"""RETURNS (bool): Whether a word vector is associated with the object.
|
"""RETURNS (bool): Whether a word vector is associated with the object.
|
||||||
|
|
@ -208,10 +179,14 @@ cdef class Lexeme:
|
||||||
"""RETURNS (float): A scalar value indicating the positivity or
|
"""RETURNS (float): A scalar value indicating the positivity or
|
||||||
negativity of the lexeme."""
|
negativity of the lexeme."""
|
||||||
def __get__(self):
|
def __get__(self):
|
||||||
return self.c.sentiment
|
sentiment_table = self.vocab.lookups.get_table("lexeme_sentiment", {})
|
||||||
|
return sentiment_table.get(self.c.orth, 0.0)
|
||||||
|
|
||||||
def __set__(self, float sentiment):
|
def __set__(self, float x):
|
||||||
self.c.sentiment = sentiment
|
if "lexeme_sentiment" not in self.vocab.lookups:
|
||||||
|
self.vocab.lookups.add_table("lexeme_sentiment")
|
||||||
|
sentiment_table = self.vocab.lookups.get_table("lexeme_sentiment")
|
||||||
|
sentiment_table[self.c.orth] = x
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def orth_(self):
|
def orth_(self):
|
||||||
|
|
@ -241,6 +216,10 @@ cdef class Lexeme:
|
||||||
return self.c.norm
|
return self.c.norm
|
||||||
|
|
||||||
def __set__(self, attr_t x):
|
def __set__(self, attr_t x):
|
||||||
|
if "lexeme_norm" not in self.vocab.lookups:
|
||||||
|
self.vocab.lookups.add_table("lexeme_norm")
|
||||||
|
norm_table = self.vocab.lookups.get_table("lexeme_norm")
|
||||||
|
norm_table[self.c.orth] = self.vocab.strings[x]
|
||||||
self.c.norm = x
|
self.c.norm = x
|
||||||
|
|
||||||
property shape:
|
property shape:
|
||||||
|
|
@ -276,10 +255,12 @@ cdef class Lexeme:
|
||||||
property cluster:
|
property cluster:
|
||||||
"""RETURNS (int): Brown cluster ID."""
|
"""RETURNS (int): Brown cluster ID."""
|
||||||
def __get__(self):
|
def __get__(self):
|
||||||
return self.c.cluster
|
cluster_table = self.vocab.load_extra_lookups("lexeme_cluster")
|
||||||
|
return cluster_table.get(self.c.orth, 0)
|
||||||
|
|
||||||
def __set__(self, attr_t x):
|
def __set__(self, int x):
|
||||||
self.c.cluster = x
|
cluster_table = self.vocab.load_extra_lookups("lexeme_cluster")
|
||||||
|
cluster_table[self.c.orth] = x
|
||||||
|
|
||||||
property lang:
|
property lang:
|
||||||
"""RETURNS (uint64): Language of the parent vocabulary."""
|
"""RETURNS (uint64): Language of the parent vocabulary."""
|
||||||
|
|
@ -293,10 +274,14 @@ cdef class Lexeme:
|
||||||
"""RETURNS (float): Smoothed log probability estimate of the lexeme's
|
"""RETURNS (float): Smoothed log probability estimate of the lexeme's
|
||||||
type."""
|
type."""
|
||||||
def __get__(self):
|
def __get__(self):
|
||||||
return self.c.prob
|
prob_table = self.vocab.load_extra_lookups("lexeme_prob")
|
||||||
|
settings_table = self.vocab.load_extra_lookups("lexeme_settings")
|
||||||
|
default_oov_prob = settings_table.get("oov_prob", -20.0)
|
||||||
|
return prob_table.get(self.c.orth, default_oov_prob)
|
||||||
|
|
||||||
def __set__(self, float x):
|
def __set__(self, float x):
|
||||||
self.c.prob = x
|
prob_table = self.vocab.load_extra_lookups("lexeme_prob")
|
||||||
|
prob_table[self.c.orth] = x
|
||||||
|
|
||||||
property lower_:
|
property lower_:
|
||||||
"""RETURNS (unicode): Lowercase form of the word."""
|
"""RETURNS (unicode): Lowercase form of the word."""
|
||||||
|
|
@ -314,7 +299,7 @@ cdef class Lexeme:
|
||||||
return self.vocab.strings[self.c.norm]
|
return self.vocab.strings[self.c.norm]
|
||||||
|
|
||||||
def __set__(self, unicode x):
|
def __set__(self, unicode x):
|
||||||
self.c.norm = self.vocab.strings.add(x)
|
self.norm = self.vocab.strings.add(x)
|
||||||
|
|
||||||
property shape_:
|
property shape_:
|
||||||
"""RETURNS (unicode): Transform of the word's string, to show
|
"""RETURNS (unicode): Transform of the word's string, to show
|
||||||
|
|
@ -362,13 +347,10 @@ cdef class Lexeme:
|
||||||
def __set__(self, flags_t x):
|
def __set__(self, flags_t x):
|
||||||
self.c.flags = x
|
self.c.flags = x
|
||||||
|
|
||||||
property is_oov:
|
@property
|
||||||
|
def is_oov(self):
|
||||||
"""RETURNS (bool): Whether the lexeme is out-of-vocabulary."""
|
"""RETURNS (bool): Whether the lexeme is out-of-vocabulary."""
|
||||||
def __get__(self):
|
return self.orth in self.vocab.vectors
|
||||||
return Lexeme.c_check_flag(self.c, IS_OOV)
|
|
||||||
|
|
||||||
def __set__(self, attr_t x):
|
|
||||||
Lexeme.c_set_flag(self.c, IS_OOV, x)
|
|
||||||
|
|
||||||
property is_stop:
|
property is_stop:
|
||||||
"""RETURNS (bool): Whether the lexeme is a stop word."""
|
"""RETURNS (bool): Whether the lexeme is a stop word."""
|
||||||
|
|
|
||||||
|
|
@ -124,7 +124,7 @@ class Lookups(object):
|
||||||
self._tables[key].update(value)
|
self._tables[key].update(value)
|
||||||
return self
|
return self
|
||||||
|
|
||||||
def to_disk(self, path, **kwargs):
|
def to_disk(self, path, filename="lookups.bin", **kwargs):
|
||||||
"""Save the lookups to a directory as lookups.bin. Expects a path to a
|
"""Save the lookups to a directory as lookups.bin. Expects a path to a
|
||||||
directory, which will be created if it doesn't exist.
|
directory, which will be created if it doesn't exist.
|
||||||
|
|
||||||
|
|
@ -136,11 +136,11 @@ class Lookups(object):
|
||||||
path = ensure_path(path)
|
path = ensure_path(path)
|
||||||
if not path.exists():
|
if not path.exists():
|
||||||
path.mkdir()
|
path.mkdir()
|
||||||
filepath = path / "lookups.bin"
|
filepath = path / filename
|
||||||
with filepath.open("wb") as file_:
|
with filepath.open("wb") as file_:
|
||||||
file_.write(self.to_bytes())
|
file_.write(self.to_bytes())
|
||||||
|
|
||||||
def from_disk(self, path, **kwargs):
|
def from_disk(self, path, filename="lookups.bin", **kwargs):
|
||||||
"""Load lookups from a directory containing a lookups.bin. Will skip
|
"""Load lookups from a directory containing a lookups.bin. Will skip
|
||||||
loading if the file doesn't exist.
|
loading if the file doesn't exist.
|
||||||
|
|
||||||
|
|
@ -150,7 +150,7 @@ class Lookups(object):
|
||||||
DOCS: https://spacy.io/api/lookups#from_disk
|
DOCS: https://spacy.io/api/lookups#from_disk
|
||||||
"""
|
"""
|
||||||
path = ensure_path(path)
|
path = ensure_path(path)
|
||||||
filepath = path / "lookups.bin"
|
filepath = path / filename
|
||||||
if filepath.exists():
|
if filepath.exists():
|
||||||
with filepath.open("rb") as file_:
|
with filepath.open("rb") as file_:
|
||||||
data = file_.read()
|
data = file_.read()
|
||||||
|
|
|
||||||
|
|
@ -23,29 +23,6 @@ cdef struct LexemeC:
|
||||||
attr_t prefix
|
attr_t prefix
|
||||||
attr_t suffix
|
attr_t suffix
|
||||||
|
|
||||||
attr_t cluster
|
|
||||||
|
|
||||||
float prob
|
|
||||||
float sentiment
|
|
||||||
|
|
||||||
|
|
||||||
cdef struct SerializedLexemeC:
|
|
||||||
unsigned char[8 + 8*10 + 4 + 4] data
|
|
||||||
# sizeof(flags_t) # flags
|
|
||||||
# + sizeof(attr_t) # lang
|
|
||||||
# + sizeof(attr_t) # id
|
|
||||||
# + sizeof(attr_t) # length
|
|
||||||
# + sizeof(attr_t) # orth
|
|
||||||
# + sizeof(attr_t) # lower
|
|
||||||
# + sizeof(attr_t) # norm
|
|
||||||
# + sizeof(attr_t) # shape
|
|
||||||
# + sizeof(attr_t) # prefix
|
|
||||||
# + sizeof(attr_t) # suffix
|
|
||||||
# + sizeof(attr_t) # cluster
|
|
||||||
# + sizeof(float) # prob
|
|
||||||
# + sizeof(float) # cluster
|
|
||||||
# + sizeof(float) # l2_norm
|
|
||||||
|
|
||||||
|
|
||||||
cdef struct SpanC:
|
cdef struct SpanC:
|
||||||
hash_t id
|
hash_t id
|
||||||
|
|
|
||||||
|
|
@ -12,7 +12,7 @@ cdef enum symbol_t:
|
||||||
LIKE_NUM
|
LIKE_NUM
|
||||||
LIKE_EMAIL
|
LIKE_EMAIL
|
||||||
IS_STOP
|
IS_STOP
|
||||||
IS_OOV
|
IS_OOV_DEPRECATED
|
||||||
IS_BRACKET
|
IS_BRACKET
|
||||||
IS_QUOTE
|
IS_QUOTE
|
||||||
IS_LEFT_PUNCT
|
IS_LEFT_PUNCT
|
||||||
|
|
|
||||||
|
|
@ -17,7 +17,7 @@ IDS = {
|
||||||
"LIKE_NUM": LIKE_NUM,
|
"LIKE_NUM": LIKE_NUM,
|
||||||
"LIKE_EMAIL": LIKE_EMAIL,
|
"LIKE_EMAIL": LIKE_EMAIL,
|
||||||
"IS_STOP": IS_STOP,
|
"IS_STOP": IS_STOP,
|
||||||
"IS_OOV": IS_OOV,
|
"IS_OOV_DEPRECATED": IS_OOV_DEPRECATED,
|
||||||
"IS_BRACKET": IS_BRACKET,
|
"IS_BRACKET": IS_BRACKET,
|
||||||
"IS_QUOTE": IS_QUOTE,
|
"IS_QUOTE": IS_QUOTE,
|
||||||
"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
|
"IS_LEFT_PUNCT": IS_LEFT_PUNCT,
|
||||||
|
|
|
||||||
|
|
@ -37,14 +37,6 @@ def test_da_tokenizer_handles_custom_base_exc(da_tokenizer):
|
||||||
assert tokens[7].text == "."
|
assert tokens[7].text == "."
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"text,norm", [("akvarium", "akvarie"), ("bedstemoder", "bedstemor")]
|
|
||||||
)
|
|
||||||
def test_da_tokenizer_norm_exceptions(da_tokenizer, text, norm):
|
|
||||||
tokens = da_tokenizer(text)
|
|
||||||
assert tokens[0].norm_ == norm
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
@pytest.mark.parametrize(
|
||||||
"text,n_tokens",
|
"text,n_tokens",
|
||||||
[
|
[
|
||||||
|
|
|
||||||
|
|
@ -22,17 +22,3 @@ def test_de_tokenizer_handles_exc_in_text(de_tokenizer):
|
||||||
assert len(tokens) == 6
|
assert len(tokens) == 6
|
||||||
assert tokens[2].text == "z.Zt."
|
assert tokens[2].text == "z.Zt."
|
||||||
assert tokens[2].lemma_ == "zur Zeit"
|
assert tokens[2].lemma_ == "zur Zeit"
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"text,norms", [("vor'm", ["vor", "dem"]), ("du's", ["du", "es"])]
|
|
||||||
)
|
|
||||||
def test_de_tokenizer_norm_exceptions(de_tokenizer, text, norms):
|
|
||||||
tokens = de_tokenizer(text)
|
|
||||||
assert [token.norm_ for token in tokens] == norms
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize("text,norm", [("daß", "dass")])
|
|
||||||
def test_de_lex_attrs_norm_exceptions(de_tokenizer, text, norm):
|
|
||||||
tokens = de_tokenizer(text)
|
|
||||||
assert tokens[0].norm_ == norm
|
|
||||||
|
|
|
||||||
|
|
@ -118,6 +118,7 @@ def test_en_tokenizer_norm_exceptions(en_tokenizer, text, norms):
|
||||||
assert [token.norm_ for token in tokens] == norms
|
assert [token.norm_ for token in tokens] == norms
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.skip
|
||||||
@pytest.mark.parametrize(
|
@pytest.mark.parametrize(
|
||||||
"text,norm", [("radicalised", "radicalized"), ("cuz", "because")]
|
"text,norm", [("radicalised", "radicalized"), ("cuz", "because")]
|
||||||
)
|
)
|
||||||
|
|
|
||||||
|
|
@ -22,9 +22,3 @@ def test_lb_tokenizer_handles_exc_in_text(lb_tokenizer):
|
||||||
assert len(tokens) == 9
|
assert len(tokens) == 9
|
||||||
assert tokens[1].text == "'t"
|
assert tokens[1].text == "'t"
|
||||||
assert tokens[1].lemma_ == "et"
|
assert tokens[1].lemma_ == "et"
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize("text,norm", [("dass", "datt"), ("viläicht", "vläicht")])
|
|
||||||
def test_lb_norm_exceptions(lb_tokenizer, text, norm):
|
|
||||||
tokens = lb_tokenizer(text)
|
|
||||||
assert tokens[0].norm_ == norm
|
|
||||||
|
|
|
||||||
|
|
@ -2,6 +2,7 @@
|
||||||
from __future__ import unicode_literals
|
from __future__ import unicode_literals
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
import pickle
|
||||||
from spacy.vocab import Vocab
|
from spacy.vocab import Vocab
|
||||||
from spacy.strings import StringStore
|
from spacy.strings import StringStore
|
||||||
|
|
||||||
|
|
@ -36,8 +37,8 @@ def test_serialize_vocab_roundtrip_bytes(strings1, strings2):
|
||||||
assert vocab1.to_bytes() == vocab1_b
|
assert vocab1.to_bytes() == vocab1_b
|
||||||
new_vocab1 = Vocab().from_bytes(vocab1_b)
|
new_vocab1 = Vocab().from_bytes(vocab1_b)
|
||||||
assert new_vocab1.to_bytes() == vocab1_b
|
assert new_vocab1.to_bytes() == vocab1_b
|
||||||
assert len(new_vocab1) == len(strings1)
|
assert len(new_vocab1.strings) == len(strings1) + 1 # adds _SP
|
||||||
assert sorted([lex.text for lex in new_vocab1]) == sorted(strings1)
|
assert sorted([s for s in new_vocab1.strings]) == sorted(strings1 + ["_SP"])
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize("strings1,strings2", test_strings)
|
@pytest.mark.parametrize("strings1,strings2", test_strings)
|
||||||
|
|
@ -51,12 +52,13 @@ def test_serialize_vocab_roundtrip_disk(strings1, strings2):
|
||||||
vocab2.to_disk(file_path2)
|
vocab2.to_disk(file_path2)
|
||||||
vocab1_d = Vocab().from_disk(file_path1)
|
vocab1_d = Vocab().from_disk(file_path1)
|
||||||
vocab2_d = Vocab().from_disk(file_path2)
|
vocab2_d = Vocab().from_disk(file_path2)
|
||||||
assert list(vocab1_d) == list(vocab1)
|
# check strings rather than lexemes, which are only reloaded on demand
|
||||||
assert list(vocab2_d) == list(vocab2)
|
assert strings1 == [s for s in vocab1_d.strings if s != "_SP"]
|
||||||
|
assert strings2 == [s for s in vocab2_d.strings if s != "_SP"]
|
||||||
if strings1 == strings2:
|
if strings1 == strings2:
|
||||||
assert list(vocab1_d) == list(vocab2_d)
|
assert [s for s in vocab1_d.strings if s != "_SP"] == [s for s in vocab2_d.strings if s != "_SP"]
|
||||||
else:
|
else:
|
||||||
assert list(vocab1_d) != list(vocab2_d)
|
assert [s for s in vocab1_d.strings if s != "_SP"] != [s for s in vocab2_d.strings if s != "_SP"]
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
|
@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
|
||||||
|
|
@ -76,7 +78,7 @@ def test_deserialize_vocab_seen_entries(strings, lex_attr):
|
||||||
vocab = Vocab(strings=strings)
|
vocab = Vocab(strings=strings)
|
||||||
length = len(vocab)
|
length = len(vocab)
|
||||||
vocab.from_bytes(vocab.to_bytes())
|
vocab.from_bytes(vocab.to_bytes())
|
||||||
assert len(vocab) == length
|
assert len(vocab.strings) == len(strings) + 1 # adds _SP
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
|
@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
|
||||||
|
|
@ -127,3 +129,11 @@ def test_serialize_stringstore_roundtrip_disk(strings1, strings2):
|
||||||
assert list(sstore1_d) == list(sstore2_d)
|
assert list(sstore1_d) == list(sstore2_d)
|
||||||
else:
|
else:
|
||||||
assert list(sstore1_d) != list(sstore2_d)
|
assert list(sstore1_d) != list(sstore2_d)
|
||||||
|
|
||||||
|
@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
|
||||||
|
def test_pickle_vocab(strings, lex_attr):
|
||||||
|
vocab = Vocab(strings=strings)
|
||||||
|
vocab[strings[0]].norm_ = lex_attr
|
||||||
|
vocab_pickled = pickle.dumps(vocab)
|
||||||
|
vocab_unpickled = pickle.loads(vocab_pickled)
|
||||||
|
assert vocab.to_bytes() == vocab_unpickled.to_bytes()
|
||||||
|
|
|
||||||
|
|
@ -26,7 +26,7 @@ def test_lemmatizer_reflects_lookups_changes():
|
||||||
nlp_bytes = nlp.to_bytes()
|
nlp_bytes = nlp.to_bytes()
|
||||||
new_nlp.from_bytes(nlp_bytes)
|
new_nlp.from_bytes(nlp_bytes)
|
||||||
# Make sure we have the previously saved lookup table
|
# Make sure we have the previously saved lookup table
|
||||||
assert len(new_nlp.vocab.lookups) == 1
|
assert "lemma_lookup" in new_nlp.vocab.lookups
|
||||||
assert len(new_nlp.vocab.lookups.get_table("lemma_lookup")) == 2
|
assert len(new_nlp.vocab.lookups.get_table("lemma_lookup")) == 2
|
||||||
assert new_nlp.vocab.lookups.get_table("lemma_lookup")["hello"] == "world"
|
assert new_nlp.vocab.lookups.get_table("lemma_lookup")["hello"] == "world"
|
||||||
assert Doc(new_nlp.vocab, words=["foo"])[0].lemma_ == "bar"
|
assert Doc(new_nlp.vocab, words=["foo"])[0].lemma_ == "bar"
|
||||||
|
|
|
||||||
|
|
@ -60,19 +60,6 @@ def test_vocab_lexeme_add_flag_provided_id(en_vocab):
|
||||||
assert en_vocab["dogs"].check_flag(is_len4) is True
|
assert en_vocab["dogs"].check_flag(is_len4) is True
|
||||||
|
|
||||||
|
|
||||||
def test_lexeme_bytes_roundtrip(en_vocab):
|
|
||||||
one = en_vocab["one"]
|
|
||||||
alpha = en_vocab["alpha"]
|
|
||||||
assert one.orth != alpha.orth
|
|
||||||
assert one.lower != alpha.lower
|
|
||||||
alpha.from_bytes(one.to_bytes())
|
|
||||||
|
|
||||||
assert one.orth_ == alpha.orth_
|
|
||||||
assert one.orth == alpha.orth
|
|
||||||
assert one.lower == alpha.lower
|
|
||||||
assert one.lower_ == alpha.lower_
|
|
||||||
|
|
||||||
|
|
||||||
def test_vocab_lexeme_oov_rank(en_vocab):
|
def test_vocab_lexeme_oov_rank(en_vocab):
|
||||||
"""Test that default rank is OOV_RANK."""
|
"""Test that default rank is OOV_RANK."""
|
||||||
lex = en_vocab["word"]
|
lex = en_vocab["word"]
|
||||||
|
|
|
||||||
|
|
@ -119,12 +119,11 @@ def test_lookups_to_from_bytes_via_vocab():
|
||||||
table_name = "test"
|
table_name = "test"
|
||||||
vocab = Vocab()
|
vocab = Vocab()
|
||||||
vocab.lookups.add_table(table_name, {"foo": "bar", "hello": "world"})
|
vocab.lookups.add_table(table_name, {"foo": "bar", "hello": "world"})
|
||||||
assert len(vocab.lookups) == 1
|
|
||||||
assert table_name in vocab.lookups
|
assert table_name in vocab.lookups
|
||||||
vocab_bytes = vocab.to_bytes()
|
vocab_bytes = vocab.to_bytes()
|
||||||
new_vocab = Vocab()
|
new_vocab = Vocab()
|
||||||
new_vocab.from_bytes(vocab_bytes)
|
new_vocab.from_bytes(vocab_bytes)
|
||||||
assert len(new_vocab.lookups) == 1
|
assert len(new_vocab.lookups) == len(vocab.lookups)
|
||||||
assert table_name in new_vocab.lookups
|
assert table_name in new_vocab.lookups
|
||||||
table = new_vocab.lookups.get_table(table_name)
|
table = new_vocab.lookups.get_table(table_name)
|
||||||
assert len(table) == 2
|
assert len(table) == 2
|
||||||
|
|
@ -137,13 +136,12 @@ def test_lookups_to_from_disk_via_vocab():
|
||||||
table_name = "test"
|
table_name = "test"
|
||||||
vocab = Vocab()
|
vocab = Vocab()
|
||||||
vocab.lookups.add_table(table_name, {"foo": "bar", "hello": "world"})
|
vocab.lookups.add_table(table_name, {"foo": "bar", "hello": "world"})
|
||||||
assert len(vocab.lookups) == 1
|
|
||||||
assert table_name in vocab.lookups
|
assert table_name in vocab.lookups
|
||||||
with make_tempdir() as tmpdir:
|
with make_tempdir() as tmpdir:
|
||||||
vocab.to_disk(tmpdir)
|
vocab.to_disk(tmpdir)
|
||||||
new_vocab = Vocab()
|
new_vocab = Vocab()
|
||||||
new_vocab.from_disk(tmpdir)
|
new_vocab.from_disk(tmpdir)
|
||||||
assert len(new_vocab.lookups) == 1
|
assert len(new_vocab.lookups) == len(vocab.lookups)
|
||||||
assert table_name in new_vocab.lookups
|
assert table_name in new_vocab.lookups
|
||||||
table = new_vocab.lookups.get_table(table_name)
|
table = new_vocab.lookups.get_table(table_name)
|
||||||
assert len(table) == 2
|
assert len(table) == 2
|
||||||
|
|
|
||||||
|
|
@ -329,3 +329,15 @@ def test_vocab_prune_vectors():
|
||||||
neighbour, similarity = list(remap.values())[0]
|
neighbour, similarity = list(remap.values())[0]
|
||||||
assert neighbour == "cat", remap
|
assert neighbour == "cat", remap
|
||||||
assert_allclose(similarity, cosine(data[0], data[2]), atol=1e-4, rtol=1e-3)
|
assert_allclose(similarity, cosine(data[0], data[2]), atol=1e-4, rtol=1e-3)
|
||||||
|
|
||||||
|
|
||||||
|
def test_vector_is_oov():
|
||||||
|
vocab = Vocab(vectors_name="test_vocab_is_oov")
|
||||||
|
data = numpy.ndarray((5, 3), dtype="f")
|
||||||
|
data[0] = 1.0
|
||||||
|
data[1] = 2.0
|
||||||
|
vocab.set_vector("cat", data[0])
|
||||||
|
vocab.set_vector("dog", data[1])
|
||||||
|
assert vocab["cat"].is_oov is True
|
||||||
|
assert vocab["dog"].is_oov is True
|
||||||
|
assert vocab["hamster"].is_oov is False
|
||||||
|
|
|
||||||
|
|
@ -17,7 +17,7 @@ from ..typedefs cimport hash_t
|
||||||
from ..lexeme cimport Lexeme
|
from ..lexeme cimport Lexeme
|
||||||
from ..attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
|
from ..attrs cimport IS_ALPHA, IS_ASCII, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_SPACE
|
||||||
from ..attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
|
from ..attrs cimport IS_BRACKET, IS_QUOTE, IS_LEFT_PUNCT, IS_RIGHT_PUNCT
|
||||||
from ..attrs cimport IS_OOV, IS_TITLE, IS_UPPER, IS_CURRENCY, LIKE_URL, LIKE_NUM, LIKE_EMAIL
|
from ..attrs cimport IS_TITLE, IS_UPPER, IS_CURRENCY, LIKE_URL, LIKE_NUM, LIKE_EMAIL
|
||||||
from ..attrs cimport IS_STOP, ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX
|
from ..attrs cimport IS_STOP, ID, ORTH, NORM, LOWER, SHAPE, PREFIX, SUFFIX
|
||||||
from ..attrs cimport LENGTH, CLUSTER, LEMMA, POS, TAG, DEP
|
from ..attrs cimport LENGTH, CLUSTER, LEMMA, POS, TAG, DEP
|
||||||
from ..symbols cimport conj
|
from ..symbols cimport conj
|
||||||
|
|
@ -259,7 +259,7 @@ cdef class Token:
|
||||||
@property
|
@property
|
||||||
def prob(self):
|
def prob(self):
|
||||||
"""RETURNS (float): Smoothed log probability estimate of token type."""
|
"""RETURNS (float): Smoothed log probability estimate of token type."""
|
||||||
return self.c.lex.prob
|
return self.vocab[self.c.lex.orth].prob
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def sentiment(self):
|
def sentiment(self):
|
||||||
|
|
@ -267,7 +267,7 @@ cdef class Token:
|
||||||
negativity of the token."""
|
negativity of the token."""
|
||||||
if "sentiment" in self.doc.user_token_hooks:
|
if "sentiment" in self.doc.user_token_hooks:
|
||||||
return self.doc.user_token_hooks["sentiment"](self)
|
return self.doc.user_token_hooks["sentiment"](self)
|
||||||
return self.c.lex.sentiment
|
return self.vocab[self.c.lex.orth].sentiment
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def lang(self):
|
def lang(self):
|
||||||
|
|
@ -286,7 +286,7 @@ cdef class Token:
|
||||||
@property
|
@property
|
||||||
def cluster(self):
|
def cluster(self):
|
||||||
"""RETURNS (int): Brown cluster ID."""
|
"""RETURNS (int): Brown cluster ID."""
|
||||||
return self.c.lex.cluster
|
return self.vocab[self.c.lex.orth].cluster
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def orth(self):
|
def orth(self):
|
||||||
|
|
@ -923,7 +923,7 @@ cdef class Token:
|
||||||
@property
|
@property
|
||||||
def is_oov(self):
|
def is_oov(self):
|
||||||
"""RETURNS (bool): Whether the token is out-of-vocabulary."""
|
"""RETURNS (bool): Whether the token is out-of-vocabulary."""
|
||||||
return Lexeme.c_check_flag(self.c.lex, IS_OOV)
|
return self.c.lex.orth in self.vocab.vectors
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def is_stop(self):
|
def is_stop(self):
|
||||||
|
|
|
||||||
|
|
@ -30,6 +30,7 @@ cdef class Vocab:
|
||||||
cpdef public Morphology morphology
|
cpdef public Morphology morphology
|
||||||
cpdef public object vectors
|
cpdef public object vectors
|
||||||
cpdef public object lookups
|
cpdef public object lookups
|
||||||
|
cpdef public object lookups_extra
|
||||||
cdef readonly int length
|
cdef readonly int length
|
||||||
cdef public object data_dir
|
cdef public object data_dir
|
||||||
cdef public object lex_attr_getters
|
cdef public object lex_attr_getters
|
||||||
|
|
|
||||||
134
spacy/vocab.pyx
134
spacy/vocab.pyx
|
|
@ -11,8 +11,7 @@ from .lexeme cimport EMPTY_LEXEME, OOV_RANK
|
||||||
from .lexeme cimport Lexeme
|
from .lexeme cimport Lexeme
|
||||||
from .typedefs cimport attr_t
|
from .typedefs cimport attr_t
|
||||||
from .tokens.token cimport Token
|
from .tokens.token cimport Token
|
||||||
from .attrs cimport PROB, LANG, ORTH, TAG, POS
|
from .attrs cimport LANG, ORTH, TAG, POS
|
||||||
from .structs cimport SerializedLexemeC
|
|
||||||
|
|
||||||
from .compat import copy_reg, basestring_
|
from .compat import copy_reg, basestring_
|
||||||
from .errors import Errors
|
from .errors import Errors
|
||||||
|
|
@ -22,6 +21,8 @@ from .vectors import Vectors
|
||||||
from ._ml import link_vectors_to_models
|
from ._ml import link_vectors_to_models
|
||||||
from .lookups import Lookups
|
from .lookups import Lookups
|
||||||
from . import util
|
from . import util
|
||||||
|
from .lang.norm_exceptions import BASE_NORMS
|
||||||
|
from .lang.lex_attrs import LEX_ATTRS
|
||||||
|
|
||||||
|
|
||||||
cdef class Vocab:
|
cdef class Vocab:
|
||||||
|
|
@ -32,8 +33,8 @@ cdef class Vocab:
|
||||||
DOCS: https://spacy.io/api/vocab
|
DOCS: https://spacy.io/api/vocab
|
||||||
"""
|
"""
|
||||||
def __init__(self, lex_attr_getters=None, tag_map=None, lemmatizer=None,
|
def __init__(self, lex_attr_getters=None, tag_map=None, lemmatizer=None,
|
||||||
strings=tuple(), lookups=None, oov_prob=-20., vectors_name=None,
|
strings=tuple(), lookups=None, lookups_extra=None,
|
||||||
**deprecated_kwargs):
|
oov_prob=-20., vectors_name=None, **deprecated_kwargs):
|
||||||
"""Create the vocabulary.
|
"""Create the vocabulary.
|
||||||
|
|
||||||
lex_attr_getters (dict): A dictionary mapping attribute IDs to
|
lex_attr_getters (dict): A dictionary mapping attribute IDs to
|
||||||
|
|
@ -44,6 +45,7 @@ cdef class Vocab:
|
||||||
strings (StringStore): StringStore that maps strings to integers, and
|
strings (StringStore): StringStore that maps strings to integers, and
|
||||||
vice versa.
|
vice versa.
|
||||||
lookups (Lookups): Container for large lookup tables and dictionaries.
|
lookups (Lookups): Container for large lookup tables and dictionaries.
|
||||||
|
lookups_extra (Lookups): Container for optional lookup tables and dictionaries.
|
||||||
name (unicode): Optional name to identify the vectors table.
|
name (unicode): Optional name to identify the vectors table.
|
||||||
RETURNS (Vocab): The newly constructed object.
|
RETURNS (Vocab): The newly constructed object.
|
||||||
"""
|
"""
|
||||||
|
|
@ -51,8 +53,12 @@ cdef class Vocab:
|
||||||
tag_map = tag_map if tag_map is not None else {}
|
tag_map = tag_map if tag_map is not None else {}
|
||||||
if lookups in (None, True, False):
|
if lookups in (None, True, False):
|
||||||
lookups = Lookups()
|
lookups = Lookups()
|
||||||
|
if "lexeme_norm" not in lookups:
|
||||||
|
lookups.add_table("lexeme_norm")
|
||||||
if lemmatizer in (None, True, False):
|
if lemmatizer in (None, True, False):
|
||||||
lemmatizer = Lemmatizer(lookups)
|
lemmatizer = Lemmatizer(lookups)
|
||||||
|
if lookups_extra in (None, True, False):
|
||||||
|
lookups_extra = Lookups()
|
||||||
self.cfg = {'oov_prob': oov_prob}
|
self.cfg = {'oov_prob': oov_prob}
|
||||||
self.mem = Pool()
|
self.mem = Pool()
|
||||||
self._by_orth = PreshMap()
|
self._by_orth = PreshMap()
|
||||||
|
|
@ -65,6 +71,7 @@ cdef class Vocab:
|
||||||
self.morphology = Morphology(self.strings, tag_map, lemmatizer)
|
self.morphology = Morphology(self.strings, tag_map, lemmatizer)
|
||||||
self.vectors = Vectors(name=vectors_name)
|
self.vectors = Vectors(name=vectors_name)
|
||||||
self.lookups = lookups
|
self.lookups = lookups
|
||||||
|
self.lookups_extra = lookups_extra
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def lang(self):
|
def lang(self):
|
||||||
|
|
@ -173,9 +180,7 @@ cdef class Vocab:
|
||||||
value = func(string)
|
value = func(string)
|
||||||
if isinstance(value, unicode):
|
if isinstance(value, unicode):
|
||||||
value = self.strings.add(value)
|
value = self.strings.add(value)
|
||||||
if attr == PROB:
|
if value is not None:
|
||||||
lex.prob = value
|
|
||||||
elif value is not None:
|
|
||||||
Lexeme.set_struct_attr(lex, attr, value)
|
Lexeme.set_struct_attr(lex, attr, value)
|
||||||
if not is_oov:
|
if not is_oov:
|
||||||
self._add_lex_to_vocab(lex.orth, lex)
|
self._add_lex_to_vocab(lex.orth, lex)
|
||||||
|
|
@ -435,17 +440,16 @@ cdef class Vocab:
|
||||||
path = util.ensure_path(path)
|
path = util.ensure_path(path)
|
||||||
if not path.exists():
|
if not path.exists():
|
||||||
path.mkdir()
|
path.mkdir()
|
||||||
setters = ["strings", "lexemes", "vectors"]
|
setters = ["strings", "vectors"]
|
||||||
exclude = util.get_serialization_exclude(setters, exclude, kwargs)
|
exclude = util.get_serialization_exclude(setters, exclude, kwargs)
|
||||||
if "strings" not in exclude:
|
if "strings" not in exclude:
|
||||||
self.strings.to_disk(path / "strings.json")
|
self.strings.to_disk(path / "strings.json")
|
||||||
if "lexemes" not in exclude:
|
|
||||||
with (path / "lexemes.bin").open("wb") as file_:
|
|
||||||
file_.write(self.lexemes_to_bytes())
|
|
||||||
if "vectors" not in "exclude" and self.vectors is not None:
|
if "vectors" not in "exclude" and self.vectors is not None:
|
||||||
self.vectors.to_disk(path)
|
self.vectors.to_disk(path)
|
||||||
if "lookups" not in "exclude" and self.lookups is not None:
|
if "lookups" not in "exclude" and self.lookups is not None:
|
||||||
self.lookups.to_disk(path)
|
self.lookups.to_disk(path)
|
||||||
|
if "lookups_extra" not in "exclude" and self.lookups_extra is not None:
|
||||||
|
self.lookups_extra.to_disk(path, filename="lookups_extra.bin")
|
||||||
|
|
||||||
def from_disk(self, path, exclude=tuple(), **kwargs):
|
def from_disk(self, path, exclude=tuple(), **kwargs):
|
||||||
"""Loads state from a directory. Modifies the object in place and
|
"""Loads state from a directory. Modifies the object in place and
|
||||||
|
|
@ -458,13 +462,10 @@ cdef class Vocab:
|
||||||
DOCS: https://spacy.io/api/vocab#to_disk
|
DOCS: https://spacy.io/api/vocab#to_disk
|
||||||
"""
|
"""
|
||||||
path = util.ensure_path(path)
|
path = util.ensure_path(path)
|
||||||
getters = ["strings", "lexemes", "vectors"]
|
getters = ["strings", "vectors"]
|
||||||
exclude = util.get_serialization_exclude(getters, exclude, kwargs)
|
exclude = util.get_serialization_exclude(getters, exclude, kwargs)
|
||||||
if "strings" not in exclude:
|
if "strings" not in exclude:
|
||||||
self.strings.from_disk(path / "strings.json") # TODO: add exclude?
|
self.strings.from_disk(path / "strings.json") # TODO: add exclude?
|
||||||
if "lexemes" not in exclude:
|
|
||||||
with (path / "lexemes.bin").open("rb") as file_:
|
|
||||||
self.lexemes_from_bytes(file_.read())
|
|
||||||
if "vectors" not in exclude:
|
if "vectors" not in exclude:
|
||||||
if self.vectors is not None:
|
if self.vectors is not None:
|
||||||
self.vectors.from_disk(path, exclude=["strings"])
|
self.vectors.from_disk(path, exclude=["strings"])
|
||||||
|
|
@ -472,6 +473,14 @@ cdef class Vocab:
|
||||||
link_vectors_to_models(self)
|
link_vectors_to_models(self)
|
||||||
if "lookups" not in exclude:
|
if "lookups" not in exclude:
|
||||||
self.lookups.from_disk(path)
|
self.lookups.from_disk(path)
|
||||||
|
if "lookups_extra" not in exclude:
|
||||||
|
self.lookups_extra.from_disk(path, filename="lookups_extra.bin")
|
||||||
|
if "lexeme_norm" in self.lookups:
|
||||||
|
self.lex_attr_getters[NORM] = util.add_lookups(
|
||||||
|
self.lex_attr_getters.get(NORM, LEX_ATTRS[NORM]), self.lookups.get_table("lexeme_norm")
|
||||||
|
)
|
||||||
|
self.length = 0
|
||||||
|
self._by_orth = PreshMap()
|
||||||
return self
|
return self
|
||||||
|
|
||||||
def to_bytes(self, exclude=tuple(), **kwargs):
|
def to_bytes(self, exclude=tuple(), **kwargs):
|
||||||
|
|
@ -490,9 +499,9 @@ cdef class Vocab:
|
||||||
|
|
||||||
getters = OrderedDict((
|
getters = OrderedDict((
|
||||||
("strings", lambda: self.strings.to_bytes()),
|
("strings", lambda: self.strings.to_bytes()),
|
||||||
("lexemes", lambda: self.lexemes_to_bytes()),
|
|
||||||
("vectors", deserialize_vectors),
|
("vectors", deserialize_vectors),
|
||||||
("lookups", lambda: self.lookups.to_bytes())
|
("lookups", lambda: self.lookups.to_bytes()),
|
||||||
|
("lookups_extra", lambda: self.lookups_extra.to_bytes())
|
||||||
))
|
))
|
||||||
exclude = util.get_serialization_exclude(getters, exclude, kwargs)
|
exclude = util.get_serialization_exclude(getters, exclude, kwargs)
|
||||||
return util.to_bytes(getters, exclude)
|
return util.to_bytes(getters, exclude)
|
||||||
|
|
@ -514,99 +523,62 @@ cdef class Vocab:
|
||||||
|
|
||||||
setters = OrderedDict((
|
setters = OrderedDict((
|
||||||
("strings", lambda b: self.strings.from_bytes(b)),
|
("strings", lambda b: self.strings.from_bytes(b)),
|
||||||
("lexemes", lambda b: self.lexemes_from_bytes(b)),
|
|
||||||
("vectors", lambda b: serialize_vectors(b)),
|
("vectors", lambda b: serialize_vectors(b)),
|
||||||
("lookups", lambda b: self.lookups.from_bytes(b))
|
("lookups", lambda b: self.lookups.from_bytes(b)),
|
||||||
|
("lookups_extra", lambda b: self.lookups_extra.from_bytes(b))
|
||||||
))
|
))
|
||||||
exclude = util.get_serialization_exclude(setters, exclude, kwargs)
|
exclude = util.get_serialization_exclude(setters, exclude, kwargs)
|
||||||
util.from_bytes(bytes_data, setters, exclude)
|
util.from_bytes(bytes_data, setters, exclude)
|
||||||
|
if "lexeme_norm" in self.lookups:
|
||||||
|
self.lex_attr_getters[NORM] = util.add_lookups(
|
||||||
|
self.lex_attr_getters.get(NORM, LEX_ATTRS[NORM]), self.lookups.get_table("lexeme_norm")
|
||||||
|
)
|
||||||
|
self.length = 0
|
||||||
|
self._by_orth = PreshMap()
|
||||||
if self.vectors.name is not None:
|
if self.vectors.name is not None:
|
||||||
link_vectors_to_models(self)
|
link_vectors_to_models(self)
|
||||||
return self
|
return self
|
||||||
|
|
||||||
def lexemes_to_bytes(self):
|
|
||||||
cdef hash_t key
|
|
||||||
cdef size_t addr
|
|
||||||
cdef LexemeC* lexeme = NULL
|
|
||||||
cdef SerializedLexemeC lex_data
|
|
||||||
cdef int size = 0
|
|
||||||
for key, addr in self._by_orth.items():
|
|
||||||
if addr == 0:
|
|
||||||
continue
|
|
||||||
size += sizeof(lex_data.data)
|
|
||||||
byte_string = b"\0" * size
|
|
||||||
byte_ptr = <unsigned char*>byte_string
|
|
||||||
cdef int j
|
|
||||||
cdef int i = 0
|
|
||||||
for key, addr in self._by_orth.items():
|
|
||||||
if addr == 0:
|
|
||||||
continue
|
|
||||||
lexeme = <LexemeC*>addr
|
|
||||||
lex_data = Lexeme.c_to_bytes(lexeme)
|
|
||||||
for j in range(sizeof(lex_data.data)):
|
|
||||||
byte_ptr[i] = lex_data.data[j]
|
|
||||||
i += 1
|
|
||||||
return byte_string
|
|
||||||
|
|
||||||
def lexemes_from_bytes(self, bytes bytes_data):
|
|
||||||
"""Load the binary vocabulary data from the given string."""
|
|
||||||
cdef LexemeC* lexeme
|
|
||||||
cdef hash_t key
|
|
||||||
cdef unicode py_str
|
|
||||||
cdef int i = 0
|
|
||||||
cdef int j = 0
|
|
||||||
cdef SerializedLexemeC lex_data
|
|
||||||
chunk_size = sizeof(lex_data.data)
|
|
||||||
cdef void* ptr
|
|
||||||
cdef unsigned char* bytes_ptr = bytes_data
|
|
||||||
for i in range(0, len(bytes_data), chunk_size):
|
|
||||||
lexeme = <LexemeC*>self.mem.alloc(1, sizeof(LexemeC))
|
|
||||||
for j in range(sizeof(lex_data.data)):
|
|
||||||
lex_data.data[j] = bytes_ptr[i+j]
|
|
||||||
Lexeme.c_from_bytes(lexeme, lex_data)
|
|
||||||
prev_entry = self._by_orth.get(lexeme.orth)
|
|
||||||
if prev_entry != NULL:
|
|
||||||
memcpy(prev_entry, lexeme, sizeof(LexemeC))
|
|
||||||
continue
|
|
||||||
ptr = self.strings._map.get(lexeme.orth)
|
|
||||||
if ptr == NULL:
|
|
||||||
continue
|
|
||||||
py_str = self.strings[lexeme.orth]
|
|
||||||
if self.strings[py_str] != lexeme.orth:
|
|
||||||
raise ValueError(Errors.E086.format(string=py_str,
|
|
||||||
orth_id=lexeme.orth,
|
|
||||||
hash_id=self.strings[py_str]))
|
|
||||||
self._by_orth.set(lexeme.orth, lexeme)
|
|
||||||
self.length += 1
|
|
||||||
|
|
||||||
def _reset_cache(self, keys, strings):
|
def _reset_cache(self, keys, strings):
|
||||||
# I'm not sure this made sense. Disable it for now.
|
# I'm not sure this made sense. Disable it for now.
|
||||||
raise NotImplementedError
|
raise NotImplementedError
|
||||||
|
|
||||||
|
|
||||||
|
def load_extra_lookups(self, table_name):
|
||||||
|
if table_name not in self.lookups_extra:
|
||||||
|
if self.lang + "_extra" in util.registry.lookups:
|
||||||
|
tables = util.registry.lookups.get(self.lang + "_extra")
|
||||||
|
for name, filename in tables.items():
|
||||||
|
if table_name == name:
|
||||||
|
data = util.load_language_data(filename)
|
||||||
|
self.lookups_extra.add_table(name, data)
|
||||||
|
if table_name not in self.lookups_extra:
|
||||||
|
self.lookups_extra.add_table(table_name)
|
||||||
|
return self.lookups_extra.get_table(table_name)
|
||||||
|
|
||||||
|
|
||||||
def pickle_vocab(vocab):
|
def pickle_vocab(vocab):
|
||||||
sstore = vocab.strings
|
sstore = vocab.strings
|
||||||
vectors = vocab.vectors
|
vectors = vocab.vectors
|
||||||
morph = vocab.morphology
|
morph = vocab.morphology
|
||||||
length = vocab.length
|
|
||||||
data_dir = vocab.data_dir
|
data_dir = vocab.data_dir
|
||||||
lex_attr_getters = srsly.pickle_dumps(vocab.lex_attr_getters)
|
lex_attr_getters = srsly.pickle_dumps(vocab.lex_attr_getters)
|
||||||
lexemes_data = vocab.lexemes_to_bytes()
|
lookups = vocab.lookups
|
||||||
|
lookups_extra = vocab.lookups_extra
|
||||||
return (unpickle_vocab,
|
return (unpickle_vocab,
|
||||||
(sstore, vectors, morph, data_dir, lex_attr_getters, lexemes_data, length))
|
(sstore, vectors, morph, data_dir, lex_attr_getters, lookups, lookups_extra))
|
||||||
|
|
||||||
|
|
||||||
def unpickle_vocab(sstore, vectors, morphology, data_dir,
|
def unpickle_vocab(sstore, vectors, morphology, data_dir,
|
||||||
lex_attr_getters, bytes lexemes_data, int length):
|
lex_attr_getters, lookups, lookups_extra):
|
||||||
cdef Vocab vocab = Vocab()
|
cdef Vocab vocab = Vocab()
|
||||||
vocab.length = length
|
|
||||||
vocab.vectors = vectors
|
vocab.vectors = vectors
|
||||||
vocab.strings = sstore
|
vocab.strings = sstore
|
||||||
vocab.morphology = morphology
|
vocab.morphology = morphology
|
||||||
vocab.data_dir = data_dir
|
vocab.data_dir = data_dir
|
||||||
vocab.lex_attr_getters = srsly.pickle_loads(lex_attr_getters)
|
vocab.lex_attr_getters = srsly.pickle_loads(lex_attr_getters)
|
||||||
vocab.lexemes_from_bytes(lexemes_data)
|
vocab.lookups = lookups
|
||||||
vocab.length = length
|
vocab.lookups_extra = lookups_extra
|
||||||
return vocab
|
return vocab
|
||||||
|
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue
Block a user