mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
0a62098c5f
* Fix lemmatizer init args for python2.7 * Move English is_base_form to a class method * Skip test pickling PhraseMatcher for python2
81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
# coding: utf8
|
||
from __future__ import unicode_literals
|
||
|
||
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
||
from .tag_map import TAG_MAP
|
||
from .stop_words import STOP_WORDS
|
||
from .lex_attrs import LEX_ATTRS
|
||
from .morph_rules import MORPH_RULES
|
||
from .syntax_iterators import SYNTAX_ITERATORS
|
||
|
||
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
||
from ...language import Language
|
||
from ...attrs import LANG
|
||
from ...util import update_exc
|
||
|
||
|
||
def _return_en(_):
|
||
return "en"
|
||
|
||
|
||
class EnglishDefaults(Language.Defaults):
|
||
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
||
lex_attr_getters.update(LEX_ATTRS)
|
||
lex_attr_getters[LANG] = _return_en
|
||
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
||
tag_map = TAG_MAP
|
||
stop_words = STOP_WORDS
|
||
morph_rules = MORPH_RULES
|
||
syntax_iterators = SYNTAX_ITERATORS
|
||
single_orth_variants = [
|
||
{"tags": ["NFP"], "variants": ["…", "..."]},
|
||
{"tags": [":"], "variants": ["-", "—", "–", "--", "---", "——"]},
|
||
]
|
||
paired_orth_variants = [
|
||
{"tags": ["``", "''"], "variants": [("'", "'"), ("‘", "’")]},
|
||
{"tags": ["``", "''"], "variants": [('"', '"'), ("“", "”")]},
|
||
]
|
||
|
||
@classmethod
|
||
def is_base_form(cls, univ_pos, morphology=None):
|
||
"""
|
||
Check whether we're dealing with an uninflected paradigm, so we can
|
||
avoid lemmatization entirely.
|
||
|
||
univ_pos (unicode / int): The token's universal part-of-speech tag.
|
||
morphology (dict): The token's morphological features following the
|
||
Universal Dependencies scheme.
|
||
"""
|
||
if morphology is None:
|
||
morphology = {}
|
||
if univ_pos == "noun" and morphology.get("Number") == "sing":
|
||
return True
|
||
elif univ_pos == "verb" and morphology.get("VerbForm") == "inf":
|
||
return True
|
||
# This maps 'VBP' to base form -- probably just need 'IS_BASE'
|
||
# morphology
|
||
elif univ_pos == "verb" and (
|
||
morphology.get("VerbForm") == "fin"
|
||
and morphology.get("Tense") == "pres"
|
||
and morphology.get("Number") is None
|
||
):
|
||
return True
|
||
elif univ_pos == "adj" and morphology.get("Degree") == "pos":
|
||
return True
|
||
elif morphology.get("VerbForm") == "inf":
|
||
return True
|
||
elif morphology.get("VerbForm") == "none":
|
||
return True
|
||
elif morphology.get("Degree") == "pos":
|
||
return True
|
||
else:
|
||
return False
|
||
|
||
|
||
class English(Language):
|
||
lang = "en"
|
||
Defaults = EnglishDefaults
|
||
|
||
|
||
__all__ = ["English"]
|