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e962784531
* Add Lemmatizer and simplify related components * Add `Lemmatizer` pipe with `lookup` and `rule` modes using the `Lookups` tables. * Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma) * Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer, or morph rules) * Remove lemmatizer from `Vocab` * Adjust many many tests Differences: * No default lookup lemmas * No special treatment of TAG in `from_array` and similar required * Easier to modify labels in a `Tagger` * No extra strings added from morphology / tag map * Fix test * Initial fix for Lemmatizer config/serialization * Adjust init test to be more generic * Adjust init test to force empty Lookups * Add simple cache to rule-based lemmatizer * Convert language-specific lemmatizers Convert language-specific lemmatizers to component lemmatizers. Remove previous lemmatizer class. * Fix French and Polish lemmatizers * Remove outdated UPOS conversions * Update Russian lemmatizer init in tests * Add minimal init/run tests for custom lemmatizers * Add option to overwrite existing lemmas * Update mode setting, lookup loading, and caching * Make `mode` an immutable property * Only enforce strict `load_lookups` for known supported modes * Move caching into individual `_lemmatize` methods * Implement strict when lang is not found in lookups * Fix tables/lookups in make_lemmatizer * Reallow provided lookups and allow for stricter checks * Add lookups asset to all Lemmatizer pipe tests * Rename lookups in lemmatizer init test * Clean up merge * Refactor lookup table loading * Add helper from `load_lemmatizer_lookups` that loads required and optional lookups tables based on settings provided by a config. Additional slight refactor of lookups: * Add `Lookups.set_table` to set a table from a provided `Table` * Reorder class definitions to be able to specify type as `Table` * Move registry assets into test methods * Refactor lookups tables config Use class methods within `Lemmatizer` to provide the config for particular modes and to load the lookups from a config. * Add pipe and score to lemmatizer * Simplify Tagger.score * Add missing import * Clean up imports and auto-format * Remove unused kwarg * Tidy up and auto-format * Update docstrings for Lemmatizer Update docstrings for Lemmatizer. Additionally modify `is_base_form` API to take `Token` instead of individual features. * Update docstrings * Remove tag map values from Tagger.add_label * Update API docs * Fix relative link in Lemmatizer API docs
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
import pytest
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from spacy import util, registry
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from spacy.lang.en import English
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from spacy.lookups import Lookups, load_lookups
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from ..util import make_tempdir
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@pytest.fixture
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def nlp():
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return English()
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@pytest.fixture
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def lemmatizer(nlp):
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@registry.assets("cope_lookups")
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def cope_lookups():
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lookups = Lookups()
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lookups.add_table("lemma_lookup", {"cope": "cope"})
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lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
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lookups.add_table("lemma_exc", {"verb": {"coping": ("cope",)}})
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lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
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return lookups
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lemmatizer = nlp.add_pipe(
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"lemmatizer", config={"mode": "rule", "lookups": {"@assets": "cope_lookups"}}
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)
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return lemmatizer
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def test_lemmatizer_init(nlp):
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@registry.assets("cope_lookups")
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def cope_lookups():
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lookups = Lookups()
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lookups.add_table("lemma_lookup", {"cope": "cope"})
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lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
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lookups.add_table("lemma_exc", {"verb": {"coping": ("cope",)}})
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lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
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return lookups
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lemmatizer = nlp.add_pipe(
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"lemmatizer", config={"mode": "lookup", "lookups": {"@assets": "cope_lookups"}}
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)
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assert isinstance(lemmatizer.lookups, Lookups)
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assert lemmatizer.mode == "lookup"
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# replace any tables from spacy-lookups-data
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lemmatizer.lookups = Lookups()
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doc = nlp("coping")
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# lookup with no tables sets text as lemma
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assert doc[0].lemma_ == "coping"
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nlp.remove_pipe("lemmatizer")
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@registry.assets("empty_lookups")
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def empty_lookups():
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return Lookups()
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with pytest.raises(ValueError):
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nlp.add_pipe(
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"lemmatizer",
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config={"mode": "lookup", "lookups": {"@assets": "empty_lookups"}},
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)
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def test_lemmatizer_config(nlp, lemmatizer):
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doc = nlp.make_doc("coping")
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doc[0].pos_ = "VERB"
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assert doc[0].lemma_ == ""
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doc = lemmatizer(doc)
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assert doc[0].text == "coping"
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assert doc[0].lemma_ == "cope"
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doc = nlp.make_doc("coping")
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doc[0].pos_ = "VERB"
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assert doc[0].lemma_ == ""
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doc = lemmatizer(doc)
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assert doc[0].text == "coping"
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assert doc[0].lemma_ == "cope"
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def test_lemmatizer_serialize(nlp, lemmatizer):
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@registry.assets("cope_lookups")
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def cope_lookups():
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lookups = Lookups()
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lookups.add_table("lemma_lookup", {"cope": "cope"})
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lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
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lookups.add_table("lemma_exc", {"verb": {"coping": ("cope",)}})
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lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
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return lookups
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nlp2 = English()
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lemmatizer2 = nlp2.add_pipe(
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"lemmatizer", config={"mode": "rule", "lookups": {"@assets": "cope_lookups"}}
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)
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lemmatizer2.from_bytes(lemmatizer.to_bytes())
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assert lemmatizer.to_bytes() == lemmatizer2.to_bytes()
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assert lemmatizer.lookups.tables == lemmatizer2.lookups.tables
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# Also test the results are still the same after IO
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with make_tempdir() as tmp_dir:
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nlp.to_disk(tmp_dir)
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nlp2 = util.load_model_from_path(tmp_dir)
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doc2 = nlp2.make_doc("coping")
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doc2[0].pos_ = "VERB"
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assert doc2[0].lemma_ == ""
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doc2 = lemmatizer(doc2)
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assert doc2[0].text == "coping"
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assert doc2[0].lemma_ == "cope"
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