spaCy/spacy/tests/lang/ru/test_lemmatizer.py
Ines Montani 43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00

70 lines
2.3 KiB
Python

import pytest
from ...util import get_doc
@pytest.mark.xfail(reason="TODO: investigate why lemmatizer fails here")
def test_ru_doc_lemmatization(ru_tokenizer):
words = ["мама", "мыла", "раму"]
tags = [
"NOUN__Animacy=Anim|Case=Nom|Gender=Fem|Number=Sing",
"VERB__Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act",
"NOUN__Animacy=Anim|Case=Acc|Gender=Fem|Number=Sing",
]
doc = get_doc(ru_tokenizer.vocab, words=words, tags=tags)
lemmas = [token.lemma_ for token in doc]
assert lemmas == ["мама", "мыть", "рама"]
@pytest.mark.parametrize(
"text,lemmas",
[
("гвоздики", ["гвоздик", "гвоздика"]),
("люди", ["человек"]),
("реки", ["река"]),
("кольцо", ["кольцо"]),
("пепперони", ["пепперони"]),
],
)
def test_ru_lemmatizer_noun_lemmas(ru_lemmatizer, text, lemmas):
assert sorted(ru_lemmatizer.noun(text)) == lemmas
@pytest.mark.parametrize(
"text,pos,morphology,lemma",
[
("рой", "NOUN", None, "рой"),
("рой", "VERB", None, "рыть"),
("клей", "NOUN", None, "клей"),
("клей", "VERB", None, "клеить"),
("три", "NUM", None, "три"),
("кос", "NOUN", {"Number": "Sing"}, "кос"),
("кос", "NOUN", {"Number": "Plur"}, "коса"),
("кос", "ADJ", None, "косой"),
("потом", "NOUN", None, "пот"),
("потом", "ADV", None, "потом"),
],
)
def test_ru_lemmatizer_works_with_different_pos_homonyms(
ru_lemmatizer, text, pos, morphology, lemma
):
assert ru_lemmatizer(text, pos, morphology) == [lemma]
@pytest.mark.parametrize(
"text,morphology,lemma",
[
("гвоздики", {"Gender": "Fem"}, "гвоздика"),
("гвоздики", {"Gender": "Masc"}, "гвоздик"),
("вина", {"Gender": "Fem"}, "вина"),
("вина", {"Gender": "Neut"}, "вино"),
],
)
def test_ru_lemmatizer_works_with_noun_homonyms(ru_lemmatizer, text, morphology, lemma):
assert ru_lemmatizer.noun(text, morphology) == [lemma]
def test_ru_lemmatizer_punct(ru_lemmatizer):
assert ru_lemmatizer.punct("«") == ['"']
assert ru_lemmatizer.punct("»") == ['"']