mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 21:57:15 +03:00
bab9976d9a
* Adjust Table API and add docs * Add attributes and update description [ci skip] * Use strings.get_string_id instead of hash_string * Fix table method calls * Make orth arg in Lemmatizer.lookup optional Fall back to string, which is now handled by Table.__contains__ out-of-the-box * Fix method name * Auto-format
144 lines
3.7 KiB
Python
144 lines
3.7 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
# Calling the Lemmatizer directly
|
|
# Imitates behavior of:
|
|
# Tagger.set_annotations()
|
|
# -> vocab.morphology.assign_tag_id()
|
|
# -> vocab.morphology.assign_tag_id()
|
|
# -> Token.tag.__set__
|
|
# -> vocab.morphology.assign_tag(...)
|
|
# -> ... -> Morphology.assign_tag(...)
|
|
# -> self.lemmatize(analysis.tag.pos, token.lex.orth,
|
|
|
|
|
|
noun_irreg_lemmatization_cases = [
|
|
("volkeren", "volk"),
|
|
("vaatje", "vat"),
|
|
("verboden", "verbod"),
|
|
("ijsje", "ijsje"),
|
|
("slagen", "slag"),
|
|
("verdragen", "verdrag"),
|
|
("verloven", "verlof"),
|
|
("gebeden", "gebed"),
|
|
("gaten", "gat"),
|
|
("staven", "staf"),
|
|
("aquariums", "aquarium"),
|
|
("podia", "podium"),
|
|
("holen", "hol"),
|
|
("lammeren", "lam"),
|
|
("bevelen", "bevel"),
|
|
("wegen", "weg"),
|
|
("moeilijkheden", "moeilijkheid"),
|
|
("aanwezigheden", "aanwezigheid"),
|
|
("goden", "god"),
|
|
("loten", "lot"),
|
|
("kaarsen", "kaars"),
|
|
("leden", "lid"),
|
|
("glaasje", "glas"),
|
|
("eieren", "ei"),
|
|
("vatten", "vat"),
|
|
("kalveren", "kalf"),
|
|
("padden", "pad"),
|
|
("smeden", "smid"),
|
|
("genen", "gen"),
|
|
("beenderen", "been"),
|
|
]
|
|
|
|
|
|
verb_irreg_lemmatization_cases = [
|
|
("liep", "lopen"),
|
|
("hief", "heffen"),
|
|
("begon", "beginnen"),
|
|
("sla", "slaan"),
|
|
("aangekomen", "aankomen"),
|
|
("sproot", "spruiten"),
|
|
("waart", "zijn"),
|
|
("snoof", "snuiven"),
|
|
("spoot", "spuiten"),
|
|
("ontbeet", "ontbijten"),
|
|
("gehouwen", "houwen"),
|
|
("afgewassen", "afwassen"),
|
|
("deed", "doen"),
|
|
("schoven", "schuiven"),
|
|
("gelogen", "liegen"),
|
|
("woog", "wegen"),
|
|
("gebraden", "braden"),
|
|
("smolten", "smelten"),
|
|
("riep", "roepen"),
|
|
("aangedaan", "aandoen"),
|
|
("vermeden", "vermijden"),
|
|
("stootten", "stoten"),
|
|
("ging", "gaan"),
|
|
("geschoren", "scheren"),
|
|
("gesponnen", "spinnen"),
|
|
("reden", "rijden"),
|
|
("zochten", "zoeken"),
|
|
("leed", "lijden"),
|
|
("verzonnen", "verzinnen"),
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize("text,lemma", noun_irreg_lemmatization_cases)
|
|
def test_nl_lemmatizer_noun_lemmas_irreg(nl_lemmatizer, text, lemma):
|
|
pos = "noun"
|
|
lemmas_pred = nl_lemmatizer(text, pos)
|
|
assert lemma == sorted(lemmas_pred)[0]
|
|
|
|
|
|
@pytest.mark.parametrize("text,lemma", verb_irreg_lemmatization_cases)
|
|
def test_nl_lemmatizer_verb_lemmas_irreg(nl_lemmatizer, text, lemma):
|
|
pos = "verb"
|
|
lemmas_pred = nl_lemmatizer(text, pos)
|
|
assert lemma == sorted(lemmas_pred)[0]
|
|
|
|
|
|
@pytest.mark.skip
|
|
@pytest.mark.parametrize("text,lemma", [])
|
|
def test_nl_lemmatizer_verb_lemmas_reg(nl_lemmatizer, text, lemma):
|
|
# TODO: add test
|
|
pass
|
|
|
|
|
|
@pytest.mark.skip
|
|
@pytest.mark.parametrize("text,lemma", [])
|
|
def test_nl_lemmatizer_adjective_lemmas(nl_lemmatizer, text, lemma):
|
|
# TODO: add test
|
|
pass
|
|
|
|
|
|
@pytest.mark.skip
|
|
@pytest.mark.parametrize("text,lemma", [])
|
|
def test_nl_lemmatizer_determiner_lemmas(nl_lemmatizer, text, lemma):
|
|
# TODO: add test
|
|
pass
|
|
|
|
|
|
@pytest.mark.skip
|
|
@pytest.mark.parametrize("text,lemma", [])
|
|
def test_nl_lemmatizer_adverb_lemmas(nl_lemmatizer, text, lemma):
|
|
# TODO: add test
|
|
pass
|
|
|
|
|
|
@pytest.mark.parametrize("text,lemma", [])
|
|
def test_nl_lemmatizer_pronoun_lemmas(nl_lemmatizer, text, lemma):
|
|
# TODO: add test
|
|
pass
|
|
|
|
|
|
# Using the lemma lookup table only
|
|
@pytest.mark.parametrize("text,lemma", noun_irreg_lemmatization_cases)
|
|
def test_nl_lemmatizer_lookup_noun(nl_lemmatizer, text, lemma):
|
|
lemma_pred = nl_lemmatizer.lookup(text)
|
|
assert lemma_pred in (lemma, text)
|
|
|
|
|
|
@pytest.mark.parametrize("text,lemma", verb_irreg_lemmatization_cases)
|
|
def test_nl_lemmatizer_lookup_verb(nl_lemmatizer, text, lemma):
|
|
lemma_pred = nl_lemmatizer.lookup(text)
|
|
assert lemma_pred in (lemma, text)
|