mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
bd72fbf09c
* Port Japanese mecab tokenizer from v1 This brings the Mecab-based Japanese tokenization introduced in #1246 to spaCy v2. There isn't a JapaneseTagger implementation yet, but POS tag information from Mecab is stored in a token extension. A tag map is also included. As a reminder, Mecab is required because Universal Dependencies are based on Unidic tags, and Janome doesn't support Unidic. Things to check: 1. Is this the right way to use a token extension? 2. What's the right way to implement a JapaneseTagger? The approach in #1246 relied on `tag_from_strings` which is just gone now. I guess the best thing is to just try training spaCy's default Tagger? -POLM * Add tagging/make_doc and tests
46 lines
2.9 KiB
Python
46 lines
2.9 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
TOKENIZER_TESTS = [
|
|
("日本語だよ", ['日本', '語', 'だ', 'よ']),
|
|
("東京タワーの近くに住んでいます。", ['東京', 'タワー', 'の', '近く', 'に', '住ん', 'で', 'い', 'ます', '。']),
|
|
("吾輩は猫である。", ['吾輩', 'は', '猫', 'で', 'ある', '。']),
|
|
("月に代わって、お仕置きよ!", ['月', 'に', '代わっ', 'て', '、', 'お', '仕置き', 'よ', '!']),
|
|
("すもももももももものうち", ['すもも', 'も', 'もも', 'も', 'もも', 'の', 'うち'])
|
|
]
|
|
|
|
TAG_TESTS = [
|
|
("日本語だよ", ['日本語だよ', '名詞-固有名詞-地名-国', '名詞-普通名詞-一般', '助動詞', '助詞-終助詞']),
|
|
("東京タワーの近くに住んでいます。", ['名詞-固有名詞-地名-一般', '名詞-普通名詞-一般', '助詞-格助詞', '名詞-普通名詞-副詞可能', '助詞-格助詞', '動詞-一般', '助詞-接続助詞', '動詞-非自立可能', '助動詞', '補助記号-句点']),
|
|
("吾輩は猫である。", ['代名詞', '助詞-係助詞', '名詞-普通名詞-一般', '助動詞', '動詞-非自立可能', '補助記号-句点']),
|
|
("月に代わって、お仕置きよ!", ['名詞-普通名詞-助数詞可能', '助詞-格助詞', '動詞-一般', '助詞-接続助詞', '補助記号-読点', '接頭辞', '名詞-普通名詞-一般', '助詞-終助詞', '補助記号-句点 ']),
|
|
("すもももももももものうち", ['名詞-普通名詞-一般', '助詞-係助詞', '名詞-普通名詞-一般', '助詞-係助詞', '名詞-普通名詞-一般', '助詞-格助詞', '名詞-普通名詞-副詞可能'])
|
|
]
|
|
|
|
POS_TESTS = [
|
|
('日本語だよ', ['PROPN', 'NOUN', 'AUX', 'PART']),
|
|
('東京タワーの近くに住んでいます。', ['PROPN', 'NOUN', 'ADP', 'NOUN', 'ADP', 'VERB', 'SCONJ', 'VERB', 'AUX', 'PUNCT']),
|
|
('吾輩は猫である。', ['PRON', 'ADP', 'NOUN', 'AUX', 'VERB', 'PUNCT']),
|
|
('月に代わって、お仕置きよ!', ['NOUN', 'ADP', 'VERB', 'SCONJ', 'PUNCT', 'NOUN', 'NOUN', 'PART', 'PUNCT']),
|
|
('すもももももももものうち', ['NOUN', 'ADP', 'NOUN', 'ADP', 'NOUN', 'ADP', 'NOUN'])
|
|
]
|
|
|
|
|
|
@pytest.mark.parametrize('text,expected_tokens', TOKENIZER_TESTS)
|
|
def test_japanese_tokenizer(ja_tokenizer, text, expected_tokens):
|
|
tokens = [token.text for token in ja_tokenizer(text)]
|
|
assert tokens == expected_tokens
|
|
|
|
@pytest.mark.parametrize('text,expected_tags', TAG_TESTS)
|
|
def test_japanese_tokenizer(ja_tokenizer, text, expected_tags):
|
|
tags = [token.tag_ for token in ja_tokenizer(text)]
|
|
assert tags == expected_tags
|
|
|
|
@pytest.mark.parametrize('text,expected_pos', POS_TESTS)
|
|
def test_japanese_tokenizer(ja_tokenizer, text, expected_pos):
|
|
pos = [token.pos_ for token in ja_tokenizer(text)]
|
|
assert pos == expected_pos
|