mirror of https://github.com/explosion/spaCy.git
Fix character-based tokenization for Japanese
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@ -5,6 +5,7 @@ from ...language import Language
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from ...attrs import LANG
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from ...tokens import Doc, Token
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from ...tokenizer import Tokenizer
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from ... import util
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from .tag_map import TAG_MAP
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import re
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@ -12,15 +13,14 @@ from collections import namedtuple
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ShortUnitWord = namedtuple('ShortUnitWord', ['surface', 'lemma', 'pos'])
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# XXX Is this the right place for this?
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Token.set_extension('mecab_tag', default=None)
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def try_mecab_import():
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"""Mecab is required for Japanese support, so check for it.
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It it's not available blow up and explain how to fix it."""
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try:
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import MeCab
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# XXX Is this the right place for this?
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Token.set_extension('mecab_tag', default=None)
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return MeCab
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except ImportError:
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raise ImportError("Japanese support requires MeCab: "
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@ -50,7 +50,7 @@ def resolve_pos(token):
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def detailed_tokens(tokenizer, text):
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"""Format Mecab output into a nice data structure, based on Janome."""
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tokenizer.parse(text)
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node = tokenizer.parseToNode(text)
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node = node.next # first node is beginning of sentence and empty, skip it
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words = []
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@ -102,12 +102,28 @@ class JapaneseTokenizer(object):
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class JapaneseCharacterSegmenter(object):
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def __init__(self, vocab):
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self.vocab = vocab
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self._presegmenter = self._make_presegmenter(self.vocab)
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def _make_presegmenter(self, vocab):
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rules = Japanese.Defaults.tokenizer_exceptions
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token_match = Japanese.Defaults.token_match
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prefix_search = (util.compile_prefix_regex(Japanese.Defaults.prefixes).search
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if Japanese.Defaults.prefixes else None)
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suffix_search = (util.compile_suffix_regex(Japanese.Defaults.suffixes).search
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if Japanese.Defaults.suffixes else None)
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infix_finditer = (util.compile_infix_regex(Japanese.Defaults.infixes).finditer
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if Japanese.Defaults.infixes else None)
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return Tokenizer(vocab, rules=rules,
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prefix_search=prefix_search,
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suffix_search=suffix_search,
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infix_finditer=infix_finditer,
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token_match=token_match)
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def __call__(self, text):
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words = []
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spaces = []
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doc = self.tokenizer(text)
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for token in self.tokenizer(text):
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doc = self._presegmenter(text)
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for token in doc:
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words.extend(list(token.text))
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spaces.extend([False]*len(token.text))
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spaces[-1] = bool(token.whitespace_)
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@ -125,7 +141,7 @@ class JapaneseDefaults(Language.Defaults):
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if cls.use_janome:
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return JapaneseTokenizer(cls, nlp)
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else:
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return JapaneseCharacterSegmenter(cls, nlp.vocab)
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return JapaneseCharacterSegmenter(nlp.vocab)
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class Japanese(Language):
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lang = 'ja'
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