spaCy/spacy/lang/ja/__init__.py
2018-03-27 19:23:02 +02:00

75 lines
2.1 KiB
Python

# encoding: utf8
from __future__ import unicode_literals, print_function
from ...language import Language
from ...attrs import LANG
from ...tokens import Doc
from ...tokenizer import Tokenizer
class JapaneseTokenizer(object):
def __init__(self, cls, nlp=None):
self.vocab = nlp.vocab if nlp is not None else cls.create_vocab(nlp)
try:
from janome.tokenizer import Tokenizer
except ImportError:
raise ImportError("The Japanese tokenizer requires the Janome "
"library: https://github.com/mocobeta/janome")
self.tokenizer = Tokenizer()
def __call__(self, text):
words = [x.surface for x in self.tokenizer.tokenize(text)]
return Doc(self.vocab, words=words, spaces=[False]*len(words))
# add dummy methods for to_bytes, from_bytes, to_disk and from_disk to
# allow serialization (see #1557)
def to_bytes(self, **exclude):
return b''
def from_bytes(self, bytes_data, **exclude):
return self
def to_disk(self, path, **exclude):
return None
def from_disk(self, path, **exclude):
return self
class JapaneseCharacterSegmenter(object):
def __init__(self, vocab):
self.vocab = vocab
def __call__(self, text):
words = []
spaces = []
doc = self.tokenizer(text)
for token in self.tokenizer(text):
words.extend(list(token.text))
spaces.extend([False]*len(token.text))
spaces[-1] = bool(token.whitespace_)
return Doc(self.vocab, words=words, spaces=spaces)
class JapaneseDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'ja'
use_janome = True
@classmethod
def create_tokenizer(cls, nlp=None):
if cls.use_janome:
return JapaneseTokenizer(cls, nlp)
else:
return JapaneseCharacterSegmenter(cls, nlp.vocab)
class Japanese(Language):
lang = 'ja'
Defaults = JapaneseDefaults
def make_doc(self, text):
return self.tokenizer(text)
__all__ = ['Japanese']