mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 13:47:13 +03:00
1f7229f40f
This reverts commitc9ba3d3c2d
, reversing changes made to92c26a35d4
.
75 lines
2.1 KiB
Python
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']
|