mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-26 18:06:29 +03:00
68 lines
1.9 KiB
ReStructuredText
68 lines
1.9 KiB
ReStructuredText
===============
|
|
Processing Text
|
|
===============
|
|
|
|
The text processing API is very small and simple. Everything is a callable object,
|
|
and you will almost always apply the pipeline all at once.
|
|
|
|
Applying a pipeline
|
|
-------------------
|
|
|
|
|
|
.. py:method:: English.__call__(text, tag=True, parse=True, entity=True) --> Doc
|
|
|
|
|
|
text (unicode)
|
|
The text to be processed. No pre-processing needs to be applied, and any
|
|
length of text can be submitted. Usually you will submit a whole document.
|
|
Text may be zero-length. An exception is raised if byte strings are supplied.
|
|
|
|
tag (bool)
|
|
Whether to apply the part-of-speech tagger. Required for parsing and entity recognition.
|
|
|
|
parse (bool)
|
|
Whether to apply the syntactic dependency parser.
|
|
|
|
entity (bool)
|
|
Whether to apply the named entity recognizer.
|
|
|
|
|
|
**Examples**
|
|
|
|
>>> from spacy.en import English
|
|
>>> nlp = English()
|
|
>>> doc = nlp(u'Some text.) # Applies tagger, parser, entity
|
|
>>> doc = nlp(u'Some text.', parse=False) # Applies tagger and entity, not parser
|
|
>>> doc = nlp(u'Some text.', entity=False) # Applies tagger and parser, not entity
|
|
>>> doc = nlp(u'Some text.', tag=False) # Does not apply tagger, entity or parser
|
|
>>> doc = nlp(u'') # Zero-length tokens, not an error
|
|
>>> doc = nlp(b'Some text') # Error: need unicode
|
|
Traceback (most recent call last):
|
|
File "<stdin>", line 1, in <module>
|
|
File "spacy/en/__init__.py", line 128, in __call__
|
|
tokens = self.tokenizer(text)
|
|
TypeError: Argument 'string' has incorrect type (expected unicode, got str)
|
|
>>> doc = nlp(b'Some text'.decode('utf8')) # Encode to unicode first.
|
|
>>>
|
|
|
|
|
|
Tokenizer
|
|
---------
|
|
|
|
|
|
.. autoclass:: spacy.tokenizer.Tokenizer
|
|
:members:
|
|
|
|
|
|
Tagger
|
|
------
|
|
|
|
.. autoclass:: spacy.en.pos.EnPosTagger
|
|
:members:
|
|
|
|
Parser and Entity Recognizer
|
|
----------------------------
|
|
|
|
.. autoclass:: spacy.syntax.parser.Parser
|
|
:members:
|