79 lines
2.0 KiB
Python
79 lines
2.0 KiB
Python
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# Natural Language Toolkit: Tokenizer Interface
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#
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# Copyright (C) 2001-2019 NLTK Project
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# Author: Edward Loper <edloper@gmail.com>
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# Steven Bird <stevenbird1@gmail.com>
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# URL: <http://nltk.org/>
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# For license information, see LICENSE.TXT
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"""
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Tokenizer Interface
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"""
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from abc import ABCMeta, abstractmethod
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from six import add_metaclass
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from nltk.internals import overridden
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from nltk.tokenize.util import string_span_tokenize
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@add_metaclass(ABCMeta)
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class TokenizerI(object):
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"""
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A processing interface for tokenizing a string.
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Subclasses must define ``tokenize()`` or ``tokenize_sents()`` (or both).
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"""
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@abstractmethod
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def tokenize(self, s):
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"""
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Return a tokenized copy of *s*.
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:rtype: list of str
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"""
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if overridden(self.tokenize_sents):
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return self.tokenize_sents([s])[0]
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def span_tokenize(self, s):
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"""
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Identify the tokens using integer offsets ``(start_i, end_i)``,
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where ``s[start_i:end_i]`` is the corresponding token.
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:rtype: iter(tuple(int, int))
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"""
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raise NotImplementedError()
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def tokenize_sents(self, strings):
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"""
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Apply ``self.tokenize()`` to each element of ``strings``. I.e.:
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return [self.tokenize(s) for s in strings]
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:rtype: list(list(str))
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"""
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return [self.tokenize(s) for s in strings]
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def span_tokenize_sents(self, strings):
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"""
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Apply ``self.span_tokenize()`` to each element of ``strings``. I.e.:
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return [self.span_tokenize(s) for s in strings]
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:rtype: iter(list(tuple(int, int)))
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"""
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for s in strings:
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yield list(self.span_tokenize(s))
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class StringTokenizer(TokenizerI):
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"""A tokenizer that divides a string into substrings by splitting
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on the specified string (defined in subclasses).
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"""
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def tokenize(self, s):
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return s.split(self._string)
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def span_tokenize(self, s):
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for span in string_span_tokenize(s, self._string):
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yield span
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