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Python

5 years ago
# Natural Language Toolkit: Parser API
#
# Copyright (C) 2001-2020 NLTK Project
5 years ago
# Author: Steven Bird <stevenbird1@gmail.com>
# Edward Loper <edloper@gmail.com>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
#
import itertools
from nltk.internals import overridden
class ParserI(object):
"""
A processing class for deriving trees that represent possible
structures for a sequence of tokens. These tree structures are
known as "parses". Typically, parsers are used to derive syntax
trees for sentences. But parsers can also be used to derive other
kinds of tree structure, such as morphological trees and discourse
structures.
Subclasses must define:
- at least one of: ``parse()``, ``parse_sents()``.
Subclasses may define:
- ``grammar()``
"""
def grammar(self):
"""
:return: The grammar used by this parser.
"""
raise NotImplementedError()
def parse(self, sent, *args, **kwargs):
"""
:return: An iterator that generates parse trees for the sentence.
When possible this list is sorted from most likely to least likely.
:param sent: The sentence to be parsed
:type sent: list(str)
:rtype: iter(Tree)
"""
if overridden(self.parse_sents):
return next(self.parse_sents([sent], *args, **kwargs))
elif overridden(self.parse_one):
return (
tree
for tree in [self.parse_one(sent, *args, **kwargs)]
if tree is not None
)
elif overridden(self.parse_all):
return iter(self.parse_all(sent, *args, **kwargs))
else:
raise NotImplementedError()
def parse_sents(self, sents, *args, **kwargs):
"""
Apply ``self.parse()`` to each element of ``sents``.
:rtype: iter(iter(Tree))
"""
return (self.parse(sent, *args, **kwargs) for sent in sents)
def parse_all(self, sent, *args, **kwargs):
""":rtype: list(Tree)"""
return list(self.parse(sent, *args, **kwargs))
def parse_one(self, sent, *args, **kwargs):
""":rtype: Tree or None"""
return next(self.parse(sent, *args, **kwargs), None)