nltk.translate.AlignedSent

class nltk.translate.AlignedSent

Bases: object

Return an aligned sentence object, which encapsulates two sentences along with an Alignment between them.

Typically used in machine translation to represent a sentence and its translation.

>>> from nltk.translate import AlignedSent, Alignment
>>> algnsent = AlignedSent(['klein', 'ist', 'das', 'Haus'],
...     ['the', 'house', 'is', 'small'], Alignment.fromstring('0-3 1-2 2-0 3-1'))
>>> algnsent.words
['klein', 'ist', 'das', 'Haus']
>>> algnsent.mots
['the', 'house', 'is', 'small']
>>> algnsent.alignment
Alignment([(0, 3), (1, 2), (2, 0), (3, 1)])
>>> from nltk.corpus import comtrans
>>> print(comtrans.aligned_sents()[54])
<AlignedSent: 'Weshalb also sollten...' -> 'So why should EU arm...'>
>>> print(comtrans.aligned_sents()[54].alignment)
0-0 0-1 1-0 2-2 3-4 3-5 4-7 5-8 6-3 7-9 8-9 9-10 9-11 10-12 11-6 12-6 13-13

Parameters

• words (list(str)) – Words in the target language sentence

• mots (list(str)) – Words in the source language sentence

• alignment (Alignment) – Word-level alignments between words and mots. Each alignment is represented as a 2-tuple (words_index, mots_index).

__init__(words, mots, alignment=None)

property words

property mots

property alignment

invert()

Return the aligned sentence pair, reversing the directionality

Return type

AlignedSent