nltk.translate.AlignedSent¶
- class nltk.translate.AlignedSent[source]¶
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
andmots
. Each alignment is represented as a 2-tuple (words_index, mots_index).
- property words¶
- property mots¶
- property alignment¶