nltk.translate.api.AlignedSent

class documentation

class AlignedSent(object): (source)

Constructor: AlignedSent(words, mots, alignment)

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	Words in the target language sentence
mots	Words in the source language sentence
alignment	Word-level alignments between `words` and `mots`. Each alignment is represented as a 2-tuple (words_index, mots_index).

Method	`__init__`	Undocumented
Method	`__repr__`	Return a string representation for this `AlignedSent`.
Method	`__str__`	Return a human-readable string representation for this `AlignedSent`.
Method	`invert`	Return the aligned sentence pair, reversing the directionality
Instance Variable	`alignment`	Undocumented
Property	`mots`	Undocumented
Property	`words`	Undocumented
Method	`_get_alignment`	Undocumented
Method	`_repr_svg_`	Ipython magic : show SVG representation of this `AlignedSent`.
Method	`_set_alignment`	Undocumented
Method	`_to_dot`	Dot representation of the aligned sentence
Instance Variable	`_alignment`	Undocumented
Instance Variable	`_mots`	Undocumented
Instance Variable	`_words`	Undocumented