Sentence level of parallel texts

Link: https://github.com/rsennrich/Bleualign

Intro: Bleualign is a tool to align parallel texts (i.e. a text and its translation) on a sentence level. Additionally to the source and target text, Bleualign requires an automatic translation of at least one of the texts. The alignment is then performed on the basis of the similarity (modified BLEU score) between the source text sentences (translated into the target language) and the target text sentences

YALIGN

Link: http://yalign.machinalis.com/

Intro: Statistical Machine Translation relies on parallel corpora for training translation models. However these corpora are limited and take time to create. Yalign is designed to automate this process by finding sentences that are close translation matches from comparable corpora. This opens up avenues for harvesting parallel corpora from sources like translated documents and the web.

Champollion Tool Kit - Text Sentence Aligner

Link: http://champollion.sourceforge.net/

Intro: Built around LDC's champollion sentence aligner kernel, Champollion Tool Kit (CTK) aims to providing ready-to-use parallel text sentence alignment tools for as many language pairs as possible.

Champollion depends heavily on lexical information, but uses sentence length information as well. A translation lexicon is required. Past experiments indicate that champollion's performance improves as the translation lexicon become larger.

Bilingual Sentence Aligner

Tool by Microsoft

hunalign – sentence aligner

http://mokk.bme.hu/resources/hunalign/

Intro

hunalign aligns bilingual text on the sentence level. Its input is tokenized and sentence-segmented text in two languages. In the simplest case, its output is a sequence of bilingual sentence pairs (bisentences).

In the presence of a dictionary, hunalign uses it, combining this information with Gale-Church sentence-length information. In the absence of a dictionary, it first falls back to sentence-length information, and then builds an automatic dictionary based on this alignment. Then it realigns the text in a second pass, using the automatic dictionary.

Like most sentence aligners, hunalign does not deal with changes of sentence order: it is unable to come up with crossing alignments, i.e., segments A and B in one language corresponding to segments B’ A’ in the other language.

There is nothing Hungarian-specific in hunalign, the name simply reflects the fact that it is part of the hun* NLP toolchain.

hunalign was written in portable C++. It can be built under basically any kind of operating system.