A Survey on Statistical-based Parallel Corpus Alignment

The text alignment is an important process of different Machine Translation systems. This task consists in identifying correspondences between words, sentences or paragraphs of a source text and their translation (parallel corpus). There are two main approaches to perform parallel corpus alignment: the statistical-based methods and lexical-based methods. In this paper, the main statistical-based methods for align parallel corpus are presented.