A Survey on Statistical-based Parallel Corpus Alignment
Sulema Torres-Ramos, Raymundo E. Garay-Quezada · Research in Computing Science · 2015
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.