Statistical machine translation

Lecture “Natural language processing – Chapter 5: Foundation of statistical machine translation” has contents: Introduction to statistical machine translation, statistical MT systems, three problems in statistical MT systems, translation model, and other contents.

12p dien_vi01 21-11-2018 21 0   Download

In the past, we presented tutorials called “Introduction to Statistical Machine Translation”, aimed at people who know little or nothing about the field and want to get acquainted with the basic concepts. This tutorial, by contrast, goes more deeply into selected topics of intense current interest. We aim at two types of participants: 1. People who understand the basic idea of statistical machine translation and want to get a survey of hot-topic current research, in terms that they can understand. 2.

1p hongphan_1 15-04-2013 64 3   Download

We describe Joshua (Li et al., 2009a)1 , an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronous context free grammars (SCFGs): chart-parsing, n-gram language model integration, beam- and cubepruning, and k-best extraction. The toolkit also implements suffix-array grammar extraction and minimum error rate training. It uses parallel and distributed computing techniques for scalability.

4p hongphan_1 15-04-2013 48 2   Download