Machine translation model

The purpose of this thesis is to propose two models for using cross-lingual word embedding models to address the above impediment. The first model enhances the quality of the phrase-table in SMT, and the remaining model tackles the unknown word problem in NMT.

14p tamynhan0 04-07-2020 27 3   Download

The purpose of this thesis is to propose two models for using cross-lingual word embedding models to address the above impediment. The first model enhances the quality of the phrase-table in SMT, and the remaining model tackles the unknown word problem in NMT.

54p tamynhan0 04-07-2020 16 5   Download

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

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 46 2   Download