Summary of Computer science master thesis: Enhancing the quality of machine translation system using cross lingual word embedding models

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.