Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages

We propose a novel language-independent approach for improving statistical machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. More precisely, we improve the translation from a resourcepoor source language X1 into a resourcerich language Y given a bi-text containing a limited number of parallel sentences for X1-Y and a larger bi-text for X2-Y for some resource-rich language X2 that

• Type: Journal
• Year: 2009
• Where: EMNLP
• Authors: Preslav Nakov, Hwee Tou Ng
• Keywords: EMNLP 2009, Natural Language Processing, Resource-rich Language, Resource-rich Ones, Statistical Machine Translation