We investigate the impact of parse quality on a syntactically-informed statistical machine translation system applied to technical text. We vary parse quality by varying the amoun...
Abstract. For many applications such as machine translation and bilingual information retrieval, the bilingual corpora play an important role in training the system. Because they a...
When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into gra...
This paper studies three techniques that improve the quality of N-best hypotheses through additional regeneration process. Unlike the multi-system consensus approach where multipl...
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...