Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation

We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine translation (SMT) than conventional static phrasal translation lexicons, which ignore all contextual information. After several years of surprising negative results, recent work suggests that context-dependent phrasal translation lexicons are an appropriate framework to successfully incorporate Word Sense Disambiguation (WSD) modeling into SMT. However, this approach has so far only been evaluated using automatic translation quality metrics, which are important, but aggregate many different factors. A direct analysis is still needed to understand how context-dependent phrasal translation lexicons impact translation quality, and whether the additional complexity they introduce is really necessary. In this paper, we focus on the impact of context-dependent translation lexicons on lexical choice in phrase-based SM...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Marine Carpuat, Dekai Wu
• Keywords: Context-dependent Phrasal Translation, Education, LREC 2008, Phrasal Translation Lexicons, Phrase-based Smt