Paper: Modeling Term Translation for Document-informed Machine Translation

ACL ID D14-1060
Title Modeling Term Translation for Document-informed Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Term translation is of great importance for statistical machine translation (SMT), es- pecially document-informed SMT. In this paper, we investigate three issues of term translation in the context of document- informed SMT and propose three cor- responding models: (a) a term trans- lation disambiguation model which se- lects desirable translations for terms in the source language with domain information, (b) a term translation consistency model that encourages consistent translations for terms with a high strength of translation consistency throughout a document, and (c) a term bracketing model that rewards translation hypotheses where bracketable source terms are translated as a whole unit. We integrate the three models into hierarchical phrase-based SMT and eval- uate their effectiveness...