Paper: Example-Based Machine Translation Based On Syntactic Transfer With Statistical Models

ACL ID C04-1015
Title Example-Based Machine Translation Based On Syntactic Transfer With Statistical Models
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper presents example-based machine translation (MT) based on syntactic trans- fer, which selects the best translation by us- ing models of statistical machine translation. Example-based MT sometimes generates in- valid translations because it selects similar ex- amples to the input sentence based only on source language similarity. The method pro- posed in this paper selects the best transla- tion by using a language model and a trans- lation model in the same manner as statisti- cal MT, and it can improve MT quality over that of ‘pure’ example-based MT. A feature of this method is that the statistical models are applied after word re-ordering is achieved by syntactic transfer. This implies that MT quality is maintained even when we only ap- ply a lexicon model as the translatio...