Paper: Statistical Phrase-Based Models For Interactive Computer-Assisted Translation

ACL ID P06-2107
Title Statistical Phrase-Based Models For Interactive Computer-Assisted Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

Obtaining high-quality machine transla- tions is still a long way off. A post- editing phase is required to improve the output of a machine translation system. An alternative is the so called computer- assisted translation. In this framework, a human translator interacts with the sys- tem in order to obtain high-quality trans- lations. A statistical phrase-based ap- proach to computer-assisted translation is described in this article. A new decoder al- gorithm for interactive search is also pre- sented, that combines monotone and non- monotone search. The system has been assessed in the TransType-2 project for the translation of several printer manuals, from (to) English to (from) Spanish, Ger- man and French.