Paper: Improving Domain-Specific Word Alignment For Computer Assisted Translation

ACL ID P04-3002
Title Improving Domain-Specific Word Alignment For Computer Assisted Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2004
Authors

This paper proposes an approach to improve word alignment in a specific domain, in which only a small-scale domain-specific corpus is available, by adapting the word alignment information in the general domain to the specific domain. This approach first trains two statistical word alignment models with the large-scale corpus in the general domain and the small-scale corpus in the specific domain respectively, and then improves the domain-specific word alignment with these two models. Experimental results show a significant improvement in terms of both alignment precision and recall. And the alignment results are applied in a computer assisted translation system to improve human translation efficiency.