Explanation-based Learning for Machine Translation
计算与语言
2007-05-23 v1
摘要
In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate closed captions. We discuss the efficiency/coverage trade-offs available in EBL and introduce the techniques we use to increase coverage while maintaining a high level of space and time efficiency. Our performance results indicate that this approach is effective.
引用
@article{arxiv.cs/9907008,
title = {Explanation-based Learning for Machine Translation},
author = {Janine Toole and Fred Popowich and Devlan Nicholson and Davide Turcato and Paul McFetridge},
journal= {arXiv preprint arXiv:cs/9907008},
year = {2007}
}
备注
12 pages, 3 figures, To appear in Proceedings of the 8th International Conference on Theoretical and Methodological Issues in Machine Translation