Paper: Word-Sense Disambiguation For Machine Translation

ACL ID H05-1097
Title Word-Sense Disambiguation For Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

In word sense disambiguation, a system attempts to determine the sense of a word from contextual fea- tures. Major barriers to building a high-performing word sense disambiguation system include the dif- ficulty of labeling data for this task and of pre- dicting fine-grained sense distinctions. These is- sues stem partly from the fact that the task is be- ing treated in isolation from possible uses of au- tomatically disambiguated data. In this paper, we consider the related task of word translation, where we wish to determine the correct translation of a word from context. We can use parallel language corpora as a large supply of partially labeled data for this task. We present algorithms for solving the word translation problem and demonstrate a signif- icant improvement over a baseline ...