Word Sense Disambiguation in Statistical Machine Translation
D. Kolovratn ́ ik · 2008
In this article a fast research into applications of Word Sense Dis- ambiguation (WSD) in the machine translation (MT) is reported. The topic was chosen on author's own experiences with MT output. It suers from many prob- lems. Faulted syntax constraints, not translated words and inappropriate lexical equivalent choice seems to be the most disturbing. The first problem usually occurs if the constraint should be used on distant words. Since the equivalent choice in MT is a topic of my PhD. study, I focus on the last mentioned problem. I hope that integrating WSD module into the right place in phrasal SMT will help. I summarize reported results that I have taken up with. Some of them demonstrate that MT benefits from WSD module, others show that the influence may even be negative. The main reported idea is that WSD method may improve MT when integrated properly.