Paper: A Translation Model For Sentence Retrieval

ACL ID H05-1086
Title A Translation Model For Sentence Retrieval
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005

In this work we propose a transla- tion model for monolingual sentence retrieval. We propose four methods for constructing a parallel corpus. Of the four methods proposed, a lexi- con learned from a bilingual Arabic- English corpus aligned at the sentence level performs best, significantly im- proving results over the query likeli- hood baseline. Further, we demon- strate that smoothing from the local context of the sentence improves re- trieval over the query likelihood base- line.