In this work we propose a translation model for monolingual sentence retrieval. We propose four methods for constructing a parallel corpus. Of the four methods proposed, a lexicon learned from a bilingual ArabicEnglish corpus aligned at the sentence level performs best, significantly improving results over the query likelihood baseline. Further, we demonstrate that smoothing from the local context of the sentence improves retrieval over the query likelihood baseline.
REF propose a method for sentence retrieval but in a monolingual scenario.
A Translation Model For Sentence Retrieval
Human Language Technology Conference And Empirical Methods In Natural Language Processing
Computer Science