New Multilingual Information Retrieval Model Based on Latent Interlingua Semantics
In this paper,we try to exploit parallel documents in the bilingual corpus in the unified framework,so as to extract latent semantic correspondences between the languages,and to retrieve information in a resulting latent interlingua semantic space.Cross-language information can be retrieved using such a space.To this end,we built a Chinese-English parallel corpus and used an English-French parallel corpus from the University of Montreal,which are exploited to perform Chinese,English and French trilingual cross-language information retrieval on TREC59 and SDA data sets.Our experiments show that the method can produce good results.