Automatic 3-language cross-language information retrieval with latent semantic indexing
Bob Rehder, Michael L. Littman, Susan Dumais, Thomas K. Landauer · 1997
This paper describes cross-language informationretrieval experiments carried out for TREC-6. Our retrieval method, cross-language latent semantic indexing (CL-LSI), is completely automatic and we were able to use it to create a 3-way EnglishFrench -German IR system. This study extends our previous work in terms of the large size of training and testing corpora, the use of low-quality training data, the evaluation using relevance judgments, and the number of languages analyzed. Introduction Cross-language LSI (CL-LSI) is a fully automatic method for cross-language document retrieval in which no query translation is required. Queries in one language can retrieve documents in other languages (as well as the original language). This is accomplished by a method that automatically constructs a multi-lingual semantic space using latent semantic indexing (LSI); this semantic space is exploited in the form of a vector lexicon, which assigns each word in each language to a point in the high-dim...