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This chapter presents a method for the recovery of bilingual information based on semidiscrete matrix decomposition (SDD); that is, the problem of retrieving information in two languages, Spanish and English, is studied when the queries are made only in Spanish. In it, four case studies that exhibit the performance of the use of the latent semantic index (LSI) via SDD method for cross-language information retrieval (CLIR) are displayed. Concurrently, these results are compared with those obtained by applying LSI via singular value decomposition (SVD). All experiments were performed from a bilingual database, built from the gospels of the Bible, which combines documents in Spanish and English. For this, a fusion strategy was used that increases the size of the database by 10%. It was found that in terms of errors, the methods are comparable, since equal results were obtained in 58.3% of the queries made. In addition, the methods presented a success rate of at least 65% in the task of retrieving relevant information in the two languages considered.

Cross - Language Information Retrieval Using Two Methods: LSI via SDD and LSI via SVD