CLIR- and ontology-based approach for bilingual extraction of comparable documents
Résumé
The exploitation of comparable corpora has proven to be a valuable alternative to rare parallel corpora in various Natural Language Processing tasks. Therefore many researchers have stressed the need for large quantities of such corpora and the scarcity of works on their compilation. This paper describes a CLIR-based method for automatic extraction of French-English comparable documents. At the start of the process, source documents are translated and most representative terms are extracted. The resulting keyword list is further enlarged with synonyms on the assumption that keyword expansion might improve the retrieval of such documents. Retrieval is performed on the indexed target collection and a further filtering step based mainly on temporal information and document length takes place. Preliminary results suggest that the employment of ontology could improve the performance of the system.
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