In this paper we present a report on our participation in the CLEF 2007 Chinese-English ad hoc bilingual track. We discuss a disambiguation strategy which employs a modified co-occurrence model to determine the most appropriate translation for a given query. This strategy is used alongside a pattern-based translation extraction method which addresses the 'unknown term' translation problem. Experimental results demonstrate that a combination of these two techniques substantially improves retrieval effectiveness when compared to various baseline systems that employ basic co-occurrence measures with no provision for out-of-vocabulary terms. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zhou, D., Truran, M., & Brailsford, T. (2008). Disambiguation and unknown term translation in cross language information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 64–71). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_8
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