Abstract
In this paper, we will address term translation extraction from indexed aligned parallel corpora, by using a couple of association measures combined by a voting scheme, for scaling down translation pairs according to the degree of internal cohesiveness, and evaluate results obtained. Precision obtained is clearly much better than results obtained in related work for the very low range of occurrences we have dealt with, and compares with the best results obtained in word translation.
Research supported by FCT/MCTES, through Ph.D. scholarship, ref. SFRH/BD/48839/2008, and project VIP-Access, ref. PTDC/PLP/72142/2006.
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Aires, J., Lopes, G.P., Gomes, L. (2009). Phrase Translation Extraction from Aligned Parallel Corpora Using Suffix Arrays and Related Structures. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds) Progress in Artificial Intelligence. EPIA 2009. Lecture Notes in Computer Science(), vol 5816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04686-5_48
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DOI: https://doi.org/10.1007/978-3-642-04686-5_48
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