Abstract
This work focuses on a hybrid machine translation system from Spanish into Catalan called SisHiTra. In particular, we focus on its word translation disambiguation module, which has to decide on the correct translation of each ambiguous input word in accordance with its context. We propose the use of statistical pattern recognition techniques for this task and, in particular, multinomial Naive Bayes text classifiers. Extensive empirical results on the use of these classifiers are presented, in which the influence of the window (context) size and parameter smoothing are carefully studied.
Work supported by the “Agència Valenciana de Ciència i Tecnologia” under grant GRUPOS03/031 and the Spanish project ITEFTE (TIC2003-08681-C02-02).
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Andrés, J., Navarro, J.R., Juan, A., Casacuberta, F. (2005). Word Translation Disambiguation Using Multinomial Classifiers. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_76
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DOI: https://doi.org/10.1007/11492542_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26154-4
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