A Probabilistic Model Based on n-Grams for Bilingual Word Sense Disambiguation

Author:

Vilariño Darnes,Pinto David,Tovar Mireya,Balderas Carlos,Beltrán Beatriz

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Aguirre, E., Edmonds, P.: Word Sense Disambiguation, Text, Speech and Language Technology. Springer, Heidelberg (2006)

2. Chan, Y., Ng, H., Chiang, D.: Word sense disambiguation improves statistical machine translation. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 33–40 (2007)

3. Carpuat, M., Wu, D.: Improving statistical machine translation using word sense disambiguation. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLPCoNLL), pp. 61–72 (2007)

4. Florian, R., Yarowsky, D.: Modeling consensus: Classifier combination for word sense disambiguation. In: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, pp. 25–32 (2002)

5. Lee, Y.K., Ng, H.T.: An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation. In: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, pp. 41–48 (2002)

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