Abstract
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic model is constructed by an unsupervised learning processing. For each probabilistic model, new words are recognized and their syllables are linked together. The syllable-linking process improves the accuracy of statistical functions which improves contrarily the new words recognition. Hence, the probabilistic model will converge to the optimum one.
Our experimented corpus is generated from about 250.000 online news articles, which consist of about 19.000.000 sentences. The accuracy of the segmented algorithm is over 90%. Our Vietnamese word and phrase dictionary contains more than 150.000 elements.
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References
Cao, X.H.: Vietnamese - Some Questions on Phonetics, Syntax and Semantics. Nxb Giao duc, Hanoi (2000)
Chu, M.N., Nghieu, V.Đ., Phien, H.T.: Cơ sở ngôn ngữ học và tiẽ́ng Việt. Nxb Giáo dục. Hanoi, pp. 142–152 (1997)
Dien, D., Kiem, H., Toan, N.V.: Vietnamese Word Segmentation. In: The Sixth Natural Language Processing Pacific Rim Symposium, Tokyo, Japan, pp. 749–756 (2001)
Giap, N.T.: Từ vựng học tiẽ́ng Việt. H., Nxb Giao duc (2003)
Thu, C.B., Hien, P.: Về một xu hướng mới của từ điển giải thích (2007), http://ngonngu.net/index.php?p=319
Ha, L.A.: A method for word segmentation in Vietnamese. In: Proceedings of Corpus Linguistics 2003, Lancaster, UK (2003)
Le, H.P., Nguyen, T.M.H., Roussanaly, A., Ho, T.V.: A hybrid approach to word segmentation of Vietnamese texts. In: Martín-Vide, C., Otto, F., Fernau, H. (eds.) LATA 2008. LNCS, vol. 5196, pp. 240–249. Springer, Heidelberg (2008)
Nguyen, C.T., Nguyen, T.K., Phan, X.H., Nguyen, L.M., Ha, Q.T.: Vietnamese word segmentationwith CRFs and SVMs: An investigation. In: Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation (PACLIC 2006), Wuhan, CH (2006)
Nguyen, T.V., Tran, H.K., Nguyen, T.T.T., Nguyen, H.: Word segmentation for Vietnamese text categorization: an online corpus approach. In: Research, Innovation and Vision for the Future, The 4th International Conference on Computer Sciences (2006)
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Le Trung, H., Le Anh, V., Le Trung, K. (2010). An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12101-2_21
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DOI: https://doi.org/10.1007/978-3-642-12101-2_21
Publisher Name: Springer, Berlin, Heidelberg
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