Probabilistic Part-of-Speech Determination for Efficient English-Korean Machine Translation 


Vol. 17,  No. 6, pp. 459-466, Dec.  2010
10.3745/KIPSTB.2010.17.6.459


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  Abstract

Natural language processing has several ambiguity problems. and English-Korean machine translation especially includes those problems to be solved in each translation step. This paper focuses on resolving part-of-speech ambiguity of English words in order to improve the efficiency of English analysis. which is in part of efforts for developing practical English-Korean machine translation system In order to improve the efficiency of the English analysis. the part-of-speech determination must be fast and accurate for being integrated with machine translation system. This paper proposes the probabilistic models for part-of-speech determination, We use Penn Treebank corpus in building the probabilistic models, In experiment. we present the performance of the part-of-speech determination models and the efficiency improvement of the machine translation system by the proposed part-of-speech determination method.

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[IEEE Style]

S. D. Kim and L. M. Kim, "Probabilistic Part-of-Speech Determination for Efficient English-Korean Machine Translation," The KIPS Transactions:PartB , vol. 17, no. 6, pp. 459-466, 2010. DOI: 10.3745/KIPSTB.2010.17.6.459.

[ACM Style]

Sung Dong Kim and Ll Min Kim. 2010. Probabilistic Part-of-Speech Determination for Efficient English-Korean Machine Translation. The KIPS Transactions:PartB , 17, 6, (2010), 459-466. DOI: 10.3745/KIPSTB.2010.17.6.459.

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