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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(6): 428-433 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.997

TH_WSD: Thai Word Sense Disambiguation Using Cross-Language Knowledge Sources Approach

J. L. Mitrpanont and P. Chongcharoen
Abstract—The ambiguity in Thai Word is still a significant issue in translating Thai language to English. This paper presents the TH_WSD, a framework for Thai word ambiguous resolution using cross-language knowledge sources of AsianWordNet (AWN) and PrincetonWordNet (PWN) for lexical and word sense explorers. A semi-automated Thai WSD approach for non-specific domain using four disambiguation techniques, word forms, and even window sizes is proposed. The disambiguation techniques include path, vector, vector_pair and lesk. The 250 context words from four target words group which are วัด (wat), หัว (hua), เก็บ (kep) and เกาะ (koh) from bi-text corpora of SEAlang and Concordance are studied. The experimental results show that using AWN with vector technique and PWN with path technique provides better accuracy. However, for Thai WSD included time consideration, the vector technique with AWN at five window size is suitable.

Index Terms—Natural language processing, word sense disambiguation, Wordnet, cross-language, AseanWordNet.

The authors are with the Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (e-mail: jarernsri.mit@mahidol.ac.th, premchai@bangkok.go.th).


Cite:J. L. Mitrpanont and P. Chongcharoen, "TH_WSD: Thai Word Sense Disambiguation Using Cross-Language Knowledge Sources Approach," International Journal of Computer Theory and Engineering vol. 7, no. 6, pp. 428-433, 2015.

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