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Resolving Malay Word Sense Disambiguation Utilizing Cross-Language Learning Sources Approach

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Ambiguity in Malay words is a huge issue in interpreting Malay language to different languages. Authors propose a Malay Word Sense Disambiguation (MalayWSD) to resolve ambiguous Malay words using cross-language learning sources such as AsianWordNet (AWN) and PrincetonWordNet (PWN). The MalayWSD is a semi-automated on non-particular area utilizing disambiguation systems, word structures and window sizes. The disambiguation methods incorporate vector, vector-pair, path and lesk. In this paper Malay words that have different meanings and part-of-speech are experimented. The results reveal that utilizing AWN with vector method and PWN with path procedure gives best exactness. In any case, for MalayWSD the time execution, the vector procedure with AWN at five window dimensions are acceptable.
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Keywords: Malay Words; Window Size; Word Forms; Word Sense Disambiguation; Wordnet

Document Type: Research Article

Affiliations: 1: Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Malaysia 2: Faculty of Computer and Information Technology, Al-Madinah International University, 40100 Shah Alam, Malaysia

Publication date: November 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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