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

被引：3

作者：

Yahaya, Fuad ^{[1
]}

Abd Rahman, Nurazzah ^{[1
]}

Abu Bakar, Zainab ^{[2
]}

机构：

[1] Univ Teknol MARA, Fac Comp & Math Sci, Shah Alam 40450, Malaysia

[2] Al Madinah Int Univ, Fac Comp & Informat Technol, Shah Alam 40100, Malaysia

来源：

ADVANCED SCIENCE LETTERS | 2017年 / 23卷 / 11期

关键词：

Wordnet; Word Sense Disambiguation; Word Forms; Window Size; Malay Words;

D O I：

10.1166/asl.2017.10275

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：11320 / 11324

页数：5

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