Query translation architecture for Malay-English cross-language information retrieval system

Citation

Rais, Nurjannaton Hidayah and Abdullah, Muhamad Taufik and Abdul Kadir, Rabiah (2010) Query translation architecture for Malay-English cross-language information retrieval system. In: International Symposium on Information Technology (ITSim'10), 15-17 June 2010, Kuala Lumpur Convention Centre, Kuala Lumpur. (pp. 990-993).

Abstract

This paper discusses research on query translation events in Malay-English Cross-Language Information Retrieval (CLIR) system. We assume that by improving query translation accuracy, we can improve the information retrieval performance. The dictionary-based CLIR system facing three main problems: translation ambiguity; compound and phrase handling and proper names translation. The use of natural language processing (NLP) techniques, such as stemming, Part-of-Speech (POS) tagging is useful in query translation process. Hence, n-gram matching technique has successfully applied to information retrieval (IR) system for phrases and proper names translation. The proposed query translation architecture consist of stemming, Part-of-Speech (POS) tagging and n-gram matching techniques is useful in CLIR system as well as search engine application.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ITSIM.2010.5561589
Publisher:	IEEE
Keywords:	Component; Cross-language information retrieval; N-gram matching; Part-of-Speech (POS) tagging; Query ambiguity; Query translation
Depositing User:	Nabilah Mustapa
Date Deposited:	04 Aug 2016 07:10
Last Modified:	27 May 2019 02:38
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ITSIM.2010.5561589
URI:	http://psasir.upm.edu.my/id/eprint/48228
Statistic Details:	View Download Statistic

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