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Authors: Norshuhani Zamin 1 and Zainab Abu Bakar 2

Affiliations: 1 Universiti Teknologi PETRONAS, Malaysia ; 2 Universiti Teknologi MARA, Malaysia

ISBN: 978-989-758-074-1

Keyword(s): Annotation Projection, Part-of-Speech Tagging, Malay Corpus, Dice Coefficient, Bigram Similarity.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems

Abstract: Cross-lingual annotation projection methods can benefit from rich-resourced languages to improve the performance of Natural Language Processing (NLP) tasks in less-resourced languages. In this research, Malay is experimented as the less-resourced language and English is experimented as the rich-resourced language. The research is proposed to reduce the deadlock in Malay computational linguistic research due to the shortage of Malay tools and annotated corpus by exploiting state-of-the-art English tools. This paper proposed a cross-lingual annotation projection based on word alignment of two languages with syntactical differences. A word alignment method known as MEWA (Malay-English Word Aligner) that integrates a Dice Coefficient and bigram string similarity measure is proposed. MEWA is experimented to automatically induced annotations using a Malay test collection on terrorism and an identified English tool. In the POS annotation projection experiment, the algorithm achieved accuracy rate of 79%. (More)

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Paper citation in several formats:
Zamin, N. and Abu Bakar, Z. (2015). A Cross-lingual Part-of-Speech Tagging for Malay Language.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-074-1, pages 232-240. DOI: 10.5220/0005150602320240

@conference{icaart15,
author={Norshuhani Zamin. and Zainab Abu Bakar.},
title={A Cross-lingual Part-of-Speech Tagging for Malay Language},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={232-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005150602320240},
isbn={978-989-758-074-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A Cross-lingual Part-of-Speech Tagging for Malay Language
SN - 978-989-758-074-1
AU - Zamin, N.
AU - Abu Bakar, Z.
PY - 2015
SP - 232
EP - 240
DO - 10.5220/0005150602320240

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