Semantic similarity measures for the development of Thai dialog system

Authors:
Khukrit Osathanunkul;James O'Shea;Zuhair Bandar;Keeley Crockett
Affiliations:
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom;Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom;Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom;Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom
Venue:
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Year:
2011

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Abstract

Semantic similarity plays an important role in a number of applications including information extraction, information retrieval, document clustering and ontology learning. Most work has concentrated on English and other European languages. However, for the Thai language, there has been no research about word semantic similarity. This paper presents an experiment and benchmark data sets investigating the application of a WordNet-based machine measure to Thai similarity. Because there is no functioning Thai WordNet we also investigate the use of English WordNet with machine translation of Thai words.