A rule based syllabification algorithm for sinhala

Authors:
Ruvan Weerasinghe;Asanka Wasala;Kumudu Gamage
Affiliations:
Language Technology Research Laboratory, University of Colombo School of Computing, Colombo 7, Sri Lanka;Language Technology Research Laboratory, University of Colombo School of Computing, Colombo 7, Sri Lanka;Language Technology Research Laboratory, University of Colombo School of Computing, Colombo 7, Sri Lanka
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

This paper presents a study of Sinhala syllable structure and an algorithm for identifying syllables in Sinhala words. After a thorough study of the Syllable structure and linguistic rules for syllabification of Sinhala words and a survey of the relevant literature, a set of rules was identified and implemented as a simple, easy-to-implement algorithm. The algorithm was tested using 30,000 distinct words obtained from a corpus and compared with the same words manually syllabified. The algorithm performs with 99.95 % accuracy.