Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/2881
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWeerasinghe, A.R.en_US
dc.contributor.authorWasala, R.A.en_US
dc.contributor.authorGamage, K.N.en_US
dc.date.accessioned2014-11-13T08:52:51Z-
dc.date.available2014-11-13T08:52:51Z-
dc.date.issued2005-
dc.identifier.urihttp://repository.kln.ac.lk/jspui/handle/123456789/2881-
dc.description.abstractThis 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.en_US
dc.publisherLecture Notes in Computer Science/ IJCNLP: International Joint Conference on Natural Language Processingen_US
dc.subjectSinhalese language, Sri Lanka-
dc.subjectAlgorithms-
dc.subjectSyllabication-
dc.titleA Rule Based Syllabification Algorithm for Sinhala-
dc.typeArticleen_US
dc.identifier.departmentLinguisticsen_US
Appears in Collections:Linguistics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.