Kernel Method for English to Kannada Transliteration
Publication Type:Conference Paper
Source:Recent Trends in Information, Telecommunication and Computing (ITC), 2010 International Conference on, IEEE, Kochi, Kerala, p.336-338 (2010)
Language transliteration is one of the important area in natural language processing. Accurate transliteration of named entities plays an important role in the performance of machine translation and cross-language information retrieval processes. The transliteration model must be design in such a way that the phonetic structure of words should be preserve as closely as possible. This paper addresses the problem of transliterating English to Kannada language using a publicly available structured output Support Vector Machines (SVM). The proposed transliteration scheme uses sequence labeling method to model the transliteration problem. This transliteration technique was demonstrated for English to Kannada Transliteration and achieved exact Kannada transliterations for 87.28% of English names.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@78da267c ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3a14d4e0 Through org.apache.xalan.xsltc.dom.DOMAdapter@2da3dbea; Conference Code:80503