Kernel Method for English to Kannada Transliteration

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.