Publication

Abstract : Machine Transliteration is an automatic process of transcribing a word or text written in one writing system into phonetically equivalent word in another writing system. Transliteration of proper nouns and technical terms is a significant problem in many multi-lingual text and speech processing applications. Machine translation and cross language information retrieval are always in need of efficient mechanisms for machine transliteration especially when proper names and technical terms are involved. The performance of machine translation and cross-language information retrieval depends extremely on accurate transliteration of named entities. Hence the goal of transliteration model is to preserve the phonetic structure of words as closely as possible. In this paper, the transliteration problem is reformulated as classification problem and is modeled using one class Support Vector Machine.