Hidden Markov Model based Punjabi to English Machine Transliteration System

Abstract

Machine Translation is an ongoing research in area of natural language processing. To develop an accurate machine translation system there is a need of machine transliteration system also. This paper presents a hidden markov model based approach for Punjabi to English Machine Transliteration system. Our proposed system takes input written in Punjabi and transliterate into English (Roman script) preserving the phonetic structure of words. The overall accuracy of the proposed system is 90%.