Divergence: A Challenge in Example Based Machine Translation

Abstract

There has been a tremendous development in the field of natural language processing in past ten years. Similarly field of machine learning has grown evolving various trends in helping humans with translation. This paper gives brief description about machine translation and also proposes work for modifying and giving more fruitful result in the translation of text. The idea how text generated will be more appropriate for the entered input text. Divergence occurred in the translation is the most common challenge in today’s translators. The paper gives the idea how this challenge can be overcome by using some aids. The translation is to be worked on English and Hindi machine translation.