Review of Machine Translation Techniques for Idea of Hindi to English Idiom Translation

摘要

In past few years, we have witnessed several significant advancements in Natural Language Processing , which has let text and speech processing to make huge gateway to world-wide information source[l] .The paper focuses on the techniques and approaches like corpus-based, rule-based, direct and hybrid approach [2] [3] used for machine translation systems together with their example systems, problems during translation which majorly includes-structural divergence, ambiguities like phase level-idiom translation and word level ambiguity, non-standard language, named entities etc., benefits and limitations of machine translation. Together with this it also shed light on problems with idiom translations as it is a very important part of any language. Many significant machine translation systems are briefly discussed.