Machine Translation (MT) is widely considered among the most difficult tasks and applications in the area of Natural Language Processing (NLP) and Computational Linguistics (CL). MT is the method of translating text from source language to target language using computer. The main objective of this proposed research work is to develop Bodo to English machine translation system for enhancing the translation result of Bodo to English Statistical Machine Translation (SMT) System by taking their respective parallel corpus. Here a statistical machine translation engine Moses is used to train statistical models of text translation from source language to a target language. We also used IRSTLM tool to develop the language model and GIZA++ tool to align the words respectively.

Bodo Language, English Language, Machine translation, Moses, Corpus

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