Statistical Machine Translation System for Indian Languages

摘要

Statistical Machine Translation (SMT) is a part of Natural Language Processing. This translates one language to another language. SMT consists of Language Model (LM), Translation Model (TM) and decoder. The decoder will make use of LM and TM to generate the translation. In this, probability of target language sentences is computed by LM, the given source sentence probability of the target sentence is computed by TM and maximizing the probability of translated text is done by Moses. English and Telugu parallel corpus have been used for training the system. Translation mainly depends on quality and quantity of corpus. In this, a model was proposed for translation of Telugu language to English language.