Hybrid-Statistical Machine Translation From English to Hindi

The fundamental aim of this paper is to take a fragment written in English and translate it in Hindi language by the use of statistical and rule based approach that represents an accurate translation of the original sentence. An n-gram based language model, i.e. a type of probabilistic model, is combined with the syntax based translation model that includes the parsing using CYK algorithm and word alignment by IBM models. In this method, tree frame is basically used as statistical model which is then combined with some linguistically motivated reordering rules to improve the lexical analysis system accuracy. Results are presented according to translation accuracy and efficiency.