English to Boushehri Machine Translation Using Hybrid Approach Rule Based System

The paper has presented a proposed system for machine translation of English Interrogative and Assertive sentences to their Boushehri counterpart. If -then method has been selected to choose the accurate rules for target language in translation that system taken all English sentences as an input and performed its lexical analysis using parser. Set of English and Boushehri Productive rules, training set and dictionary of both languages are developed to achieve the purpose.In this system, users gave English sentence as an input and the system tokenized the input in to the individual words, these words are tagged with their respective parts of speech and search part begins for the best match production rule of sentence to translate in target language.There are two main responses from system: if no match production rules found, the system added new rule to data base dynamically and another, if the production rule is partly matched, the system used word meaning for the remaining words.

Keywords:

Machine translation , NLP , lexical analysis , production rule , Hybrid Approach