This paper presents a survey of Machine translation system for Indian Regional languages. Machine translation is one of the central areas of Natural language processing (NLP). Machine translation (henceforth referred as MT) is important for breaking the language barrier and facilitating inter-lingual communication. For a multilingual country like INDIA which is largest democratic country in whole world, there is a big requirement of automatic machine translation system. With the advent of Information Technology many documents and web pages are coming up in a local language so there is a large need of good MT systems to address all these issues in order to establish a proper communication between states and union governments to exchange information amongst the people of different states. This paper focuses on different Machine translation projects done in India along with their features and domain.

This paper presents a design for rule-based machine translation system for English to Marathi language pair. The machine translation system will take input script as English sentence and parse with the help of Stanford parser. The Stanford parser will be used for main purposes on the source side processing, in the machine translation system. English to Marathi Bilingual dictionary is going to be created. The system will take the parsed output and separate the source text word by word and searches for their corresponding target words in the bilingual dictionary. The hand coded rules are written for Marathi inflections and also reordering rules are there. After applying the reordering rules, English sentence will be syntactically reordered to suit Marathi language.

No abstract