Role of NLP in Indian Regional Languages

The NLP is closer for interfacing among the peoples knowing different languages. If we consider an example of India there are various peoples talking in various languages. Huge literature is available in different local languages which is not understandable to others in India itself. So we can use Information technology for Natural Language Processing. Natural language processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages; it began as a branch of artificial intelligence. In theory, natural language processing is a very attractive method of human-computer interaction. Natural language understanding is sometimes referred to as an AI-complete problem because it seems to require extensive knowledge about the outside world and the ability to manipulate it. Modern NLP algorithms are grounded in machine learning, especially statistical machine learning. Research into modern statistical NLP algorithms requires an understanding of a number of disparate fields, including linguistics, computer science, and statistics. In this paper we want to study on Role of NLP for Indian Language conversions, like Marathi to Hindi, Hindi to Gujarati etc. If we observe the different languages in India they look similar in different aspects like Grammar, Words, and Alphabets. This paper will discuss the solutions available, problems and challenges in Indian Language conversions.