Natural Language Processing For Indian Languages

The main objective of this book is to bring out a survey on different developments in computational linguistics tools and machine translation systems for Indian languages. Additionally, it discusses briefly the different existing approaches that have been used to develop various computational linguistics tools and machine translation systems. Literature survey shows that, the NLP though growing rapidly, it is still an immature area in Indian languages. Indian languages are highly agglutinative and rich morphological in nature. Syntactic and semantic variance is another reason that makes NLP is much harder for Indian languages. Literature reveals that the rule based grammar refinement process is extremely time consuming and difficult. Hence, most modern NLP developments are based on statistical or at least partly statistical, which allows the system to gather information about the frequency with which various constructions occur in specific contexts.

Auteur

Antony P J has more than 15 years experience in academics and research. His main research area is Natural language Processing (NLP) and he published many research articles in international conferences and journals. He has been the part of NLP research project Creation of Machine Translation tools for English to Dravidian languages funded by MHRD.