A Survey On Various Platforms For Sanskrit And Part Of...

A survey on various platforms for Sanskrit and Part-Of-Speech Tagging Methods Sulabh Bhatt, Parmar Krunal Department Of Computer Science, Gujarat University Ahmedabad, India sulabhbhatt@gmail.com parmar.krunal005@gmail.com Abstract - In this paper we present a Natural language processing for Sanskrit using Different approaches. Sanskrit is a oldest and considered as the mother of all languages. The Sanskrit, the world s ancient language has got a wealthy grammar. The Sanskrit grammar text Ashtadhyayi is written by Panini (an Indian Sage). Sanskrit is a well suitable language for providing an advanced artificial intelligence for Computers. Part of Speech (POS) Tagging is the first step in the development of any NLP Application. A POS Tagger (POST) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc. Keywords - NLP for Sanskrit, Tagset, POS Tagging, HMM, CRF I. INTRODUCTION Natural language processing: Natural language is the embodiment of human cognition and human intelligence. Natural language processing (NLP) is a cross disciplinary field in computer science and linguistics where a computer can generate and understand human speech. It is the ability of a computer program to understand human speech as it is spoken. NLP is a component of artificial intelligence (AI).The development of NLP applications is challenging because computers traditionally require humans to â€Å"speak†