Greek Language Essay
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
[email protected] [email protected]
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 "speak"
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