MAKING OF A SANSKRIT WORDNET,S. Mohanty,K. P. Das Adhikary,P. K. Santi,S. N. Nayak

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Sanskrit language is the base for most of the Indian languages. It has link with foreign languages too. To study this language and also to use it for knowledge enhancement, effective Machine Translation (MT) from one language to the other is necessary for which online lexical resources are needed. Towards making such resources we have tried to develop a Word-Net for Sanskrit language using the Navya-NyAya (xÉ´ªÉxªÉɪÉ) Philosophy and Paninian grammar. The architecture of this "Sanskrit Word-Net" is described in the paper. Besides Synonymy, Antonymy, Hypernymy, Hyponymy, Holonymy and Meronymy we have also discussed on Etymology and Analogy separately as they play important roles in Navya-NyAya (xÉ´ªÉxªÉɪÉ) Philosophy which is the specialty on this Sanskrit Word-Net for a better classification of words. I. INTRODUCTION: Sanskrit language is the Oriental Language of India. In due course the influence of languages like Prakrit, Pali and other foreign languages has resulted changes from Sanskrit to appear in the present form of different Indian Languages. The systematic and technically sound grammar of Sanskrit yet plays an important role in all Indian Languages. Besides, the Veda ù( ´Éän ), VedAnta (´ÉänùÉxiÉ) and Upanishhads (={ÉÊxɹÉnÂù) are also written in Sanskrit, which are yet to reach the scholars of the world. Though strongly desired but it is quite difficult to access the language. Keeping this in mind, here is an attempt to provide a tool named "Sanskrit Word-Net" hereafter known as "SanskritNet" which can be referred by users of any category to have an access to Sanskrit language and thus to the rich heritage and culture of India. Using it as the base, communication from one language to other can be done effectively for Indian Languages. Some of the foreign languages having link with this language may be benefited from this Word-Net. Thus this tool can provide a bridge between these languages. Lexical information of a word can be obtained from the dictionary of respective language. But the role of a word in Natural Language Processing (NLP) needs more explicit analysis towards its use in the language, which can be handled by developing an online lexical database for computational analysis of any word in terms of its origin, classification and use etc. Hence, it is necessary to be more explicit, since the use of such lexicon will be applicable to any kind of users including beginners. The wider conception or invention of a generalization in connection to the reorganization of lexicon has been introduced here for a proper use in computer.
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