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Methodology of Context Centered Term Indexing Style Intended For Hindi Language Document Summarization
Abstract
Document outline is beneficial since it will provide the summary of the initial document in an exceedingly shorter amount of your time. Document summarization largely uses the similarity between sentences within the document to extract the foremost salient sentences. The documents moreover because the sentences are indexed using ancient term indexing measures, that don't take the context into thought. Therefore, the sentence similarity values stay freelance of the context. The planned system consists of a context sensitive document compartmentalization model supported the Bernoulli model of randomness. The Bernoulli model of randomness has been accustomed notice the probability of the concurrences of 2 terms in passing big corpus. A replacement approach practice the lexical association between terms to relinquish a context sensitive weight to the document terms has been planned. The following compartmentalization weights are accustomed reason the sentence similarity matrix. The planned sentence similarity live has been used with the baseline graph-based ranking models for sentence extraction.
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References
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Amit kumar and Ramesh Kagalkar “Methodology for Translation of Sign Language into Textual Version in Marathi”, CiiT, International Journal of Digital Image Processing, Volume 07, No.08, Aug 2015.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Automatic Graph Based Clustering for Image Searching and Retrieval from Database”, CiiT Software Engineering and Technology, Vol 8, No 2, 2016.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Review Paper: Detail Study for Sign Language Recognition Techniques”, CiiT Digital Image Processing, Vol 8, No 3, 2016.
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Ramesh Kagalkar and Dr. Nagaraja H.N “New Methodology for Translation of Static Sign Symbol to Words in Kannada Language”,” International Journal of Computer Applications Volume 121, Page No 26-30,July-2015
Ramesh M. Kagalkar, Dr. Nagaraj H.N and Dr. S.V Gumaste,”A Novel Technical Approach for Implementing Static Hand Gesture Recognition”, International Journal of Advanced Research in Computer and Communication Engineering ISSN (Online) 2278-1021 ISSN (Print) 2319-5940 Vol. 4, Issue 7, July 2015.
Amit kumar and Ramesh Kagalkar “Advanced Marathi Sign Language Recognition using Computer Vision”, International Journal of Computer Applications (0975 – 8887) Volume 118 – No. 13, May 2015.
Amit kumar and Ramesh Kagalkar “Sign Language Recognition for Deaf User”, Internal Journal for Research in Applied Science and Engineering Technology, Volume 2 Issue XII, December 2014.
Amit kumar and Ramesh Kagalkar “Methodology for Translation of Sign Language into Textual Version in Marathi”, CiiT, International Journal of Digital Image Processing, Volume 07, No.08, Aug 2015.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Automatic Graph Based Clustering for Image Searching and Retrieval from Database”, CiiT Software Engineering and Technology, Vol 8, No 2, 2016.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Review Paper: Detail Study for Sign Language Recognition Techniques”, CiiT Digital Image Processing, Vol 8, No 3, 2016.
Swati Sargule, Ramesh M Kagalkar”Hindi Language Document Summarization using Context Based Indexing Model”, CiiT International Journal of Data Mining Knowledge Engineering, Vol.08 No. 01, Jan Issue 2016.
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