LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 10 : 2 February 2010
ISSN 1930-2940

Managing Editor: M. S. Thirumalai, Ph.D.
Editors: B. Mallikarjun, Ph.D.
         Sam Mohanlal, Ph.D.
         B. A. Sharada, Ph.D.
         A. R. Fatihi, Ph.D.
         Lakhan Gusain, Ph.D.
         K. Karunakaran, Ph.D.
         Jennifer Marie Bayer, Ph.D.

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Automatic Nominal Morphological Recognizer and
Analyzer for Sanskrit: Method and Implementation

Subhash Chandra, M.Phil., Ph.D. Candidate

Abstract

The paper “Automatic Nominal Morphology Recognizer and Analyzer for Sanskrit: Method and Implementation” describes a system “Sanskrit Subanta Recognizer and Analyzer” developed for the degree of Master of Philosophy submitted to Special Centre for Sanskrit Studies (SCSS), Jawaharlal Nehru University (JNU) New Delhi .The system presents a model for Sanskrit nominal morphology (subanta) recognition and analysis (i.e. prakti-pratyaya vibhaga) for ordinary (laukika) Sanskrit texts. The authors while describing the components of this model also reported the research and development (R&D) done by author.

Keywords: Sanskrit Morphology, Sanskrit Noun Phrase Analyzer, Subanta Analyzer, Sanskrit Morphological System, Morphological Analysis Methods, Morphological Recognizer and Analyzer for Sanskrit, Sanskrit Noun Phrase, etc.

1. Introduction

Some of the highlights of the developed system are as follows –

    
  • It a Nominal Morphological for Sanskrit.
    • 
  • It is an online system available on http://sanskrit.jnu.ac.in/subanta/rsubanta.jsp. Therefore zero cost subanta analysis of Sanskrit text could be done by anyone anytime.
  •  Accept input in Unicode (UTF-8) Devnagari and Display in same format.
    • 
  • It uses databases for Sanskrit subanta avyaya and verbs.
    • 
  • It produced the vibhakti information as well as the subanta formulations of PaNini and later grammarians to parse a text for subanta.
    • 
  • It is delivered in a web format using the OOP techniques in Java and SQL server.
  • It can be used for M (A) T from Sanskrit to other languages.
    • 
  • It can be used for self-reading and understanding of Sanskrit words.
    • 
  • It is major part of Sanskrit Analysis tool.

This is only the beginning part of the article. PLEASE CLICK HERE TO READ THE ARTICLE IN PRINTER-FRIENDLY VERSION.

Compounds in Tolkappiyam and Balavyakaranam - A Comparison | Automatic Nominal Morphological Recognizer and Analyzer for Sanskrit: Method and Implementation | A Critical Study of The Wasteland - Poetry as Metaphor | Communicative Language Teaching - An Overview | Cinema and the New Media | Culture and Second Language Learning and Teaching - An Exploration in Tamil | R. K. Narayan's Humour in Swami and Friends | Towards Meeting Global Challenge - Cyber Based Instruction in Foreign Language Teaching | Novel Technologies, Engines and Mobiles in Language Learning | Role of Language in Effective Managerial Communication | Pragmatic Analysis of Politeness Theory | The Varied Horizon of Multimedia & Web Tools for English Language Acquisition in the Information Age | Challenges and Problems in the Teaching of Grammar | Some Features of Tirukkural Telugu Translations | Issues of Social and Ideological Empowerment in Contemporary Indian Women Writing in English | Does Stress-Shift Lead to Word-Class Conversion in English? | Insight through Body Language and Non-verbal Communication References in Tirukkural | Think-Aloud Protocol -- Elicitation of Strategy Use and Solution to Learning Problem | Voice of the Voiceless: Eugene O'Neill's The Hairy Ape and George Ryga's Indian - A Comparative Study | Inside the Haveli: A Study | HOME PAGE of February 2010 Issue | HOME PAGE | CONTACT EDITOR

Subhash Chandra, M. Phil., Ph.D. Candidate
NLP Group
Centre for Development of Advanced Computing (CDAC)
E-2/1, Block-GP, Sector-5, Salt Lake Electronics Complex
Kolkata-700091
West Bengal, India
subash@cdackolkata.in

 
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