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Empirical Analysis of Context Sensitive Grammars and Parse Trees for Disambiguiting Telugu Language Sentences

Author

Listed:
  • Jinka Sreedhar
  • SK Althaf Hussain Basha
  • D. Praveen Kumar
  • A. Jagan
  • Baijnath Kaushik

Abstract

This research paper explores the impact of Context Sensitive Grammars (CSG) and Parse Trees for construction of a Telugu Language Sentences. Based on the CSG Rules here we derived the derivations for the respective strings. Later we constructed the Parser Trees for the above said strings. Finally we analysed whether the string is ambiguous or unambiguous. Here for analysis we considered the Large Scale Open Source Telugu carpus. The main aim of finding out these methods, is to find out solution to the problem of ambiguity in Telugu Language Sentences. Here designing of Context Sensitive Grammars Rules and Parse Trees are explained with examples.

Suggested Citation

  • Jinka Sreedhar & SK Althaf Hussain Basha & D. Praveen Kumar & A. Jagan & Baijnath Kaushik, 2017. "Empirical Analysis of Context Sensitive Grammars and Parse Trees for Disambiguiting Telugu Language Sentences," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 328-331, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174440
    Note: Article URL: https://ijsrcseit.com/CSEIT174440
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