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NLP : Context Free 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

Several studies have explained the benefits of using Context Free Grammars(CFGs) of derivations and Parse Trees to reduce the ambiguity in Natural Language Sentences. However, these benefits are dependent on the CFG Rules and Derivation steps. This research paper explains the power of CFGs and Parse Trees for construction of a Telugu Language Sentences. Based on the CFG 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 we considered the Large Scale Open Source Telugu carpus for analysis.

Suggested Citation

  • Jinka Sreedhar & Sk Althaf Hussain Basha & D. Praveen Kumar & A. Jagan & Baijnath Kaushik, 2017. "NLP : Context Free 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 332-337, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174441
    Note: Article URL: https://ijsrcseit.com/CSEIT174441
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