NLP : Context Free Grammars and Parse Trees for Disambiguiting Telugu Language Sentences

Authors

  • Jinka Sreedhar  Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technoloy, Hyderabad, India
  • Dr. Sk Althaf Hussain Basha  Professor and Vice Principal, Department of Computer Science and Engineering, A1GIET, Markapur, Andhra Pradesh, India
  • D. Praveen Kumar  Department of Computer Science and Engineering Indian Institute of Technology, Dhanbad, Jharkhand, India
  • A. Jagan  Department of Computer Science and Engineering, B.V.Raju Institute of Technology, Narsapur, Telangana, India
  • Baijnath Kaushik  Department of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India

Keywords:

CFG, Parse Trees, Derivations, Telugu Corpus

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-09-30

Issue

Volume 2, Issue 7, September-2017

Section

Research Articles

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How to Cite

[1]
Jinka Sreedhar, Dr. Sk Althaf Hussain Basha, D. Praveen Kumar, A. Jagan, Baijnath Kaushik, " NLP : Context Free Grammars and Parse Trees for Disambiguiting Telugu Language Sentences" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.332-337, September-2017.