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

Authors(1) :-a

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.

Authors and Affiliations

Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technoloy,Hyderabad, India

CFG, Parse Trees, Derivations, Telugu Corpus

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 332-337
Manuscript Number : CSEIT174441
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

a, "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.
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