Sequence Labeling for Two Word Disambiguation in Telugu Language Sentences

Authors

  • Jinka Sreedhar  Department of Computer Science and Engineering B.V.Raju Institute of Technology, Narsapur, Telangana, India
  • A. Jagan  Department of Computer Science and Engineering B.V.Raju Institute of Technology, Narsapur, Telangana, India
  • SK Althaf Hussain Basha   Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technoloy,Hyderabad, India
  • Baijnath Kaushik  Department of Computer Science and Engineering Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
  • D. Praveen Kumar  Department of Computer Science and Engineering Institute of Technology, Dhanbad, Jharkhand, India

Keywords:

Natural Language Processing(NLP),Information Retrieval Systems(IRS), MachineTranslation(MT), Finite Automata(FA), Two-Words disambiguation rules.

Abstract

This paper is intended to apply sequence labelings which are introduced to find out the ambiguity in two-words. These words appear to give rise to ambiguity. They seem to be sequence words and this method can be applied only to these types of words. There is another theory of automata which is a mathematical model. By implementing this model to disambiguate the words of sequence it is found there is a kind of mathematical accuracy equal to that of sequence labeling method. The main aim of finding out these methods, is to find out solution to the problem of ambiguity in two-words sequences. Here designing of automata theory for two-words is dealt with the Two-Words disambiguation rules are explained with examples.

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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, A. Jagan, SK Althaf Hussain Basha , Baijnath Kaushik, D. Praveen Kumar, " Sequence Labeling for Two Word Disambiguation in Telugu Language Sentences, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.323-327, September-2017.