Sequence Labeling for Three Word Disambiguation in Telugu Language Sentences

Authors(4) :-Jinka Sreedhar, Suresh Dara, Baijnath Kaushik, SK Althaf Hussain Basha

This paper is intended to apply sequence labelings which are introduced to find out the ambiguity in three-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 three-words sequences. Here designing of automata theory for three-words is dealt with the Three-Words disambiguation rules are explained with examples.

Authors and Affiliations

Jinka Sreedhar
Department of Computer Science and Engineering B.V.Raju Institute of Technology, Narsapur, Telangana, India
Suresh Dara
Department of Computer Science and Engineering Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
Baijnath Kaushik
Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technoloy, Hyderabad, India
SK Althaf Hussain Basha

Natural Language Processing(NLP),Information Retrieval Systems(IRS), Machine Translation(MT), Finite Automata(FA).

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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) : 311-315
Manuscript Number : CSEIT174437
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jinka Sreedhar, Suresh Dara, Baijnath Kaushik, SK Althaf Hussain Basha, "Sequence Labeling for Three Word Disambiguation in Telugu Language Sentences", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.311-315, September-2017.
Journal URL : http://ijsrcseit.com/CSEIT174437

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