Graph based Word Sense Disambiguation for Gujarati

Authors

  • Manali Parekh G.H Patel college of engineering and technology
  • Prem Balani G.H Patel College of Engineering and Technology
  • Deven Gol G.H Patel College of Engineering and Technology

DOI:

https://doi.org/10.37591/joarb.v5i2.1643

Abstract

Due to high Semantic Ambiguity that is associated with language, Word Sense Disambiguation is an open problem of Natural Language Processing and Ontology in Computer Linguistics. For instance, the Gujarati word પુવૅ (Purva) can mean East and Past. The task of automatically assigning the most suitable meaning to a polysemous word can be defined as Word Sense Disambiguation. Several approaches have been done, from Dictionary-and Knowledge-based method that uses Lexical resource like WordNet, to Supervised-Machine learning method that use trained classifier on manually sense-annotated corpus, to cluster based unsupervised methods. In this approaches knowledge based approach  is suffer from knowledge acquisition bottleneck problem, While Supervised approach requires large amount of manually sense tagged corpora which are highly expensive and need human resource. These approaches have been applied for several languages like English, French, German, Chinese, and some Indian languages like Hindi, Marathi, Assamese, Malayalam, however research on Word Sense Disambiguation for Gujarati language is relatively limited. There for we have proposed Unsupervised Graph based Word Sense Disambiguation for Gujarati where Indo WordNet for Guajarati is used as lexical database for WSD.

Keywords: Word sense disambiguation, natural language processing, ambiguity, WordNet

Cite this Article
Manali Parekh, Prem Balani, Deven Gol,Graph Based Word Sense Disambiguation for Gujarati. Journal of Advancements inRobotics. 2018; 5(2): 37–45p.

Downloads

Published

2018-09-20

Issue

Vol. 5 No. 2 (2018)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.