A Survey on Word Sense Disambiguation for Persian language

Authors

  • Suliman Ameryani G.H Patel college of engineering and technology
  • Nirav M Raja G.H Patel college of engineering and technology
  • Vishal Prajapati G.H Patel college of engineering and technology

Keywords:

Natural language processing, word sense disambiguation, Ambiguity, Persian language

Abstract

Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It’s used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition attachment, co-reference resolution, Information extraction, question answering, word sense disambiguation (WSD) and etc. Many algorithms have been proposed so far to address the mentioned problems in NLP and some techniques for WSD too. Word sense disambiguation (WSD) is the process of finding correct sense for a word from a collection of semantic tags (senses) in a sentence. It has application in Machine translation, Information retrieval, Information extraction and Knowledge acquisition. Along with the other languages like English, Spanish, French, Hindi that are the focus point for most of the researchers some work has been done for Persian language too. This paper aims to describe some aspect of NLP and approaches that applied on WSD for Persian Language with analysis.

Author Biographies

  • Suliman Ameryani, G.H Patel college of engineering and technology
    Information Technology Department
  • Nirav M Raja, G.H Patel college of engineering and technology
    Information Technology Department
  • Vishal Prajapati, G.H Patel college of engineering and technology
    Information Technology Department

References

R.Bhala,S.Abirami, “Trends in word sense disambiguation,” Springer, March 2012.

R.Pathak, B.Thankachan ,” Natural language processing approaches, application and limitations”, International Journal of Engineering Research & Technology,vol.1,September 2012.

N.Rekabsaz, S.Sabetghadam, M. Lupu, L. Andersson, A. Hanbury,” Standard Test Collection for English-Persian Cross-LingualWord Sense Disambiguation”,unpublished.

M.Shamsfard, A.Hesabi, H.Fadaei, N. Mansoory, A.Famian, S.Bagherbeigi, E.Fekri, M.Monshizadeh, S. Mostafa Assi,” Semi Automatic Development of FarsNet; The Persian WordNet”,ResearchGate,February 2014.

M.Shamsfard,”Challenges and Open Problems in Persian Text Processing”, unpublished.

B. Sarrafzadeh, N. Yakovets, N.Cercone,A.An,” Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian”,ResearchGate,January 2017.

B. Sarrafzadeh, N. Yakovets, N.Cercone,A.An,” Cross Lingual Word Sense Disambiguation for Languages with Scarce Resources”,ResearchGate,October 2017.

M.Hamidi, A.Borji,S.Ghidary “Persian Word Sense Disambiguation” ,2014,15th ICEE Proceeding,2014.

T.Miangah,” Solving polysemy problem of Persian words using mutual information statistics”,unpublished.

M.Seraji,” A Statistical Part-of-Speech Tagger for Persian”, NODALIDA 2011 Conference Proceedings, pp. 340–343,2011.

A.Kardan, M.Imani “Improving Persian POS Tagging Using the Maximum Entropy Model”, IEEE,2014.

M. Yaghoub-Zadeh-Fard, B. Minaei-Bidgoli, S. Rahmani and S. Shahrivari “PSGW: An Automatic Stop-Word list Generator for Persian Information Retrieval Systems Based on Similarity Function and POS Information”, IEEE, 2015.

A.Rezapour, S.Fakhrahmad,M.Sadreddini “Applying Weighted KNN to Word Sense Disambiguation”, Proceedings of the World Congress on Engineering,vol.3,ResearchGate,2011.

E.Agirre,O.Lacalle “UBC-ALM: Combining k-NN with SVD for WSD”, Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007), pp. 342–345,June 2007.

F. Jani and A.H. Pilevar,” Word Sense Disambiguation of Persian Homographs”, In Proceedings of the 7th International Conference on Software Paradigm Trends (ICSOFT-2012), pp.328-331,2012.

N.Riahi,F.Sedghi “A Semi-Supervised Method for Persian Homograph Disambiguation”, 20th Iranian Conference on Electrical Engineering, (lCEE2012),IEEE,2012.

M. Soltani, H.Faili,” A Statistical Approach on Persian Word Sense Disambiguation”,unpublished.

C.Saedi,M.Shamsfard,”Translating Persian Documents into English Using Knowledge based WSD”,IEEE,2009.

Indurkhya, Nitin, and Fred J. Damerau, eds. Handbook of natural language processing Chapman and Hall/CRC, 2010.

Downloads

Published

2018-02-12

Issue

Vol. 5 No. 1 (2018)

Section

Review 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.