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Natural Language Processing based Soft Computing Techniques

by Jabar H. Yousif
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 8
Year of Publication: 2013
Authors: Jabar H. Yousif
10.5120/13418-1089

Jabar H. Yousif . Natural Language Processing based Soft Computing Techniques. International Journal of Computer Applications. 77, 8 ( September 2013), 43-49. DOI=10.5120/13418-1089

@article{ 10.5120/13418-1089,
author = { Jabar H. Yousif },
title = { Natural Language Processing based Soft Computing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 8 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number8/13418-1089/ },
doi = { 10.5120/13418-1089 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:46.741708+05:30
%A Jabar H. Yousif
%T Natural Language Processing based Soft Computing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 8
%P 43-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the implementation of soft computing (SC) techniques in the field of natural language processing. An attempt is made to design and implement an automatic tagger that extract a free text and then tag it. The part of speech taggers (POS) is the process of categorization words based on their meaning, functions and types (noun, verb, adjective, etc). Two stages tagging system based MPL, FRNN and SVM are implemented and designed. The system helps to classify words and assign the correct POS for each of them. The taggers are tested using two different languages (Arabic and Hindi). The Word disambiguation issue has been solved successfully for Arabic text. Experience has shown that the proposed taggers achieved a great accuracy (99%).

References
  1. Ahmed. "Application of Multilayer Perceptron Network for Tagging Parts-of-Speech", Proceedings of the Language Engineering Conference (LEC'02), IEEE, 2002.
  2. Aleksander, Igor, and Morton, Helen, An Introduction to Neural Computing, Chapman and Hall, London, 1990.
  3. Al-Sulaiti's Latifa. "Online corpus". http://www. comp. leeds. ac. uk/latifa/research. htm.
  4. Attia, M. " A large-scale computational processor of the Arabic morphology and applications", MSc. thesis, Dept. of Computer Engineering, faculty of Engineering, Cairo University, 2000.
  5. Beesley, K. "Finite-State Morphological Analysis and Generation of Arabic at Xerox Research: Status and Plans" , ACL, Arabic NLP Workshop, Toulouse, 2001.
  6. Ben-Hur, A. , Horn, D. , Siegelmann, H. T. , and Vapnik, V. (2001),Support vector clustering, Journal of Machine Learning Research, 2:125–137.
  7. Brants, T. "TnT- a statistical part-of-speech tagger", proceedings of the 6th ANLP conference, Seattle, WA, 2000.
  8. Brill, E. "Unsupervised learning of disambiguation rules for part of speech tagging". Proceedings of third ACL Workshop on Very Large Corpora, 1995.
  9. Brill, E. "A simple rule-based part-of-speech tagger", proceedings of ANLP-92, 3rd Conference on Applied Natural Language Processing, pp 152–155, Trento, IT, 1992.
  10. Diab, M. , Kadri H. & Daniel J. "Automatic tagging of Arabic text: from raw text to base phrase chunks", proceedings of HLT-NAACL-04, 2004.
  11. Gimenez, J. & Llu´?s M. "Fast and accurate part-of-speech tagging: The SVM approach revisited", proceedingsof the International conference on recent advances on natural language processing, Borovets, Bulgaria, 2003.
  12. Jabar H. Yousif, & Sembok, T. , "Arabic Part-Of-Speech Tagger Based Support Vectors Machines", proceedings of International Symposium on Information Technology,Kuala Lumpur Convention Centre, ISBN 978-1-4244-2328-6©IEEE, Malaysia, August 26-29, pp: 2084-2090, 2008. URL:http://ieeexplore. ieee. org/xpl/freeabs_all. jsp?arnumber=4632066.
  13. Jabar H. Yousif, & Sembok, T. , "Design And Implement An Automatic Neural Tagger Based Arabic Language For NLP Applications", Asian Journal of Information Technology Vol. 5, Issue 7, ISSN 1682-3915, pp 784-789, 2006. DOI: 10. 3923/ajit. 2006. 784. 789.
  14. Jabar H. Yousif, & Sembok, T. , "Recurrent Neural Approach Based Arabic Part-Of-Speech Tagging", proceedings of International Conference on Computer and Communication Engineering (ICCCE'06), Vol 2, ISBN 983-43090-1-5© IEEE, KL-Malaysia, May 9-11, 2006.
  15. Jabar H. Yousif, & Sembok, T. , "Arabic Part-Of-Speech Tagger Based Neural Networks", proceedings of International Arab Conference on Information Technology ACIT2005, ISSN 1812/0857. Jordan-Amman-2005.
  16. Jabar H. Yousif, and Dinesh Kumar Saini ,"Hindi Part-Of-Speech Tagger Based Neural Networks" , Journal of Computing, Volume 3, Issue 2, pp59-65 ISSN 2151-9617 ,NY, USA, February 2011.
  17. Jabar H. Yousif, "Information Technology Development", LAP LAMBERT Academic Publishing, Germany ISBN 9783844316704, 2011.
  18. 10Khoja S, Garside, R. & Gerry, K. "An Arabic tagset for the morphosyntactic tagging of Arabic", corpus linguistics, Lancaster University, Lancaster, UK, 2001.
  19. Khoja, S. "APT: Arabic part-of-speech tagger", proceedings of the student workshop at the second meeting of the north American chapter of the association for computational linguistics (NAACL2001), Carnegie Mellon University, Pennsylvania, 2001.
  20. Ma, Q. , Uchimoto, K. , Murata,M. & Isahara,H. "Elastic neural networks for part of speech tagging", proceedings of IJCNN'99, pp 2991–2996, Washington, DC, 1999.
  21. Mahtab, N. & Choukri, K. "Survey on Industrial needs for Language Resources", 2005. Online "http://www. nemlar. org/Publications/Nemlar-report-ind-needs_web. pdf".
  22. Marques, N. C. & Gabriel. P. L. "Using neural nets for Portuguese part-of-speech tagging", proceedings of the 5th international conference on the cognitive science of natural language processing, Dublin City University, Ireland, 1996.
  23. 15Persz-ortz A. J. & Forcada M. L. "Part-of-speech tagging with recurrent neural networks", proceedings of the International Joint Conference on Neural Networks, IJCNN- IEEE2001:1588-1592, 2001.
  24. Principe, J. C. ,Euliano,N. R. & Lefebvre, W. C. "Neural and adaptive systems, fundamentals through simulations", John Wiley & Sons, NY, 2000.
  25. Rababaa, M. , , Batiha, K. , & Jabar H. Yousif, "Towards Information Extraction System Based Arabic Language", International Journal of Soft Computing ,Vol. 1, No. 1, ISSN: 1816-9503 PP 67-70, 2006. http://medwelljournals. com/abstract/?doi=ijscomp. 2006. 67. 70
  26. Schmid, H. "Part-of-speech tagging with neural networks", proceedings of COLING-94, Kyoto, Japan, pp 172–176, 1994.
  27. Srinivas, M. & Patnaik, L. M. Genetic algorithms: a survey", IEEE Computer 27(6), pp17-26, 1994.
  28. Ueffing, N. Macherey, K. & Ney, H. 2003. Confidence measures for statistical machine translation. New Orleans: MTSummit.
  29. Weischedel, R. , et al. "Coping with ambiguity and unknown words through probabilistic models", Computational Linguistics. 19(2), pp359-382, 1993.
  30. Ying Dai , Basabi Chakraborty and Minghui Shi. "Kansei Engineering and Soft Computing: Theory and Practice. " IGI Global, 2011. 1-436. Web. 19 Mar. 2012. doi:10. 4018/978-1-61692-797-4
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Artificial Neural Networks Neural Tagger Part of Speech Optimizing Techniques.

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