Parts of Speech Taggers for Dravidian Languages
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : Anjali M K, BabuAnto P
|DOI : 10.14445/22315381/IJETT-V21P263|
Anjali M K, BabuAnto P"Parts of Speech Taggers for Dravidian Languages", International Journal of Engineering Trends and Technology (IJETT), V21(7),342-347 March 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
The process of assigning one of the parts-of- speech(POS) to the given word in a text is called Parts-of-speech tagging. POS tagging is a very important pre-processing task for language processing activities. This paper made a detailed study about the taggers available on morphologically rich Dravidian languages which includes Malayalam, Kannada, Tamil and Telugu. It also briefs various approaches used for POS tagging.
TanveerSiddiqui , U S Tiwary, Natural Language Processing and Information Retrieval, Oxford University Press.
Jurafsky, D., Martin, J. H., Speech and Language Processing-An Introduction to Natural LanguageProcessing, Computational Linguistics andSpeech Recognition, Prentice Hall, Upper Saddle River, NewJersey,2000
L. R. .Rabiner, B. H. Juang, An Introduction to Hidden Markov Models,IEEE ASSP MAGAZINE JANUARY 1986
Chris Mueller, Support Vector Machines, www.osl.iu.edu/~chemuell/projects/presentations/svm.pdf
 Marti A Hearst,Support Vector Machines, IEEE Intelligent Systems Magazine, 1998.
 AdwaitRatnaparkhi, A Simple Introduction to Maximum Entropy Models for Natural Language Processing, IRCS Report 97.
 Adam L Berger, Stephen A Della Pietra, Vincent J Della Pietra, A Maximum Entropy Approach to Natural Language Processing,Journal Computational Linguistics, Volume 22, Issue 1, March 1996.
 John Lafferty, Andrew McCallum, Fernando Pereira, ?Conditional Random Fields: Probabilistic Modelsfor Segmenting and Labeling Sequence Data,?Proceedings of the 18th International Conference on Machine Learning 2001 (ICML 2001), pages282-289.
 Manju K., Soumya S., Sumam Mary Idicula, Developmentof a POS Tagger for Malayalam - An Experience,artcom, pp.709-713, 2009 International Conference on Advances inRecent Technologies in Communication and Computing,2009
Rajeev R R, Jisha P jayan, Elizabeth Sherly, Parts of speech Tagger forMalayalam, IJCSIT International Journal of Computer Science and Information Technology, vol 2, No.2, December 2009, pp 209-213
Antony P J, Santhanu P Mohan and Soman K P (2010), SVM Based Parts of Speech Tagger for Malayalam, International Conference on- Recent Trendsin Information, Telecommunication and Computing (ITC 2010).
 P J Antony, K P Soman, Kernel based part of speech tagger for Kannada, International Conference on Machine Learning and Cybernetics (ICMLC), 2010 (Volume:4 )
 Shambhavi.B. R,Ramakanth Kumar P Revanth G, A Maximum EntropyApproach to Kannada Part Of Speech Tagging, International Journal of Computer Applications (0975 – 8887), Volume 41– No.13, March 2012
Shambhavi B R,Ramakanth Kumar P, Kannada Part-Of-Speech Taggingwith Probabilistic Classifiers, International Journal of Computer Applications (0975 – 888) Volume 48– No.17, June 2012
Pallavi, Anitha S Pillai, Parts Of Speech (POS) Tagger for Kannada UsingConditional Random Fields (CRFs), National Conference on IndianLanguage Computing, 2014
 Bhuvaneshwari C. Melinamath, Hierarchical Annotator System For Kannada Language, Impact: International Journal of Research in Engineering & Technology Vol. 2, Issue 5, May 2014, 97-110  VasuRanganathan, Development of Morphological Tagger for Tamil, Tamil Internet Conference 2001
 Arulmozhi. P, Sobha. L, Kumara Shanmugam. B, Parts of Speech Tagger for Tamil, Symposium on Indian Morphology, Phonology& Language Engineering19 – 21 March, 2004
M Ganesan, S. Raja, Morpheme and Parts-of-Speech tagging ofTamil Corpus, Symposium on Indian Morphology, Phonology& Language Engineering19 – 21 March, 2004
 ArulmozhiPalanisamy,SobhaLalitha Devi, HMM based POS Tagger fora Relatively Free Word Order Language,Research in Computing Science,2006, pp. 37-48
 S. LakshmanaPandian, T. V. Geetha, Morpheme based Language Model for Tamil Part-of-Speech Tagging,Research journal on Computer science and computer engineering with applications Issue 38 (July-December 2008)pp 19-25
M. Selvam, A.M. Natarajan,Improvement Of Rule Based Morphological Analysis AndPos Tagging In Tamil Language Via Projection And Induction Techniques, International Journal Of Computers Issue 4, Volume 3, 2009
 Dhanalakshmi V, Anand Kumar, Shivapratap G, Soman KP,Rajendran S, Tamil POS Tagging using Linear Programming,International Journal ofRecent Trends in Engineering, Vol. 1, No. 2, May 2009
Dhanalakshmi V, Anandkumar M, Rajendran S, Soman K P, POS Taggerand Chunker for Tamil Language, Tamil Internet Conference 2009
 MadhuRamanathan, Vijay Chidambaram, AshishPatro, An Attempt at Multilingual POS Tagging for Tamil, pages.cs.wisc.edu/~madhurm/CS769_final_report.pdf
T. Sree Ganesh,Telugu Parts Of Speech Tagging In WSD, Language In India, Volume 6 : 8 August 2006
RamaSree, R.J., KusumaKumari P., Combining Pos Taggers For Improved Accuracy To Create Telugu Annotated Texts For Information Retrieval,www.Ulib.Org/Conference/2007/Ramasree.pdf
G.SindhiyaBinulal, P. AnandGoud, K.P.Soman, A SVM based Approachto Telugu Parts Of SpeechTagging using SVMTool, International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009
 SrinivasuBadugu, Morphology Based POS Tagging on Telugu,IJCSI International Journal of Computer Science Issues, Vol. 11, Issue 1, No 1, January 2014.
POS Tagger; Dravidian Language; Rule based; Stochastic; Hybrid; Malayalam; Telugu; Kannada; Tamil.