CFP last date
20 May 2024
Reseach Article

Morpho-Semantic Features for Rule-based Tamil Enconversion

by J Balaji, T V Geetha, Ranjani, Madhan Karky
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 6
Year of Publication: 2011
Authors: J Balaji, T V Geetha, Ranjani, Madhan Karky
10.5120/3109-4269

J Balaji, T V Geetha, Ranjani, Madhan Karky . Morpho-Semantic Features for Rule-based Tamil Enconversion. International Journal of Computer Applications. 26, 6 ( July 2011), 11-18. DOI=10.5120/3109-4269

@article{ 10.5120/3109-4269,
author = { J Balaji, T V Geetha, Ranjani, Madhan Karky },
title = { Morpho-Semantic Features for Rule-based Tamil Enconversion },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number6/3109-4269/ },
doi = { 10.5120/3109-4269 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:04.613067+05:30
%A J Balaji
%A T V Geetha
%A Ranjani
%A Madhan Karky
%T Morpho-Semantic Features for Rule-based Tamil Enconversion
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 6
%P 11-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses the UNL Enconversion of Tamil sentences. The rich morphology of Tamil enables the Enconversion process to be based on morpho-semantic features of the words and their preceding and succeeding context. The use of case relation indicating morphological suffixes, POS tag and word level semantics allows the rule based Enconversion to be independent of the syntactic structure of the sentence. These UNL graphs are used to build a conceptual level index.

References
  1. Ali, M.N.Y. Al-Mamun, S.M.A. Das, J.K. Nurannabi, A.M. 2008 Dept. of CSE, East West Univ., Dhaka. Morphological analysis of Bangla words for Universal Networking Language Digital Information Management. ICDIM 2008. Third International Conference
  2. Gala, N. 2004. Using an incremental robust parser to automatically generate semantic graph. Proceedings of the 3rd workshop on Robust Methods of Analysis of Natural Language Data.
  3. Igor M. Boguslavsky, Leonid L. Iomdin , Victor G. Sizov 2003 Interactive enconversion by means of the ETAP-3 system, Proceedings of the International Conference on the Convergence of Knowledge, Culture, Language and Information Technologies
  4. Jain, M. and Damani, O. P. 2008. English to UNL (Interlingua) Enconversion. Indian Institute of Technology Bombay, India.
  5. RajatKumar Mohanty, Anupama Dutta, P. B. 2005. Semantically relatable sets: Building blocks for representing semantics. Machine Translation Summit.
  6. Mrugank Surve, Satish Kagathara, Pushpak Bhattacharyya, 2004, Agro Explorer Group, Agro Explorer: a Meaning Based Multilingual Search Engine, In Proceedings of the International Conference on Digital Libraries (ICDL), Volume 2, New Delhi, India.
  7. Nguyen, D.P.T. Ishizuka, M.A 2006 A Statistical approach for universal networking language-based relation extraction Research, Innovation and Vision for the Future, 2006 IEEE International Conference
  8. UNDL. 2009. Universal networking digital language. http: // www. undl. org/ Online; accessed 28 September 2009 .
  9. Sameh Alansary, Magdy Nagi and Noha Adly, 2009, A Library Information System (LIS) based on UNL knowledge infrastructure, Seventh International Conference on Computer Science and Information Technologies, 28 September - 2 October, Yerevan, Armenia
  10. Subalalitha, T.V.Geetha, Parthasarathi, R., and Karky, M. 2008. CoReX: A Concept Based Semantic Indexing Technique. SWM-08
  11. Virach Sornlertlamvanich, Tanapong Potipiti and Thatsanee Charoenporn, 2001 NECTEC, Thailand, UNL Document Summarization , The First International Workshop on MultiMedia Annotation, 30-31 January 2001, Tokyo, Japan
  12. Firoz Mridha, Zakir Hossain, Shahid AI Noor, 2010, Development of Morphological Rules for Bangla Words for Universal Networking Language, IJCSNS International Journal of Computer Science and Network Security, vol. 10 No. 10, October 2010
  13. Nawab Yousuf Ali and Mohammad Zakir Hossain Sarker and Jugal Krishna Das, 2011, Analysis and Generation of Bengali Case Structure Constructs for Universal Networking Language, International Journal of Computer Applications, Vol. 18, March 2011, page no. 34-41
  14. Deryle Lonsdale and Er M. Franz and John R. R. Leavitt, 1994, Large-Scale Machine Translation: An Interlingua Approach, In Proceedings of IEA/AIE-94, page no. 525-530 ACM
  15. Bonnie Dorr, Parameterization of the Interlingua in Machine Translation, In Proceedings of Fourteenth International Conference on Computational Linguistics, page no. 624-630, MIT Press.
Index Terms

Computer Science
Information Sciences

Keywords

Universal Networking Language Enconversion Morpho-Semantic features