CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

State of Art: Cross Lingual Information Retrieval System for Indian Languages

by A. Nagarathinam, Dr. S. Saraswathi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 13
Year of Publication: 2011
Authors: A. Nagarathinam, Dr. S. Saraswathi
10.5120/4560-6463

A. Nagarathinam, Dr. S. Saraswathi . State of Art: Cross Lingual Information Retrieval System for Indian Languages. International Journal of Computer Applications. 35, 13 ( December 2011), 15-21. DOI=10.5120/4560-6463

@article{ 10.5120/4560-6463,
author = { A. Nagarathinam, Dr. S. Saraswathi },
title = { State of Art: Cross Lingual Information Retrieval System for Indian Languages },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 13 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number13/4560-6463/ },
doi = { 10.5120/4560-6463 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:51.697130+05:30
%A A. Nagarathinam
%A Dr. S. Saraswathi
%T State of Art: Cross Lingual Information Retrieval System for Indian Languages
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 13
%P 15-21
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The number of Web Users accessing the Internet becomes huge now a day. Also, all sorts of information can be obtained anytime by anybody from the Web. In India plenty of people are speaking diversified local languages. Only a very few percentage of population know English language and they can express their queries in English in a right way. Though, the network shrank the Globe, the language diversification is a great barrier to enjoy the benefits of the digital life. Cross Lingual Information Retrieval provides the solution for that barrier, by allowing the user to ask the query in the local language and then to get the documents in another language (English).

References
  1. Jianfeng Gao, Jian-Yun Nie, Ming Zhou. Statistical Query Translation Models for Cross-Language Information Retrieval, ACM Transactions on Asian Language Information Processing, 5, 4, December 2006.
  2. Manoj Kumar Cinnakotla, Sagar Ranadive, Pushpak Bhattacharyya and Om Damani, P. Hindi and Marathi to English CLIR at CLEF 2007, Working notes of CLEF 2007.
  3. Internet World Stats, available at: http://www.internetworldstats.com.
  4. Grey Burkhart, E., Seymour Goodman, E., Arun Mehta and Larry Press. The Internet in India: better times ahead?, Journal of ACM Communication, 41, 11, 21-26, 1998.
  5. Isabelle Moulinier & Frank Schilder. What is the future of multi-lingual Information Access?, SIGIR 2006 Workshop on Multilingual Information Access 2006, Seattle, Washington, USA, 2006.
  6. Prasenjit Majumder, Mandar Mitra Swapan Parui and Pushpak Bhattacharyya. Initiative for Indian Language IR Evaluation, Invited paper in EVIA 2007 Online Proceedings, 2007.
  7. Prasenjit Majumder, Mandar Mitra, Dipasree Pal, Ayan Bandyopadhyay, Samaresh Maiti, Sukomal Pal. The FIRE 2008 Evaluation Exercise, ACM Transactions on Asian Language Information Processing, 1-24, September 2010.
  8. Mcnamee, P. N-Gram Tokenization for Indian Language Text Retrieval, Working Notes from Fire 2008, 2008.
  9. Hiemstra, D. Using language models for Information Retrieval, Ph.D. Thesis University of Twente, 2001.
  10. Dolamic, L. and Savoy, J. UniNE at FIRE 2008: Hindi, Bengali, and Marathi IR, Working Notes from Fire 2008, 2008.
  11. Sparck Jones, K., Walker, S., and Robertson, S. A probabilistic model of Information Retrieval: Development and comparative experiment, Journal of Information Processing Management, 36, 6, 779–808, 2000.
  12. Paik, J. H., and Parui, S. K. A simple stemmer for inflectional languages, Working Notes from FIRE 2008 (FIRE’08), 2008.
  13. Sethuramalingam, S., and Varma, V. CLIR experiments for FIRE-2008, Working Notes from FIRE 2008.
  14. SHABDKOSH™ English Hindi Dictionary, available at: http://www.shabdkosh.com/shabdanjali.
  15. Hindi Wordnet available at: http://www.cfilt.iitb.ac.in/wordnet/webhwn
  16. Padariya, N., Chinnakotla, M., Nagesh, A., and Damani O. P. Evaluation of Hindi to English, Marathi to English, and English to Hindi CLIR at FIRE 2008, Working Notes from FIRE 2008, 2008.
  17. Rao, P. R., and Sobha, L. Submission - Cross lingual information retrieval track: Tamil-English, Working Notes from FIRE 2008, 2008.
  18. Udupa, R., Jagarlamudi, J., and Saravanan, K. Hindi-English cross- language information retrieval, Working Notes from FIRE 2008, 2008.
  19. Pattabhi R. K. Rao., and Sobha, L. Cross Lingual Information Retrieval Track: Tamil – English, Working notes from FIRE 2010, Feb 2010.
  20. Jagadeesh Jagarlamudi and Kumaran, A. Cross-Lingual Information Retrieval System for Indian Languages, Proceedings of CLEF 2007, 2007.
  21. Thenmozhi, D., and Aravindan, C. Tamil-English Cross Lingual Information Retrieval System for Agriculture Society, International Forum for Information Technology in Tamil Conference, October 2009.
  22. Dr. Saraswathi, S., Asma Siddhiqaa, M., Kalaimagal, K., and Kalaiyarasi M. BiLingual Information Retrieval System for English and Tamil, Journal Of Computing, 2,4, 85-89, April 2010.
  23. Karunesh Arora, Ankur Garg, Gour Mohan, Somiram Singla, Chander Mohan. Cross Lingual Information Retrieval Efficiency Improvement through Transliteration, Proceedings of ASCNT 2009, 65-71, 2009.
  24. Chawre, S. M., Srikantha Rao. Domain Specific Information Retrieval in Multilingual Environment, International Journal of Recent Trends in Engineering, 2, 4, 179-181, 2009.
  25. Saravanan, K., Raghavendra Udupa, Kumaran, A. Cross lingual Information Retrieval System Enhanced with Transliteration Generation and Mining, Proceedings of Workshop FIRE 2010, 2010.
  26. Gey, F., He, J., and Chen, A. Manual queries and Machine Translation in cross-language retrieval at TREC-7, in TREC7 Proceedings, NIST Special Publication, 1999.
  27. Bilingual dictionary available at: http://en.wikipedia.org/wiki/Bilingual_dictionary.
  28. Oren Kurland and Lillian Lee. Corpus structure, language models, and ad hoc Information Retrieval, Proceedings of SIGIR, 194-201, 2004.
  29. Dong Zhou, Mark Truran, Tim Brailsford, Helen Ashman. A Hybrid Technique for English-Chinese Cross Language Information Retrieval, ACM Transactions on Asian Language Information Processing, 7, 2, June 2008.
  30. Ari Pirkola, Turid Hedlund, Heikki Keskustalo, Kalervo Jarvelin. Dictionary-Based Cross-Language Information Retrieval: Problems, Methods and Research Findings, Information Retrieval, 4, 209-230, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Monolingual IR CLIR Machine Translation Bilingual Dictionary Corpus

Powered by PhDFocusTM