A Proposed Online Approach of English and Punjabi Question Answering

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-6 Number-5
Year of Publication : 2013
Authors : Vishal Gupta

Citation 

Vishal Gupta. "A Proposed Online Approach of English and Punjabi Question Answering". International Journal of Engineering Trends and Technology (IJETT). V6(5):292-295 Dec 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

This paper discusses a proposed technique of question answering for online English and Punjabi text. Initially this system takes question as input text written by user. Then stop words are removed from input question. A list of stop words has been prepared in advance for English and Punjabi. After this key terms are extracted from remaining string of question. Nouns, adjectives and verbs are treated as key terms. Synonyms of these key terms are extracted using bilingual dictionary of English and Punjabi and using Vector Space Model. Query is then reformulated by usage of these key terms and synonyms. Next phase is to retrieve the necessary web pages by applying string matching with reformulation of query. At last our question answering system returns the answers from the web documents extracted by online search engine and then it gives scores to the answer candidates. Finally we can extract top scored twenty answers for our question.

References

[1] M. W. Berry, “Survey of Text Mining: Clustering, Classification and Retrieval,” Springer Verlag, New York, pp. 24-43, 2004.
[2] G. Singh, M. S. Gill and S.S. Joshi, “Punjabi to English Bilingual Dictionary,” Punjabi University, Patiala, 1999.
[3] V. Gupta and G.S. Lehal, “Creation of thesaurus from bilingual Punjabi dictionary using text Mining,” International Conference of Challenges of E- commerce and Networks, APIIT SD panipat, India,2005.
[4] J. Parikh and M. N. Murty, “Adapting Question Answering Techniques to the Web,” Proceedings of the Language Engineering Conference IEEE, 2002.
[5] A. Del-Castillo-Escobedo , M. Montes-y-Gómez and L. Villaseñor-Pineda, “QA on the Web: A Preliminary Study for Spanish Language,” Proceedings of the Fifth Mexican International Conference in Computer Science, IEEE, 2004.
[6] A. Andrenucci, and E. Sneiders, “Automated Question Answering: Review of the Main Approaches,” Proceedings of the Third International Conference on Information Technology and Applications (ICITA) IEEE, 2005.
[7] O. Mason, “QTAG-A portable probabilistic tagger,” Corpus Research, the University of Birmingham, U.K, 1997.
[8] R. Baeza and B. Ribeiro, “Modern information retrieval,” ACM Press, New York, Addison-Wesley, 1999.
[9] J. Allan, M. Connel, W. Croft, F. Feng, D. Fisher and X. Li. “INQUERY and TREC-9,” TREC-10, 2000.
[10] G. Cormack, A. Clarke, C. Palmer and D. Kisman, “Fast Automatic Pasaje Ranking (MultiText Experiments for TREC-8),” In TREC-8, 1999.
[11] M. Fuller, M. Kaszkiel, S. Kimberly, J. Sobel, R. Wilson and M. Wu,“The RMIT/CSIRO Ad Hoc, Q&A, Web, Interactive, and Speech Experiments at TREC-8,” In TREC-8, 1999.
[12] L. Hirshman and R. Gaizauskas, “Natural Language Question Answering: The View from Here,” Natural Language Engineering, vol. 7, 2001.
[13] J. Chen, A. Diekema, M. Taffet, N. McCracken, N. Ozgencil, O. Yilmazel and E. Liddyl, “Question answering: CNLP at the TREC-10 question answering track,” In TREC 2001, 2001.
[14] E. Hovy, L. Gerber, U. Hermajakob, M. Junk and C. Lin, “Question answering in Webclopedia,” In TREC-9, 2000.
[15] E. Hovy, U. Hermajakob and C. Lin, “The use of external knowledge in factoid QA,” In TREC’01, 2001.
[16] E. Brill, J. Lin, M. Banko, S. Dumais and A. Ng, “Data-intensive question answering,” In TREC ’01, 2001.
[17] C A. MONTERO and K. ARAKI, “Information-Demanding Question Answering System,” Intematiorial Symposium on Coinmumcations and Information Tcchnologes ISClT , Japan, 2004.

References
Question answering system, information retrieval, text mining, natural language processing