A lexical knowledge base approach for english-chinese cross-language information retrieval

Journal of the American Society for Information Science and Technology

Volumn 57, Issue 2, 2006, Pages 233-243

  Chen, Jiangping ^a  

^a UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENGLISH-CHINESE CROSS-LANGUAGE INFORMATION RETRIEVAL (EC-CLIR); LEXICAL KNOWLEDGE BASE (LKB); TRANSLATION RESOURCES;

FORMAL LANGUAGES; INFORMATION RETRIEVAL; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; VOCABULARY CONTROL;

KNOWLEDGE BASED SYSTEMS;

EID: 33645310660     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20273     Document Type: Article

References (32)

1. Ballesteros, L., & Croft, W.B. (1997). Phrasal translation and query expansion techniques for cross-language information retrieval. In Working Notes of the AAAI Spring Symposium on Cross-Language Text and Speech Retrieval, Stanford, CA. Retrieved October 4, 2005, from http://www.ee.umd.edu/medlab/ filter/sss/papers/ballesteros.ps
2. Ballesteros, L., & Croft, W.B. (1998). Resolving ambiguity for cross-language retrieval. Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 64-71). New York: ACM.
3. Chen, H.H. (2002). Chinese information extraction techniques. Lecture Notes at the 2002 Summer School on Intelligent Media and Information Processing (SSIMIP-2002), National University of Singapore, Singapore. Retrieved October 4, 2005, from http://www.comp.nus.edu.sg/~pris/summer_school/materials/hhchen-cie. pdf
4. Chen, J., & Nie, J.Y. (2000). Automatic construction of parallel English-Chinese corpus for cross-language information retrieval. In Proceedings of the 6th Conference on Applied Natural Language Processing (pp. 21-28).
5. Conover, W.J. (1999). Practical nonparametric statistics (3rd ed.). New York: Wiley.
6. Crouch, C.J., Crouch, D.B., Chen, Q., & Holtz, SJ. (2002). Improving the retrieval effectiveness of very short queries. Information Processing and Managements, 38, 1-36.
7. Gao, J., Nie, J.Y., Zhang, J., Xun, E., Su, Y., Zhou, M., et al. (2001). TREC-9 CLIR experiments at MSRCN. NIST Special Publication 500-249: The Ninth Text REtrieval Conference (pp. 343-353). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
8. Goh, C., Asahara, M., & Matsumoto, Y. (2004). Chinese word segmentation by classification of characters. In Proceedings of 3rd ACL SIGHAN Workshop on Chinese Language Processing. Retrieved September 16, 2004, from http://www1.cs.columbia.edu/~rambow/master-cd-rom/sighan/PDF/13-Ling-2col.pdf
9. Hull, D. (1993). Using statistical testing in the evaluation of retrieval experiments. In R. Korfhage, E. Rasmussen, & P. Willett (Eds.), Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 329-338). New York: ACM.
10. Jin, H.L., & Wong, K.F. (2001). A dictionary construction algorithm for information retrieval. ACM Transactions on Asian Language Information Processing, 1(4), 281-296.
11. Kwok, K.L. (1997). Comparing representations in Chinese information retrieval. In N.J. Belkin, A. Desai Narasimhalu, P. Willett, & W. Hersh (Eds.), Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 34-41). New York: ACM.
12. Kwok, K.L. (1999). English-Chinese cross-language retrieval based on a translation package. In Proceedings of the Workshop on Machine Translation for Cross Language IR-MT Summit VII (pp. 8-14).
13. Kwok, K.L. (2000). Exploiting a Chinese-English bilingual wordlist for English-Chinese cross language information retrieval. In Proceedings of the 5th International Workshop on Information Retrieval with Asian Languages (pp. 173-179).
14. Kwok, K.L., & Grunfeld, L. (1997). TREC-5 English and Chinese retrieval experiments using PIRCS. NIST Special Publication 500-238: The Fifth Text REtrieval Conference (pp. 133-142). Gaithersburg; MD: Department of Commerce, National Institute of Standards and Technology.
15. Lee, K., Oh, J., Huang, J., Kim, J., & Choi, K. (2001). TREC-9 experiments at KAIST: QA, CLIR and batch filtering. NIST Special Publication 500-249. The Ninth Text REtrieval Conference (pp. 303-316). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
16. Li, W.J., Wong K.F., & Yuan, C. (2001). Toward automatic Chinese temporal information extraction. Journal of the American Society for Information Science and Technology, 52, 748-762.
17. Liddy, E.D. (1998). Enhanced text retrieval using natural language processing. ASIS Bulletin, 24(4).
18. Melamed, I.D. (1998). Empirical methods for MT lexicon development. In D. Farwell, L. Gerber, & E. Hovy (Eds.), Machine translation and the information soup, The Proceedings of the Third Conference of the Association for Machine Translation in the Americas, AMTA'98 (pp. 18-30). London: Springer-Verlag.
19. Miller, G. (1990). WordNet: An on-line lexical database [Special issue]. International Journal of Lexicography, 2(4).
20. Nie, J.Y., Gao, J.F., Zhang, J., & Zhou, M. (2000). On the use of words and n-grams for Chinese information retrieval. Proceedings of the Fifth International Workshop on Information Retrieval with Asian Languages (pp. 141-148).
21. Palmer, D.D. (1997). A trainable rule-based algorithm for word segmentation. Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL'97).
22. Peterson, E. (1998). A Chinese named entity extraction system. Retrieved September 16, 2004, from http://epsilon3.georgetown.edu/~petersee/chinesene.html
23. Ruiz, M.E., Rowe, S., Forrester, M., & Sheridan, P. (2001). CINDORTREC-9 English-Chinese evaluation. MIST Special Publication 500-249: The Ninth Text REtrieval Conference (pp. 379-388). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
24. Salton, G., & McGill, M.J. (1983). The SMART and SIRE experimental retrieval systems (pp. 118-155). New York: McGraw-Hill.
25. Singhal, A., Buckley, C., & Mitra, M. (1996). Pivoted document length normalization. In H.P. Frei, D. Harman, P. Schäuble, & R. Wilkinson (Eds.), Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 21-29). New York: ACR.
26. Sproat, R.W., Shih, C.L., Gale, W., & Chang, N. (1996). A stochastic finite-state word-segmentation algorithm for Chinese. Computational Linguistics, 22, 377-404.
27. Sun, J., Zhou, M., & Gao. J. (2003). A class-based language model approach to Chinese named entity identification. The International Journal of Computational Linguistics and Chinese Language Processing, 8(2), 1-28
28. Voorhees, E.M., & Harman, D. (Eds.). (2001). TREC-9 results: Common evaluation measures. NIST Special Publication 500-249: The Ninth Text REtrieval Conference (pp. A-15-A-19). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
29. Wu, L., Huang, X., Guo, Y., Liu, B., & Zhang, Y. (2001). FDU at TREC-9: CLIR, Filtering, and Q&A tasks. NIST Special Publication 500-249: The Ninth Text REtrieval Conference (pp. 189-202). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
30. Xu, J., & Weischedel, R. (2001). TREC-9 cross-lingual retrieval at BBN. NIST Special Publication 500-249. The Ninth Text REtrieval Conference (pp. 106-115). Gaithersburg, MD: Department of Commerce, National Institute of Standards and Technology.
31. Xue, N., & Shen, L. (2003). Chinese word segmentation as LMR tagging. In Proceedings of the Second SIGHAN Workshop on Chinese Language Processing. Retrieved September 9, 2004, from http://www.cis.upenn.edu/~libin/paper/ sighan03.pdf
32. Yu, S.H., Bai, S.H., & Wu, P. (1998). Description of the Kent Ridge digital labs system used for MUC-7. Proceedings of the 7th Message Understanding Conference.