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New Technology of Library and Information Service  2009, Vol. 25 Issue (6): 31-36    DOI: 10.11925/infotech.1003-3513.2009.06.07
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Survey on Multilingual Documents Clustering
Zhang Chengzhi1,2   Huilin Wang2
1(Institute of Scientific & Technical Information of China, Beijing 100038, China)
2(Department of Information Management, Nanjing University of Science and Technology, Nanjing 210094, China)
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Abstract  

 This paper gives a survey on multilingual documents clustering. The potential application of multilingual documents clustering is introduced firstly. Then, the multilingual documents clustering methods are classified according to the resources. Finally, the authors describe the existing problems and the future trends of multilingual documents clustering.
Key words：  Multilingual documents clustering      Cross language documents clustering      Text mining      Multilingual information processing     
Received: 13 May 2009      Published: 25 June 2009
ZTFLH: 

TP391 

 
     
  G252

 		 
Corresponding Authors: Zhang Chengzhi     E-mail: zhangchz@istic.ac.cn
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Cite this article:

Zhang Chengzhi,Huilin Wang. Survey on Multilingual Documents Clustering. New Technology of Library and Information Service, 2009, 25(6): 31-36.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2009.06.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2009/V25/I6/31

［1］ Top Ten Languages Used in the Web ［EB/OL］. ［2008- 12-10］. http://www.internetworldstats.com/stats7.htm.
［2］ 多语并存［EB/OL］. ［2009-02-20］. http://www.unesco.org/bpi/pdf/memobpi24_multilingualism_zh.pdf.
［3］ Graddol D. The Future of Language ［J］. Science, 2004, 303(5662): 1329-1331.
［4］ Google News ［EB/OL］. ［2008-12-10］. http://news.google.com.
［5］ Montalvo S, Martinez R, Casillas A,et al. Multilingual Document Clustering: An Heuristic Approach Based on Cognate Named Entities ［C］. In: Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the ACL, 2006: 1145-1152.
［6］ Chen H H,Lin C J. A Multilingual News Summarizer ［C］. In: Proceedings of the 18th International Conference on Computational Linguistics, 2000: 159-165.
［7］ Braschler M, Ripplinger B, Schuble P. Experiments with the Eurospider Retrieval System for CLEF2001 ［C］. In: Proceedings of the Second Workshop of the Cross-Language Evaluation Forum, 2001: 102-110.
［8］ Lawrence J L. Newsblaster Russian-English Clustering Performance Analysis ［R］. Columbia Computer Science Technical Reports, 2003.
［9］ Steinberger R, Hagman J, Scheer S. Using Thesauri for Automatic Indexing and for the Visualization of Multilingual Document Collections ［C］. In: Proceedings of the Workshop on Ontologies and Lexical Knowledge Bases, 2000: 130-141.
［10］ Evans D K,Klavans J L. A Platform for Multilingual News Summarization ［R］. Technical Report, Department of Computer Science, Columbia University, 2003.
［11］ Mathieu B, Besancon R, Fluhr C. Multilingual Document Clusters Discovery ［C］. In: Proceedings of RIAO2004, 2004: 1-10.
［12］ Pouliquen B, Steinberger R, Ignat C,et al. Multilingual and Cross-Lingual News Topic Tracking ［C］. In: Proceedings of the 20th International Conference on Computational Linguistics, 2004: 959-965.
［13］ Wu K,Lu B L. Cross-Lingual Document Clustering ［C］. In: Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing, China. 2007: 956-963.
［14］ Pham M H, Bernhard D, Diallo G,et al. SOM-based Clustering of Multilingual Documents Using an Ontology ［A］.//Nigro H O, Cisaro S C, Xodo D (Eds.). Data Mining with Ontologies: Implementations, Findings and Frameworks ［C］. IGI Global, 2007: 65-82.
［15］ 孙广范, 宋金平, 袁琦,等. 中英可比语料库中翻译等价对抽取方法研究［J］. 计算机工程与应用, 2007, 43(320):44-46, 71.
［16］ Lin C H,Chen H C. An Automatic Indexing and Neural Network Approach to Concept Retrieval and Classification of Multilingual (Chinese-English) Documents ［J］. IEEE Transactions on Systems, Man, and Cybernetics, 1996, 26(1): 75-88.
［17］ Wei C H,Yang C C,Lin C M. A Latent Semantic Indexing-based Approach to Multilingual Document Clustering ［J］. Decision Support Systems, 2008, 45(3):606-620.
［18］ Montalvo S, Martinez R, Casillas A,et al. Bilingual News Clustering Using Named Entities and Fuzzy Similarity ［C］. In: Proceedings of TSD 2007, 2007: 107-114.
［19］ Montalvo S, Martinez R, Casillas A,et al. Multilingual News Clustering: Feature Translation vs. Identification of Cognate Named Entities ［J］. Pattern Recognition Letter, 2007,28(16): 2305-2311.
［20］ 杜慧平, 侯汉清. 网络环境中汉语叙词表的自动构建研究［J］. 情报学报, 2008, 27(6): 863-869.
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