Cross-Language Information Retrieval

1. Front Matter

   Pages i-xi

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2. The Problem of Cross-Language Information Retrieval

   • Gregory Grefenstette

   Pages 1-9

3. On The Effective Use of Large Parallel Corpora in Cross-Language Text Retrieval

   • Mark W. Davis

   Pages 11-22

4. Statistical Methods for Cross-Language Information Retrieval

   • Lisa Ballesteros, W. Bruce Croft

   Pages 23-40

5. Distributed Cross-Lingual Information Retrieval

   • Christian Fluhr, Dominique Schmit, Philippe Ortet, Faza Elkateb, Karine Gurtner, Khaled Radwan

   Pages 41-50

6. Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing

   • Michael L. Littman, Susan T. Dumais, Thomas K. Landauer

   Pages 51-62

7. Mapping Vocabularies Using Latent Semantics

   • David A. Evans, Steve K. Handerson, Ira A. Monarch, Javier Pereiro, Laurent Delon, William R. Hersh

   Pages 63-80

8. Cross-Language Information Retrieval: A System for Comparable Corpus Querying

   • Eugenio Picchi, Carol Peters

   Pages 81-92

9. A Language Conversion Front-End for Cross-Language Information Retrieval

   • Yamabana Kiyoshi, Muraki Kazunori, Doi Shinichi, Kamei Shin-ichiro

   Pages 93-104

10. The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Information Retrieval

    • Denis A. Gachot, Elke Lange, Jin Yang

    Pages 105-118

11. A Weighted Boolean Model for Cross-Language Text Retrieval

    • David Hull

    Pages 119-136

12. Building a Large Multilingual Test Collection from Comparable News Documents

    • Páraic Sheridan, Jean Paul Ballerini, Peter Schäuble

    Pages 137-150

13. Evaluating Cross-Language Text Filtering Effectiveness

    • Douglas W. Oard, Bonnie J. Dorr

    Pages 151-161

14. Back Matter

    Pages 163-182

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Most of the papers in this volume were first presented at the Workshop on Cross-Linguistic Information Retrieval that was held August 22, 1996 dur­ ing the SIGIR'96 Conference. Alan Smeaton of Dublin University and Paraic Sheridan of the ETH, Zurich, were the two other members of the Scientific Committee for this workshop. SIGIR is the Association for Computing Ma­ chinery (ACM) Special Interest Group on Information Retrieval, and they have held conferences yearly since 1977. Three additional papers have been added: Chapter 4 Distributed Cross-Lingual Information retrieval describes the EMIR retrieval system, one of the first general cross-language systems to be implemented and evaluated; Chapter 6 Mapping Vocabularies Using Latent Semantic Indexing, which originally appeared as a technical report in the Lab­ oratory for Computational Linguistics at Carnegie Mellon University in 1991, is included here because it was one of the earliest, though hard-to-find, publi­ cations showing the application of Latent Semantic Indexing to the problem of cross-language retrieval; and Chapter 10 A Weighted Boolean Model for Cross­ Language Text Retrieval describes a recent approach to solving the translation term weighting problem, specific to Cross-Language Information Retrieval. Gregory Grefenstette CONTRIBUTORS Lisa Ballesteros David Hull W, Bruce Croft Gregory Grefenstette Center for Intelligent Xerox Research Centre Europe Information Retrieval Grenoble Laboratory Computer Science Department University of Massachusetts Thomas K. Landauer Department of Psychology Mark W. Davis and Institute of Cognitive Science Computing Research Lab University of Colorado, Boulder New Mexico State University Michael L. Littman Bonnie J.

• corpus
• database
• filtering
• information
• information retrieval
• machine translation
• semantics

• Grenoble Labaratory, Xerox Research Centre Europe, Grenoble, France

  Gregory Grefenstette

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