Subject: Cross-Language Information Retrieval 
From: rmurphy@wkap.com (Roberta Murphy)
To: elsnet-list@let.ruu.nl
Date: Thu, 19 Mar 1998 14:54:12 -0500

     KLUWER ACADEMIC PUBLISHERS is proud to announce the publication of:
     
     CROSS-LANGUAGE INFORMATION RETRIEVAL 
     edited by
     Gregory Grefenstette
     Rank Xerox European Research Centre, France
     
     Cross-Language Information Retrieval is the first book that addresses 
     the problem of accessing multilingual information through a 
     single-language query. This research problem is receiving growing 
     attention by US and foreign governments. The universal adoption of the 
     Internet and the WWW have created an enormous, multilingual virtual 
     textual database. Rather than looking upon foreign language documents 
     as distracting noise, one can consider these documents as untapped 
     sources of information. 
     
     Cross-Language Information Retrieval describes the problem, 
     highlighting the differences between the field and the related areas 
     of Machine Translation and Information Retrieval.  Researchers from 
     Europe, Japan and America present a wide variety of techniques and 
     experimental results. The life-size experiments are run on modern 
     large-scale retrieval testbeds, running up to hundreds of megabytes of 
     texts. The techniques involve using bilingual dictionaries, machine 
     translation systems, parallel text corpora, comparable but 
     non-parallel text corpora, latent semantic indexing, and weighted 
     Boolean interrogation. 
     
     This volume is suitable as a secondary text for a graduate level 
     course on Cross-Language Information Retrieval, and as a reference for 
     researchers and practitioners in industry.  
     
     Contents and  Contributors
     Preface.  1. The Problem of Cross-Language Information Retrieval; G. 
     Grefenstette   2. On the Effective Use of Large Parallel Corpora in 
     Cross-Language Text Retrieval; M.W. Davis  3. Statistical Methods for 
     Cross-Language Information Retrieval; L. Ballesteros, W.B. Croft  4. 
     Distributed Cross-Lingual Information Retrieval; C. Fluhr, et al  5. 
     Automatic Cross-Language Information Retrieval Using Latent Semantic 
     Indexing; M.L. Littman, et al.  6. Mapping Vocabularies Using Latent 
     Semantics; D.A. Evans, et al.  7. Cross-Language Information 
     Retrieval: A System for Comparable Corpus Querying; E. Picchi, C. 
     Peters.  8. A Language Conversion Front-End for Cross-Language 
     Information Retrieval; Y. Kiyoshi, et al.  9. The SYSTRAN NLP Browser: 
     An Application of Machine Translation Technology in Cross-Language 
     Information Retrieval; D.A. Gachot, et al. 10. A Weighted Boolean 
     Model for Cross-Language Text Retrieval; D. Hull. 11. Building a Large 
     Multilingual Test Collection from Comparable News Documents; P. 
     Sheridan, et al. 12. Evaluating Cross-Language Text Filtering 
     Effectiveness; D.W. Oard, B.J. Dorr. References. Index. 
     
     
     THE KLUWER INTERNATIONAL SERIES ON INFORMATION RETRIEVAL, Volume 2 
     Kluwer Academic Publishers, Boston 
     Hardbound, ISBN 0-7923-8122-X, March 1998, 200 pp.,  $115.00 
     
     FOR MORE INFORMATION ABOUT THIS PUBLICATION, PLEASE VISIT OUR On-line 
     Catalogue at: http://www.wkap.nl
     
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