Context-based generic cross-lingual retrieval of documents and automated summaries: Research Articles

Authors:
Wai Lam;Ki Chan;Dragomir Radev;Horacio Saggion;Simone Teufel
Affiliations:
Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China;Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China;School of Information and Department of EECS, University of Michigan, 3080 West Hall Connector, Ann Arbor, MI 48109-1092;Department of Computer Science, Regent Court, 211 Portobello Street, S1 4DP Sheffield, United Kingdom;Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, CB0 3FD Cambridge, United Kingdom
Venue:
Journal of the American Society for Information Science and Technology
Year:
2005

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Abstract

We develop a context-based generic cross-lingual retrieval model that can deal with different language pairs. Our model considers contexts in the query translation process. Contexts in the query as well as in the documents based on co-occurrence statistics from different granularity of passages are exploited. We also investigate cross-lingual retrieval of automatic generic summaries. We have implemented our model for two different cross-lingual settings, namely, retrieving Chinese documents from English queries as well as retrieving English documents from Chinese queries. Extensive experiments have been conducted on a large-scale parallel corpus enabling studies on retrieval performance for two different cross-lingual settings of full-length documents as well as automated summaries. © 2005 Wiley Periodicals, Inc.