## Abstract Information retrieval systems' ability to retrieve highly relevant documents has become more and more important in the age of extremely large collections, such as the World Wide Web (WWW). The authors' aim was to find out how corpus‐based cross‐language information retrieval (CLIR) mana
Context-based generic cross-lingual retrieval of documents and automated summaries
✍ Scribed by Wai Lam; Ki Chan; Dragomir Radev; Horacio Saggion; Simone Teufel
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 193 KB
- Volume
- 56
- Category
- Article
- ISSN
- 1532-2882
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✦ Synopsis
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.
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