Compounds in dictionary-based cross-language information retrieval

Dictionary-Based Cross-Language Information Retrieval

Clef Experiments at Maryland: Statistical Stemming and Backoo Translation

The University of Maryland participated in the CLEF 2000 multilingual task, submitting three oocial runs that explored the impact of applying language-independent stemming techniques to dictionary-based cross-language information retrieval. The paper begins by describing a cross-language information retrieval architecture based on balanced document translation. A four-stage backoo strategy for ...

Improved Cross-Language Retrieval using Backoff Translation

The limited coverage of available translation lexicons can pose a serious challenge in some cross-language information retrieval applications. We present two techniques for combining evidence from dictionary-based and corpus-based translation lexicons, and show that backoff translation outperforms a technique based on merging lexicons.

CLEF Experiments at the University of Maryland: Statistical Stemming and Back-off Translation Strategies

The University of Maryland participated in the CLEF 2000 multilingual task, submitting three o cial runs that explored the impact of applying language-independent stemming techniques to dictionary-based cross-language information retrieval. The paper begins by describing a cross-language information retrieval architecture based on balanced document translation. A four-stage backo strategy for i...

Arabic/English Cross Language Information Retrieval Using a Bilingual Dictionary

With the increase of multilingual information available online and the increase of non-native English speaker (Arabic users) browsing the Internet, it has become more important to have information retrieval systems that can carry the retrieval process across language boundaries that is, cross language information retrieval CLIR systems. The CLIR system responds to the user query in a comprehens...