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SIGIR
2012
ACM

Looking inside the box: context-sensitive translation for cross-language information retrieval

8 years 4 months ago
Looking inside the box: context-sensitive translation for cross-language information retrieval
Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical translation models (e.g., using Synchronous Context-Free Grammars) are far richer, capturing multi-term phrases, term dependencies, and contextual constraints on translation choice. We present a novel CLIR framework that is able to reach inside the translation “black box” and exploit these sources of evidence. Experiments on the TREC-5/6 EnglishChinese test collection show this approach to be promising. Categories and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval
Ferhan Türe, Jimmy J. Lin, Douglas W. Oard
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where SIGIR
Authors Ferhan Türe, Jimmy J. Lin, Douglas W. Oard
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