کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
515428 | 867013 | 2012 | 23 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Matching meaning for cross-language information retrieval Matching meaning for cross-language information retrieval](/preview/png/515428.png)
This article describes a framework for cross-language information retrieval that efficiently leverages statistical estimation of translation probabilities. The framework provides a unified perspective into which some earlier work on techniques for cross-language information retrieval based on translation probabilities can be cast. Modeling synonymy and filtering translation probabilities using bidirectional evidence are shown to yield a balance between retrieval effectiveness and query-time (or indexing-time) efficiency that seems well suited large-scale applications. Evaluations with six test collections show consistent improvements over strong baselines.
► We describe a framework for cross-language information retrieval.
► The framework leverages statistical estimation of translation probabilities.
► It models synonymy and bidirectional translation knowledge.
► It yields a balance between retrieval effectiveness and efficiency.
► Evaluations show consistent improvements over strong baselines.
Journal: Information Processing & Management - Volume 48, Issue 4, July 2012, Pages 631–653