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Retrieval Effectiveness of Cross Language Information Retrieval Search Engines

机译:跨语言信息检索搜索引擎的检索有效性

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This study evaluates the retrieval effectiveness of English-Chinese (EC) cross-language information retrieval (CLIR) on four common search engines along the dimensions of recall and precision. We formulated a set of simple and complex queries on different topics including queries with translation ambiguity. Three independent bilingual proficient evaluators reviewed a total of 960 returned web pages each to assess document relevance. Findings showed that CLIR effectiveness is poor with average recall and precision values of 0.165 and 0.539 for monolingual EE/CC searches, and 0.078 and 0.282 for cross lingual CE/EC searches. Google outperformed Yahoo! in the experiments, and EC and EE searches returned better results than CE and CC results respectively. As this is the first set CLIR retrieval effectiveness measurements reported in literature, these findings can serve as a benchmark and provide a better understanding of the current CLIR capabilities of Web search engines.
机译:这项研究评估了四种常见搜索引擎在回忆和精确度方面的英汉跨语言信息检索(CLIR)的检索效果。我们针对不同主题制定了一组简单和复杂的查询,包括具有翻译歧义的查询。三名独立的双语熟练评估人员总共审查了960个返回的网页,以评估文档的相关性。研究结果表明,对于单语言EE / CC搜索,CLIR效果较差,平均召回率和精确度值分别为0.165和0.539,对于跨语言CE / EC搜索,其精确度值为0.078和0.282。 Google胜过Yahoo!在实验中,EC和EE搜索分别比CE和CC搜索得到更好的结果。由于这是文献中报告的第一组CLIR检索有效性度量,因此这些发现可以作为基准,并可以更好地理解Web搜索引擎的当前CLIR功能。

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