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中文摘要：
该文提出了一种从搜索引擎返回的结果网页中获取双语网页的新方法,该方法分为两个任务。第一个任务是自动地检测并收集搜索引擎返回的结果网页中的数据记录。该步骤通过聚类的方法识别出有用的记录摘要并且为下一个任务即高质量双语混合网页的验证及其获取提供有效特征。该文中把双语混合网页的验证看作是有效的分类问题,该方法不依赖于特定领域和搜索引擎。基于从搜索引擎收集并经过人工标注的2 516条检索结果记录,该文提出的方法取得了81.3%的精确率和94.93%的召回率。
英文摘要：
A new approach has been developed for acquiring bilingual web pages from the result pages of search engines,which is composed of two challenging tasks.The first task is to detect web records embedded in the result pages automatically via a clustering method of a sample page.Identifying these useful records through the clustering method allows the generation of highly effective features for the next task which is high-quality bilingual web page acquisition.The task of high-quality bilingual web page acquisition is assumed as a classification problem.One advantage of our approach is that it is independent of the search engine and the domain.The test is based on 2 516 records extracted from six search engines automatically and annotated manually,which gets a high precision of 81.3% and a recall of 94.93%.The experimental results indicate that our approach is very effective.
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