利用维基百科的自然智能进行跨语言信息检索
Employing Wikipedia's Natural Intelligence For Cross Language Information Retrieval
摘要：
在本文中，我们提出了一种新的方法检索信息的语言以外的查询。我们使用这种技术与现有的传统的跨语言信息检索（CLIR）技术相结合，以改善他们的结果。该方法与依赖于机器翻译来翻译查询然后使用机器翻译来搜索目标文档空间的传统技术相比具有许多优点。该方法不限于所需语言的机器翻译算法的可用性，并且使用互联网上已经存在的容易获得的翻译信息源作为“中间人”方法。在本文中，我们使用维基百科;然而，可以使用任何类似的多语言，交叉引用的文档主体。出于评估和比较的目的，我们还分别实现了传统的机器翻译方法和Wikipedia方法。
英文摘要：
In this paper we present a novel method for retrieving information in languages other than that of the query. We use this technique in combination with existing traditional Cross Language Information Retrieval (CLIR) techniques to improve their results. This method has a number of advantages over traditional techniques that rely on machine translation to translate the query and then search the target document space using a machine translation. This method is not limited to the availability of a machine translation algorithm for the desired language and uses already existing sources of readily available translated information on the internet as a "middle-man" approach. In this paper we use Wikipedia; however, any similar multilingual, cross referenced body of documents can be used. For evaluation and comparison purposes we also implemented a traditional machine translation approach separately as well as the Wikipedia approach separately.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
