Two key assumptions shape the usual view of ranked retrieval: (1) that the searcher can choose words for their query that might appear in the documents that they wish to see, and (2) that ranking retrieved documents will suffice because the searcher will be able to recognize those which they wished to find. When the documents to be searched are in a language not known by the searcher, neither assumption is true. In such cases, Cross-Language Information Retrieval (CLIR) is needed. This chapter reviews the state of the art for CLIR and outlines some open research questions.
翻译：两种关键假设决定了排序检索的通常观点:(1) 查询人可以选择其查询可能出现在他们希望看到的文件中的词句,(2) 排序检索到的文件足够,因为查询人能够识别他们希望找到的文件。当要搜索的文件使用搜索人所不知道的语言时,这两个假设都不是真实的。在这种情况下,需要跨语言信息检索(CLIR) 。本章回顾了CLIR的最新状况,并概述了一些开放式研究问题。
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