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Language-Dependent and Language-Independent Approaches to Cross-Lingual Text Retrieval

机译:语言依赖和独立语言的跨语言检索方法

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We investigate the effectiveness of language-dependent approaches to document retrieval, such as stemming and decompounding, and constrast them with language-independent approaches, such as character n-gramming. In order to reap the benefits of more than one type of approach, we also consider the effectiveness of the combination of both types of approaches. We focus on document retrieval in nine European languages: Dutch, English, Finnish, French, German, Italian, Russian, Spanish and Swedish. We look at four different information retrieval tasks: monolingual, bilingual, multilingual, and domain-specific retrieval. The experimental evidence is obtained using the 2003 test suite of the cross-language evaluation forum (CLEF).
机译:我们调查语言依赖方法对文件检索的有效性,例如茎干和分解,并用独立于语言的方法约束它们,例如字符N-raming。 为了获得多种类型的方法的益处,我们还考虑两种方法组合的有效性。 我们专注于九种欧洲语言的文件检索:荷兰语,英语,芬兰语,法语,德语,意大利语,俄语,西班牙语和瑞典语。 我们查看四种不同的信息检索任务:单语,双语,多语言和特定于域的检索。 使用2003年的跨语言评估论坛(CLEF)的测试套件获得了实验证据。

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