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Titlebook: Cross-Language Information Retrieval and Evaluation; Workshop of Cross-La Carol Peters Conference proceedings 2001 Springer-Verlag Berlin H

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Writing an Eff effctive Discussion,Our approach is based on query translation. The queries were translated using free dictionaries and then disambiguated using an aligned corpus. The experiments were done using our connexionist system Mercure.
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The Domain-Specific Task of CLEF - Specific Evaluation Strategies in Cross-Language Information RetrThis paper describes the domain-specific cross-language information retrieval (CLIR) task of CLEF, why and how it is important and how it differs from general cross-language retrieval problem associated with the general CLEF collections. The inclusion of a domainspecific document collection and topics has both advantages and disadvantages
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CLIR Evaluation at TRECn the Text REtrieval Conference (TREC). Twentytwo participating systems used topics (test questions) in one language to retrieve documents written in English, French, German, and Italian. A large-scale multilingual test collection has been built and a new technique for building such a collection in
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NTCIR Workshop : Japanese- and Chinese-English Cross-Lingual Information Retrieval and Multi-grade R, cross-lingual information retrieval, and related text processing techniques such as summarization, extraction, etc. by providing large-scale test collections and a forum of researchers. Twenty-eight groups from six countries participated in the first workshop and forty-six groups from eight countr
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Evaluating Interactive Cross-Language Information Retrieval: Document Selectionguage Information Retrieval (CLIR) technology. The first Cross-Language Evaluation Forum (CLEF) provided an excellent venue for assessing the performance of automated CLIR techniques, but little is known about how searchers and systems might interact to achieve better cross-language search results t
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Research to Improve Cross-Language Retrieval — Position Paper for CLEFmming and parallel and comparable corpora, use of pivot languages, as well as phonetic transliteration and Romanization. Application of these methodologies should contribute to a gradual increase in the ability of search software to cross the language barrier.
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