Corpus-based Query Translation for Translingual Information Retrieval
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چکیده
منابع مشابه
Translingual Information Retrieval: Learning from Bilingual Corpora
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more diierent languages. This paper introduces new TLIR methods and reports on comparative TLIR experiments with these new methods and with previously reported ones in a realistic setting. Methods fall into two categories: query translation and statistical-IR appr...
متن کاملTranslingual Information Retrieval: Learning from Bilingual Corpora (ai Journal Special Issue: Best of Ijcai-97)
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more diierent languages. This paper introduces new TLIR methods and reports on comparative TLIR experiments with these new methods and with previously reported ones in a realistic setting. Methods fall into two categories: query translation and statistical-IR appr...
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Translingual information retrieval TIR con sists of providing a query in one language and searching document collections in one or more di erent languages This paper introduces new TIR methods and reports on comparative TIR experiments with these new methods and with previously reported ones in a realistic setting Methods fall into two categories query trans lation based and statistical IR appr...
متن کاملTranslingual Mining from Text Data
Like full-text translation, cross-language information retrieval (CLIR) is a task that requires some form of knowledge transfer across languages. Although robust translation resources are critical for constructing high quality translation tools, manually constructed resources are limited both in their coverage and in their adaptability to a wide range of applications. Automatic mining of transl...
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In an ideal cross-lingual information retrieval (CLIR) system, a user query would generate a search over documents in a different language and the relevant results would be presented in the user’s language. In practice, CLIR systems are typically evaluated by judging result relevance in the document language, to factor out the effects of translating the results using machine translation (MT). I...
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تاریخ انتشار 1997