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• W2107880004 abstract "The complexity of human language makes accessing multilingual information difficult. Most cross-language retrieval systems attempt to address linguistic variation through language-specific techniques and resources. In contrast, APL has developed a multilingual information retrieval system, the Hopkins Automated Information Retriever for Combing Unstructured Text (HAIRCUT), which incorporates five language-neutral techniques: character n-gram tokenization, a proprietary term similarity measure, a language model document similarity metric, pre-translation query expansion, and exploitation of parallel corpora. Through extensive empirical evaluation on multiple internationally developed test sets we have demonstrated that the knowledge-light, language-neutral approach used in HAIRCUT can achieve state-of-the-art retrieval performance. In this article we discuss the key techniques used by HAIRCUT and report on experiments verifying the efficacy of these methods." @default.
• W2107880004 created "2016-06-24" @default.
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• W2107880004 date "2005-01-01" @default.
• W2107880004 modified "2023-09-23" @default.
• W2107880004 title "The HAIRCUT information retrieval system" @default.
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