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1
Comparing User-Assisted and Automatic Query Translation
In: DTIC AND NTIS (2005)
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2
Agent Semantic Communication Services
In: DTIC AND NTIS (2005)
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3
NTCIR CLIR Experiments at the University of Maryland
In: DTIC (2000)
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4
Translation of the Data Flow Query Language for the Multimodel, Multibackend Database System
In: DTIC AND NTIS (1994)
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5
2009 TASK
In: http://ceur-ws.org/Vol-1175/CLEF2009wn-adhoc-BoscaEt2009.pdf
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6
Statistical Machine Translation and Cross-Language IR: QMUL at CLEF 2006
In: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Monz2006.pdf
Abstract: In this year’s CLEF submissions we focus on using a state-of-the-art statistical machine trans-lation approach for ad-hoc cross-language retrieval. Our machine translation approach is phrase-based as opposed to statistical word-based approaches that have been previously used for query translation in cross-language IR. The phrase translation probabilities were estimated by using the Europarl corpus. For query formulation, we also use the n-best lists of translation candidates to assign weights to query terms. Our results show that a statistical phrase-based ap-proach is a competitive alternative to commercial, rule-based machine translation approaches in the context of cross-language IR.
Keyword: Categories and Subject Descriptors H.3 [Information Storage and Retrieval; Experimentation Keywords Cross-Language Information Retrieval; H.2.3 [Database Manage- ment; H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital Libraries; Languages—Query Languages General Terms Information Retrieval; Performance; Statistical Machine Translations
URL: http://ceur-ws.org/Vol-1172/CLEF2006wn-adhoc-Monz2006.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.6363
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