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1
TREC 2008 at the University at Buffalo: Legal and Blog Track
In: DTIC (2008)
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2
Overview of the CLEF-2006 cross-language speech retrieval track
In: Oard, Douglas W., Wang, Jianqiang, Jones, Gareth J.F. orcid:0000-0003-2923-8365 , White, Ryen W., Pecina, Pavel, Soergel, Dagobert, Huang, Xiaoli and Shafran, Izhak (2007) Overview of the CLEF-2006 cross-language speech retrieval track. In: CLEF 2006: Workshop on Cross-Language Information Retrieval and Evaluation, 20-22 Sept. 2006, Alicante, Spain. (2007)
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3
TREC-2006 at Maryland: Blog, Enterprise, Legal and QA Tracks
In: DTIC (2006)
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4
Comparing User-Assisted and Automatic Query Translation
In: DTIC AND NTIS (2005)
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5
Mandarin-English Information (MEI) : investigating translingual speech retrieval
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 2, 163-179
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6
Mandarin-English Information (MEI): investigating translingual speech retrieval
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 2, 163-180
OLC Linguistik
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7
Interactive cross-language document selection
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 7 (2004) 1-2, 205-228
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8
Les dictionnaires électroniques
Zock, Michael (Hrsg.); Carroll, John (Hrsg.); Baldwin, Timothy (Mitarb.)...
In: Traitement automatique des langues. - Saint-Cloud : ATALA 44 (2003) 2, 7-245
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9
Parsing and Tagging of Bilingual Dictionary
In: DTIC (2003)
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10
Parsing and Tagging of Binlingual Dictionary
In: DTIC (2003)
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11
Comparing User-assisted and Automatic Query Translation
In: DTIC (2003)
Abstract: For the 2002 Cross-Language Evaluation Forum Interactive Track, the University of Maryland team focused on query formulation and reformulation. Twelve people performed a total of forty eight searches in the German document collection using English queries. Half of the searches were with user-assisted query translation, and half with fully automatic query translation. For the user-assisted query translation condition, participants were provided two types of cues about the meaning of each translation: a list of other terms with the same translation (potential synonyms) and a sentence in which the word was used in a translation-appropriate context. Four searchers performed the official iCLEF task, the other eight searched a smaller collection. Searchers performing the official task were able to make more accurate relevance judgments with user-assisted query translation for three of the four topics. We observed that the number of query iterations seems to vary systematically with topic, system, and collection, and we are analyzing query content and ranked retrieval measures to obtain further insight into these variations in search behavior. ; Additional rept. numbers: CS-TR-4453 and UMIACS-TR-2003-23. Sponsored in part by Space and Naval Warfare Systems Center (SPAWAR) contract no. N66001-00-2-8910; in part by National Science Foundation (NSF) grant no. EIA-0130422; and in part by Defense Advanced Research Projects Agency (DARPA).
Keyword: *COMPARISON; *FORMULATIONS; *INFORMATION RETRIEVAL; *LANGUAGE TRANSLATION; *QUERY TRANSLATION; AUTOMATIC; CLIR(CROSS LANGUAGE INFORMATION RETRIEVAL); INDEX TERMS; Information Science; INTERACTIONS; PATTERN RECOGNITION; QUERY FORMULATION; SEARCHING; TEXT SEARCHING; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA459243
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459243
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12
Comparing User-assisted and Automatic Query Translation
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13
NTCIR CLIR Experiments at the University of Maryland
In: DTIC (2000)
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14
TREC-8 Experiments at Maryland: CLIR, QA and Routing
In: DTIC (2000)
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