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Comparing User-assisted and Automatic Query Translation

dc.contributor.authorHe, Daqingen_US
dc.contributor.authorWang, Jianqiangen_US
dc.contributor.authorOard, Douglas W.en_US
dc.contributor.authorNossal, Michaelen_US
dc.description.abstractFor 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. UMIACS-TR-2003-23 LAMP-TR-098 HCIL-TR-2003-07en_US
dc.format.extent741448 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4453en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2003-23en_US
dc.titleComparing User-assisted and Automatic Query Translationen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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