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TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit

dc.contributor.authorHe, Daqingen_US
dc.contributor.authorPark, Hyuk Roen_US
dc.contributor.authorMurray, G. Craigen_US
dc.contributor.authorSubotin, Michaelen_US
dc.contributor.authorOard, Douglas W.en_US
dc.description.abstractThe University of Maryland submitted six topic tracking runs for the 2002 Topic Detection and Tracking evaluation. Two runs were produced using the Lemur language modeling toolkit, the remaining four were produced using an separate system coded in Perl. The Lemur runs outperformed the Perl runs on the required condition because term frequency information was better handled. Two of the Perl runs used native Arabic orthography with two-best translation based on a statistical lexicon, obtaining similar results to those obtained with the Arabic-to-English translations provided with the collection. UMIACS-TR-2003-24 LAMP-TR-099en_US
dc.format.extent262352 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4454en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2003-24en_US
dc.titleTDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkiten_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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