dc.contributor.author | He, Daqing | en_US |
dc.contributor.author | Park, Hyuk Ro | en_US |
dc.contributor.author | Murray, G. Craig | en_US |
dc.contributor.author | Subotin, Michael | en_US |
dc.contributor.author | Oard, Douglas W. | en_US |
dc.date.accessioned | 2004-05-31T23:26:26Z | |
dc.date.available | 2004-05-31T23:26:26Z | |
dc.date.created | 2003-02 | en_US |
dc.date.issued | 2003-02-27 | en_US |
dc.identifier.uri | http://hdl.handle.net/1903/1266 | |
dc.description.abstract | The 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-099 | en_US |
dc.format.extent | 262352 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.relation.ispartofseries | UM Computer Science Department; CS-TR-4454 | en_US |
dc.relation.ispartofseries | UMIACS; UMIACS-TR-2003-24 | en_US |
dc.relation.ispartofseries | LAMP-TR-099 | en_US |
dc.title | TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit | en_US |
dc.type | Technical Report | en_US |
dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_US |
dc.relation.isAvailableAt | University of Maryland (College Park, Md.) | en_US |
dc.relation.isAvailableAt | Tech Reports in Computer Science and Engineering | en_US |
dc.relation.isAvailableAt | UMIACS Technical Reports | en_US |