Detection of Translational Equivalence
dc.contributor.author | Smith, Noah A. | en_US |
dc.date.accessioned | 2004-05-31T23:11:05Z | |
dc.date.available | 2004-05-31T23:11:05Z | |
dc.date.created | 2001-05 | en_US |
dc.date.issued | 2001-09-05 | en_US |
dc.description.abstract | I propose a general algorithm for detecting translational equivalence between text samples in different languages. This algorithm is based on current approaches to duplicate detection, and it relies on information which can be automatically learned from parallel text. I also show experimental results which support the hypothesis that translational equivalence is empirically observable. In addition, these results suggest profitable directions for improving performance on this recognition task. Cross-referenced as UMIACS-TR-2001-36 Cross-referenced as LAMP-TR-071 | en_US |
dc.format.extent | 606271 bytes | |
dc.format.mimetype | application/postscript | |
dc.identifier.uri | http://hdl.handle.net/1903/1137 | |
dc.language.iso | 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 |
dc.relation.ispartofseries | UM Computer Science Department; CS-TR-4253 | en_US |
dc.relation.ispartofseries | UMIACS; UMIACS-TR-2001-36 | en_US |
dc.relation.ispartofseries | LAMP-TR-071 | en_US |
dc.title | Detection of Translational Equivalence | en_US |
dc.type | Technical Report | en_US |