Cognates can improve statistical translation models

Authors:
Grzegorz Kondrak;Daniel Marcu;Kevin Knight
Affiliations:
University of Alberta, Edmonton, AB, Canada;University of Southern California, Marina del Rey, CA;University of Southern California, Marina del Rey, CA
Venue:
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Year:
2003

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Abstract

We report results of experiments aimed at improving the translation quality by incorporating the cognate information into translation models. The results confirm that the cognate identification approach can improve the quality of word alignment in bitexts without the need for extra resources.