Knowledge Sources for Word-Level Translation Models (2001)
by
Philipp Koehn
,
Kevin Knight
| Venue: | In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing |
| Citations: | 26 - 2 self |
BibTeX
@INPROCEEDINGS{Koehn01knowledgesources,
author = {Philipp Koehn and Kevin Knight},
title = {Knowledge Sources for Word-Level Translation Models},
booktitle = {In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing},
year = {2001},
pages = {27--35}
}
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Abstract
We present various methods to train word-level translation models for statistical machine translation systems that use widely different knowledge sources ranging from parallel corpora and a bilingual lexicon to only monolingual corpora in two languages. Some novel methods are presented and previously published methods are reviewed. Also, a common evaluation metric enables the first quantitative comparison of these approaches.
