Discriminative Training and Maximum Entropy Models for Statistical Machine Translation (2002)
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by
Franz Josef Och
,
Hermann Ney
| Citations: | 256 - 13 self |
BibTeX
@INPROCEEDINGS{Och02discriminativetraining,
author = {Franz Josef Och and Hermann Ney},
title = {Discriminative Training and Maximum Entropy Models for Statistical Machine Translation},
booktitle = {},
year = {2002},
pages = {295--302}
}
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Abstract
We present a framework for statistical machine translation of natural languages based on direct maximum entropy models, which contains the widely used source -channel approach as a special case. All knowledge sources are treated as feature functions, which depend on the source language sentence, the target language sentence and possible hidden variables.
