33 search results - page 5 / 7 » Machine Translation with Lattices and Forests |
ACL
2010
14 years 7 months ago
2010
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
ACL
2010
14 years 7 months ago
2010
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
84
Voted
EMNLP
2008
14 years 11 months ago
2008
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
ACL
2009
14 years 7 months ago
2009
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
91
Voted
ACL
2008
14 years 11 months ago
2008
We take a multi-pass approach to machine translation decoding when using synchronous context-free grammars as the translation model and n-gram language models: the first pass uses...