248 search results - page 17 / 50 » Bayesian Word Alignment for Statistical Machine Translation |
76
Voted
ACL
2010
14 years 7 months ago
2010
Factored Statistical Machine Translation extends the Phrase Based SMT model by allowing each word to be a vector of factors. Experiments have shown effectiveness of many factors, ...
78
Voted
EMNLP
2007
14 years 11 months ago
2007
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
COLING
2010
14 years 4 months ago
2010
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
COLING
2008
14 years 11 months ago
2008
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
ACL
2009
14 years 7 months ago
2009
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...