248 search results - page 17 / 50 » Bayesian Word Alignment for Statistical Machine Translation |
85
Voted
ACL
2010
14 years 9 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, ...
EMNLP
2007
15 years 1 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 6 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
15 years 1 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 9 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...