39 search results - page 4 / 8 » A Maximum Entropy Minimum Divergence Translation Model |
ACL
2003
14 years 10 months ago
2003
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
CIKM
2005
Springer
15 years 2 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
ACL
2006
14 years 10 months ago
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
AI
1998
Springer
14 years 9 months ago
1998
Springer
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
COLING
2008
14 years 11 months ago
2008
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...