38 search results - page 2 / 8 » Inducing Probabilistic Grammars by Bayesian Model Merging |
NAACL
2010
13 years 3 months ago
2010
This paper describes an efficient sampler for synchronous grammar induction under a nonparametric Bayesian prior. Inspired by ideas from slice sampling, our sampler is able to dra...
NIPS
1992
13 years 6 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
EMNLP
2009
13 years 3 months ago
2009
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
JMLR
2010
12 years 12 months ago
2010
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...