27 search results - page 3 / 6 » Feature Forest Models for Probabilistic HPSG Parsing |
NAACL
2010
13 years 3 months ago
2010
We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finitestate translation model. The forest structur...
EMNLP
2008
13 years 7 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...
EMNLP
2004
13 years 7 months ago
2004
We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...
EMNLP
2007
13 years 7 months ago
2007
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
ICML
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...