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86
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LREC
2010
169views Education» more  LREC 2010»
15 years 2 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada
59
Voted
ACL
2006
15 years 2 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
85
Voted
OTM
2010
Springer
14 years 11 months ago
A Context-Based Model for the Interpretation of Polysemous Terms
The problem of polysemy involves having terms, such as “truck”, that refer to multiple concepts in different contexts; and conversely, having the same concept referred to with...
Chrisa Tsinaraki, Yannis Velegrakis, Nadzeya Kiyav...
112
Voted
NIPS
2008
15 years 2 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
JLP
2008
121views more  JLP 2008»
14 years 11 months ago
A process algebraic view of shared dataspace coordination
Coordination languages were introduced in the early 80's as programming notations to manage the interaction among concurrent collaborating software entities. Process algebras...
Nadia Busi, Gianluigi Zavattaro