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...
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...
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...
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...
Coordination languages were introduced in the early 80's as programming notations to manage the interaction among concurrent collaborating software entities. Process algebras...