Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
The following article is motivated by the current efforts of the Object Management Group (OMG) to standardize object-oriented modelling languages. In the face of the great economi...
Abstract. There is no standard modelling language for constraint programming (CP) problems. Most solvers have their own modelling language. This makes it difficult for modellers to...
Nicholas Nethercote, Peter J. Stuckey, Ralph Becke...
Organizations are under increasing scrutiny to document their compliance to regulatory requirements. To this end, they have to formally document their operating procedures to supp...
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...