This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins, Mark...
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
We define the crouching Dirichlet, hidden Markov model (CDHMM), an HMM for partof-speech tagging which draws state prior distributions for each local document context. This simple...
UML statechart diagrams have become an important technique for describing the dynamic behavior of a software system. They are also a significant element of OO design, especially in...
In this paper, we introduce MaDcAr, a model of engines for dynamic and automatic (re)assembling of component-based software. In MaDcAr, an application description consists of the d...