Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...
Hai Son Le, Ilya Oparin, Alexandre Allauzen, Jean-...
Abstract. Test processes in the automotive industry are tool-intensive and affected by technologically heterogeneous test infrastructures. In the industrial practice a product has ...
Juergen Grossmann, Ines Fey, Alexander Krupp, Mirk...
Model Driven Engineering (MDE) proposes a software development process in which software is built by constructing one or more models, and transforming these into other models. In t...
Roxana S. Giandini, Claudia Pons, Gabriela P&eacut...
We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial ma...