Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisa...
Junho Park, Xunying Liu, Mark J. F. Gales, Philip ...
We describe an approach to modeling biological networks by action languages via answer set programming. To this end, we propose an action language for modeling biological networks...
Steve Dworschak, Susanne Grell, Victoria J. Nikifo...
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Wireless sensor networks are often used by experts in many different fields to gather data pertinent to their work. Although their expertise may not include software engineering, ...
Alan Dearle, Dharini Balasubramaniam, Jonathan Lew...