We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
In this paper we present a novel formulation for the optimal control of discrete event dynamic processes which represent production systems with unreliable machines and buffers of...
We address the problem of simplifying Portuguese texts at the sentence level treating it as a "translation task". We use the Statistical Machine Translation (SMT) framewo...
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...