Abstract. The Multiple Bernoulli (MB) Language Model has been generally considered too computationally expensive for practical purposes and superseded by the more efficient multino...
In this paper, we propose a new method for computing and applying language model look-ahead in a dynamic network decoder, exploiting the sparseness of backing-off n-gram language ...
Modern embedded systems are often heterogeneous in that their design requires several description paradigms, based on different models of computation and concurrency (MoCCs). In th...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
We propose a new computation model which combines the operational principles of functional languages (reduction), logic languages (non-deterministic search for solutions), and int...