Sixth International Conference on Spoken Language Processing (ICSLP 2000)
October 16-20, 2000
Can Artificial Neural Networks Learn Language Models?
Wei Xu, Alex Rudnicky
School of Compueter Science, Carnegie Mellon University
Pittsburgh, PA, USA
Currently, N-gram models are the most common and widely
used models for statistical language modeling. In this paper, we
investigated an alternative way to build language models, i.e.,
using artificial neural networks to learn the language model.
Our experiment result shows that the neural network can learn a
language model that has performance even better than standard
Xu, Wei / Rudnicky, Alex (2000):
"Can artificial neural networks learn language models?",
In ICSLP-2000, vol.1, 202-205.