Sixth International Conference on Spoken Language Processing (ICSLP 2000)

Beijing, China
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 statistical methods.


Full Paper

Bibliographic reference.  Xu, Wei / Rudnicky, Alex (2000): "Can artificial neural networks learn language models?", In ICSLP-2000, vol.1, 202-205.