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Can Artificial Neural Networks Learn Language Models?
Computer Science Department
  • Wei Xu, Carnegie Mellon University
  • Alexander I Rudnicky, Carnegie Mellon University
Date of Original Version
Conference Proceeding
Abstract or Description

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.

Citation Information
Wei Xu and Alexander I Rudnicky. "Can Artificial Neural Networks Learn Language Models?" (2000)
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