Date of Original Version

2000

Type

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.

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