<p>Currently, N-gram models are the most common and widely<br>used models for statistical language modeling. In this paper, we<br>investigated an alternative way to build language models, i.e.,<br>using artificial neural networks to learn the language model.<br>Our experiment result shows that the neural network can learn a<br>language model that has performance even better than standard<br>statistical methods.</p>