Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing For Automatic Speech Recognition

Recurrent neural network language models (RNNLMs) have become very successful in many natural language processing tasks. However, RNNLMs trained with a cross entropy loss function and hard output targets are prone to overfitting, which weakens the languag
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