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