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Table 5 WER for evaluation set rescored with different RNNLMs and LM-KN5

From: RNN language model with word clustering and class-based output layer

  Class
Model 50 100 200 400
LM-KN5 + RNNLM-Freq (%) 13.0 13.1 13.0 13.1
LM-KN5 + RNNLM-Brown (%) 12.7 12.7 12.7 12.4
  1. The WER of 1-best hypothesis is 14.1% and the WER for LM-KN5 is 13.8%.