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Table 4 WER for development 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 (%) 11.7 11.6 11.6 11.7
LM-KN5 + RNNLM-Brown (%) 11.5 115̇ 11.5 11.4
  1. The WER of 1-best hypothesis is 13.4% and the WER for LM-KN5 is 12.9%.