From: A hybrid input-type recurrent neural network for LVCSR language modeling
Tasks | LM | H-R1 | H-R2 | ||||
---|---|---|---|---|---|---|---|
 | #Word | 30 K | 25 K | 20 K | 30 K | 25 K | 20 K |
 | #PM | 5 K | 10 K | 15 K | 5 K | 10 K | 15 K |
BN | PER (%) | 18.84 | 18.85 | 18.89 | 18.84 | 18.81 | 18.86 |
 | WER (%) | 22.16 | 22.19 | 22.24 | 22.15 | 22.13 | 22.18 |
VT | PER (%) | 18.79 | 18.86 | 18.76 | 18.41 | 18.41 | 18.56 |
 | WER (%) | 21.57 | 21.66 | 21.57 | 21.27 | 21.27 | 21.47 |
AVG. | PER (%) | 18.82 | 18.86 | 18.83 | 18.63 | 18.61 | 18.71 |
 | WER (%) | 21.87 | 21.93 | 21.91 | 21.71 | 21.70 | 21.83 |