2020
Integrating Discrete and Neural Features Via Mixed-Feature Trans-Dimensional Random Field Language Models
ICASSP 2020accepted
There has been a long recognition that discrete features (n-gram features) and neural network based features have complementary strengths for language models (LMs). Improved performance can be obtained by model interpolation, which is, however, a sub-optimal two-step integration of discrete and neur…