N- BEST SOFTMAX SMOOTHING FOR MINIMUM BAYES RISK TRAINING OF ATTENTION BASED SEQUENCE-TO-SEQUENCE MODELS

摘要

A method and apparatus are provided that analyzing sequence-to-sequence data, such as sequence-to-sequence speech data or sequence-to-sequence machine translation data for example, by minimum Bayes risk (MBR) training a sequence-to-sequence model and within introduction of applications of softmax smoothing to an N-best generation of the MBR training of the sequence-to-sequence model.