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mWER loss implementation in tensorflow

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看了论文也不太明白,是和CE loss加权吗?但是weighted_relative_edit_errors最后应该会出现负数的情况吧?负数怎么作为loss回传呢?

It seems that your mwer loss implementation needs prior beam search for inputs for mwer_loss function. We can get 'seq_logprobs' during beam search for each hypothesis, however, your implementation seems...

thanks for sharing implementation of mwer, Have you reproduced results mentioned in the paper of Rohit Prabhavalkar etc. MINIMUM WORD ERROR RATE TRAINING FOR ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELS