The major goal of the loss functions is to support the model in generating the simplified word "winner" while deterring the model from generating the word "recipient".
for an applicable simplification rule, our new loss function maximizes the probability of generating the simplified form (word "winner") and meanwhile minimizes the probability of generating the original form (word "recipient").