Before revision:  We propose training the aforementioned paraphraser as a multilingual NMT system, treating paraphrasing as a zero-shot "language pair" (e.g., Russian to Russian). We denote our paraphraser "unbiased" because the mode of our model 's output probability is centered around a copy of the input sequence, which in our case represent the best case scenario where the MT system output matches a human reference.
After revision:  We propose training the aforementioned paraphraser as a multilingual NMT system, treating paraphrasing as a zero-shot "language pair" (e.g., Czech to Czech). This results in the paraphraser 's output probability is centered around a copy of the input sequence, which in our case represent the best case scenario where the MT system output matches a human reference.