27 Jun19 Issue #43 – Improving Overcorrection Recovery in Neural MT Author: Raj Patel, Machine Translation Scientist @ Iconic In Neural MT, at training time, the model predicts the current word with the ground truth word (previous word in the sequence) as a context, while at inference time it has to generate the complete sequence. This discrepancy in training and inference often leads to an accumulation of errors in the translation process, resulting in out-of-context translations. In this post we’ll discuss […]