Synthetic and Natural Noise Both Break Neural Machine Translation

ICLR 2018 Yonatan BelinkovYonatan Bisk

Character-based neural machine translation (NMT) models alleviate out-of-vocabulary issues, learn morphology, and move us closer to completely end-to-end translation systems. Unfortunately, they are also very brittle and easily falter when presented with noisy data... (read more)

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