$ k $-Nearest neighbor machine translation ($ k $ NN-MT) has attracted increasing attention
due to its ability to non-parametrically adapt to new translation domains. By using an …

Nearest neighbor machine translation (k NN-MT), which interpolates target token
probabilities with estimates derived from additional examples, has achieved significant …

This paper rethinks translation memory augmented neural machine translation (TM-
augmented NMT) from two perspectives, ie, a probabilistic view of retrieval and the variance …

Nearest Neighbor Machine Translation (kNNMT) is a simple and effective method of
augmenting neural machine translation (NMT) with a token-level nearest neighbor retrieval …

Neural machine translation has achieved promising results on many translation tasks.
However, previous studies have shown that neural models induce a non-smooth …