137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal

We invited Urvashi Khandelwal, a research scientist at Google Brain to talk about nearest neighbor language and machine translation models. These models interpolate parametric (conditional) language models with non-parametric distributions over the closest values in some data stores built from relevant data. Not only are these models shown to outperform the usual parametric language models, they also have important implications on memorization and generalization in language models.

Urvashi's webpage: https://urvashik.github.io
Papers discussed:
1) Generalization through memorization: Nearest Neighbor Language Models …

brain data data stores google google brain language language models machine machine translation modeling non-parametric parametric research talk translation values