Google Inc.

The J. David Gladstone Institutes

Xu Chen

Yonghui Wu

Zhifeng Chen

Niki J Parmar

Wolfgang Macherey

Melvin Jose Johnson Premkumar

Michael Schuster

Llion Owen Jones

Ankur Bapna

Orhan Firat

Macduff Richard Hughes

George Foster

Brian Strope

Timothy Youngjin Sohn

Eric M Verdin

Tobias Kaufmann

Yun-hsuan Sung

Li Gan

Benjamin N Lee

Gregory R Bullock

Paul Roland Lambert

Matthew Vincent Dierker

Jacqueline Amy Tsay

Gagan Bansal

Rami Eid Sammouf Al-Rfou'

Min Xie

Katherine Anna Evans

Cole Austin Bevis

Tobias Bosch

Yinan Wang

Kaushik Roy

Justin Tzi-jay Lu

Do Kook Choe

Ettore Randazzo

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine translation using neural networks. In some implementations, a text in one language is translated into a second language using a neural network model. The model can include an encoder neural network comprising a plurality of bidirectional recurrent neural network layers. The encoding vectors are processed using a multi-headed attention module configured to generate multiple attention context vectors for each encoding vector. A decoder neural network generates a sequence of decoder output vectors using the attention context vectors. The decoder output vectors can represent distributions over various language elements of the second language, allowing a translation of the text into the second language to be determined based on the sequence of decoder output vectors.

Machine translation using neural network models

A computing system is described that includes user interface components configured to receive typed user input; and one or more processors. The one or more processors are configured to: receive, by a computing system and at a first time, a first portion of text typed by a user in an electronic message being edited; predict, based on the first portion of text, a first candidate portion of text to follow the first portion of text; output, for display, the predicted first candidate portion of text for optional selection to append to the first portion of text; determine, at a second time that is after the first time, that the electronic message is directed to a sensitive topic; and responsive to determining that the electronic message is directed to a sensitive topic, refrain from outputting subsequent candidate portions of text for optional selection to append to text in the electronic message.

Selective text prediction for electronic messaging

The present disclosure provides methods of reducing the level of acetylated Tau in a neuron or a glial cell in an individual, the methods involving administering to the individual a prodrug that is converted in the individual to salicylate. The present disclosure provides methods of treating a tauopathy in an individual, the methods involving administering to the individual a prodrug that is converted in the individual to salicylate.

Methods for treating tauopathy

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San Francisco, CA, United States of America

Xu Chen