Google Inc.

National Research Council of Canada

George Foster

Wolfgang Macherey

Yonghui Wu

Zhifeng Chen

Niki J Parmar

Melvin Jose Johnson Premkumar

Michael Schuster

Llion Owen Jones

Ankur Bapna

Orhan Firat

Macduff Richard Hughes

Xu Chen

Colin Andrew Cherry

Roland Kuhn

Naveen Arivazhagan

Te I

Pallavi N Baljekar

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

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for re-translation for simultaneous, spoken-language machine translation. In some implementations, a stream of audio data comprising speech in a first language is received. A transcription for the speech in the stream of audio data is generated using an automated speech recognizer through a series of updates. A translation of the transcription into a second language is generated using a machine translation module. The translation is generated with translation iterations that translate increasing amounts of the transcription, including re-translating previously portions of the transcription. A series of translation updates are provided to a client device based on the translation iterations.

Re-translation for simultaneous, spoken-language machine translation

This invention relates to a means and a method for translating source text into a target text where the context information is taken into consideration. A source text unit is defined around a translation unit which is to be translated. This source text unit is mapped onto a bilingual sublanguage space where the bilingual sublanguage space comprises a source sublanguage space and mappings to the target language. The translation is adapted to the source text unit, thereby considering contextual information.

Statistical machine translation adapted to context

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Ottawa, Canada

George Foster