NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems (2017-06-01T00:00:00.000000Z)

Abstract

Abstract In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decouples the specification of a network from the training and inference utilities to simplify the addition of a new architecture and reduce the amount of boilerplate code to be written. nmtpy has been used for LIUM’s top-ranked submissions to WMT Multimodal Machine Translation and News Translation tasks in 2016 and 2017.

Authors

Loïc Barrault

10 papers

Fethi Bougares

4 papers

Ozan Caglayan

4 papers

Abstract

Authors

References40 items

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