NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

  title={NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems},
  author={Ozan Caglayan and Mercedes Garc{\'i}a-Mart{\'i}nez and Adrien Bardet and Walid Aransa and Fethi Bougares and Lo{\"i}c Barrault},
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. 
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