NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

@article{Caglayan2017NMTPYAF,
  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},
  journal={CoRR},
  year={2017},
  volume={abs/1706.00457}
}
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. 
Highly Cited
This paper has 24 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 44 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

Similar Papers

Loading similar papers…