NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jun 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1.
2 papers.