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We present NMT-Keras, a flexible toolkit for training deep learning models,which puts a particular emphasis on the development of advanced applications ofneural machine translation systems, such as interactive-predictive translationprotocols and long-term adaptation of the translation system via continuouslearning. NMT-Keras is based on an extended version of the popular Keraslibrary, and it runs on Theano and Tensorflow. State-of-the-art neural machinetranslation models are deployed and used following the high-level frameworkprovided by Keras. Given its high modularity and flexibility, it also has beenextended to tackle different problems, such as image and video captioning,sentence classification and visual question answering.

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning