Abstract
We present NMT-Keras, a flexible toolkit for training deep learning models, which puts a particular emphasis on the development of advanced applications of neural machine translation systems, such as interactive-predictive translation protocols and long-term adaptation of the translation system via continuous learning. NMT-Keras is based on an extended version of the popular Keras library, and it runs on Theano and Tensorflow. State-of-the-art neural machine translation models are deployed and used following the high-level framework provided by Keras. Given its high modularity and flexibility, it also has been extended to tackle different problems, such as image and video captioning, sentence classification and visual question answering.
Abstract (translated)
我们提出了NMT-Keras，一个用于训练深度学习模型的灵活工具包，它特别强调神经机器翻译系统的高级应用的开发，例如交互式预测翻译协议和通过连续的翻译系统的长期适应。学习。 NMT-Keras基于流行的Keras库的扩展版本，它在Theano和Tensorflow上运行。按照Keras提供的高级框架部署和使用最先进的神经机器翻译模型。鉴于其高度的模块性和灵活性，它还扩展到解决不同的问题，如图像和视频字幕，句子分类和视觉问题回答。
URL
https://arxiv.org/abs/1807.03096
