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

arXiv: https://arxiv.org/abs/1807.03096 · HTML: https://mlsanity.com/paper/1807.03096/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Jul 2018.

## Built on by (most cited first, 1 of 1)

- [Two Demonstrations of the Machine Translation Applications to Historical Documents](https://mlsanity.com/paper/2102.01417/) (2021)

## Abstract (arXiv)

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.