# NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

arXiv: https://arxiv.org/abs/1706.00457 · HTML: https://mlsanity.com/paper/1706.00457/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jun 2017.

## Built on by (most cited first, 2 of 2)

- [On the Difficulty of Segmenting Words with Attention](https://mlsanity.com/paper/2109.10107/) (2021)
- [TCR: Short Video Title Generation and Cover Selection with Attention Refinement](https://mlsanity.com/paper/2304.12561/) (2023)

## 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.