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

## TL;DR

nmtpy is a versatile Python toolkit designed for neural machine translation and sequence-to-sequence models, simplifying architecture development and enabling top-ranked results in major translation tasks.

## Contribution

It introduces a flexible, decoupled framework for neural translation models, reducing boilerplate and facilitating rapid development and experimentation.

## Key findings

- Used in top-ranked WMT submissions in 2016 and 2017.
- Simplifies architecture addition and experimentation.
- Proven effectiveness in competitive translation tasks.

## Abstract

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.