# Neutron: An Implementation of the Transformer Translation Model and its Variants

arXiv: https://arxiv.org/abs/1903.07402 · HTML: https://mlsanity.com/paper/1903.07402/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Mar 2019.

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

- [Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation](https://mlsanity.com/paper/2212.12662/) (2022)

## Abstract (arXiv)

The Transformer translation model is easier to parallelize and provides better performance compared to recurrent seq2seq models, which makes it popular among industry and research community. We implement the Neutron in this work, including the Transformer model and its several variants from most recent researches. It is highly optimized, easy to modify and provides comparable performance with interesting features while keeping readability.