# The Helsinki Neural Machine Translation System

arXiv: https://arxiv.org/abs/1708.05942 · HTML: https://mlsanity.com/paper/1708.05942/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Aug 2017.

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

- [Why don't people use character-level machine translation?](https://mlsanity.com/paper/2110.08191/) (2021)
- [Automatic Text Simplification of News Articles in the Context of Public Broadcasting](https://mlsanity.com/paper/2212.13317/) (2022)

## Abstract (arXiv)

We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English--Finnish. We discuss the success of English--Finnish translations and the overall advantage of NMT over a strong SMT baseline. We also discuss our submissions for English--Latvian, English--Chinese and Chinese--English.