# The Volctrans Machine Translation System for WMT20

arXiv: https://arxiv.org/abs/2010.14806 · HTML: https://mlsanity.com/paper/2010.14806/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Oct 2020.

## Built on by (most cited first, 7 of 7)

- [Survey of Low-Resource Machine Translation](https://mlsanity.com/paper/2109.00486/) (2021)
- [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://mlsanity.com/paper/2112.04139/) (2021)
- [GigaST: A 10,000-hour Pseudo Speech Translation Corpus](https://mlsanity.com/paper/2204.03939/) (2022)
- [The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21](https://mlsanity.com/paper/2109.11247/) (2021)
- [Onception: Active Learning with Expert Advice for Real World Machine Translation](https://mlsanity.com/paper/2203.04507/) (2022)
- [The NiuTrans Machine Translation Systems for WMT21](https://mlsanity.com/paper/2109.10485/) (2021)
- [The Volctrans Neural Speech Translation System for IWSLT 2021](https://mlsanity.com/paper/2105.07319/) (2021)

## Abstract (arXiv)

This paper describes our VolcTrans system on WMT20 shared news translation task. We participated in 8 translation directions. Our basic systems are based on Transformer, with several variants (wider or deeper Transformers, dynamic convolutions). The final system includes text pre-process, data selection, synthetic data generation, advanced model ensemble, and multilingual pre-training.