# DiDi's Machine Translation System for WMT2020

arXiv: https://arxiv.org/abs/2010.08185 · HTML: https://mlsanity.com/paper/2010.08185/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Oct 2020.

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

- [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://mlsanity.com/paper/2112.04139/) (2021)
- [MeetDot: Videoconferencing with Live Translation Captions](https://mlsanity.com/paper/2109.09577/) (2021)

## Abstract (arXiv)

This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model, and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese->English.