Name
Title | ||
|---|---|---|
Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. |
Abstract | ||
|---|---|---|
This paper describes the Tencent AI Lab submission of the WMT2020 shared task on biomedical translation in four language directions: German English, English German, Chinese English and English Chinese. We implement our system with model ensemble technique on different transformer architectures (Deep, Hybrid, Big, Large Transformers). To enlarge the in-domain bilingual corpus, we use back-translation of monolingual in-domain data in the target language as additional in-domain training data. Our systems in German-\u003eEnglish and English-\u003eGerman are ranked 1st and 3rd respectively according to the official evaluation results in terms of BLEU scores. |
Year | Venue | DocType |
|---|---|---|
2020 | WMT@EMNLP | Conference |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing Wang | 1 | 1 | 0.35 |
| Zhaopeng Tu | 2 | 518 | 39.95 |
| Longyue Wang | 3 | 72 | 18.24 |
| Shuming Shi | 4 | 620 | 58.27 |