Name
Abstract | ||
|---|---|---|
With the development of deep neural networks, machine translation has achieved significant progress and integrated with people’s daily lives to assist in various tasks. However, machine translators, which are essentially one kind of software, also suffer from software defects. Translation errors might cause misunderstanding or even lead to marketing blunders, and political crisis. Thus, almost all... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ASE51524.2021.9678715 | 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) |
Keywords | DocType | ISBN |
Fault detection,Neural networks,Training data,Syntactics,Software,Internet,Machine translation | Conference | 978-1-6654-0337-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pin Ji | 1 | 0 | 0.34 |
| Yang Feng | 2 | 4 | 2.10 |
| Jia Liu | 3 | 7 | 2.55 |
| Zhihong Zhao | 4 | 153 | 9.07 |
| Xu, Baowen | 5 | 2476 | 165.27 |