- Anthology ID:
- 2021.findings-acl.385
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4392–4400
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.385
- DOI:
- 10.18653/v1/2021.findings-acl.385
- Cite (ACL):
- Weijia Xu, Shuming Ma, Dongdong Zhang, and Marine Carpuat. 2021. How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4392–4400, Online. Association for Computational Linguistics.
- Cite (Informal):
- How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation? (Xu et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.findings-acl.385.pdf
- Data
- WMT 2014