Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages
- Anthology ID:
- 2023.ijcnlp-tutorials.6
- Volume:
- Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Tutorial Abstract
- Month:
- November
- Year:
- 2023
- Address:
- Nusa Dua, Bali
- Editors:
- Yun-Nung (Vivian) Chen, Sadao Kurohashi
- Venues:
- IJCNLP | AACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 35–42
- Language:
- URL:
- https://preview.aclanthology.org/remove-affiliations/2023.ijcnlp-tutorials.6/
- DOI:
- 10.18653/v1/2023.ijcnlp-tutorials.6
- Cite (ACL):
- Jay Gala, Pranjal A. Chitale, and Raj Dabre. 2023. Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Tutorial Abstract, pages 35–42, Nusa Dua, Bali. Association for Computational Linguistics.
- Cite (Informal):
- Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages (Gala et al., IJCNLP-AACL 2023)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/2023.ijcnlp-tutorials.6.pdf