Abstract
This paper presents the findings of the WMT 2024’s MultiIndic22MT Shared Task, focusing on Machine Translation (MT) of 22 Indian Languages. In this task, we challenged participants with building MT systems which could translate between any or all of 22 Indian languages in the 8th schedule of the Indian constitution and English. For evaluation, we focused on automatic metrics, namely, chrF, chrF++ and BLEU.- Anthology ID:
- 2024.wmt-1.55
- Volume:
- Proceedings of the Ninth Conference on Machine Translation
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
- Venue:
- WMT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 669–676
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2024.wmt-1.55/
- DOI:
- 10.18653/v1/2024.wmt-1.55
- Cite (ACL):
- Raj Dabre and Anoop Kunchukuttan. 2024. Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages. In Proceedings of the Ninth Conference on Machine Translation, pages 669–676, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages (Dabre & Kunchukuttan, WMT 2024)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2024.wmt-1.55.pdf