- Anthology ID:
- 2026.mellm-1.24
- Volume:
- Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)
- Month:
- July
- Year:
- 2026
- Address:
- San Diego, United States
- Editors:
- Kaiyu Huang, Fengran Mo, Pinzhen Chen, Meng Jiang
- Venues:
- MeLLM | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 249–256
- Language:
- URL:
- https://preview.aclanthology.org/acl-awards/2026.mellm-1.24/
- DOI:
- 10.18653/v1/2026.mellm-1.24
- Cite (ACL):
- Priyaranjan Pattnayak. 2026. SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation. In Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026), pages 249–256, San Diego, United States. Association for Computational Linguistics.
- Cite (Informal):
- SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation (Pattnayak, MeLLM 2026)
- PDF:
- https://preview.aclanthology.org/acl-awards/2026.mellm-1.24.pdf