SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation

Priyaranjan Pattnayak


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/ingest-acl-workshops/2026.mellm-1.24/
DOI:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.mellm-1.24.pdf