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%0 Conference Proceedings
%T Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
%A Xhelili, Orgest
%A Liu, Yihong
%A Schuetze, Hinrich
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F xhelili-etal-2024-breaking
%U https://aclanthology.org/2024.findings-emnlp.659
%P 11283-11296

Markdown (Informal)

[Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment](https://aclanthology.org/2024.findings-emnlp.659) (Xhelili et al., Findings 2024)

• Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment (Xhelili et al., Findings 2024)

ACL

• Orgest Xhelili, Yihong Liu, and Hinrich Schuetze. 2024. Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 11283–11296, Miami, Florida, USA. Association for Computational Linguistics.