
The authors present a parameter-efficient fine-tuning approach based on the adapters framework to adapt the XLM-RoBERTa language model for various natural language processing tasks on 16 ancient and historical languages.


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adapting-xlm-roberta-for-ancient-and-historical-languages-insights-from-the-tartunlp-submission-to-the-sigtyp-2024-shared-task


Adapting XLM-RoBERTa for Ancient and Historical Languages: Insights from the TartuNLP Submission to the SIGTYP 2024 Shared Task
