Papers by Lennart Keller

1 papers
One Script Instead of Hundreds? On Pretraining Romanized Encoder Language Models (2026.findings-acl)

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Challenge: a recent study has focused on setups that favor romanization for cross-lingual transfer . a fidelity-based approach is needed to improve performance for high-resource languages .
Approach: They propose to pretrain LMs from scratch on romanized and original texts for six languages . they find that romanization improves encoding efficiency for segmental scripts at a negligible cost .
Outcome: The proposed method reduces the loss of script-specific information and dilution of language-specific representations from increased subword overlap.

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