Fine-tuned mT5 and mBART perform competitively on Spanish and Slovene historical spelling normalization, but character-based SMT achieves the best overall scores, confirming its continued state-of-the-art status.
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Two Spelling Normalization Approaches Based on Large Language Models
Fine-tuned mT5 and mBART perform competitively on Spanish and Slovene historical spelling normalization, but character-based SMT achieves the best overall scores, confirming its continued state-of-the-art status.