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Adam Darmanin

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#computer vision Preprint Jun 2026

LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration

Maltese has substantial text corpora and pretrained language models, but paragraph-scale OCR training data remains scarce; NOMOCRAT provides 57 verified annotated pages. LV-ROVER-MLT combines synthetic fine-tuning of Tesseract~5 with five complementary recognition streams and lexicon-gated word-level arbitration adapte...

Adam Darmanin · 1 citation

LV-ROVER-MLT: Low-Resource Maltese OCR by Multi-Stream Voting

A synthetic training pipeline and a 5-stream Tesseract ensemble voted under a lexicon-anchored, ROVER-style scheme adapted for a low-resource setting, and results on a 422-paragraph benchmark against a fine-tuned-Tesseract baseline of character error rate (CER) are reported.

Adam Darmanin · 0 citations

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