Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Text
Medieval document transcribers have very different practices; on top of that, heterogeneous digitization policies have resulted in corpora where the character-set must be viewed as fluid. In this paper we address the problem of changing between character-sets in a flexible manner. We focus on one-to-one character mappings and train characterlevel one-to-one RNNs to undo them with self-supervision; recovering half the CER even with 20 text lines. We analyse the use of these one-to-one networks for HTR post-correction and we see that they obtain significant improvements while totally ignoring in
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- PossiblePossibly related (embedding) · 50%Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P] →
- LinkedLinked via arxiv author · 85%Anguelos Nicolaou →
“Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval”
- LinkedLinked via arxiv author · 85%Maria Pia Tiseo →
“Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval”
- LinkedLinked via arxiv author · 85%Tamas Kovacs →
“Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval”
- LinkedLinked via arxiv author · 85%Nicolas Renet →
“Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval”
- LinkedLinked via arxiv author · 85%Georg Vogeler →
“Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval”