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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
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Fanny loves Wilhelm. HTR Model trained on letters and notes by Fanny Mendelssohn (Fanny Hensel)

Authors: Roman Kuhn;

Fanny loves Wilhelm. HTR Model trained on letters and notes by Fanny Mendelssohn (Fanny Hensel)

Abstract

Overview This handwriting recognition model has been fine-tuned using the HTR model for German manuscripts trained from several datasets as base model in eScriptoirum. The ground-truth dataset for the transcriptions is available here. The model fine-tunes a generic model for german handwriting for the recognition of a single hand (that of Fanny Mendelssohn) and a particularly difficult medium (letters and notes written without much attention to form and sometimes slightly damaged). It achieves significantly better results on test-pages than the base model. Future Work Currently, this model works well on test data from the dataset of letters and notes by Fanny Mendelssohn to Wilhelm Hensel. In order to train a model that works well on Fanny Mendelssohn's hand more generally, more and diverse samples of her handwriting should be added to the training set.

Keywords

automatic-text-recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average