ARletta : open-source handwritten text recognition models for historic Dutch
Abstract: We release ARletta, a series of open-source models for the automated transcription of historic Dutch-language handwritten sources, which has remained a desideratum in the scholarly community until now. All models presented were trained on publicly available data using the open-source kraken engine. Our endeavor focuses on the digitization of a large-scale collection of local police reports (1876–1945). Additionally, we include a supermodel trained on the union of other Dutch-language datasets (extending back to the 17th century) which we hope will be useful as a foundational model fo... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2024 |
Schlagwörter: | Sociology / Computer. Automation / Art / Linguistics / Literature / History |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29031449 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/10067/2068530151162165141 |
Abstract: We release ARletta, a series of open-source models for the automated transcription of historic Dutch-language handwritten sources, which has remained a desideratum in the scholarly community until now. All models presented were trained on publicly available data using the open-source kraken engine. Our endeavor focuses on the digitization of a large-scale collection of local police reports (1876–1945). Additionally, we include a supermodel trained on the union of other Dutch-language datasets (extending back to the 17th century) which we hope will be useful as a foundational model for future projects. Our results demonstrate performance that is competitive with proprietary software solutions.