Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary
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Repository
Greek (grc) Handwritten Text Recognition
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Metadata Files
README.md
Handwritten Text Recognition for Greek (grc)
[!TIP] A preview of a recognition model for 9th-12th century minuscule manuscripts (not trained on microfilm images) is published here:
.
This project is work in progress.
The repository contains data used to train Kraken text recognition and segmentation models for medieval Greek minuscule manuscripts within the framework of eScriptorium.
All images were collected using the IIIF-Services provided by the respective library (copyright may be claimed by the respective library, cf. the linked IIIF manifests in MssList.md). The original transcriptions were taken from Vatican Library Greek Paleography (VAT in MssList.md) and from the Patristic Text Archive. All transcriptions were manually corrected and amended by Annette von Stockhausen.
Currently, the repository contains these folders and files:
- README.md: This file
- MssList.md: List of manuscripts which have already been segmented and annotated
- TranscriptionRules.md: Rules applied in transcription
- SegmentationRules.md: Rules for the segmentation
- data
- will contain the images and transcriptions
- eScriptorium_helpers
- Greek manuscripts.json: Virtual keyboard for special characters used in transcription
- ontologyescriptoriumgrc.json: Ontology for segmentation (adapting SegmOnto)
Owner
- Name: Patristic Text Archive
- Login: PatristicTextArchive
- Kind: organization
- Email: annette.von_stockhausen@bbaw.de
- Location: Berlin
- Website: https://pta.bbaw.de
- Twitter: bibelexegese
- Repositories: 7
- Profile: https://github.com/PatristicTextArchive
Open access digital archive of ancient Christian texts
Citation (CITATION.cff)
cff-version: 1.2.0
title: >-
Handwritten Text Recognition for Greek (grc)
message: >-
If you use this dataset, please cite it using the
metadata from this file.
type: dataset
authors:
- given-names: Annette
name-particle: von
family-names: Stockhausen
email: annette.von_stockhausen@bbaw.de
affiliation: >-
Berlin-Brandenburgische Akademie der
Wissenschaften
orcid: 'https://orcid.org/0000-0001-5382-6322'
license: CC-BY
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