Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Model trained on 11th century manuscripts to produce graphematic transcription (Latin).

Authors: Michael Schonhardt;

Model trained on 11th century manuscripts to produce graphematic transcription (Latin).

Abstract

This model has been trained as part of the ongoing edition project Burchards Dekret Digital (www.burchards-dekret-digital.de), funded by the Academy of Sciences and Literature Mainz. It is the project's first high-quality model specifically designed to produce a graphematic transcription based on a predefined set of special characters (https://github.com/michaelscho/transpy?tab=readme-ov-file#special-characters) in accordance with the MUFI standard. The model was trained on five 11th-century manuscripts that can be traced to the episcopal scriptorium in Worms: Bamberg, SB, Msc.Can.6 (https://mdz-nbn-resolving.de/urn:nbn:de:bvb:12-bsb00140701-0), Frankfurt, UB, Ms. Barth. 50 (https://sammlungen.ub.uni-frankfurt.de/msma/urn/urn:nbn:de:hebis:30:2-12488), Köln, EDD, Cod. 119 (https://digital.dombibliothek-koeln.de/urn/urn:nbn:de:hbz:kn28-3-3241), Vatican, BAV, Pal.lat.585 (https://digi.vatlib.it/mss/detail/Pal.lat.585), and Vatican, BAV, Pal.lat.586 (https://digi.vatlib.it/mss/detail/Pal.lat.586). However, it also works well as a base model for later medieval scripts. The model was trained by Dr. Michael Schonhardt (Universität Kassel, https://orcid.org/0000-0002-2750-1900). Transcriptions were provided and proofread by Helena Geitz, Daniel Gneckow, Dr. Andreas Grote, Prof. Dr. Lotte Kéry, Dr. Birgit Kynast, Dr. Hans-Christian Lehner, Dr. Melanie Panse-Buchwalter, Michaela Parma, Dr. Cornelia Scherer, Dr. Michael Schonhardt and Dr. des. Elena Vanelli. The project is led by Prof. Dr. Ingrid Baumgärtner, Prof. Dr. Klaus Herbers and Prof. Dr. Ludger Körntgen. The model was trained in 54 epochs using a learning rate of 0.0008 and a batch size of 64.

Related Organizations
Keywords

kraken_pytorch

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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
Related to Research communities