In Codice Ratio: Machine Transcription of Medieval Manuscripts

Ammirati, Serena; Firmani, Donatella; Maiorino, Marco; Merialdo, Paolo; Nieddu, Elena

doi:10.1007/978-3-030-11226-4_15

Cited by 5 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, ICR relied on a training set using only one style of medieval handwriting-a derivation of the Caroline style. [12] Were the system to be applied to manuscripts from the same period wrought in a different writing style, it is likely that its successes would have been much fewer in number. Additionally, the training data includes 1,000 'non-character' marks, presumably used to train the CNN to avoid the erroneous classification of letter pairs and flourishes as discrete letters.…”

Section: In Codice Ratiomentioning

confidence: 99%

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Davet¹,

Hamidzadeh²,

Franks³

et al. 2022

archiving

View full text Add to dashboard Cite

While a familiar term in fields like social science research and digital cultural heritage, 'paradata ' has not yet been introduced conceptually into the archival realm. In response to an increasing number of experiments with machine learning and artificial intelligence, the InterPARES Trust AI research group proposes the definition of paradata as 'information about the procedure(s) and tools used to create and process information resources, along with information about the persons carrying out those procedures.' The utilization of this concept in archives can help to ensure that AIdriven systems are designed from the outset to honor the archival ethic, and to aid in the evaluation of off-the-shelf automation solutions. An evaluation of current AI experiments in archives highlights opportunities for paradata-conscious practice.

show abstract

Section: In Codice Ratiomentioning

confidence: 99%

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Davet¹,

Hamidzadeh²,

Franks³

et al. 2022

archiving

View full text Add to dashboard Cite

show abstract

“…Bellotto and Bettella [6] illustrated the experience of extending the metadata model of the Phaidra repository (University of Wien) towards the MODS data model. Firmani and Nieddu [3] reported on the Codice Ratio project, deliver-ing a system taking advantage of character segmentation to support paleographers with tools for the minimal-effort transcription of large medieval manuscripts from the Vatican Secret Archives.…”

Section: Research Communities and Research Datamentioning

confidence: 99%

Digital Libraries

et al. 2020

View full text Add to dashboard Cite

The Italian Research Conference on Digital Libraries (IRCDL) is the annual Italian forum to discuss research topics on Digital Libraries and related technical, practical, and social issues. Along the years, IRCDL touched several aspects underlying the ?Digital Library" domain and promptly adapted to the evolution of the field. Today, the ?Digital Library" field includes theory and practices reflecting the evolution of the role of libraries in the scholarly communication domain, and also embracing scholarly communication and open science. The theme of IRCDL 2019 was ?Digital Libraries: Supporting Open Science". Three main reasons motivated this theme: (i) science is increasingly becoming digital, meaning that research is performed using data services and digital tools; (ii) the results of the research are no longer just traditional scientific publications; (iii) the outcomes of science are increasingly encompassing datasets, software, and experiments. As digital artifacts, such products can be shared and re-used together with the article, thus enabling comprehensive research assessment and various degrees of reproducibility of science. Positive consequences of this shift towards Open Science are: accelerating science, optimizing the cost of research, fraud detection, and fullyfledged scientific reward. Digital Libraries are central in the evolution of research outputs by targeting findability, preservation, interlinking, and re-use of research products and by integrating the components of the scholarly communication process. The conference has been organized in Pisa, and the proceedings are published in the Springer CCIS series Vol. 988 [22]. Pre-print versions, research datasets, and research software relative to the accepted contributions are accessible via Zenodo.org.

show abstract

Digital Libraries: Supporting Open Science

2019

Communications in Computer and Information Science

View full text Add to dashboard Cite

In Codice Ratio: Machine Transcription of Medieval Manuscripts

Cited by 5 publications

References 9 publications

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Digital Libraries

Digital Libraries: Supporting Open Science

Contact Info

Product

Resources

About

In Codice Ratio: Machine Transcription of Medieval Manuscripts

Cited by 5 publications

References 9 publications

Tracking the Functions of AI as Paradata &amp; Pursuing Archival Accountability

Tracking the Functions of AI as Paradata &amp; Pursuing Archival Accountability

Digital Libraries

Digital Libraries: Supporting Open Science

Contact Info

Product

Resources

About

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability

Tracking the Functions of AI as Paradata & Pursuing Archival Accountability