Software:In Codice Ratio
In Codice Ratio is a research project designed to study and use novel techniques such as Optical Character Recognition and Artificial Intelligence to digitize works in the Vatican Apostolic Archive,[1][2] most of which is handwritten.[3][4]
History
In 2017, a project based in Roma Tre University called In Codice Ratio began using artificial intelligence and optical character recognition to attempt to transcribe more documents from the archives.[3][5] While character-recognition software is adept at reading typed text, the cramped and many-serifed style of medieval handwriting makes distinguishing individual characters difficult for the software.[6] Many individual letters of the alphabet are often confused by human readers of medieval handwriting, let alone a computer program. The team behind In Codice Ratio tried to solve this problem by developing a machine-learning software that could parse this handwriting. Their program eventually achieved 96% accuracy in parsing this type of text.[7]
References
- ↑ Firmani, Donatella; Maiorino, Marco; Merialdo, Paolo; Nieddu, Elena (2018-03-01). "Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1". Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 263–272. doi:10.1145/3219819.3219879. ISBN 9781450355520.
- ↑ "Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio" (in en). https://www.kdd.org/kdd2018/accepted-papers/view/towards-knowledge-discovery-from-the-vatican-secret-archives.-in-codic2.
- ↑ 3.0 3.1 Kean, Sam (2018-04-30). "Artificial Intelligence Is Cracking Open the Vatican's Secret Archives" (in en). https://www.theatlantic.com/technology/archive/2018/04/vatican-secret-archives-artificial-intelligence/559205/.
- ↑ Firmani, Donatella; Merialdo, Paolo; Nieddu, Elena; Scardapane, Simone (December 2017). "In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks". https://www.researchgate.net/publication/322096820.
- ↑ Firmani, D.; Merialdo, P.; Nieddu, E.; Scardapane, S. (2017). "In codice ratio: OCR of handwritten Latin documents using deep convolutional networks". International Workshop on Artificial Intelligence for Cultural Heritage. pp. 9–16. http://ceur-ws.org/Vol-2034/paper_2.pdf.
- ↑ "AI tackles the Vatican's secrets" (in en). MIT Technology Review. 15 March 2018. https://www.technologyreview.com/s/610530/ai-tackles-the-vaticans-secrets/.
- ↑ Firmani, Donatella; Merialdo, Paolo; Maiorino, Marco (25 September 2017). "In Codice Ratio: Scalable Transcription of Vatican Registers" (in en-gb). https://ercim-news.ercim.eu/en111/special/in-codice-ratio-scalable-transcription-of-vatican-registers.
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