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RCnum: A Semantic and Multilingual Online Edition of the Geneva Council Registers from 1545 to 1550

ContributorsBouillon, Pierretteorcid; Chazalon, Christophe Gerard Pierre; Coram-Mekkey, Sandra; Falquet, Gillesorcid; Gerlach, Johannaorcid; Marchand-Maillet, Stéphaneorcid; Moccozet, Laurentorcid; Mutal, Jonathan Davidorcid; Rubino, Raphaël; Sorbi, Marco
Presented atSheffield, United Kingdom, June 24-27, 2024
Published inXingyi Song, Edward Gow-Smith, Carolina Scarton, Vera Cabarrão, Konstantinos Chatzitheodorou, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Rachel Bawden, Víctor M. Sánchez-Cartagena, Barry Haddow, Diptesh Kanojia, Mary Nurminen, Helena Moniz, Mikel Forcada, Chris Oakley (Ed.), Proceedings of the 25th Annual Conference of the European Association for Machine Translation - Volume 2: Products & Projects, p. 21-22
PublisherEuropean Association for Machine Translation (EAMT)
First online date2024
Abstract

The RCnum project is funded by the Swiss National Science Foundation and aims at producing a multilingual and semantically rich online edition of the Registers of Geneva Council from 1545 to 1550. Combining multilingual NLP, history and paleography, this collaborative project will clear hurdles inherent to texts manually written in 16th century Middle French while allowing for easy access and interactive consultation of these archives.

Keywords
  • Middle French
  • Normalisation
  • Modernisation
  • Large Language Models (LLMs)
  • Data Visualisation
Affiliation entities
Research groups
Funding
Citation (ISO format)
BOUILLON, Pierrette et al. RCnum: A Semantic and Multilingual Online Edition of the Geneva Council Registers from 1545 to 1550. In: Proceedings of the 25th Annual Conference of the European Association for Machine Translation - Volume 2: Products & Projects. Xingyi Song, Edward Gow-Smith, Carolina Scarton, Vera Cabarrão, Konstantinos Chatzitheodorou, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Rachel Bawden, Víctor M. Sánchez-Cartagena, Barry Haddow, Diptesh Kanojia, Mary Nurminen, Helena Moniz, Mikel Forcada, Chris Oakley (Ed.). Sheffield, United Kingdom. [s.l.] : European Association for Machine Translation (EAMT), 2024. p. 21–22.
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Identifiers
  • PID : unige:179571
ISBN978-1-0686907-1-6
193views
108downloads

Technical informations

Creation02/09/2024 11:27:25
First validation03/09/2024 06:27:12
Update time13/10/2025 12:47:15
Status update03/09/2024 06:27:12
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