Digitalt seminarium: Machine Learning and Local Knowledge

17 november, kl 13 - 15, kan du ta del av Karl-Magnus Johanssons presentation Machine Learning and Local Knowledge - A Presentation of an Ongoing Handwritten Text Recognition and Citizen Science Project at the National Archives in Gothenburg.

In early 2020 a Handwritten Text Recognition (HTR) and Citizen Science project was initiated at the Swedish National Archives in collaboration with GPS400 - Centre for Collaborative Visual Research at the University of Gothenburg. The project’s archival material consists of police reports from Gothenburg 1868-1902 in more than 22 000 pages of handwritten text. To produce high quality training data for the HTR-model, as well as to raise the quality of the automatically transcribed data, people from civic society were invited to participate in the project. In this presentation, archivist Karl-Magnus Johansson talks about his experiences of the ongoing project, in connection to recent studies of the relationship between data and local knowledge.