Pedersen, Bjørn-Richard; Holsbø, Einar; Andersen, Trygve; Shvetsov, Nikita; Ravn, Johan; Sommerseth, Hilde Leikny; Bongo, Lars Ailo (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-06)
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeline that scales to the dataset size and a model that achieves high accuracy with few manual transcriptions. The correctness of the model results must ...