Creator(s)
Newseye-project
Language(s)
Swedish
Centuries
CER on Validation Set
3.8%
Size (Nr. of Words)
373,108
Model ID
35917
This model works well with Swedish print from late 18th century to midth of 20th century. For standard text in newspapers from that time error rates much below 1% were measured.
The model was created in the NewsEye project and is based on training data coming from the National Library Finland (NLF). 373100 words have been trained and the CER on the validation set is 3,8%.
You can use this model to automatically transcribe Handwritten documents with Handwritten Text Recgnition in Transkribus.