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| set | Language model | CER (%) | WER (%) |
|---|---|---|---|
| train | no | 2.33 | 5.62 |
| train | yes | 2.62 | 6.13 |
| val | no | 8.20 | 24.75 |
| val | yes | 7.01 | 19.75 |
| test | no | 7.81 | 23.30 |
| test | yes | 6.75 | 18.22 |
1@inproceedings{pylaia2024,
2 author = {Tarride, Solène and Schneider, Yoann and Generali-Lince, Marie and Boillet, Mélodie and Abadie, Bastien and Kermorvant, Christopher},
3 title = {{Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library}},
4 booktitle = {Document Analysis and Recognition - ICDAR 2024},
5 year = {2024},
6 publisher = {Springer Nature Switzerland},
7 address = {Cham},
8 pages = {387--404},
9 isbn = {978-3-031-70549-6}
10}1@inproceedings{10.1007/978-3-031-06555-2_27,
2author = {Maarand, Martin and Beyer, Yngvil and K\r{a}sen, Andre and Fosseide, Knut T. and Kermorvant, Christopher},
3title = {A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian},
4year = {2022},
5isbn = {978-3-031-06554-5},
6publisher = {Springer-Verlag},
7address = {Berlin, Heidelberg},
8url = {https://doi.org/10.1007/978-3-031-06555-2_27},
9doi = {10.1007/978-3-031-06555-2_27},
10booktitle = {Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings},
11pages = {399–413},
12numpages = {15},
13keywords = {Norwegian language, Open-source, Handwriting recognition},
14location = {La Rochelle, France}
15}