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https://github.com/Jean-Baptiste-Camps/FROC-MSS
FROC-MSS: Old French and Old Occitan Medieval Manuscripts HTR Data and Models
https://github.com/Jean-Baptiste-Camps/FROC-MSS
Last synced: 2 months ago
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FROC-MSS: Old French and Old Occitan Medieval Manuscripts HTR Data and Models
- Host: GitHub
- URL: https://github.com/Jean-Baptiste-Camps/FROC-MSS
- Owner: Jean-Baptiste-Camps
- Created: 2018-12-20T11:40:05.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-01-08T14:52:11.000Z (over 5 years ago)
- Last Synced: 2024-01-27T14:37:54.240Z (5 months ago)
- Language: Python
- Size: 26.8 MB
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Lists
- awesome-ocr - FROC-MSS - 4 Old French Medieval Manuscripts `CC-BY 4.0` (Datasets / Ground Truth)
- awesome-ocr - FROC-MSS - 4 Old French Medieval Manuscripts `CC-BY 4.0` (8. <a name='Datasets'></a>Datasets / 8.1. <a name='GroundTruth'></a>Ground Truth)
README
# FROC-MSS: Old French and Old Occitan Medieval Manuscripts HTR Data and Models
This repository contains:
- training and evaluation data from allographetic transcriptions of various
Old French and Old Occitan manuscripts, in various states of correctness, in Kraken
training format;
- HTR models trained and tested using this data.
If you plan of using this data or the provided model for a publication, please
cite it, as:
Jean-Baptiste Camps (éd.), _FROC-MSS: Old French and Old Occitan Medieval Manuscripts HTR Data and Models_, Paris: École nationale des chartes (PSL), 2018, [https://github.com/Jean-Baptiste-Camps/FROC-MSS](https://github.com/Jean-Baptiste-Camps/FROC-MSS).
## Data format
The data is as following:
- each line image in a `.png` file;
- each transcription in a `.gt.txt` file.
Unicode NFD normalisation has been applied on the ground-truth text.
## Models
### Summary and C.E.R.
The root folder contains a vanilla Kraken model (`model_froc.mlmodel`),
trained with default settings and without any additional data (e.g. no artificial noised data).
Data was randomly divided in 80\% for training (`train.txt`), 10\% for in-training
validation (`val.txt`) and 10\% for final testing of the model (`test.txt`).
It achieved a C.E.R. of:
- ** 8.11 % ** on validation data (7.03% ignoring spaces);
- ** 7.83 % ** on test data (6.92% ignoring spaces).
### Errors and most frequent confusions on test data
There were 13540 characters and 1061 errors on test data.
Globally, the error are as follow:
- 536 characters from the ground truth were not predicted by the model;
- 132 characters absent from the ground truth were wrongly predicted;
- 393 character substitutions.
The most frequent confusions concerned spacing.
The 20 most frequent confusions are:
Errors Ground Truth-Prediction
70 { SPACE } - { }
54 { } - { SPACE }
48 { ı } - { }
43 { n } - { }
43 { COMBINING ACUTE ACCENT } - { }
27 { e } - { }
24 { l } - { }
24 { u } - { }
21 { . } - { }
20 { u } - { n }
18 { ſ } - { }
18 { a } - { }
17 { r } - { }
14 { t } - { }
13 { COMBINING TILDE } - { }
13 { } - { ı }
12 { o } - { e }
12 { o } - { }
12 { ı } - { m }
11 { e } - { c }
## List of manuscripts
The data comes from partial allographetic transcription of the following mss:
- Clermont-Ferrand, archives départementales, 1F2 (XIII 1/3, anglo-norman _praegothica_ script; _Chanson d'Aspremont_); 52 lines.
- Paris, Bibliothèque nationale de France, fr. 854 (XIII 4/4, Venice or Venetian area; gothic _textualis_; occitan chansonnier _I_); 1112 lines.
- Cologny-Genève, fondation Martin-Bodmer, cod. Bodm. 168 (XIII 3/3, anglo-norman gothic _textualis_; _Chanson d'Otinel_); 1908 lines.
- Oxford, Bodleian Library, Digby 23 (XII 1/2, anglo-norman _praegothica_; _Chanson de Roland_); 564 lines.
For these transcriptions, see: Jean-Baptiste Camps, _La `Chanson d’Otinel’: édition complète du corpus manuscrit et prolégomènes à l’édition critique_, PhD thesis, dir. Dominique Boutet, Paris-Sorbonne, 2016, DOI: [https://doi.org/10.5281/zenodo.1116735](10.5281/zenodo.1116735).
## License
Cette œuvre est mise à disposition selon les termes de la Licence Creative Commons Attribution 4.0 International.
## Contribute
If you want to contribute training data or models, you can do so by cloning the
repository and sending us a pull request, or by sending an email
at _jbcamps at hotmail.com_ .
## Cite this repository
Jean-Baptiste Camps (éd.), _FROC-MSS: Old French and Old Occitan Medieval Manuscripts HTR Data and Models_, Paris: École nationale des chartes (PSL), 2018, [https://github.com/Jean-Baptiste-Camps/FROC-MSS](https://github.com/Jean-Baptiste-Camps/FROC-MSS).