CREMMA Medieval - abbr and expan altos

This data set is derived from the CREMMA-Medieval dataset (https://github.com/HTR-United/cremma-medieval). It was modified to include both abbreviated and expanded forms in separated ALTO, for HTR training experiments. The original data set was created with the support of the <em>DIM MAP</em> in the context of the CREMMA project (https://www.dim-map.fr/projets-soutenus/cremma/).<br> This version was prepared in March-June 2022 as part of the research for the following paper: <strong>Camps</strong>, Jean-Baptiste, Chahan<strong> Vidal-Gorène</strong>, Dominique <strong>Stutzmann</strong>, Marguerite <strong>Vernet</strong>, and Ariane <strong>Pinche</strong>. « Data Diversity in Handwritten Text Recognition: Challenge or Opportunity? » In <em>Digital Humanities 2022. Conference Abstracts (The University of Tokyo, Japan, 25-29 July 2022)</em>, published by DH2022 Local Organizing Committee, 160‑65. Tokyo, 2022. https://dh2022.dhii.asia/dh2022bookofabsts.pdf#page=162 and https://dh2022.dhii.asia/abstracts/files/CAMPS_Jean_Baptiste_Data_Diversity_in_handwritten_text_recog.html. If you use this dataset, please quote: <pre>@incollection{dh2022_local_organizing_committee_data_2022, address = {Tokyo}, title = {Data {Diversity} in handwritten text recognition: challenge or opportunity?}, url = {https://dh2022.dhii.asia/dh2022bookofabsts.pdf}, language = {en}, urldate = {2022-08-02}, booktitle = {Digital {Humanities} 2022. {Conference} {Abstracts} ({The} {University} of {Tokyo}, {Japan}, 25-29 {July} 2022)}, author = {Camps, Jean-Baptiste and Vidal-Gorène, Chahan and Stutzmann, Dominique and Vernet, Marguerite and Pinche, Ariane}, editor = {{DH2022 Local Organizing Committee}}, year = {2022}, pages = {160--165}, } </pre> <br> <strong>Folders</strong><br> <strong>img</strong><br> Folder with the scans of the base documents. <strong>alto</strong><br> ALTO files, in abbreviated and expanded text form, with or without normalisations. For more details, please see the aforementioned paper.