DOI: 10.82270/orthocorpus
title: OrthoCorpus
title: OrthoCorpus

description: - Une documentation technique sur la
constitution de ce corpus est disponible sur HAL-SHS:Frédérique Brin-Henry, Evelyne
Jacquey, Jessika Cardinali, Sandrine Ollinger. Rapport technique de la
constitution du corpus OrthoCorpus. [Rapport de recherche] ATILF. 2019. ⟨halshs-02388135⟩

















- L'outil de segmentation en phrases est disponible sur Ortolang  https://www.ortolang.fr/market/tools/casfin/v1. Pour en savoir plus voir Ollinger S., Maurel D. (2024). Segmentation en phrases : ouvrez les guillemets sans perdre le fil. Actes de la conférence JADT 2024.- Une information complémentaire sur
le logiciel TXM est disponible ici : 
https://textometrie.org


description: 

OrthoCorpus is
made out of 1,253 articles published between 1997 and 2022 in Rééducation
Orthophonique, a reference journal founded in 1962 by Suzanne
Borel-Maisonny. These articles were written by speech and language therapists,
by other health or education professionals (psychologists, doctors, linguists,
physiotherapists, etc.) or by other stakeholders (association representatives,
parents, etc.). They concern all aspects of speech and language therapy practice
and include theoretical discussions on the pathologies treated by speech and
language therapists, information on treatments and rehabilitation, assessments,
as well as study reports and some testimonials.This resource
(over 6 million words) was compiled as part of the eponymous OrthoCorpus
project (2015-2017), and was expanded, corrected and enriched in 2019 (V1.1),
2020 (V2) and 2022 (V3). The OrthoCorpus project enabled the construction of a
specialised corpus, as well as the analyses of written texts in the area of speech
and language therapy, from a terminological perspective. It was carried out
with financial support from the Lorraine Region, the ATILF laboratory, the
Bar-le-Duc Hospital Centre and the Fédération Nationale des Orthophonistes.This corpus has
been enriched with metadata that includes: the author's status (speech and
language therapist or not), whether the author writes alone or in a team, the
country of the principal author, the issue number, its theme and the year of
publication, the section assigned to the article, the category and sub-theme
(pathology) of the article, and whether it is about children or not. Abstracts
and keywords in English and French have been retained, as well as the structure
of the documents (titles and subtitles, introduction, conclusion, etc.).
Figures, tables and appendices, as well as bibliographical references, have
been excluded.In OrthoCorpus
V4, footnotes have been grouped at the end of each file (representing an
article) to facilitate their exploitation. Furthermore, problems with paragraph
segmentation have been studied and resolved, enabling more relevant data
processing.OrthoCorpus is
available in two formats: one in XML-TEI, the second allows direct querying in
TXM. A complementary version to V4 (called CASFIN V4), segmented into
sentences, is also made available. The use of inadequate word processing
procedures (use of a paragraph return instead of a line break within a
paragraph) by the journal's authors had led to sentence segmentation errors.









OrthoCorpus is made
available for to members of higher education and research institutions, and to
speech and language therapists who are practitioner-researchers (please use the contact address, for research projects).- Technical information on the making of OrthoCorpus is available on Hal-SHS: 
Frédérique Brin-Henry, Evelyne Jacquey, Jessika
Perignon, Sandrine Ollinger. Rapport technique de la constitution du corpus
OrthoCorpus. [Rapport de
recherche] ATILF. 2019. ⟨halshs-02388135⟩- The tool used for segmenting texts into sentences is available on Ortolang https://www.ortolang.fr/market/tools/casfin/v1.  More info in Ollinger S., Maurel D. (2024). Segmentation en phrases : ouvrez les guillemets sans perdre le fil. Actes de la conférence JADT 2024.- Additional information on the TXM software may be found here:  https://textometrie.org