The comprehension of medical words: ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
The comprehension of medical words: Cross-lingual experiments in French and Xhosa
Auteur(s) :
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
van Zyl, Izak [Auteur]
Cape Peninsula University of Technology [CPUT]
de La Harpe, Retha [Auteur]
Cape Peninsula University of Technology [CPUT]
Hamon, Thierry [Auteur]
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]
Université Paris 13 [UP13]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
van Zyl, Izak [Auteur]
Cape Peninsula University of Technology [CPUT]
de La Harpe, Retha [Auteur]
Cape Peninsula University of Technology [CPUT]
Hamon, Thierry [Auteur]
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]
Université Paris 13 [UP13]
Titre de la manifestation scientifique :
International Conference on Health Informatics
Organisateur(s) de la manifestation scientifique :
SCITEPRESS Digital Library
Ville :
Angers
Pays :
France
Date de début de la manifestation scientifique :
2014-01-01
Mot(s)-clé(s) en anglais :
Health Literacy
Readability
Consumer Health Informatics
Natural Language Processing
Xhosa
French
Readability
Consumer Health Informatics
Natural Language Processing
Xhosa
French
Discipline(s) HAL :
Informatique [cs]
Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Informatique et langage [cs.CL]
Résumé en anglais : [en]
This paper presents cross-lingual experiments in automatic detection of medical words that may be difficult to understand by patients. The study relies on Natural Language Processing (NLP) methods, conducted in three steps, ...
Lire la suite >This paper presents cross-lingual experiments in automatic detection of medical words that may be difficult to understand by patients. The study relies on Natural Language Processing (NLP) methods, conducted in three steps, across two languages, French and Xhosa: (1) the French data are processed by NLP methods and tools to reproduce the manual categorization of words as understandable or not; (2) the Xhosa data are clustered with a non-supervised algorithm; (3) an analysis of the Xhosa results and their comparison with the results observed on the French data is performed. Some similarities between the two languages are observed.Lire moins >
Lire la suite >This paper presents cross-lingual experiments in automatic detection of medical words that may be difficult to understand by patients. The study relies on Natural Language Processing (NLP) methods, conducted in three steps, across two languages, French and Xhosa: (1) the French data are processed by NLP methods and tools to reproduce the manual categorization of words as understandable or not; (2) the Xhosa data are clustered with a non-supervised algorithm; (3) an analysis of the Xhosa results and their comparison with the results observed on the French data is performed. Some similarities between the two languages are observed.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :