Detecció de la relació malaltia-símptoma entre termes de l'àmbit mèdic: una aproximació basada en corpus Authors Albert Alegrí Universitat Pompeu Fabra Iria da Cunha Universidad Nacional de Educación a Distancia Keywords: language patterns, relation detection, disease, symptom, linguistic marks, specialised collocations Abstract Detection of the disease-symptom relation between terms in the medical sphere: a corpus-based approximation Experts in terminology state that specialised texts are, with respect to their content, structures formed by terms, and these terms are conceptually connected (Cabré, 1999). The main goal of this article is to prove the existence of linguistic patterns that show the disease–symptom relation. These patterns can be useful to detect the relation semiautomatically or automatically by means of a specific methodology. This methodology is based on the fact that, once we extract and analyse certain contexts, we can obtain linguistic marks that show this relation, allowing a generalisation of patterns. Our results show that most symptoms are not included in the definitions given in medical terminological resources, but they are indeed included in the medical corpus that has been analysed in this project. Moreover, most symptoms are described with specialised collocations. Downloads Download data is not yet available. Author Biographies Albert Alegrí, Universitat Pompeu Fabra Màster i graduat en Lingüística Aplicada per la Universitat Pompeu Fabra, especialitzat en Terminologia i Ensenyament de Llengües. Ha participat en la confecció i l'etiquetatge sintàctic del Corpus Treebank Català de l'Institut Universitari de Lingüística Aplicada i actualment és col·laborador de la Càtedra Pompeu Fabra. Treballa en els àmbits de la formació i la comunicació, fent així un parèntesi en la seva recerca doctoral com a membre del grup IULATERM. Iria da Cunha, Universidad Nacional de Educación a Distancia Doctora en Ciències del Llenguatge i Lingüística Aplicada per la Universitat Pompeu Fabra (UPF). Actualment és investigadora Ramón y Cajal en el Departament de Filologies Estrangeres i les seves Lingüístiques de la Universitat Nacional d'Educació a Distància (UNED), on té la seva recerca adscrita al grup ACTUALing. També és investigadora externa del grup IULATERM de l'Institut Universitari de Lingüística Aplicada de la UPF. És especialista en discurs especialitzat, terminologia i lingüística computacional. Downloads PDF (Català) Published 2015-12-22 How to Cite Alegrí, A., & da Cunha, I. (2015). Detecció de la relació malaltia-símptoma entre termes de l’àmbit mèdic: una aproximació basada en corpus. Terminàlia, 2(12), 7–17. Retrieved from https://revistes.iec.cat/index.php/Terminalia/article/view/137052 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue No. 12: December 2015 Section Articles License Authors registered on the OJS platform must read the copyright assignment terms and fill in the corresponding acceptance box.The intellectual property of articles belongs to the respective authors.On submitting articles for publication to the journal Terminàlia, authors accept the following terms:Authors assign to SCATERM (a subsidiary of Institut d'Estudis Catalans) the rights of reproduction, communication to the public and distribution of the articles submitted for publication to Terminàlia.Authors answer to SCATERM for the authorship and originality of submitted articles.Authors are responsible for obtaining permission for the reproduction of all graphic material included in articles.SCATERM declines all liability for the possible infringement of intellectual property rights by authors.The contents published in the journal, unless otherwise stated in the text or in the graphic material, are subject to a Creative Commons Attribution-NonCommercial-NoDerivs (by-nc-nd) 3.0 Spain licence, the complete text of which may be found at https://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.en. Consequently, the general public is authorised to reproduce, distribute and communicate the work, provided that its authorship and the body publishing it are acknowledged, and that no commercial use and no derivative works are made of it.The journal is not responsible for the ideas and opinions expressed by the authors of the published articles.
