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Prethodno priopćenje
https://doi.org/10.31724/rihjj.46.2.17

Building Croatian Medical Dictionary from Medical Corpus

Kristina Kocijan   ORCID icon orcid.org/0000-0001-9467-5313 ; Faculty of Humanities and Social Sciences, University of Zagreb
Silvia Kurolt ; Faculty of Humanities and Social Sciences, University of Zagreb
Linda Mijić   ORCID icon orcid.org/0000-0003-3246-7652 ; Department of Classical Philology, University of Zadar

Puni tekst: engleski, pdf (1 MB) str. 765-782 preuzimanja: 153* citiraj
APA 6th Edition
Kocijan, K., Kurolt, S. i Mijić, L. (2020). Building Croatian Medical Dictionary from Medical Corpus. Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, 46 (2), 765-782. https://doi.org/10.31724/rihjj.46.2.17
MLA 8th Edition
Kocijan, Kristina, et al. "Building Croatian Medical Dictionary from Medical Corpus." Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, vol. 46, br. 2, 2020, str. 765-782. https://doi.org/10.31724/rihjj.46.2.17. Citirano 14.05.2021.
Chicago 17th Edition
Kocijan, Kristina, Silvia Kurolt i Linda Mijić. "Building Croatian Medical Dictionary from Medical Corpus." Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje 46, br. 2 (2020): 765-782. https://doi.org/10.31724/rihjj.46.2.17
Harvard
Kocijan, K., Kurolt, S., i Mijić, L. (2020). 'Building Croatian Medical Dictionary from Medical Corpus', Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, 46(2), str. 765-782. https://doi.org/10.31724/rihjj.46.2.17
Vancouver
Kocijan K, Kurolt S, Mijić L. Building Croatian Medical Dictionary from Medical Corpus. Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje [Internet]. 2020 [pristupljeno 14.05.2021.];46(2):765-782. https://doi.org/10.31724/rihjj.46.2.17
IEEE
K. Kocijan, S. Kurolt i L. Mijić, "Building Croatian Medical Dictionary from Medical Corpus", Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, vol.46, br. 2, str. 765-782, 2020. [Online]. https://doi.org/10.31724/rihjj.46.2.17

Sažetak
The overall objective of this project is to define linguistic models at the lexical and syntactic levels that appear in the health domain, depending on the type of corpus. In the first phase of the project, the texts forming the medical corpus A – MedCorA (2,232 pharmaceutical instructions for medicaments available in Croatia) were prepared. The terminology found in this corpus was analyzed and the semantic subdomains (anatomy, condition, microorganism, chemistry, etc.) within the medical domain were defined and added to the dictionary entries. These dictionary resources were used as the foundation for the second phase in which NooJ morphological grammars were built allowing annotation of medical terminology in the corpus. Said grammars were built to allow for recognizing Latinisms, as well as Latin expressions written with Croatian case endings, not only Croatian words. Prepared resources are made available to a broader scientific community via Sketch Engine for further research in the field of medicine enabling additional research and development of algorithms for, among others, medical documents classification, medical texts’ information retrieval or machine translation of medical documentation, taking into account quality and reliability as well as terminology variability.

Ključne riječi
language processing; semantic annotations; medical domain; NooJ; Croatian

Hrčak ID: 245468

URI
https://hrcak.srce.hr/245468

[hrvatski]

Posjeta: 361 *