First step towards enhancement of searching within medical curriculum in Czech language using morphological analysis

KAROLYI, Matěj, Jakub ŠČAVNICKÝ and Martin KOMENDA. First step towards enhancement of searching within medical curriculum in Czech language using morphological analysis. Online. In Zvacek S.,Uhomoibhi J.,McLaren B.M.,Reilly R. CSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education. Setúbal: SciTePress, 2018. p. 288-293. ISBN 978-989-758-291-2. [citováno 2024-04-24]

Basic information

• Original name: First step towards enhancement of searching within medical curriculum in Czech language using morphological analysis
• Authors: KAROLYI, Matěj (203 Czech Republic, belonging to the institution), Jakub ŠČAVNICKÝ (703 Slovakia, belonging to the institution) and Martin KOMENDA (203 Czech Republic, belonging to the institution)
• Edition: Setúbal, CSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education, p. 288-293, 6 pp. 2018.
• Publisher: SciTePress

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Portugal
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• RIV identification code: RIV/00216224:14110/18:00102951
• Organization unit: Faculty of Medicine
• ISBN: 978-989-758-291-2
• Keywords in English: Medical Curriculum; Morphological Analysis; OPTIMED; Search Engine
• Tags: EL OK, rivok
• Tags: International impact, Reviewed

Abstract

This paper is focused on natural language processing techniques and morphological analysis of medical and healthcare curriculum corpus in the Czech language. We show an overview of basic steps that should lead to the improvement of search engine of an existing curriculum management system. The main goals of this initial phase are: to understand the morphological analysis and the currently used morphological analyser, to explore the possibilities of analyses and to deduce if these are suitable for the purposes of enhancing the search engine. As results, we explain how the morphological analysis helped us to reduce the density of unique words describing the curriculum and what are the key features of morphological analysis of the Czech language.

Links

• MUNI/FR/1568/2016, interní kód MU: Name: Portál OPTIMED – implementace nových funkcí pro efektivní vyhledávání

Investor: Masaryk University