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

Autor:	Matěj Karolyi, Martin Komenda, Jakub Ščavnický
Předmět:	Czech Medical curriculum business.industry Computer science 4. Education Key features computer.software_genre language.human_language Curriculum management Initial phase Morphological analysis language Artificial intelligence business Curriculum computer Natural language processing
Zdroj:	Scopus-Elsevier CSEDU (1)
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed8eaadd69f43598653d24d96edacb76 http://www.scopus.com/inward/record.url?eid=2-s2.0-85047647312&partnerID=MN8TOARS Zobrazit plný text záznamu