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Authors: Matěj Karolyi ; Jakub Ščavnický and Martin Komenda

Affiliation: Masaryk University, Czech Republic

ISBN: 978-989-758-291-2

Keyword(s): Morphological Analysis, Medical Curriculum, OPTIMED, Search Engine.

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.

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Paper citation in several formats:
Karolyi, M.; Ščavnický, J. and Komenda, M. (2018). First Step Towards Enhancement of Searching Within Medical Curriculum in Czech Language using Morphological Analysis.In Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-291-2, pages 288-293. DOI: 10.5220/0006757902880293

@conference{csedu18,
author={Matěj Karolyi. and Jakub Ščavnický. and Martin Komenda.},
title={First Step Towards Enhancement of Searching Within Medical Curriculum in Czech Language using Morphological Analysis},
booktitle={Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2018},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006757902880293},
isbn={978-989-758-291-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - First Step Towards Enhancement of Searching Within Medical Curriculum in Czech Language using Morphological Analysis
SN - 978-989-758-291-2
AU - Karolyi, M.
AU - Ščavnický, J.
AU - Komenda, M.
PY - 2018
SP - 288
EP - 293
DO - 10.5220/0006757902880293

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