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Detecting Latin-Based Medical Terminology in Croatian Texts

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Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications (NooJ 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 987))

Abstract

No matter what the main language of texts in the medical domain is, there is always an evidence of the usage of Latin-derived words and formative elements in terminology development. Generally speaking, this usage presents language-specific morpho-semantic behaviors in forming both technical-scientific and common-usage words. Nevertheless, this usage of Latin in Croatian medical texts does not seem consistent due to the fact that different mechanisms of word formation may be applied to the same term. In our pursuit to map all the different occurrences of the same concept to only one, we propose a model designed within NooJ and based on dictionaries and morphological grammars. Starting from the manual detection of nouns and their variations, we recognize some word formation mechanisms and develop grammars suitable to recognize Latinisms and Croatinized Latin medical terminology.

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Acknowledgement

This research has been partly supported by the European Regional Development Fund under the grant KK.01.1.1.01.0009 (DATACROSS).

Author information

Authors and Affiliations

  1. Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia

    Kristina Kocijan

  2. TakeLab ZEMRIS, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Maria Pia di Buono

  3. Department of Classical Philology, University of Zadar, Zadar, Croatia

    Linda Mijić

Authors
  1. Kristina Kocijan
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  2. Maria Pia di Buono
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  3. Linda Mijić
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Corresponding author

Correspondence to Kristina Kocijan .

Editor information

Editors and Affiliations

  1. University of Palermo, Palermo, Italy

    Ignazio Mauro Mirto

  2. University of Salerno, Fisciano, Italy

    Mario Monteleone

  3. Université de Franche-Comté, Besancon, France

    Max Silberztein

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Kocijan, K., di Buono, M.P., Mijić, L. (2019). Detecting Latin-Based Medical Terminology in Croatian Texts. In: Mirto, I., Monteleone, M., Silberztein, M. (eds) Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications. NooJ 2018. Communications in Computer and Information Science, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-030-10868-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-10868-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10867-0

  • Online ISBN: 978-3-030-10868-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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