Detecting Latin-Based Medical Terminology in Croatian Texts

Kocijan, Kristina and di Buono, Maria Pia and Mijić, Linda. (2019). Detecting Latin-Based Medical Terminology in Croatian Texts. In: Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications. Communications in Computer and Information Science, 987 . Springer International Publishing, pp. 38-49. ISBN 978-3-030-10867-0

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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 diferent mechanisms of word formation may be applied to the same term. In our pursuit to map all the diferent 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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