THEROLEOFLATINANDGREEKTERMINOLOGICALELEMENTSINMEDICALTERMINOLOGY:ASYSTEMATICANALYSISOFCONTEMPORARYUSAGEANDEDUCATIONALIMPLICATIONS

Read full text
Authors: MaratovaOltinoyAnvarqizi
Cited by: 0

Abstract

Medicalterminologyconstitutesahighlyspecializedtechnicallanguagecharacterizedbysystematicconstructionprinciplesderivedpredominantlyfromclassicallanguages.Thisstudyexaminestherole,distribution,andfunctionalsignificanceofLatinandGreekterminologicalelementsincontemporarymedicalnomenclature.Throughsystematicanalysisof2,500commonlyusedmedicaltermsextractedfromstandardmedicaldictionaries,anatomicalnomenclaturedatabases,andclinicaldocumentation,weinvestigatedtherelativecontributionsofLatinandGreekelements,theirstructuralpatterns,andsemanticfunctions.Ouranalysisrevealedthat89.6%ofanalyzedmedicaltermscontainatleastoneLatinorGreekcomponent,withGreekelementspredominatinginpathologicalanddiagnosticterminology(62.4%),whileLatinelementsdominateanatomicalnomenclature(71.8%).Greekprefixesandsuffixesaccountfor76.3%ofword-formingelements,whereasLatinrootsconstitute68.2%ofanatomicalterms.ThemostfrequentlyoccurringGreekelementsinclude'cardio-'(heart),'-itis'(inflammation),'-ology'(studyof),and'-pathy'(disease),whilecommonLatinelementsinclude'musculus'(muscle),'os/osseus'(bone),'vena'(vein),and'arteria'(artery).Compoundtermsdemonstratedpredictableformationpatternsfollowingclassicalmorphologicalrules,with94.7%adheringtosystematicconstructionprinciples.HybridtermscombiningbothLatinandGreekelements,whilehistoricallydiscouraged,constitute23.4%ofmodernmedicalterminology,reflectingevolvingnomenclaturepractices.Analysisoftermcomprehensibilityrevealedthathealthcareprofessionalswithformalclassicallanguagetrainingdemonstrated34.2%higheraccuracyininterpretingunfamiliarmedicaltermscomparedtothosewithoutsuchtraining(p

Fields of Study & Subjects

Classical Anatomy and Histology linguistics and terminology studies Linguistics and Language Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN
Document type
Dataset