2020
DOI: 10.24093/awej/vol11no4.4
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Corpus-based Analysis of Lexicosemantic Behaviour of Nervous System Diseases Names

Abstract: Terminology represents a significant factor in healthcare communication between specialists and patients. The present paper deals with the lexicosemantic characteristics of multi-word lexical units multiple sclerosis, amyotrophic lateral sclerosis, Parkinson’s disease, Alzheimer’s disease, epidural abscess, Huntington’s chorea, and carpal tunnel syndrome. The research questions focus on collocations, word combinations, and concordances in which they regularly appear; the first lemma to the left and the first l… Show more

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“…Corpus linguistics represents a powerful and versatile inquiry tool used to study natural and authentic language acquisition, processing, variation, and change. (Podesva, 2013;Stefanowitsch, 2020;McEnery & Wilson, 2001;Meyer, 2002;Cheng, 2012;Lacková, 2020) The term linguistic corpus refers to a representative, authentic, and sufficiently large collection of samples of language use under investigation. (Stefanowitsch, 2020) The biggest advantages of the corpus, compiled and analysed in any software, nowadays are global availability, speed of data processing, but above all efficiency in searching for specific elements, features, and forms according to the research goal.…”
Section: Corpus Linguisticsmentioning
confidence: 99%
“…Corpus linguistics represents a powerful and versatile inquiry tool used to study natural and authentic language acquisition, processing, variation, and change. (Podesva, 2013;Stefanowitsch, 2020;McEnery & Wilson, 2001;Meyer, 2002;Cheng, 2012;Lacková, 2020) The term linguistic corpus refers to a representative, authentic, and sufficiently large collection of samples of language use under investigation. (Stefanowitsch, 2020) The biggest advantages of the corpus, compiled and analysed in any software, nowadays are global availability, speed of data processing, but above all efficiency in searching for specific elements, features, and forms according to the research goal.…”
Section: Corpus Linguisticsmentioning
confidence: 99%