Korpusové porovnání substantiv "problem" a "issue"
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Date
2023-08-31
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Abstract
Tato bakalářská práce si klade za cíl zanalyzovat problematický fenomén synonymie, a to na pozadí korpusového porovnání substantiv issue a problem. Práce je rozdělena do dvou hlavních částí, z nichž teoretická část představuje úvod do lexikální sémantiky a korpusové lingvistiky. Praktická část následně uvádí použitou metodologii, zdroje dat, analýzu slovníkových a dalších definic dvou zkoumaných substantiv a taktéž korpusovou analýzu provedenou s pomocí nástroje Sketch Engine. Korpusová analýza zkoumá frekvenci použití a kolokační vzorce obou zkoumaných substantiv v korpusu English Web 2020 se záměrem získat informace o jejich použití a významu. Autor si u obou substantiv issue a problem klade za cíl určit stupeň synonymie a na základě dat získaných korpusovou analýzou a jejím srovnáním s dalšími lexikografickými zdroji identifikovat, jaké rozdíly a podobnosti mezi těmito dvěma slovy existují.
This Bachelor's thesis aims to investigate the complex phenomenon of synonymy through a corpus-based comparison of the nouns issue and problem. The thesis is structured into two main parts: the theoretical part, which provides an introduction to lexical semantics and corpus linguistics, and the practical part, which outlines the methodology and sources of data, analyses the definitions of the target nouns provided by monolingual dictionaries and other internet sources, and conducts a corpus analysis using the Sketch Engine search software. The corpus analysis examines the frequency of use and collocational patterns of the two target nouns in the English Web 2020 corpus, providing valuable insights into their usage and meaning. The author aims to determine the degree to which the nouns issue and problem are synonymous, and identify the differences and overlaps between them, based on the findings from the corpus analysis and comparison with various lexicographical sources.
This Bachelor's thesis aims to investigate the complex phenomenon of synonymy through a corpus-based comparison of the nouns issue and problem. The thesis is structured into two main parts: the theoretical part, which provides an introduction to lexical semantics and corpus linguistics, and the practical part, which outlines the methodology and sources of data, analyses the definitions of the target nouns provided by monolingual dictionaries and other internet sources, and conducts a corpus analysis using the Sketch Engine search software. The corpus analysis examines the frequency of use and collocational patterns of the two target nouns in the English Web 2020 corpus, providing valuable insights into their usage and meaning. The author aims to determine the degree to which the nouns issue and problem are synonymous, and identify the differences and overlaps between them, based on the findings from the corpus analysis and comparison with various lexicographical sources.
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lexikální sémantika, synonymie, korpusová lingvistika, korpus, kolokace, Sketch Engine, issue, problem