Derivational Networks Across Languages 2020
DOI: 10.1515/9783110686630-015
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15 Derivational networks in English

Abstract: This chapter covers the investigation of English derivational networks. Detailed descriptions of English derivation can be found in the work of, amongst others, Marchand (1969), Bauer (1983), Adams (2001), and Plag (2003. The preparation of the data sample was based on searches in the British National Corpus (BNC), the Oxford English Dictionary (OED), and the internet. Words marked as rare, obsolete or regional (e.g. nameling, adname, foretooth, cutty) in the OED were not included. On the advice of the project… Show more

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(2 citation statements)
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“…This section compares the results obtained for the individual parameters of OW-based derivational networks with the data on derivational networks for 'standard' (i.e., noniconic) words in English (Popova 2020) and in Slovak (Ivanová 2020). This makes it possible to assess the position of onomatopoeias in the wordstock and, in this way, contribute to the discussion of whether or not it represents a 'unique species' (Körtvélyessy 2020(Körtvélyessy , 2021a).…”
Section: Wordstockmentioning
confidence: 99%
See 1 more Smart Citation
“…This section compares the results obtained for the individual parameters of OW-based derivational networks with the data on derivational networks for 'standard' (i.e., noniconic) words in English (Popova 2020) and in Slovak (Ivanová 2020). This makes it possible to assess the position of onomatopoeias in the wordstock and, in this way, contribute to the discussion of whether or not it represents a 'unique species' (Körtvélyessy 2020(Körtvélyessy , 2021a).…”
Section: Wordstockmentioning
confidence: 99%
“…Section 4 presents and discusses the results obtained from an analysis and comparison of English and Slovak networks by the individual parameters. The data available for the English (Popova 2020) and Slovak (Ivanová 2020) NIW-based derivational networks 2 make it possible to draw conclusions on similarities and differences between NIW-based and OW-based derivational networks (section 5); these networks are compared by the individual parameters introduced in section 3. Section 6 summarizes the fundamental observations and findings of our research.…”
Section: Introductionmentioning
confidence: 99%