2017
DOI: 10.1075/lic.16005.kun
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Shallow features as indicators of English–German contrasts in lexical cohesion

Abstract: This paper contrasts lexical cohesion between English and German spoken and written registers, reporting findings from a quantitative lexical analysis. After an overview of research aims and motivations we formulate hypotheses on distributions of shallow features as indicators of lexical cohesion across languages and modes and with respect to register ranking and variation. The shallow features analysed are: highly frequent words in texts, lexical density, standardized type-token-ratio, top-frequent content wo… Show more

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Cited by 1 publication
(2 citation statements)
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“…Another important trend is the increasing attention to register, as evidenced in e.g. Xiao & McEnery (2010), Lefer & Vogeleer (2014), Aijmer & Lewis (2017) and Kunz et al (2018). As Aijmer & Lewis point out in the introduction to their edited volume, "the contrastive point of view highlights the dependences of the patterns on different social and cultural practices in the compared languages" (2017: 3).…”
Section: The Development Of Corpus-based Ca Through the Lens Of Langumentioning
confidence: 99%
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“…Another important trend is the increasing attention to register, as evidenced in e.g. Xiao & McEnery (2010), Lefer & Vogeleer (2014), Aijmer & Lewis (2017) and Kunz et al (2018). As Aijmer & Lewis point out in the introduction to their edited volume, "the contrastive point of view highlights the dependences of the patterns on different social and cultural practices in the compared languages" (2017: 3).…”
Section: The Development Of Corpus-based Ca Through the Lens Of Langumentioning
confidence: 99%
“…Monolingual studies (such as Biber 1988) have already established that lexicogrammatical features vary across registers, while cross-linguistic studies may find that registers vary in different ways or to different extents (e.g. Biber 2009, Kunz et al 2018. Fløttum et al (2006: 54) report that in their study of research articles in English, French and Norwegian, language was a less important variable than scientific discipline for the majority of the linguistic features examined.…”
Section: The Development Of Corpus-based Ca Through the Lens Of Langumentioning
confidence: 99%