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Semantic neology

Challenges in matching corpus-based semantic change to real-world change
Authors: Antoinette Renouf;

Semantic neology

Abstract

Abstract This study deals with contemporary real-world social change and its linguistic expression by means of neosemes, with the help of the WebCorpLSE automated collocation analysis software. The study briefly outlines the history and pattern of diffusion of each of the five user-defined neosemes, noting where possible the tipping point of popularization. We examine these modern neosemes in a series of case studies, focussing on the challenges faced in this task, for instance in the form of rarity of occurrence, as emergent or ephemeral formations. The functionality of the software is examined in each case, in order to demonstrate various measures which can be undertaken to allow or enhance its performance in teasing out collocational profiles from sparse data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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