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Word classes

Towards a more comprehensive usage-based account
Authors: Hollmann, Willem;
Abstract

Structuralists and generativists define word classes distributionally (Palmer 1971, Baker 2003, Aarts 2007), while cognitive linguists take a semantic (Langacker 1987a) or semantic-pragmatic approach (Croft 1991, 2001). Psycholinguistic research, by contrast, has shown that phonological properties also play a role (Kelly 1992, Monaghan et al. 2005). This study reports on a production experiment involving English nonce nouns and verbs. The data confirm the importance of phonology, whilst also suggesting that distributional facts are involved in lexical categorisation. Together with the existing psycholinguistic evidence, the results show that both the generative and cognitive models of word classes are too restricted. However, the usage-based model can accommodate the facts straightforwardly. This was already anticipated by Taylor (2002) but is worked out in more detail here by elaborating on his notion of phonological “sub-schemas” and by bringing together insights from Croft (1991, 2001) related to discourse propositional act constructions and recent suggestions by Langacker (2008b) concerning “summary scanning” and “sequential scanning”.

Country
United Kingdom
Related Organizations
Keywords

410, 400

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
30
Top 10%
Average
Average
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