
Words can only get us so far: The role of multiword units in psycholinguistic research
The traditional ontological division between the lexicon and grammar has often resulted in a reductionist view of the lexicon, and lexical competence, as composed of individual words in isolation. This narrow view of the lexicon has transcended disciplinary boundaries, and is apparent in the focus on single words of widely used psycholinguistic measures of language (e.g., picture naming, verbal fluency, lexical decision) and cognitive ability alike (e.g., Stroop, recall in working memory span). The present paper argues that such an approach has imposed limitations on the questions that can be examined by researchers and on the generalizability of some results. Here I propose that, rather than assigning multiword units their own ‘niche’ in psycholinguistic studies, they should be viewed as a part of how core lexical competence is measured and conceptualized, both in monolingual and in bilingual speakers. I also review promising advances in recent years brought about by a surge in the number of studies focused on multiword units; and by new tasks of individual cognitive skill (e.g., multiword-based chunking ability). These hold the potential to allow for a cross-disciplinary shift in the examination of lexical competence as grounded in community-based norms and in line with current usage-based approaches.
Any author may post the post-refereed Accepted Manuscript version of their article in their Institutional Repository (only) with the appropriate acknowledgement with an embargo period on public access of 24 months from the date of official publication. They may do this upon acceptance of their mss but the institution may not provide public access until the embargo period has expired and when it does so, it must be under the terms of the Creative Commons CC BY-NC-ND licence.
Files
Metadata
Work Title | Words can only get us so far: The role of multiword units in psycholinguistic research |
---|---|
Access | |
Creators |
|
Keyword |
|
License | CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives) |
Work Type | Article |
Publisher |
|
Publication Date | 2023 |
Deposited | May 30, 2023 |
Versions
Analytics
Collections
This resource is currently not in any collection.