The predictive function of Swedish word accents Article Swipe
Swedish lexical word accents have been repeatedly said to have a low functional load. Even so, the language has kept these tones ever since they emerged probably over a thousand years ago. This article proposes that the primary function of word accents is for listeners to be able to predict upcoming morphological structures and narrow down the lexical competition rather than being lexically distinctive. Psycho- and neurophysiological evidence for the predictive function of word accents is discussed. A novel analysis displays that word accents have a facilitative role in word processing. Specifically, a correlation is revealed between how much incorrect word accents hinder listeners’ processing and how much they reduce response times when correct. Finally, a dual-route model of the predictive use of word accents with distinct neural substrates is put forth.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpsyg.2022.910787
- OA Status
- gold
- Cited By
- 12
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288426700
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4288426700Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpsyg.2022.910787Digital Object Identifier
- Title
-
The predictive function of Swedish word accentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-07-28Full publication date if available
- Authors
-
Mikael RollList of authors in order
- Landing page
-
https://doi.org/10.3389/fpsyg.2022.910787Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3389/fpsyg.2022.910787Direct OA link when available
- Concepts
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Word (group theory), Psychology, Function (biology), Word lists by frequency, Linguistics, Word recognition, Cognitive psychology, Natural language processing, Computer science, Sentence, Reading (process), Philosophy, Biology, Evolutionary biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 5, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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