Data · dataset · 2018
Handouts - Ten Lectures on Language, Cognition, and Language Acquisition
Listed in DataCite
In her Beijing lectures, Melissa Bowerman presents a lucid introduction and account of her research on a range of topics: how children acquire the semantics of spatial terms, how they construct categories and acquire the semantics of nouns, and how they master the semantics of verbs in early language acquisition.
Description
Bowerman also covers the learning of argument structure and expressions of end-state, with special attention to the adult speech that guides children, and hence also the role of typology in acquisition; how cross-linguistic variation affects, for example, how speakers represent ‘cutting’ and ‘breaking’ in different languages, and the relation of the Whorfian Hypothesis to cross-linguistic variations in the semantics of languages.
Bowerman’s over-riding concern throughout is with how children come to master the first language being spoken to them by their parents and caregivers.
Links
Where it is published
- Repository landing page brill.figshare.com/articles/Handouts_-_Ten_Lectures_on_Language_Cognition_and_Lan… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.7092836.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- creativecommons.org /licenses/by-nc/4.0/legalcode ↗
Creative Commons Attribution Non Commercial 4.0 International
license · from DataCite
- IsSupplementTo 10.1163/9789004362826 doi.org/10.1163/9789004362826 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.7092836.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.7092836.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Languages and literature
- Inferred from text
- Audio 65%
Related
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.7092836.v1 | 12 d ago | JSON v1 |
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|---|---|---|---|
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