Journal article
Learning from the input: a corpus-based investigation of Chinese classifiers in children’s books and child-directed speech
- Abstract:
- In Mandarin Chinese, numeral classifiers form a grammatical category that is syntactically obligatory when a noun is modified by a numeral or a demonstrative. The appropriate choice of a classifier is associated with the semantic properties of its corresponding noun and is context dependent. Experience with language is needed to learn these patterns, but little is known about how classifiers are structured in children’s language environments. We compared the frequency and distribution of classifier phrases in four corpora: child-directed speech, children’s television shows, children’s books, and adult-directed speech. Classifier usage in children’s books was more diverse than in both child-directed and adult speech. Books contained more specific classifiers that co-occurred with a higher proportion of unique nouns whereas everyday speech relied on more generic classifiers. Books therefore provide access to classifier-noun collocations that are rare in speech. Implications for language development and language processing are discussed.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1017/s030500092610049x
Authors
- Publisher:
- Cambridge University Press
- Journal:
- Journal of Child Language More from this journal
- Publication date:
- 2026-04-06
- Acceptance date:
- 2026-01-29
- DOI:
- EISSN:
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1469-7602
- ISSN:
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0305-0009
- Language:
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English
- Keywords:
- Pubs id:
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2366041
- Local pid:
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pubs:2366041
- Deposit date:
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2026-02-02
- ARK identifier:
Terms of use
- Copyright holder:
- Shi et al
- Copyright date:
- 2026
- Rights statement:
- © The Author(s), 2026. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
- Licence:
- CC Attribution (CC BY)
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