Abstract
Children learn language over such a short span of time and with such seeming ease, that many have assumed they must master language by means of a language-specific device. Artificial languages provide a useful tool for controlling prior learning and for manipulating specific variables of interest. This approach has resulted in a wealth of findings regarding the learning capabilities of children. Infant artificial language learning has become synonymous with statistical learning because of the emphasis in much of the work on learning statistical regularities. However, not all cases of artificial language learning entail learning statistical structure. For instance, some learning requires generalisation of relational patterns. This article explores statistical learning in language development in infants, phonological learning (discrimination of speech sounds, learning phonotactic regularities, phonological generalization), word segmentation, rudiments of syntax, generalization of sequential word order, category-based abstraction, and bootstrapping from prior learning.
| Original language | English (US) |
|---|---|
| Title of host publication | The Oxford Handbook of Psycholinguistics |
| Publisher | Oxford University Press |
| ISBN (Print) | 9780191743955, 9780198568971 |
| DOIs | |
| State | Published - Sep 18 2012 |
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Keywords
- Bootstrapping
- Categorybased abstraction
- Infants
- Language development
- Phonological learning
- Prior learning
- Sequential word order
- Statistical learning
- Syntax
- Word segmentation
ASJC Scopus subject areas
- Psychology(all)
Cite this
Statistical learning in infant language development. / Gomez, Rebecca L.
The Oxford Handbook of Psycholinguistics. Oxford University Press, 2012.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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TY - CHAP
T1 - Statistical learning in infant language development
AU - Gomez, Rebecca L
PY - 2012/9/18
Y1 - 2012/9/18
N2 - Children learn language over such a short span of time and with such seeming ease, that many have assumed they must master language by means of a language-specific device. Artificial languages provide a useful tool for controlling prior learning and for manipulating specific variables of interest. This approach has resulted in a wealth of findings regarding the learning capabilities of children. Infant artificial language learning has become synonymous with statistical learning because of the emphasis in much of the work on learning statistical regularities. However, not all cases of artificial language learning entail learning statistical structure. For instance, some learning requires generalisation of relational patterns. This article explores statistical learning in language development in infants, phonological learning (discrimination of speech sounds, learning phonotactic regularities, phonological generalization), word segmentation, rudiments of syntax, generalization of sequential word order, category-based abstraction, and bootstrapping from prior learning.
AB - Children learn language over such a short span of time and with such seeming ease, that many have assumed they must master language by means of a language-specific device. Artificial languages provide a useful tool for controlling prior learning and for manipulating specific variables of interest. This approach has resulted in a wealth of findings regarding the learning capabilities of children. Infant artificial language learning has become synonymous with statistical learning because of the emphasis in much of the work on learning statistical regularities. However, not all cases of artificial language learning entail learning statistical structure. For instance, some learning requires generalisation of relational patterns. This article explores statistical learning in language development in infants, phonological learning (discrimination of speech sounds, learning phonotactic regularities, phonological generalization), word segmentation, rudiments of syntax, generalization of sequential word order, category-based abstraction, and bootstrapping from prior learning.
KW - Bootstrapping
KW - Categorybased abstraction
KW - Infants
KW - Language development
KW - Phonological learning
KW - Prior learning
KW - Sequential word order
KW - Statistical learning
KW - Syntax
KW - Word segmentation
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U2 - 10.1093/oxfordhb/9780198568971.013.0036
DO - 10.1093/oxfordhb/9780198568971.013.0036
M3 - Chapter
AN - SCOPUS:84923555835
SN - 9780191743955
SN - 9780198568971
BT - The Oxford Handbook of Psycholinguistics
PB - Oxford University Press
ER -