The neglected universals: Learnability constraints and discourse cues
Identifieur interne : 000258 ( Main/Exploration ); précédent : 000257; suivant : 000259The neglected universals: Learnability constraints and discourse cues
Auteurs : Heidi Waterfall [États-Unis] ; Shimon Edelman [États-Unis]Source :
- Behavioral and Brain Sciences [ 0140-525X ] ; 2009-10.
Abstract
Converging findings from English, Mandarin, and other languages suggest that observed “universals” may be algorithmic. First, computational principles behind recently developed algorithms that acquire productive constructions from raw texts or transcribed child-directed speech impose family resemblance on learnable languages. Second, child-directed speech is particularly rich in statistical (and social) cues that facilitate learning of certain types of structures.
Url:
DOI: 10.1017/S0140525X09990756
Affiliations:
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<front><div type="abstract">Converging findings from English, Mandarin, and other languages suggest that observed “universals” may be algorithmic. First, computational principles behind recently developed algorithms that acquire productive constructions from raw texts or transcribed child-directed speech impose family resemblance on learnable languages. Second, child-directed speech is particularly rich in statistical (and social) cues that facilitate learning of certain types of structures.</div>
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