about
Simplicity and Specificity in Language: Domain-General Biases Have Domain-Specific EffectsRevise and resubmit: how real-time parsing limitations influence grammar acquisition.Greater learnability is not sufficient to produce cultural universalsAtypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmissionCulture and biology in the origins of linguistic structureHow language production shapes language form and comprehensionLanguage learners restructure their input to facilitate efficient communicationThe Relationship Between Artificial and Second Language Learning.Influence of Perceptual Saliency Hierarchy on Learning of Language Structures: An Artificial Language Learning Experiment.Harmonic biases in child learners: in support of language universals.Some structural aspects of language are more stable than others: a comparison of seven methodsThe neurophysiology of language processing shapes the evolution of grammar: evidence from case marking.The scope of usage-based theoryCulture shapes the evolution of cognition.Language learning, language use and the evolution of linguistic variation.Language learners privilege structured meaning over surface frequencyStatistical learning: From acquiring specific items to forming general rulesIsolation and identification of fungi associated with spoilt fruits vended in Gwagwalada market, Abuja, Nigeria.Many important language universals are not reducible to processing or cognition.Balancing Effort and Information Transmission During Language Acquisition: Evidence From Word Order and Case Marking.Statistical language learning: computational, maturational, and linguistic constraints.Developmental Constraints on Learning Artificial Grammars with Fixed, Flexible and Free Word Order.Cognitive biases, linguistic universals, and constraint-based grammar learning.Quantitative standards for absolute linguistic universals.Alternative Solutions to a Language Design Problem: The Role of Adjectives and Gender Marking in Efficient Communication.Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing.Human Information Processing Shapes Language Change.Linguistic structure emerges through the interaction of memory constraints and communicative pressures.A Bayesian model of biases in artificial language learning: the case of a word-order universal.Form and Function in the Evolution of Grammar.
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Learning biases predict a word order universal.
@en
Learning biases predict a word order universal.
@nl
type
label
Learning biases predict a word order universal.
@en
Learning biases predict a word order universal.
@nl
prefLabel
Learning biases predict a word order universal.
@en
Learning biases predict a word order universal.
@nl
P1433
P1476
Learning biases predict a word order universal.
@en
P2093
Géraldine Legendre
Jennifer Culbertson
P304
P356
10.1016/J.COGNITION.2011.10.017
P577
2011-12-28T00:00:00Z