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Implicit Learning of Recursive Context-Free Grammars
Rohrmeier, Martin1; Fu, Qiufang2; Dienes, Zoltan3,4; Rohrmeier, M (reprint author), Free Univ Berlin, Berlin, Germany.
2012-10-19
Source PublicationPLOS ONE
ISSN1932-6203
SubtypeArticle
Volume7Issue:10Pages:e45885
Contribution Rank2
AbstractContext-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed awareness and implicitness. This paper explores the implicit learning of context-free grammars employing features of hierarchical organization, recursive embedding and long-distance dependencies. The grammars also featured the distinction between left-and right-branching structures, as well as between centre-and tail-embedding, both distinctions found in natural languages. People acquired unconscious knowledge of relations between grammatical classes even for dependencies over long distances, in ways that went beyond learning simpler relations (e.g. n-grams) between individual words. The structural distinctions drawn from linguistics also proved important as performance was greater for tail-embedding than centre-embedding structures. The results suggest the plausibility of implicit learning of complex context-free structures, which model some features of natural languages. They support the relevance of artificial grammar learning for probing mechanisms of language learning and challenge existing theories and computational models of implicit learning.
Subject AreaCognitive Psychology
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Indexed BySCI
Language英语
Funding OrganizationChinese Ministry of Science and Technology [2011CB302201] ; National Natural Science Foundation of China [30900395]
Project Intro.This research was supported in part by grants from 973 Program of Chinese Ministry of Science and Technology (2011CB302201), the National Natural Science Foundation of China (30900395). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
WOS IDWOS:000310050200006
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/12853
Collection脑与认知科学国家重点实验室
Corresponding AuthorRohrmeier, M (reprint author), Free Univ Berlin, Berlin, Germany.
Affiliation1.Free Univ Berlin, Berlin, Germany
2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
3.Univ Sussex, Sackler Ctr Consciousness Sci, Brighton, E Sussex, England
4.Univ Sussex, Sch Psychol, Brighton, E Sussex, England
Recommended Citation
GB/T 7714
Rohrmeier, Martin,Fu, Qiufang,Dienes, Zoltan,et al. Implicit Learning of Recursive Context-Free Grammars[J]. PLOS ONE,2012,7(10):e45885.
APA Rohrmeier, Martin,Fu, Qiufang,Dienes, Zoltan,&Rohrmeier, M .(2012).Implicit Learning of Recursive Context-Free Grammars.PLOS ONE,7(10),e45885.
MLA Rohrmeier, Martin,et al."Implicit Learning of Recursive Context-Free Grammars".PLOS ONE 7.10(2012):e45885.
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