A statistical-physics approach to language acquisition and language change

被引:4
作者
Cassandro, M
Collet, P
Galves, A
Galves, C
机构
[1] Univ Roma La Sapienza, Dipartimento Fis, I-00185 Rome, Italy
[2] Ecole Polytech, CNRS, F-91128 Palaiseau, France
[3] Ecole Polytech, Ctr Phys Theor, F-91128 Palaiseau, France
[4] Univ Sao Paulo, Inst Matemat & Estati Stica, BR-05315970 Sao Paulo, Brazil
[5] Univ Estadual Campinas, Inst Estudos Linguagem, BR-13081970 Campinas, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
grammar identification; language change; Gibbs states; maximum likelihood; entropy; simulated annealing;
D O I
10.1016/S0378-4371(98)00503-2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The aim of this paper is to explain why Statistical Physics can help understanding two related linguistic questions. The first question is how to model first language acquisition by a child. The second question is how language change proceeds in time. Our approach is based on a Gibbsian model for the interface between syntax and prosody. We also present a simulated annealing model of language acquisition, which extends the Triggering Learning Algorithm recently introduced in the linguistic literature.
引用
收藏
页码:427 / 437
页数:11
相关论文
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