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

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 1999年 / 263卷 / 1-4期

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

页码：427 / 437

页数：11

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