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Language evolution from a simulation perspective: On the coevolution of compositionality and regularity.

机译:从模拟的角度看语言的演变:关于组合性和规律性的共同进化。

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摘要

The thesis presents a multi-agent computational model to explore a key question in language emergence, i.e., whether syntactic abilities result from innate, species-specific competences, or they evolve from domain-general abilities through gradual adaptations. The model simulates a process of coevolutionary emergence of two linguistic universals (compositionality, in the form of lexical items; and regularity, in the form of constitute word orders) in human language, i.e., the acquisition and conventionalization of these features coevolve during the transition from a holistic signaling system to a compositional language. It also traces a "bottom-up" process of syntactic development, i.e., agents, by reiterating local orders between two lexical items, can gradually form global order(s) to regulate multiple lexical items in sentences. These results suggest that compositionality, regularity, and correlated linguistic abilities could have emerged as a result of some domain-general abilities, such as pattern extraction and sequential learning.; In addition to individual learning mechanisms, the thesis further explores the effects of cultural transmission, social and semantic structures on language evolution. First, it simulates some major forms of cultural transmission, and discusses the role of conventionalization during horizontal transmission in language evolution. Second, it traces the emergence and maintenance of language in some stable social structures, and explores the role of popular agents in language evolution, the relationship between mutual understanding and social hierarchy, and the effect of exoteric communications on the convergence of communal languages. Finally, it studies language maintenance given different semantic spaces, and illustrates that the semantic structure may cause bias in the constituent word order, which can help to predict the word order bias in human languages. These explorations examine the role of self-organization in language evolution, provide some reconsideration on the bottleneck effect during cultural transmission, and shed light on the study of the social structure effects on language evolution.
机译:本文提出了一种多智能体计算模型来探讨语言出现中的一个关键问题,即语法能力是由先天的,特定于物种的能力产生的,还是由领域一般能力通过逐渐适应而演变而来。该模型模拟了人类语言中两种语言通用性(组成性,以词汇形式;以及规律性,以构成单词顺序的形式)共同进化的过程,即,在过渡过程中,这些特征的获取和常规化共同发展。从整体信号系统到合成语言。它还追溯了句法发展的“自下而上”的过程,即代理通过重申两个词汇项目之间的局部顺序,可以逐步形成全局顺序,以规范句子中的多个词汇项目。这些结果表明,由于一些领域通用的能力,例如模式提取和顺序学习,可能出现了组合性,规律性和相关的语言能力。除了个体学习机制,论文还探讨了文化传播,社会和语义结构对语言进化的影响。首先,它模拟了文化传播的一些主要形式,并讨论了传统化在水平传播过程中对语言进化的作用。其次,它追溯了语言在某些稳定的社会结构中的出现和维持,并探讨了大众行为主体在语言发展中的作用,相互理解与社会等级制度之间的关系以及公开交流对公共语言融合的影响。最后,研究了在给定不同语义空间的情况下的语言维护,并说明了语义结构可能会导致构成词序的偏向,从而有助于预测人类语言中的词序偏向。这些探索考察了自组织在语言进化中的作用,对文化传播过程中的瓶颈效应进行了重新思考,并为研究社会结构对语言进化的影响提供了启示。

著录项

  • 作者

    Gong, Tao.;

  • 作者单位

    The Chinese University of Hong Kong (Hong Kong).;

  • 授予单位 The Chinese University of Hong Kong (Hong Kong).;
  • 学科 Language Linguistics.; Sociology Social Structure and Development.; Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 346 p.
  • 总页数 346
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 语言学;社会结构和社会关系;自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:39:02

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