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Language Change and Complex Adaptive System - Based on the Historical Data in English and Networks

Language Change and Complex Adaptive System - Based on the Historical Data in English and Networks
语言变迁与复杂适应系统——基于英语和网络的历史数据
批准号:
17520337
负责人:
OGURA Mieko
金额:
$2.25万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2007

项目摘要

项目成果

OGURA Mieko的其他基金

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中文摘要
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英文摘要
1. Language Change and Social NetworksIn Ogura & Wang, Dynamic Dialectology and Complex Adaptive System, Methods and Data in English Historical Dialectology (ed. by Dossena & Lass, Peter Lang, 2004), I synthesized linguistic selection, i.e., unconscious functional selection between available variants by learners, and language games, i.e., language spread by cooperation in interactions of individuals in the complex adaptive system of dynamic dialectology. In this study, I further Ogura & Wang (2004) and investigate how different structures of social networks, especially small-world networks and scale-free networks, affect the linguistic type of change and the game type of change, based on simulation and historical data from English. Our historical data constitute empirical basis for theories, and computer simulations allow us to create scenarios in which a large number of entities interact in an observable way.2. Evolution of the Small-world Networks of the LexiconIn this study I demons … More trate that polysemous links have a profound impact in the organization of the semantic graph, conforming it as a small-world network, based on the data from WordNet (version 2.0) and A Thesaurus of Old English (TOE) (J. Roberts, et. al., 1995). First I compile the database of 114648 nouns and 11306 verbs of Word Net and 18265 nouns and 7161 verbs in TOE, including the information of monosemy, polysemy, synonymy, word frequency, hypernymy, date of origin and date of retention.Then I show that the inclusion of polysemy decreases the average minimal length and produces a considerable number of words with high connectivity and clustering, creating a clustered short-range, i.e., small-world network.Furthermore I show that the higher frequency words construct the higher level of the hypernymy tree within each lexical category. This architecture is robust through the times, forming the basis of the small-world network.To the best of my knowledge, the investigations under 1 and 2 are the first attempts to connect the recently developed network theory to a large-scale English historical data, and they gave much impact at the International Conferences. Less
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DOI: --
发表时间: 2008
期刊: The Evolution of Language(World Scientific)(Book)
影响因子: --
作者: [Ogura, Mieko.]
通讯作者: Mieko.
Lexical Diffusion and Complex Adaptive System.
词汇扩散和复杂的适应系统。
DOI: --
发表时间: 2007
期刊: Studies in Modern English 23
影响因子: --
作者: [Ogura, Mieko.]
通讯作者: Mieko.
Lexical Diffusion and Complex Adaptive System
词汇扩散和复杂适应系统
DOI: --
发表时间: 2007
期刊: 近代英語研究 第23号
影响因子: --
作者: [Ogura, Mieko., Mieko Ogura, Mieko Ogura]
通讯作者: Mieko Ogura
DOI: --
发表时间: 2008
期刊: The Evolution of Language(World Scientific) Book
影响因子: --
作者: [Tomoji Tabata, et al., Mieko Ogura]
通讯作者: Mieko Ogura
14
    Language change and complex adaptive system-A study based on the historical data from English
    • 批准号:
      20520453
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $2.83万
    • 财政年份:
      2008
    • 负责人:
      OGURA Mieko
    • 依托单位:
    Lexical Diffusion and Biological Evolution -Based on the Historical Change of English
    • 批准号:
      11610512
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $1.28万
    • 财政年份:
      1999
    • 负责人:
      OGURA Mieko
    • 依托单位: