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CAREER: Integrating Grammatical and Psycholinguistic Approaches to Phonological Processes in Speech Production

CAREER: Integrating Grammatical and Psycholinguistic Approaches to Phonological Processes in Speech Production
职业:将语法和心理语言学方法整合到语音生成的语音过程中
批准号:
0846147
负责人:
Matthew Goldrick
金额:
$43.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2014-08-31

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中文摘要
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英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Research in phonology has constructed rich mathematical theories to precisely characterize the systematic patterns of sounds observed in human languages. However, such theories have largely ignored how humans process sounds in real time. For example, when a speaker decides to produce a particular sequence of sounds, how does he plan out the sequence of movements of his lips and tongue to produce the appropriate sounds? These questions have been the focus of research in psycholinguistics, where detailed experimentation has led to sophisticated but largely qualitative theories of human sound processing. This project integrates the strengths of formal linguistic and psycholinguistic approaches to develop a more robust framework for the study of human speech production. The theory, Gradient Harmonic Grammar, builds on the recently-developed Harmonic Grammar, which is a numerical, constraint-based theory of sound structure. The project will extend this theory by incorporating gradience--non-categorical variation in representational and processing mechanisms--which is a central concept in psycholinguistics. Gradient Harmonic Grammar will be tested via a set of quantitative models that examine experimental data from careful, error-free speech and speech containing mispronunciations. The framework and computational tools will then be extended to model the gradient interaction of multiple sound systems in bilingual speakers. To make the Gradient Harmonic Grammar framework maximally accessible to the research community, a set of flexible, user-friendly, open-source applications will be made publicly available over the internet. These applications will include a set of laboratory assignments to help educators bring these tools into the classroom. The experimental work on speech errors can serve as the basis for future research into speech production disorders, for example, those of stroke victims. Additional studies will also use this general framework to help understand how bilingual speakers manage multiple sound systems during speech proudction. Such research is a critical part of understanding human language in an increasingly multilingual, interconnected world.
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Doctoral Dissertation Research: The effects of experience and attitudes on heritage bilinguals' language processing
  • 批准号:
    2141430
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.35万
  • 财政年份:
    2022
  • 负责人:
    Matthew Goldrick
  • 依托单位:
Enhancing research on speech and deep learning through holistic acoustic analysis
  • 批准号:
    2219843
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2022
  • 负责人:
    Matthew Goldrick
  • 依托单位:
Doctoral Dissertation Research: Role of Prior Knowledge in Consolidation of Novel Phonotactic Patterns for Speech Production
  • 批准号:
    2116802
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.1万
  • 财政年份:
    2021
  • 负责人:
    Matthew Goldrick
  • 依托单位:
Doctoral Dissertation Research: Why adapt? Phonotactic learning as non-native language adaptation
  • 批准号:
    1728173
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.01万
  • 财政年份:
    2017
  • 负责人:
    Matthew Goldrick
  • 依托单位:
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