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: $ 43万
• 依托单位: Northwestern University
• 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
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0846147&HistoricalAwards=false
• 关键词: CAREER; Integrating; Grammatical; Psycholinguistic; Approaches

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.

该奖项是根据2009年的《美国复苏与再投资法》（Privical Law 111-5）资助的。语音研究构建了丰富的数学理论，以精确地表征了人类语言中观察到的声音的系统模式。但是，这些理论在很大程度上忽略了人类的实时过程。例如，当扬声器决定产生特定的声音序列时，他如何计划嘴唇和舌头的动作序列以产生适当的声音？这些问题一直是心理语言学研究的重点，其中详细的实验导致了人类声音处理的复杂但基本上定性的理论。该项目整合了形式的语言和心理语言方法的优势，以开发一个更强大的人类言语生产框架。该理论（梯度谐波语法）建立在最近开发的谐波语法的基础上，该语法是基于数值的，基于数值的声音结构理论。该项目将通过结合代表性和处理机制中的任何分类变化来扩展该理论，这是心理语言学中的一个核心概念。梯度谐波语法将通过一组定量模型进行测试，这些定量模型通过仔细的，无错误的语音和包含错误发音的语音来检查实验数据。然后，将扩展框架和计算工具，以建模双语扬声器中多个声音系统的梯度相互作用。为了使研究社区最大程度地访问梯度谐波语法框架，将通过Internet公开提供一组灵活，用户友好的开源应用程序。这些应用程序将包括一组实验室任务，以帮助教育工作者将这些工具带入课堂。语音错误的实验性工作可以作为对言语生产障碍的未来研究的基础，例如中风受害者。其他研究还将使用此通用框架来帮助了解双语扬声器在语音骄傲期间如何管理多个音响系统。这种研究是理解人类语言在越来越多的多语言，相互联系的世界中的关键部分。