Pausing, inhalation, and language structure

停顿、吸气和语言结构

• 批准号: 2315232
• 负责人: Melissa Redford
• 金额: $ 25万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2315232&HistoricalAwards=false
• 关键词: Pausing; inhalation; language; structure

It is difficult to imagine how what individuals plan to say in conversation interacts with breathing because language is so clearly a high-level cognitive function, and breathing is so clearly a basic physiological function. Yet, planning for language and motor planning for breathing do interact. During speaking, inhalations are timed to coincide with important grammatical junctures, like sentence boundaries. Also, the length of sentences that speakers produce can be predicted from the depth of the breaths taken before speaking. This project focuses on how language and breathing interact during speaking. The goal is to advance psycholinguistic theory and, with it, the conceptual models that frame understanding and treatment of communication disorders. Importantly, no current theories of language production address speech breathing despite its fundamental role in speaking: all of sound production, from whispers to shouts, depends on air flowing out from the lungs. Thus, this project addresses a substantial gap in understanding how spoken language works. The research team's hypothesis is that language and speech motor processes, such as speech-related breathing, influence one another because they develop together and are used together in communication. This position motivates the developmental approach taken in this project. School-aged children and adults engage in different spoken language tasks while their speech is audio recorded and their breathing (chest and abdominal) movements are measured. The spontaneous speech elicited from the tasks the tasks is segmented into pause-delimited utterances, with pauses coded for the presence or absence of inhalation and, when inhalations are present, for inhalation depth. At the same time, the utterances are transcribed and then tagged for part-of-speech and other linguistic information. Using the tools of corpus linguistics and model comparison, the researchers identify language factors that best explain the inhalation data. The researchers predict that discourse structure and language habits provide a better account of inhalation patterns than syntactic boundary strength or syntactic complexity—the language factors most often discussed in relation to inhalation. Additionally, physiology (e.g., measures of lung function and body size) likely provides a better account of children’s speech breathing patterns than adult speech breathing patterns because children’s discourse structure is flatter than adults’ and their language habits are less entrenched than adult language habits. The project establishes a developmental corpus of spontaneous speech marked out for inhalation patterns that other researchers can use to investigate speech breathing from different theoretical perspectives. The researchers also make publicly available the in-house software developed for the project. Finally, the research team engages in science education through community outreach and by providing undergraduate students with research experience in a setting that fosters cross-disciplinary interactions between students who pursue study in linguistics and psychology and those who pursue study in communication disorders and sciences or in disability studies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

很难想象人们在谈话中打算说的话是如何与呼吸相互作用的，因为语言显然是一种高级认知功能，而呼吸显然是一种基本的生理功能。然而，语言规划和呼吸运动规划确实是相互作用的。在说话时，吸气的时间与重要的语法节点一致，比如句子的边界。此外，说话者说出的句子的长度可以通过说话前呼吸的深度来预测。这个项目的重点是语言和呼吸在说话过程中是如何相互作用的。目标是推进心理语言学理论，并以此为基础，构建理解和治疗沟通障碍的概念模型。重要的是，尽管语音呼吸在说话中起着重要作用，但目前还没有任何语言产生理论涉及语音呼吸：所有的声音产生，从耳语到喊叫声，都依赖于从肺部流出的空气。因此，这个项目解决了在理解口语如何工作方面的一个实质性差距。研究小组的假设是，语言和语言运动过程（如与语言相关的呼吸）相互影响，因为它们共同发展，并在交流中一起使用。这个职位激励了这个项目所采用的发展方法。学龄儿童和成人参与不同的口语任务，同时他们的讲话被录音，他们的呼吸（胸部和腹部）运动被测量。从任务中引出的自发语音被分割成停顿分隔的话语，停顿被编码为是否吸气，当吸气时，被编码为吸气深度。与此同时，话语被转录，然后标记词性和其他语言信息。利用语料库语言学和模型比较的工具，研究人员确定了最能解释吸入数据的语言因素。研究人员预测，话语结构和语言习惯比句法边界强度或句法复杂性更能说明吸入模式，而句法边界强度和句法复杂性是最常被讨论的与吸入有关的语言因素。此外，生理学（例如，肺功能和体型的测量）可能比成人语言呼吸模式更能说明儿童的语言呼吸模式，因为儿童的话语结构比成人平坦，他们的语言习惯不像成人那样根深蒂固。该项目建立了一个自发语言的发育语料库，标记为吸入模式，其他研究人员可以从不同的理论角度研究语言呼吸。研究人员还公开了为该项目开发的内部软件。最后，研究团队通过社区外展和为本科生提供研究经验，促进语言学和心理学学生与交流障碍和科学或残疾研究学生之间的跨学科互动，从而开展科学教育。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。