Doctoral Dissertation Research: Spoken Language Variation in Chanka, an Endangered Language

博士论文研究：濒危语言昌卡语的口语变异

• 批准号: 1918386
• 负责人: Gregory Guy
• 金额: $ 1.51万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1918386&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Spoken; Language

Social and linguistic factors related to standard language ideologies have been found to affect the patterning of linguistic variables in well-known languages. However, in indigenous speech communities, it is not well understood whether the same factors predict variation in the same way, given that social factors (especially education-related ideologies) can be quite different. This project investigates which factors constrain variation in an endangered indigenous language of South America. The documentation will form the core material to be analyzed in a doctoral dissertation. Broader impacts include a publicly available deposit of the recordings, transcriptions, and metadata, as well as community training in data collection and linguistic analysis. Results from this work thus directly encourage language maintenance by empowering community-driven documentation and facilitating the creation of accurate pedagogical materials.Natalie Povilonis de Vilchez, a doctoral candidate at New York University, will conduct and analyze sociolinguistic interviews in the Chanka variety of Quechua, spoken in Peru. Studying Chanka offers insight into how sociolinguistic theories apply to situations where indigenous languages are rarely appropriate for education or formal domains, and where speakers have varied fluency in the majority language (Spanish). While endangered, Chanka continues to be a vital code for many speakers, thus allowing documentation of the language in actual use. This project will develop a transcribed corpus of approximately 64 hours of sociolinguistic interviews with speakers in four communities, selected as proxies for differences in Spanish fluency, ruralness, and education. Traditional variationist qualitative methods, often involving reading tasks, are adapted as audiovisual activities to determine how non-literate speakers evaluate different ways of speaking. The quantitative analysis focuses on rates of use of both a phonological variable that is the object of conscious correction (the uvular phoneme), and morphosyntactic variables below the level of speaker awareness (word order and related determiners and case marking).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.

与标准语言意识形态相关的社会和语言因素影响着语言变量的模式。然而，在土著语言社区，鉴于社会因素（特别是与教育有关的意识形态）可能大不相同，人们不太清楚同样的因素是否以同样的方式预测变异。这个项目调查了哪些因素限制了南美洲濒危土著语言的变化。这些文档将构成博士论文中要分析的核心材料。更广泛的影响包括公开提供录音、转录和元数据的存款，以及在数据收集和语言分析方面的社区培训。因此，这项工作的成果通过授权社区驱动的文档和促进创建准确的教学材料，直接鼓励语言维护。纽约大学的博士候选人Natalie Povilonis de Vilchez将使用秘鲁的克丘亚语Chanka变体进行社会语言学访谈并进行分析。研究Chanka提供了深入了解社会语言学理论如何适用于土著语言很少适合教育或正式领域的情况，以及发言者在大多数语言（西班牙语）中的流利程度。虽然濒危，但Chanka仍然是许多使用者的重要代码，因此可以记录实际使用的语言。该项目将开发一个转录语料库的约64小时的社会语言学采访的发言者在四个社区，选择西班牙语流利，农村和教育的差异代理。传统的变异定性方法，往往涉及阅读任务，改编为视听活动，以确定如何不识字的发言者评估不同的说话方式。定量分析的重点都是有意识的纠正对象的语音变量（小舌音素），和低于说话人意识水平的形态句法变量（词序和相关的限定词和情况标记）的使用率。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。