Doctoral Dissertation Research: Linguistic transfer in a contact variety of Spanish: Gender agreement production and attitudes

博士论文研究：西班牙语接触变体中的语言迁移：性别协议的产生和态度

• 批准号: 2234506
• 负责人: Victor Fernandez-Mallat
• 金额: $ 1.19万
• 依托单位: Georgetown University
• 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: 2023-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2234506&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Linguistic; transfer

This project analyzes non-standard forms of language use that arise in sustained language contact scenarios. Using elicited and spontaneous language production, the effects of implicit and explicit langauge attitudes are also analyzed. Languages that are in sustained contact often experience language change that is the result of one language on the other. These transfer effects may occur for grammatical features that are present in one language but absent in the other. This difference may give rise to the increased use of non-standard forms as compared to non-contact varieties of the same langauge. This research contributes to the understanding and description of non-standard language use in a large scale analysis that systematically investigates language use across levels of education, bilingual profiles, generations, and location. By examining such non-standard language use, this research contributes important empirical data on whether smaller minority languages can have transfer effects on a majority language. Prior observations on non-standard language use in contact settings have traditionally related non-standard forms to lower levels of education. This project tests this claim by investigating age, native language, language of schooling, level of education, as well as linguistic contexts. To investigate non-standard forms, speakers engage in a 45-minute-long semi-structured sociolinguistic interview. Participants’ implicit attitudes towards non-standard agreement are examined in an experimental task where they hear standard and non-standard forms, while rating what they hear. Explicit language attitudes are measured by participants' response to two explicit questions on their attitudes towards non-standard language use. The data obtained from this research provides a rich data set with comprehensive information on the social and linguistic factors that influence non-standard language variants, as well as the influence of language attitudes on production. This research contributes to a better understanding of the mechanisms underlying language change in contact scenarios.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.

该项目使用引发的和自发的语言产生来分析持续接触的语言中经常经历的语言变化的内隐和外显语言态度的影响。一种语言对另一种语言的影响可能会发生在一种语言中存在而另一种语言中不存在的语法特征中，与非接触变体相比，这种差异可能会导致非标准形式的使用增加。同一种语言的。有助于在大规模分析中理解和描述非标准语言使用，系统地调查跨教育水平、双语概况、代际和地点的语言使用。通过检查此类非标准语言使用，本研究提供了重要的实证数据。先前对接触环境中非标准语言使用的观察传统上将非标准形式与较低的教育水平联系起来，该项目通过调查年龄、母语来检验这一说法。语言、学校教育语言、教育水平以及语言对于非标准形式，演讲者进行 45 分钟的半结构化社会语言学访谈，在一项实验任务中检查参与者对非标准调查协议的隐含态度，同时他们听到标准和非标准形式。明确的语言态度是通过参与者对关于他们对非标准语言使用的态度的两个明确问题的回答来衡量的。从这项研究中获得的数据提供了丰富的数据集，其中包含影响社会和语言因素的全面信息。非标准语言变体，以及这项研究有助于更好地理解接触场景中语言变化的机制。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。