Morphologically Complex Data Collection and Analysis for Improving Lexicographic Models

用于改进词典编纂模型的形态复杂数据收集和分析

• 批准号: 2125197
• 负责人: Keri Eggleston
• 金额: $ 10.5万
• 依托单位: University of Alaska Fairbanks Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125197&HistoricalAwards=false
• 关键词: Morphologically; Complex; Data; Collection; Analysis

Analytic dictionaries provide information on the possible and impossible sound combinations and words and clause structures found in individual languages. Linguists and cognitive scientists mine analytic dictionaries to uncover knowledge about word meaning and cultural significance of places, things, and actions and how these are referred to by speakers. These dictionaries are also useful for discovery of universally predictable or newly discovered grammatical patterns. This project collects data to create an analytic dictionary of a language with unusually complex verb morphology. The original fieldwork conducted with elder birth speakers for this project adds crucial information on the structure of the language, which in turn informs various subfields of linguistics such as historical linguistics, comparative linguistics, morphology, and syntax. This project supports education and diversity, engaging the Native American elders, teachers, and learners in creating a high-quality, comprehensive, and enduring language resource. The project expands current lexicographic models to deal with complex verb morphology. The project reviews existing lexical databases to locate gaps in entries and analyzes and fills gaps through information collected via interviews of elder speakers of endangered languages. These elders hold key pieces of lexical and grammatical knowledge that have not been documented elsewhere. The investigator adds this newly collected information to the existing in a data format that is easily revised and augmented as new data becomes available. Research conducted under this project implements a language documentation method that ensures that current and future learners and researchers have the opportunity to access newly documented lexical items, which provide the necessary data for the development of scientific language materials. These materials can be used by the nonacademic community for language and culture revitalization.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.

分析词典提供了关于可能的和不可能的声音组合以及在个别语言中发现的单词和子句结构的信息。 语言学家和认知科学家挖掘分析词典，以揭示有关地方，事物和行为的词义和文化意义以及说话者如何提及这些的知识。 这些词典也有助于发现普遍可预测的或新发现的语法模式。 该项目收集数据，以创建一个具有异常复杂动词形态的语言的分析词典。 为这个项目与年长的出生说话者进行的原始实地调查增加了关于语言结构的重要信息，这反过来又为语言学的各个子领域提供了信息，如历史语言学，比较语言学，形态学和句法。该项目支持教育和多样性，让美国原住民长老，教师和学习者参与创建高质量，全面和持久的语言资源。该项目扩展了当前的词典模型，以处理复杂的动词形态。 该项目审查了现有词汇数据库，以找出条目中的空白，并通过采访讲濒危语言的老年人收集的信息进行分析和填补空白。 这些老人掌握着其他地方没有记载的关键词汇和语法知识。 研究者将新收集的信息添加到现有的数据格式中，该数据格式易于在新数据可用时进行修订和扩充。 在该项目下进行的研究采用了一种语言文件编制方法，确保当前和未来的学习者和研究人员有机会获得新记录的词汇项目，为科学语言材料的开发提供必要的数据。 这些材料可以被非学术团体用于语言和文化的复兴。这个奖项反映了NSF的法定使命，并被认为是值得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的支持。