A database for an understudied language: A dictionary, grammar, and texts with sound

待研究语言的数据库：字典、语法和有声文本

• 批准号: 1953242
• 负责人: James Rementer
• 金额: $ 3.33万
• 依托单位: The Delaware Tribe
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2021-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953242&HistoricalAwards=false
• 关键词: database; understudied; language; dictionary; grammar

The goals of this project are two-fold. First, the project focuses on further developing the infrastructure of an on-line database that includes a dictionary, a grammar, and texts of an endangered language. A dictionary, a grammar, and texts are considered to provide the basic material required for research on a language, and themselves involve considerable research. Second, the project further develops the content of the database, adding previously inaccessible materials, and in particular sound materials, to the database. This database will serve as a model for other on-line dictionaries, grammars, and texts. It will also be invaluable to those working on looking to understand the internal structure of the language family, and how the languages have developed over time, and the recordings included in it allow for the study of actual speech, an area of great importance in linguistics today. As a language from a family with complex verb structure, the database also provides rich material for its study, particularly in comparison with related languages, to understand how such complexities change over time and space. It also aids in the preservation of and access to materials that are irreplaceable today.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.

该项目的目标有两个。首先，该项目的重点是进一步开发在线数据库的基础设施，其中包括字典、语法和濒危语言的文本。字典、语法和文本被认为提供了语言研究所需的基本材料，它们本身就涉及大量的研究。其次，该项目进一步开发了数据库的内容，将以前无法访问的材料，特别是声音材料添加到数据库中。该数据库将作为其他在线词典、语法和文本的模型。对于那些致力于了解语言家族的内部结构以及语言如何随着时间的推移而发展的人来说，它也将是非常宝贵的，并且其中包含的录音可以用于研究实际语音，这是当今语言学中非常重要的领域。作为来自动词结构复杂的语言家族的语言，该数据库还为其研究提供了丰富的材料，特别是与相关语言的比较，以了解这种复杂性如何随时间和空间变化。它还有助于保存和获取当今不可替代的材料。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。