Collaborative Proposal: StressTyp2: A Database for Word Accentual Patterns in the World's Languages

合作提案：StressTyp2：世界语言中单词重音模式的数据库

• 批准号: 1123692
• 负责人: Jeffrey Heinz
• 金额: $ 12.84万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1123692&HistoricalAwards=false
• 关键词: Collaborative; Proposal; StressTyp2; Database; Word

Words and phrases in many languages exhibit distinct rhythmic patterns. These rhythmic patterns are often referred to as "stress patterns" or "accent patterns." Over the past several decades, both field linguists and theoretical linguists have endeavored to understand the nature of these patterns in individual languages and the range of variation that exists across languages. The goal of this project is the construction and dissemination of a typological database, to be called StressTyp2 (ST2), which documents and organizes these patterns in the world's languages.The PIs have three specific tasks. First, they will merge the information in existing databases of stress and accent patterns. Second, they will improve, verify and enrich the dataset in a variety of ways and develop a web-based interface that makes the information in ST2 available to researchers and citizens around the world, and which meets or exceeds professional and scientific standards. The third goal of this project is to adopt (and, where necessary, establish) best practices for the collection, organization, dissemination and presentation of typological data pertaining to sound patterns in natural language.There are many issues in constructing cross-linguistic data resources. The PIs will focus on the complex logical structure involved in a relational database which tracks dozens of linguistic properties, developing standards for assessing the accuracy or confidence of linguistic descriptions of lesser studied languages, and statistical sampling techniques for evaluating how representative the information in ST2 is of the world's languages and particular language families.This research will fund two public workshops on word accent systems with domestic and international experts, which will both educate and inspire attendees, which will include professors, graduate students and undergraduate students. Additionally, undergraduate and graduate students will receive significant amounts of training as research assistants in the collection, verification, dissemination and analysis of linguistic data.

许多语言中的单词和短语都有独特的节奏模式。这些节奏模式通常被称为“重音模式”或“重音模式”。在过去的几十年里，现场语言学家和理论语言学家都在努力了解这些模式在个别语言中的本质以及不同语言之间存在的变化范围。这个项目的目标是建立和传播一个名为StressTyp2 （ST2）的类型学数据库，以世界语言记录和组织这些模式。pi有三个具体任务。首先，他们将合并现有重音和重音模式数据库中的信息。其次，他们将以各种方式改进、验证和丰富数据集，并开发一个基于网络的界面，使ST2中的信息可供世界各地的研究人员和公民使用，并达到或超过专业和科学标准。该项目的第三个目标是采用（并在必要时建立）收集、组织、传播和表示与自然语言中声音模式有关的类型学数据的最佳实践。跨语言数据资源的构建存在许多问题。pi将重点关注关系数据库中涉及的复杂逻辑结构，该数据库跟踪数十种语言特性，制定评估较少研究语言的语言描述的准确性或可信度的标准，以及评估ST2中信息对世界语言和特定语言家族的代表性的统计抽样技术。这项研究将资助两场由国内外专家参加的关于单词重音系统的公开研讨会，以教育和激励包括教授、研究生和本科生在内的与会者。此外，本科生和研究生将接受大量的培训，作为语言学数据的收集、验证、传播和分析的研究助理。