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: 1123661
• 负责人: Hendrikus van der Hulst
• 金额: $ 28.69万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1123661&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表现出不同的节奏模式。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，无论是领域语言学家还是理论语言学家，都致力于了解这些模式在个别语言中的性质以及跨语言存在的变化范围。该项目的目标是建立和传播一个类型学数据库，称为StressTyp2（ST2），该数据库以世界各种语言记录和组织这些模式。首先，他们将合并现有重音和口音模式数据库中的信息。第二，他们将以各种方式改进、核实和丰富数据集，并开发一个基于网络的界面，使世界各地的研究人员和公民都能获得第二次科学技术报告中的信息，并达到或超过专业和科学标准。本项目的第三个目标是采用（并在必要时建立）收集、组织、传播和介绍与自然语言语音模式有关的类型学数据的最佳做法。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属性，制定用于评估研究较少的语言的语言描述的准确性或置信度的标准，和统计抽样技术，用于评估ST2中的信息在世界语言和特定语系中的代表性。这项研究将资助两个关于单词重音系统的公共研讨会与国内和国际专家，这将教育和激励与会者，这将包括教授，研究生和本科生。此外，本科生和研究生将接受大量的培训，作为语言数据收集，验证，传播和分析方面的研究助理。