Conference on Standards for Interlinear Glossed Texts in Related Languages

相关语言行间注释文本标准会议

• 批准号: 2015980
• 负责人: Xian Zhang
• 金额: $ 2.53万
• 依托单位: University of North Texas
• 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: 2020-08-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2015980&HistoricalAwards=false
• 关键词: Conference; Standards; Interlinear; Glossed; Texts

Data formats and annotation standards vary widely for transcribed and translated linguistic data. This means the data cannot be readily mined for hypothesis testing and typological discovery. The University of North Texas will host a meeting of linguistic experts working with genetically closely related languages to explore consensus building on shared annotation standards for Interlinear Glossed Texts (IGT). IGT is a popular output of documentation projects and present language data with morpheme, word, and clause translation. This data format is a powerful way to discover and illustrate grammatical description. Three sessions at the conference will feature experts’ conversation on: Session 1: Standards and procedures for the creation of Interlinear Gloss Texts (IGT) Session 2: A generalized ontology for annotating linguistic concepts for related languages Session 3: Metadata for linguistic concepts in digital and legacy archival materials Expert recommendations of an advisory board and conference participants will be documented in a white paper. The white paper will focus on lessons learned including: the power of cross corpora comparison for grammatical analysis, reuse of archived data through improved metadata, and incorporating information of legacy data into current investigations for improved analysis and results. Recordings, presentations, and discussion will be archived at the University of North Texas Digital Library. Two graduate students will gain experience in academic professionalism. One of the graduate students will also gain knowledge of many aspects of grammar, language documentation, language annotation, and language archiving.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.

数据格式和注释标准对于转录和翻译的语言数据差异很大。这意味着对于假设检验和类型学发现，数据不能容易挖掘。北德克萨斯大学将举办一场语言专家会议，与一般相关的语言合作，探讨基于与内部性封闭式文本（IGT）共享注释标准的共识。 IGT是文档项目的流行输出和具有词素，单词和子句翻译的目前语言数据。这种数据格式是发现和说明语法描述的有力方法。会议上的三个会议将在：会议1：创建中线性光泽文本（IGT）的标准和程序上进行特色：第2章：用于注释相关语言的语言概念的一般性本体论，第3节：元数据第3：元数据，用于数字和遗产概念的数字和遗产材料材料的专家咨询董事会和会议参与者的专家建议。白皮书将重点关注学习的教训，包括：跨语料库比较的语法分析的力量，通过改进的元数据对存档数据的重复使用，以及将旧数据的信息纳入当前研究中，以改善分析和结果。唱片，演示和讨论将在北德克萨斯大学数字图书馆存档。两名研究生将获得学术专业经验。其中一位研究生还将了解语法，语言文档，语言注释和语言归档的许多方面。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，被认为是通过评估来获得的支持。