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.

对于转录和翻译的语言数据，数据格式和注释标准差异很大。这意味着数据不能轻易地被挖掘用于假设检验和类型发现。北德克萨斯大学将举办一次语言专家会议，与基因上密切相关的语言合作，探索建立关于跨线性词汇文本（IGT）共享注释标准的共识。IGT是文档项目的流行输出，并通过词素、单词和子句翻译来呈现语言数据。这种数据格式是发现和说明语法描述的强大方法。会议的三个部分将包括专家的对话：第1部分：创建线间注释文本（IGT）的标准和程序第2部分：注释相关语言语言概念的广义本体论第3部分：数字和遗产档案材料中语言概念的元数据咨询委员会和与会者的专家建议将记录在一份白色文件中。这份白色文件将侧重于吸取的经验教训，包括：跨语料库比较对语法分析的作用，通过改进元数据重新使用存档数据，以及将遗留数据的信息纳入当前的调查，以改进分析和结果。录音，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。其中一名研究生还将获得语法、语言文档、语言注释和语言归档等多方面的知识。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的知识进行评估而被认为值得支持影响审查标准。