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.

转录和翻译的语言数据的数据格式和注释标准差异很大，这意味着无法轻松挖掘数据以进行假设检验和类型学发现。探索建立行间注释文本 (IGT) 共享注释标准的共识，IGT 是一种流行的文档项目输出，并通过语素、单词和子句翻译呈现语言数据。这种数据格式是发现和说明的强大方法。会议的三个分会场将进行专家对话：第 1 场：创建行间注释文本 (IGT) 的标准和程序第 2 场：用于注释相关语言的语言概念的通用本体第 3 场：元数据数字和遗留档案材料中的语言概念 顾问委员会和会议参与者的专家建议将记录在白皮书中 该白皮书将重点关注经验教训，包括：跨语料库比较对语法分析的力量、重用。通过改进元数据对存档数据进行整理，并将遗留数据调查信息纳入当前数据以改进分析、演示和讨论，两名研究生将在北德克萨斯大学数字图书馆存档。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许多方面的知识。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。