Conference on Standards for Interlinear Glossed Texts in Related Languages

转录和翻译的语言数据的数据格式和注释标准差别很大。这意味着数据不能很容易地用于假设检验和类型学发现。北德克萨斯大学将主办一场语言学专家会议，这些专家研究遗传上密切相关的语言，以探讨建立关于行间擦亮文本（IGT）共享注释标准的共识。IGT是文档项目的一种流行输出，它用语素、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语法描述的有力方法。会议将分三场会议进行专家对话：第一场：创建行间注释文本（IGT）的标准和程序；第二场：为相关语言注释语言概念的广义本体；第三场：数字和遗留档案材料中语言概念的元数据。顾问委员会和会议参与者的专家建议将记录在白皮书中。白皮书将重点介绍学到的经验教训，包括：跨语料库比较对语法分析的作用，通过改进元数据重用归档数据，以及将遗留数据信息整合到当前调查中以改进分析和结果。录音、演讲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。一名研究生还将获得语法、语言文档、语言注释和语言存档的许多方面的知识。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.