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。这意味着这些数据不容易被挖掘出来用于假设检验和类型学发现。北得克萨斯大学将主办一次语言专家会议，研究与遗传密切相关的语言，以探索在行间注释文本(IGT)的共同注释标准上建立共识。IGT是文档项目的流行输出，并通过语素、单词和从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一种强大方式。会议的三场会议将由专家进行对话，内容包括：第一场会议：创建跨行注释文本的标准和程序；第二场会议：注释相关语言的语言概念的通用本体论；第三场会议：数字和传统档案材料中语言概念的元数据；咨询委员会和与会者提出的专家建议将载入一份白皮书。白皮书将侧重于吸取的经验教训，包括：跨语料库比较在语法分析中的作用，通过改进元数据重新利用存档数据，以及将遗留数据的信息纳入目前的调查，以改进分析和结果。录音、演讲和讨论将在北得克萨斯大学数字图书馆存档。两名研究生将获得学术专业精神方面的经验。其中一名研究生还将获得语法、语言文献、语言注释和语言归档的许多方面的知识。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.