Student travel support to the Fourth Universal Dependencies Workshop (2020)

这一学生旅行支助项目的目标是通过支持学生参加第四次普遍依赖关系讲习班来增强其多样性。研讨会将与第28届国际计算语言学会议同时举行，该会议是全球最大的计算语言学会议之一。通过在这样的背景下参加研讨会，学生们获得了在各机构之间建立联系和建立联系的绝佳机会。他们还通过展示自己的作品获得了曝光率。这种经验对来自较小机构的研究人员特别有价值，因为可用于旅行的资金较少。通用依存关系是人类语言的形态句法注释框架，迄今已用于创建90种语言的树库。该框架非常适合作为以支持自然语言处理、计算机应用程序以及更广泛的语言学研究的方式对不同类型的语言进行跨语言一致注释的基础。讲习班的目标之一是涵盖更多低资源语文，从而扩大普遍从属语料库中所代表的语文。该项目旨在吸引致力于这类语言的学生，他们的工作将使Universal Dependency社区受益。研讨会鼓励合作研究的精神，并为对该领域广泛的跨语言视角感兴趣的计算和非计算语言学家建立一个支持性的环境。该奖项反映了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。

The goal of this student travel support project is to enhance the diversity of the fourth Universal Dependencies workshop by supporting students to participate in it. The workshop will be held in conjunction with the 28th International Conference on Computational Linguistics, one of the largest computational linguistics conferences worldwide. By participating in the workshop in such a context, the students are offered an excellent opportunity for networking and building connections across institutions. They are also gaining exposure by presenting their work. Such experience is particularly valuable for researchers from smaller institutions, with less funding available for travel.Universal Dependencies is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for 90 languages. The framework is well suited as the basis for cross-linguistically consistent annotation of typologically diverse languages in a way that supports natural language processing computer applications as well as broader linguistic studies. One of the goals of the workshop is to cover more low-resource languages, thereby expanding the languages represented in the Universal Dependencies corpora. This project aims at attracting students who are working on such languages and whose work would benefit the Universal Dependencies community. The workshop encourages a spirit of collaborative research and builds a supportive environment for computational and non-computational linguists interested in a broad, cross-lingual perspective on the field.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.