The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages. The project releases annotated morphological data using a universal tagset, the UniMorph schema. Each inflected form is associated with a lemma, which typically carries its underlying lexical meaning, and a bundle of morphological features from our schema. Additional supporting data and tools are also released on a per-language basis when available. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland and is sponsored by the DARPA LORELEI program. This paper details advances made to the collection, annotation, and dissemination of project resources since the initial UniMorph release described at LREC 2016. lexical resources} }

该研究介绍了Universal Morphology UniMorph项目在收集、标注和发布语言复杂形态学数据和工具方面所取得的进展，旨在改善自然语言处理技术处理全球语言的能力，利用通用标记体系UniMorph，结合词源及词形态特征，使每个词的形态学信息都能得到充分表达和利用。

UniMorph 2.0: 通用形态学