The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema. This paper presents the expansions and improvements made on several fronts over the last couple of years (since McCarthy et al. (2020)). Collaborative efforts by numerous linguists have added 67 new languages, including 30 endangered languages. We have implemented several improvements to the extraction pipeline to tackle some issues, e.g. missing gender and macron information. We have also amended the schema to use a hierarchical structure that is needed for morphological phenomena like multiple-argument agreement and case stacking, while adding some missing morphological features to make the schema more inclusive. In light of the last UniMorph release, we also augmented the database with morpheme segmentation for 16 languages. Lastly, this new release makes a push towards inclusion of derivational morphology in UniMorph by enriching the data and annotation schema with instances representing derivational processes from MorphyNet.
翻译:通用感官学(UniMorph)项目是一项协作努力,为数百种不同的世界语言提供了广泛覆盖的即时标准化形态变化表,该项目由两个主要方面组成:丰富的形态说明语言独立特征模型和以多种语言提供的数据注释的类别资源,实现了这种模式。本文介绍了过去几年来(自麦卡锡等人(202020年)以来)在若干战线上扩大和改进的情况。许多语言学家的合作努力增加了67种新语言,包括30种濒危语言。我们已对提取管道进行了若干改进,以解决一些问题,例如缺少性别和宏观信息。我们还修正了这种系统结构,以采用多种形态协议和案件堆放等形态现象所需的等级结构,同时增加了一些缺失的形态特征,使这种系统更具包容性。根据上一期《UnniMorph》的发行,我们还以16种语言的单面分割方式扩充了数据库。最后,通过将新版本的数据转换成《Unichompheme 》,将数据转换成《Unimophal》和《Oniversal》的进版。