We present in this work a new Universal Morphology dataset for Korean.
Previously, the Korean language has been underrepresented in the field of
morphological paradigms amongst hundreds of diverse world languages. Hence, we
propose this Universal Morphological paradigms for the Korean language that
preserve its distinct characteristics. For our K-UniMorph dataset, we outline
each grammatical criterion in detail for the verbal endings, clarify how to
extract inflected forms, and demonstrate how we generate the morphological
schemata. This dataset adopts morphological feature schema from Sylak-Glassman
et al. (2015) and Sylak-Glassman (2016) for the Korean language as we extract
inflected verb forms from the Sejong morphologically analyzed corpus that is
one of the largest annotated corpora for Korean. During the data creation, our
methodology also includes investigating the correctness of the conversion from
the Sejong corpus. Furthermore, we carry out the inflection task using three
different Korean word forms: letters, syllables and morphemes. Finally, we
discuss and describe future perspectives on Korean morphological paradigms and
the dataset.

我们为韩语提出了一份新的通用形态学数据集，名为 K-UniMorph，涉及韩语的形态学范例，包括动词结束的语法标准、提取屈折形式的方法和生成形态结构的过程，同时采用了来自 Sylak-Glassman（2015 年）和 Sylak-Glassman（2016 年）的形态特征模式。

K-UniMorph：韩国通用形态学及其特征模式

K-UniMorph: Korean Universal Morphology and its Feature Schema

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.

这篇论文介绍了近几年在 Universal Morphology 项目中对语言无关的特征模式和注释数据资源的扩展和改进，以及推动对派生形态学的纳入。

UniMorph 4.0: 通用形态学

UniMorph 4.0: Universal Morphology

The Universal Dependencies (UD) and Universal Morphology (UniMorph) projects
each present schemata for annotating the morphosyntactic details of language.
Each project also provides corpora of annotated text in many languages - UD at
the token level and UniMorph at the type level. As each corpus is built by
different annotators, language-specific decisions hinder the goal of universal
schemata. With compatibility of tags, each project's annotations could be used
to validate the other's. Additionally, the availability of both type- and
token-level resources would be a boon to tasks such as parsing and homograph
disambiguation. To ease this interoperability, we present a deterministic
mapping from Universal Dependencies v2 features into the UniMorph schema. We
validate our approach by lookup in the UniMorph corpora and find a
macro-average of 64.13% recall. We also note incompatibilities due to paucity
of data on either side. Finally, we present a critical evaluation of the
foundations, strengths, and weaknesses of the two annotation projects.

研究对比了 Universal Dependencies 和 Universal Morphology 计划，通过提出一种从 Universal Dependencies v2 特征映射到 UniMorph 结构的确定性映射，从而消除了两个项目之间的兼容性问题，并给出了两个注释项目的基础、优势和劣势的关键评估。