This paper presents the historical newspaper collection of the General Regionally Annotated Corpus of Ukrainian (GRAC) and outlines its prospective integration into the PressMint infrastructure. The collection comprises 117 newspaper titles published before 1950, totaling 23.6 million tokens, and reflects the political fragmentation, regional variation, and orthographic diversity of Ukrainian-language press from the late nineteenth to mid-twentieth century. We describe the corpus composition, temporal and geographic distribution, and metadata architecture. Special attention is given to morphosyntactic annotation challenges arising from the old Western Ukrainian orthography (Zhelekhivka), as well as issues related to annotating historical texts using the rule-based TagText parser and neural UDPipe2 models. The paper compares GRAC’s vertical format and metadata system with the TEI-based PressMint standard, identifying technical and conceptual harmonization challenges. Integrating GRAC newspapers into PressMint will facilitate comparative research on language policy, regional standardization, and media discourse within a broader European context.

This paper presents a new Universal Dependencies (UD) treebank based on Ukrainian parliamentary transcripts, complementing the existing UD resources for Ukrainian. The corpus includes manually annotated texts from key historical sessions of the Verkhovna Rada, capturing not only official rhetoric but also features of colloquial spoken language. The annotation combines UDPipe2 and TagText parsers, with subsequent manual correction to ensure syntactic and morphological accuracy. A detailed comparison of tagsets and the disambiguation strategy employed by TagText is provided. To demonstrate the applicability of the resource, the study examines vocative and nominative case variation in direct address using a large-scale UD-annotated corpus of parliamentary texts.

Parallel corpora are currently a popular and vibrantly developing category of linguistic resources, used both in literature and translation studies, as well as in the field of NLP. For Ukrainian, though, there are still not enough significant parallel corpora compiled within a single roof project and made available to the research community. In this paper we present a newly developed resource, the German-Ukrainian Parallel Corpus — ParaRook||DE-UK, searchable online. We describe various issues related to its compilation, text selection, and annotation. The paper also features several examples of how the corpus can be used in linguistic research and translation studies. Using the experience of the German-Ukrainian parallel corpus, parallel corpora for other languages with Ukrainian can be developed.