Maria Shvedova


2024

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Creating Parallel Corpora for Ukrainian: A German-Ukrainian Parallel Corpus (ParaRook||DE-UK)
Maria Shvedova | Arsenii Lukashevskyi
Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024

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.

2023

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The Parliamentary Code-Switching Corpus: Bilingualism in the Ukrainian Parliament in the 1990s-2020s
Olha Kanishcheva | Tetiana Kovalova | Maria Shvedova | Ruprecht von Waldenfels
Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

We describe a Ukrainian-Russian code-switching corpus of Ukrainian Parliamentary Session Transcripts. The corpus includes speeches entirely in Ukrainian, Russian, or various types of mixed speech and allows us to see how speakers switch between these languages depending on the communicative situation. The paper describes the process of creating this corpus from the official multilingual transcripts using automatic language detecting and publicly available metadata on the speakers. On this basis, we consider possible reasons for the change in the number of Ukrainian speakers in the parliament and present the most common patterns of bilingual Ukrainian and Russian code-switching in parliamentarians’ speeches.