Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis

Hanna Sytar; Maria Shvedova; Olha Kanishcheva

Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis

Hanna Sytar, Maria Shvedova, Olha Kanishcheva

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Abstract

This paper presents the development of a corpus of annotated multiword expressions (MWEs) for Ukrainian. The resource covers four major categories of MWEs: verbal, nominal, adjectival/adverbial, and functional. We describe the methodology used for data selection, the annotation scheme, and the procedures employed during annotation. In addition, the paper discusses some specific types of MWE constructions, illustrating their usage with numerous examples and addressing complex and borderline cases. The resulting corpus is an important resource for linguistic studies and NLP tasks involving MWEs, and is publicly accessible https://gitlab.com/parseme/sharedtask-data/-/tree/master/2.0?ref_type=heads.

Anthology ID:: 2026.mwe-1.4
Volume:: Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026)
Month:: March
Year:: 2026
Address:: Rabat, Marocco
Editors:: Atul Kr. Ojha, Verginica Barbu Mititelu, Mathieu Constant, Ivelina Stoyanova, A. Seza Doğruöz, Alexandre Rademaker
Venues:: MWE | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 38–47
Language:
URL:: https://aclanthology.org/2026.mwe-1.4/
DOI:
Bibkey:
Cite (ACL):: Hanna Sytar, Maria Shvedova, and Olha Kanishcheva. 2026. Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis. In Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026), pages 38–47, Rabat, Marocco. Association for Computational Linguistics.
Cite (Informal):: Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis (Sytar et al., MWE 2026)
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PDF:: https://aclanthology.org/2026.mwe-1.4.pdf

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@inproceedings{sytar-etal-2026-ukrainian,
    title = "{U}krainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis",
    author = "Sytar, Hanna  and
      Shvedova, Maria  and
      Kanishcheva, Olha",
    editor = {Ojha, Atul Kr.  and
      Mititelu, Verginica Barbu  and
      Constant, Mathieu  and
      Stoyanova, Ivelina  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Rademaker, Alexandre},
    booktitle = "Proceedings of the 22nd Workshop on Multiword Expressions ({MWE} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Marocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.mwe-1.4/",
    pages = "38--47",
    ISBN = "979-8-89176-363-0",
    abstract = "This paper presents the development of a corpus of annotated multiword expressions (MWEs) for Ukrainian. The resource covers four major categories of MWEs: verbal, nominal, adjectival/adverbial, and functional. We describe the methodology used for data selection, the annotation scheme, and the procedures employed during annotation. In addition, the paper discusses some specific types of MWE constructions, illustrating their usage with numerous examples and addressing complex and borderline cases. The resulting corpus is an important resource for linguistic studies and NLP tasks involving MWEs, and is publicly accessible https://gitlab.com/parseme/sharedtask-data/-/tree/master/2.0?ref{\_}type=heads."
}

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%0 Conference Proceedings
%T Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis
%A Sytar, Hanna
%A Shvedova, Maria
%A Kanishcheva, Olha
%Y Ojha, Atul Kr.
%Y Mititelu, Verginica Barbu
%Y Constant, Mathieu
%Y Stoyanova, Ivelina
%Y Doğruöz, A. Seza
%Y Rademaker, Alexandre
%S Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Marocco
%@ 979-8-89176-363-0
%F sytar-etal-2026-ukrainian
%X This paper presents the development of a corpus of annotated multiword expressions (MWEs) for Ukrainian. The resource covers four major categories of MWEs: verbal, nominal, adjectival/adverbial, and functional. We describe the methodology used for data selection, the annotation scheme, and the procedures employed during annotation. In addition, the paper discusses some specific types of MWE constructions, illustrating their usage with numerous examples and addressing complex and borderline cases. The resulting corpus is an important resource for linguistic studies and NLP tasks involving MWEs, and is publicly accessible https://gitlab.com/parseme/sharedtask-data/-/tree/master/2.0?ref_type=heads.
%U https://aclanthology.org/2026.mwe-1.4/
%P 38-47

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Markdown (Informal)

[Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis](https://aclanthology.org/2026.mwe-1.4/) (Sytar et al., MWE 2026)

Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis (Sytar et al., MWE 2026)

ACL

Hanna Sytar, Maria Shvedova, and Olha Kanishcheva. 2026. Ukrainian Multiword Expressions Corpus: Creation, Annotation, and Linguistic Analysis. In Proceedings of the 22nd Workshop on Multiword Expressions (MWE 2026), pages 38–47, Rabat, Marocco. Association for Computational Linguistics.