Keyword-based Study of Thematic Vocabulary in British Weather News. - Nataliya Bondarchuk; Ivan Bekhta; Oksana Melnychuk; Olha Matviienkiv (COLINS, 2022)

Quantitative Features of the Words Representing Nonverbal Behaviour in Ian McEwan's Fiction. - Oksana Melnychuk; Nataliya Bondarchuk; Ivan Bekhta; Olena Levchenko (COLINS, 2022)

Computational Actualization of Idioms: Authorial Corpus-based Idiomaticity of Contemporary British Fiction. - Ivan Bekhta; Nataliya Bondarchuk; Nataliia Hrytsiv; Olena Levchenko; Olha Matviienkiv; Oksana Melnychuk (CSIT, 2022)

Study of linking words in political speeches of Bill Clinton using Python. - Marta Karp; Nataliia Kunanets; Anna Burtnyk; Oksana Melnychuk; Ivan Bekhta; Iryna Shainer (CSIT, 2022)

The Quantitative Parameters in Computer-Assisted Approach: Author's Lexical Choices in the Novels by Martin Amis. - Oksana Melnychuk; Nataliya Bondarchuk; Ivan Bekhta; Olena Levchenko; Nadia Yesypenko; Nataliia Hrytsiv (CSIT, 2022)

Pearson Correlation Coefficient in Studying the Meaning of a Literary Text. - Oksana Melnychuk; Ivan Bekhta; Mariya Tkachivska (COLINS (2), 2023)

Automatic Extraction of Keywords from Literary Texts. - Iryna Dilai; Marianna P. Dilai; Ivan Bekhta; Oksana Melnychuk; Olesia Tatarovska; Olha Hrabovetska (CSIT, 2023)

The Quantitative Status of Negation Words in Colonial and Postcolonial English Novels. - Olesia Tatarovska; Oksana Melnychuk; Ihor Byk; Marta Karp; Iryna Dilai; Olha Hrabovetska (CSIT, 2023)

Computational approaches to semantic frame modeling: frequency and statistical analysis of nonverbal experience in war fiction. - Ivan Bekhta; Oksana Melnychuk; Iryna Dilai; Olesia Tatarovska (CLW-CoLInS, 2025)