Computational Linguistics Tools in Mapping Emotional Dislocation of Translated Fiction. - Ivan Bekhta; Nataliia Hrytsiv (COLINS, 2021)

Marking up Dramatic Text: a Case Study of "7 Stories" by Morris Panych. - Ivan Bekhta; Nataliia Hrytsiv; Anastasiia Matviychuk (COLINS, 2021)

Quantitative Characteristics of Lexical-Semantic Groups Representing Weather in Weather News Stories (Based on British Online Press). - Nataliya Bondarchuk; Ivan Bekhta (COLINS, 2021)

Processing Modality of British Modernist and Postmodernist Fiction. - Ivan Bekhta; Nataliya Bondarchuk; Oksana Marchuk; Vasyl Bialyk (CSIT (2), 2021)

Linhvometriia of inversion and detachment in Ray Bradbury's Dandelion Wine. - Marta Karp; Nataliia Kunanets; Ivan Bekhta; Uliana Yurlova (CSIT (2), 2021)

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

Digitally Lexicographized Neologisms of Douglas Coupland's Novel "Generation X": Software for Bilingual Electronic Dictionary. - Nataliia Hrytsiv; Ivan Bekhta; Bohdana Buta; Mariya Tkachivska; Vasyl Byalyk (COLINS, 2022)

TEI Advances for Concordance Compiling: a case study of Erich Fromm's novel "The Art of Loving". - Nataliia Hrytsiv; Ivan Bekhta; Nataliia Sofiianyk; Tetiana Shestakevych; Vasyl Byalyk (COLINS, 2022)

Sylvia Plath's I felt-Narrative Label of The Bell Jar in Ukrainian Translation: Tagging Textness Features. - Nataliia Hrytsiv; Ivan Bekhta; Mariya Tkachivska; Vasyl Byalyk (COLINS, 2022)

Hyperbole in To Kill a Mocking Bird by Harper Lee: Reduction Data vs Representing Data vs Verification. - Marta Karp; Nataliia Kunanets; Ivan Bekhta (COLINS, 2022)

Statistical Particulars of the Lexical-Thematic Group Evil in J. K. Rowling's Harry Potter. - Oksana Marchuk; Ivan Bekhta; Nataliya Bondarchuk (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)

Computer Processing of Verba Sentiendi in Doris Lessing's Fiction (Using R). - Ivan Bekhta (CSIT, 2023)

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

Quantifying verbal semantics: a computer-based discourse analysis of verba sentiendi vs. verba dicendi in Angela Carter's fiction. - Ivan Bekhta (COLINS (4), 2024)

Automatic Detection of Key Verbs in Literary Texts. - Iryna Dilai; Marianna P. Dilai; Ivan Bekhta; Ihor Byk; Olha Oleksyn (CSIT, 2024)