Victoria Vysotska, Oksana Markiv, Sofiia Teslia, Yeva Romanova, Inesa Pihulechko. Correlation Analysis of Text Author Identification Results Based on N-Grams Frequency Distribution in Ukrainian Scientific and Technical Articles. In Vasyl Lytvyn, Natalia Sharonova, Izabela Jonek-Kowalska, Agnieszka Kowalska-Styczen, Victoria Vysotska, Yevhen Kupriianov, Olga Kanishcheva, Olga Cherednichenko, Thierry Hamon, Natalia Grabar, editors, Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, Gliwice, Poland, May 12-13, 2022. Volume 3171 of CEUR Workshop Proceedings, pages 277-314, CEUR-WS.org, 2022. [doi]
@inproceedings{VysotskaMTRP22, title = {Correlation Analysis of Text Author Identification Results Based on N-Grams Frequency Distribution in Ukrainian Scientific and Technical Articles}, author = {Victoria Vysotska and Oksana Markiv and Sofiia Teslia and Yeva Romanova and Inesa Pihulechko}, year = {2022}, url = {http://ceur-ws.org/Vol-3171/paper25.pdf}, researchr = {https://researchr.org/publication/VysotskaMTRP22}, cites = {0}, citedby = {0}, pages = {277-314}, booktitle = {Proceedings of the 6th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2022). Volume I: Main Conference, Gliwice, Poland, May 12-13, 2022}, editor = {Vasyl Lytvyn and Natalia Sharonova and Izabela Jonek-Kowalska and Agnieszka Kowalska-Styczen and Victoria Vysotska and Yevhen Kupriianov and Olga Kanishcheva and Olga Cherednichenko and Thierry Hamon and Natalia Grabar}, volume = {3171}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, }