Statistical and linguistic methods for the recognition of automatically generated texts
| creativework.keywords | Ukrainian language, text generation, computational linguistics, neural networks | |
| dc.contributor.author | Lukashevskyj Arsenij | |
| dc.contributor.author | Khairova Nina | |
| dc.date.accessioned | 2022-10-21T09:07:22Z | |
| dc.date.available | 2022-10-21T09:07:22Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | This article is devoted to a detailed study of methods for determining machine-generated texts, a review of linguistic models trained on the publicly available sources, and a research of the problems associated with this. | |
| dc.identifier.citation | Lukashevskyj A. Statistical and linguistic methods for the recognition of automatically generated texts / Arsenij Lukashevskyj, Nina Khairova // Computational Linguistics and Intelligent Systems. – Lviv, 2022. – Volume 2 : Proceedings of the 6nd International conference, COLINS 2022. Workshop, Gliwice, Poland, May 12–13, 2022. – P. 225–228. – URL: https://colins.in.ua/wp-content/uploads/2022/07/VolumeII_Colins2022.pdf (дата звернення: 21.10.2022). – Bibliography: 10 titles. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/56978 | |
| dc.language.iso | en | |
| dc.publisher | онлайн | |
| dc.title | Statistical and linguistic methods for the recognition of automatically generated texts | |
| dc.type | Article |