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- W4367011723 abstract "Russian corpus-trained GPT-2 neural network is analyzed in the article; the material of continuation of two phrases of classical Russian literature, examples of both good local coherence and absurdity are studied. The article presents a discursive analysis of texts (frame, narrator) and error analysis (pronouns, speech situation, etc) in comparison with human errors, as well as artistic techniques and comic effect. The analysis shows that the texts demonstrate the “author's” “understanding” of a cultural-specific frame — this phenomenon is related to the problem of common sense. High degree of connectivity in the network-generated texts necessitated a close attention to the mechanisms that ensure the formation of meaning." @default.
- W4367011723 created "2023-04-27" @default.
- W4367011723 creator A5062273644 @default.
- W4367011723 date "2023-01-01" @default.
- W4367011723 modified "2023-10-05" @default.
- W4367011723 title "DISCURSIVE ANALYSIS OF NEURAL NETWORK TEXTS PORFIRYEVICH" @default.
- W4367011723 doi "https://doi.org/10.37892/978-5-907498-47-1-15" @default.
- W4367011723 hasPublicationYear "2023" @default.
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