ARTIFICIAL NEURAL NETWORKS AS A SPECIAL TYPE OF DISTANT READING

The article deals with the generation of poetic texts with artificial neural networks. The author gives a brief history of the method. The article describes some important properties of the training sample. For example the sample needs to be large enough. The article gives some examples of Russian poetic texts, generated by a neural network. The texts generated by the model trained on Russian hexameters, on poems of a modern poet Natalia Azarova and on texts of classic Russian bard Vladimir Vysotsky. The analysis showed that the neural network reproduces the style and metrical features of the original sample. The style of the lyrical texts reproduced better than any other type of text. A neural network is practically unable to reproduce the features of narrative works. In the cultural and intellectual context, the texts of the neural network can be understood as deconstruction (Derrida) and reassembling (Latour).