Abstract The Russian language—like any other language in the world—consists of the two different linguistic practices: an everyday speech and literary texts. Each of these practices is specific: they are lexically and grammatically different. The using of the direct transcribed speech in literary texts is impossible: the literary editing is required. This work focuses on the translating speech into literary text in automatic mode; we work with the neural network language model of the GPT 3.5—GPT 4. Our tool has a range of perspective outcomes. Here and now, the authors are able to create a book based on the recordings of their lectures and talks. The tool is easy to use: its potential will be demonstrated during the presentation; the audience will have all chances to test this technology.
Keywords: neural network technologies, literary text, live speech