Abstract
The article presents the results of the analysis on neologisms denoting professions (including colloquial and/or representing collocations) obtained through a survey of native speakers of the Russian language, using the method of distributive semantics (RusVectores service) and the language model with artificial intelligence ChatGPT. All three methods for identifying neologisms – the names of professions – were evaluated and compared, both in quantitative terms and in terms of content. The most effective was a survey of native speakers of the Russian language; the least effective was the method of distributive semantics (RusVectores service). Extralinguistic factors in the emergence of new job titles are identified: the appearance of new and intensive development of existing professional fields, their diversification, the influence of another language on professional usage, the need for prestigious modern titles of existing jobs. An active addition of neologisms to a group of vocabulary in the areas of creating and disseminating information and helping practices has been revealed, where the blurring of the boundaries of existing jobs leads to an expansion of the semantic scope of existing job titles, and a large number of designations for narrow specialists appear. For titles of jobs not related to these areas, new synonyms appear less actively. The area associated with information processing is characterized by semantic shifts in the titles already used in the language. Despite the fact that neologisms-borrowings are common in the sphere of profession nomination, they are often replaced by original synonyms, or such synonyms successfully compete with borrowings.
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