Webliometric Indicators as Elements of the AI Technique of Estimation of the Language Teacher's Net Proficiency

The article deals with the issues related to the scientometric indexing of the net resources of the group of language teachers and scientists. A detailed accounting of all types of publications allows us to obtain initial information about the level of their Internet engagement. The analysis was carried out including a wide range of genres of publications, the structure of publications, the format and language of publications, the corpus of academic subjects, the language aspects of the publications under study, the composition of the authors of publications, based on their position. The authors' use of wide opportunities to present their developments on various Internet resources provides them with the opportunity to be detected by search systems based on artificial intelligence (AI) as well as Big Data techniques and to be most fully characterized by existing and prospective scientometric systems. © 2022 The authors and IOS Press.