Abstract:
The article proposes a method of extracting English- and Russian-language nomenclature names from scientific and technical texts on the basis of their structural models. It is noted that nowadays a large number of approaches, methods and software tools for automatic processing of terminological units in natural language texts have been developed, but they do not take into account nomenclature names as a special class of special vocabulary. Their structural and semantic features are analyzed, and on the basis of the analysis models of English- and Russian-language nomenclature names are created. A method of automatic extraction of nomenclature names from English- and Russian-language scientific and technical texts is proposed. The results of the research can be used in the development of various systems of processing scientific and technical texts, markup of special corpuses, collection of linguistic material in the creation of terminological dictionaries and databases by taking into account a larger number of models of special vocabulary and the use of methods of processing scientific and technical texts in Russian and English.
Keywords:nomenclature names, multi-component term, term extraction, models of nomenclature names.
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