LEXICAL BORROWINGS AND NEOLOGISMS IN THE MINING INDUSTRY: THE IMPACT OF AUTOMATION AND ARTIFICIAL INTELLIGENCE

This study examines the evolution of mining terminology driven by the rapid integration of automation and artificial intelligence (AI) technologies. Through a corpus based and terminological analysis, it investigates lexical borrowings and neologisms, tracing their etymological origins, semantic shifts, and pragmatic functions within industrial discourse. The research highlights the interplay of globalization, technological innovation, and multilingual communication in reshaping mining lexicons, emphasizing the need for standardized terminological resources to enhance effective communication and education in global mining contexts. The findings underscore the sociolinguistic implications of these changes, particularly in multilingual settings influenced by Uzbek and Russian linguistic traditions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15496864
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

LEXICAL BORROWINGS AND NEOLOGISMS IN THE MINING INDUSTRY: THE IMPACT OF AUTOMATION AND ARTIFICIAL INTELLIGENCE

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

LEXICAL BORROWINGS AND NEOLOGISMS IN THE MINING INDUSTRY: THE IMPACT OF AUTOMATION AND ARTIFICIAL INTELLIGENCE

article en

Abstract

This study examines the evolution of mining terminology driven by the rapid integration of automation and artificial intelligence (AI) technologies. Through a corpus based and terminological analysis, it investigates lexical borrowings and neologisms, tracing their etymological origins, semantic shifts, and pragmatic functions within industrial discourse. The research highlights the interplay of globalization, technological innovation, and multilingual communication in reshaping mining lexicons, emphasizing the need for standardized terminological resources to enhance effective communication and education in global mining contexts. The findings underscore the sociolinguistic implications of these changes, particularly in multilingual settings influenced by Uzbek and Russian linguistic traditions.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Research Data Management Practices
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