Corpus-based Study of Engineering Terms: Linguistic and Pedagogical Implications

G Nurmatova

doi:10.33619/2414-2948/48/51

Abstract

The article discusses the corpus study of engineering terms for linguistic research — the extraction and classification of terms identified by the frequency of words in the corpus and pedagogical implications — the application of effective results to the teaching and learning of engineering terms in engineering universities of Uzbekistan. In the course of the study, computer programs AntGorGen were used to create the target corpus and AntConc for analyzing the lexis of research articles. This article offers further corpus-based studies with consideration of the acquiring and comprehension of engineering terms for developing engineering students’ research skills.

Highlights

IntroductionIn the era of the progress of science and technology, we are increasingly confronted with the words of different industries and spheres, gradually appropriating and using them in professional, but even in common speech
In the modern world, in the era of the progress of science and technology, we are increasingly confronted with the words of different industries and spheres, gradually appropriating and using them in professional, but even in common speech. These words may refer to different spheres, among which engineering terminology is the most progressively developing
Using the AntCorGen and AntConc2 software program, the most frequently used terms are identified, this in its turn will be useful for scholarly writing and developing comprehension skills of ESP students, that are both will serve for career prospects and eventually will assist in developing materials and syllabi for ESP classroom

Summary

Introduction

In the era of the progress of science and technology, we are increasingly confronted with the words of different industries and spheres, gradually appropriating and using them in professional, but even in common speech. These words may refer to different spheres, among which engineering terminology is the most progressively developing. According to Lawrence's corpus analysis, the percentages of linguists' studies in Asian ESP, ESPJ, ESPJ, ESP World (included in SCOPUS data base) journals in engineering and engineering related fields has been given less attention in comparison with other fields, such as Business or Medicine [2]. The advantageous of corpora is, it allows analyzing massive texts and only via corpus-based studies assists in exploring big number of selected articles as well as maintains balance and representativeness of a corpora [3]

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