A Comparative Analysis of Technical Text Translations Using Microsoft Translator, Google Cloud AI, DeepL, and ChatGPT

Authors

  • Serik Damira Rysbaevna Karaganda University named after Academician E.A. Buketov, Karaganda

Abstract

This scientific article addresses the issue of translation quality of technical texts from English to Russian using modern machine translation tools: Microsoft Translator, Google Cloud AI, DeepL, and ChatGPT. The purpose of the study is to identify the strengths and weaknesses of each tool and to analyze their grammatical, lexical, stylistic, and contextual accuracy. The analysis results will help determine the most effective tool for translating professional technical documentation

Published

2025-05-12

How to Cite

Serik Damira Rysbaevna. (2025). A Comparative Analysis of Technical Text Translations Using Microsoft Translator, Google Cloud AI, DeepL, and ChatGPT. Interdisciplinary Science Studies, (9). Retrieved from https://ojs.scipub.de/index.php/ISS/article/view/6086

Issue

Section

Philological Sciences