ChatGPT, Google Translate and DeepL Translation Comparative Analysis

Authors

  • Svergunov Danila Sergeevich Student of NLC Buketov Karaganda National Research University, Kazakhstan
  • Jangeldinova Saltanat Bolatovna Senior Professor in NLC Buketov Karaganda National Research University, Kazakhstan

Keywords:

translation models, machine translation, Google Translate, artificial intelligence, translation

Abstract

The article studies the quality of translation made by ChatGPT, Google Translate and DeepL. Our goal is to determine the relevance of the topic, pros and cons of using AI translation and models as translation tools, detect the risks for translators and answer the question - could we trust machine translation completely now or should we always keep it in check?

Published

2026-05-24

How to Cite

Svergunov Danila Sergeevich, & Jangeldinova Saltanat Bolatovna. (2026). ChatGPT, Google Translate and DeepL Translation Comparative Analysis. Reviews of Modern Science, (13). Retrieved from https://ojs.publisher.agency/index.php/RMS/article/view/8757

Issue

No. 13 (2026): Reviews of Modern Science

Section

Philological Sciences

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.