Editor-in-chief

Prof. Paul Sudnik

Munich University of Applied Sciences, Germany

As the Editor-in-Chief of IJSSH, I invite you to contribute your scholarly work to our esteemed publication. The journal publishes papers which focus on the advanced researches in the field of all aspects of social science and humanity. I'll endeavour to make this journal grow better and hopefully it will become a recognized journal among researchers and scholars in related fields.

Home > Archive > 2026 > Volume 16, Number 2, 2026
IJSSH 2026 Vol.16(2): 99-103
doi: 10.18178/ijssh.2026.16.2.1285

Artificial Intelligence Translation: Technological Evolution, Challenges, and New Pathways for Human-Machine Collaboration

Boyang Liu *, and Huiying Yang
School of Foreign Languages, Northwestern Polytechnical University, Xi’an, China
Email: liuboyang@mail.nwpu.edu.cn (B.L.)
*Corresponding author

Manuscript submitted November 26, 2025; accepted March 11, 2026; published June 16, 2026

Abstract—With the advancement of computer technology, Artificial Intelligence (AI) translation has progressed from rule-based approaches into the era of Large Language Models (LLMs). This paper systematically reviews the evolution of AI translation technology, tracing its journey from Rule-Based Machine Translation (RBMT) and Statistical Machine Translation (SMT) to Neural Machine Translation (NMT). It analyzes the application advantages of these technologies while highlighting the challenges they face. Research indicates that the human-machine collaboration model, through pre-translation instructions and post-editing, effectively combines human intelligence with machine efficiency. This model reveals a future trend towards more intelligent and deeply integrated collaborative development in AI translation. It represents the optimal solution for balancing translation quality, efficiency, and cost, pointing the way forward for the translation industry and offering new perspectives for enhancing translators’ practical skills and professional competitiveness.

Keywords—artificial intelligence translation, pre-translation instructions, post-editing, human-machine collaboration

Cite: Boyang Liu and Huiying Yang, "Artificial Intelligence Translation: Technological Evolution, Challenges, and New Pathways for Human-Machine Collaboration," International Journal of Social Science and Humanity, vol. 16, no. 2, pp. 99-103, 2026.


Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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