A Comprehensive Survey on Transformer-Based Machine Translation: Identifying Research Gaps and Solutions for Large Language Models

We are proud to share that Prof. (Dr.) Debajyoty Banik, Director (Research & Publications) and Professor in the Department of Computer Science and Engineering at Anurag University, has published a high-impact research paper titled “A Comprehensive Survey on Transformer-Based Machine Translation: Identifying Research Gaps and Solutions for Large Language Models.”
The paper has been published in ACM Computing Surveys by ACM, a prestigious SCIE/Q1 journal with an Impact Factor of 28 and an H5-index of 184, reflecting its strong global research influence.
The study provides an in-depth survey of transformer-based machine translation techniques, analyzing current advancements and identifying key research gaps in large language models. It offers valuable insights into improving translation accuracy, efficiency, and scalability in modern AI systems.
Anurag University takes immense pride in the achievements of its students, faculty, and research scholars. Every individual success is a reflection of the collective commitment to excellence, innovation, and meaningful contribution that defines the institution’s academic culture.
Written By
By AU Media Team
More Stories You Might Like

Advancing Hexaferrite–Spinel Nanocomposite Research
Dr. M. Srinivasa Reddy, Professor & HoD, Department of Physics, has published a research paper in Next Materials on the comparative synthesis of hexaferrite–spinel nanocomposites, featured in a Q1 journal indexed in WoS, SCIE and Scopus.

Advancing Image Understanding Through Deep Learning
Ms. Palla Chamundeswari, Assistant Professor, Department of AIML, has published the book “Deep Learning Pathways for Image Understanding and Computer Vision Analytics”, contributing to knowledge in Deep Learning and Computer Vision.


