A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages

Shailashree K. Sheshadri, Deepa Gupta, Biswajit Paul, J. Siva Bhavani

Open source

DOI
10.1109/access.2025.3570699
Published
2025
Container
IEEE Access
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/access.2025.3570699,
  title = {A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages},
  author = {Shailashree K. Sheshadri and Deepa Gupta and Biswajit Paul and J. Siva Bhavani},
  year = {2025},
  journal = {IEEE Access},
  doi = {10.1109/access.2025.3570699},
  url = {https://doi.org/10.1109/access.2025.3570699}
}

RIS

TY  - JOUR
TI  - A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages
AU  - Shailashree K. Sheshadri
AU  - Deepa Gupta
AU  - Biswajit Paul
AU  - J. Siva Bhavani
PY  - 2025
JO  - IEEE Access
DO  - 10.1109/access.2025.3570699
UR  - https://doi.org/10.1109/access.2025.3570699
ER  - 

APA

Sheshadri, S. K., Gupta, D., Paul, B., & Bhavani, J. S. (2025). A Novel Approach to Continual Knowledge Transfer in Multilingual Neural Machine Translation Using Autoregressive and Non-Autoregressive Models for Indic Languages. IEEE Access. https://doi.org/10.1109/access.2025.3570699

Source records