Research Interests
- Neural Machine Translation: Building and evaluating translation systems for languages with limited supervision.
- Morphology-Aware NLP: Understanding how morphological structure can improve tokenization and model adaptation.
- Low-Resource and Ethnic Minority Languages: Developing inclusive language technologies for Vietnamese ethnic minority communities.
News
- [OCT 2026] Our paper Mind the Morphology: Morphology-Aware Tokenizer Adaptation under Constrained Fine-Tuning was accepted to SOICT 2026 and will appear in the Springer CCIS proceedings.
- [JAN 2026] Our paper Not All Data Augmentation Works: A Typology-Aware Study for Low-Resource Neural Machine Translation in Vietnamese Ethnic Minority Languages was accepted to the AAAI 2026 Workshop on Language Models for Under-Represented Communities (LM4UC).
Contact
Posts and Telecommunications Institute of Technology
nhantd [at] stu [dot] ptit [dot] edu [dot] vn
nhantd [at] rs [dot] gmail [dot] com
* denotes equal contribution.
2026
Mind the Morphology: Morphology-Aware Tokenizer Adaptation under Constrained Fine-Tuning
SOICT 2026 · Oral Presentation · Springer CCIS Proceedings
Nhan Tran, Hung To and Hai Nguyen Thi Tuyet
[
website] [
code]
Not All Data Augmentation Works: A Typology-Aware Study for Low-Resource Neural Machine Translation in Vietnamese Ethnic Minority Languages
AAAI 2026 Workshop · LM4UC
Long Nguyen, Dat T. Truong,
Nhan D. Tran, Quynh Vo, Quy Tran Nguyen and Tho Quan
[
paper]