A multi-agent system based on HNC for domain-specific machine translation
Abstract Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that can enhance domain-specific machine translation by jointly using this...
Saved in:
| Main Authors: | Ming Li, Keliang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-03414-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effectiveness of Exercise-Based Interventions on Molecular Biomarkers in Head and Neck Cancer (HNC) Survivors: A Systematic Review
by: Hritika D. Pai MPT, et al.
Published: (2025-08-01) -
Recent advances in tumor targeted polymeric nanoparticles for HNC treatment: Enhancing therapeutic efficacy via engineered and biocompatible drug delivery systems
by: Manoj Kumar Srinivasan, et al.
Published: (2025-11-01) -
Measuring Machine Translation Errors in New Domains
by: Ann Irvine, et al.
Published: (2021-03-01) -
Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning
by: Biao ZHANG, et al.
Published: (2022-12-01) -
Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation
by: Rui Wang
Published: (2020-01-01)