A domain-specific cross-lingual semantic alignment learning model for low-resource languages.
- DOI
- 10.1016/j.neunet.2025.108114
- Published
- 2026 Feb
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108114,
title = {A domain-specific cross-lingual semantic alignment learning model for low-resource languages.},
author = {Wang Y and Lin M and Hu Q and Bai S and Li Y and Bao L},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.108114},
url = {https://doi.org/10.1016/j.neunet.2025.108114}
}RIS
TY - JOUR TI - A domain-specific cross-lingual semantic alignment learning model for low-resource languages. AU - Wang Y AU - Lin M AU - Hu Q AU - Bai S AU - Li Y AU - Bao L PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.108114 UR - https://doi.org/10.1016/j.neunet.2025.108114 ER -
APA
Y, W., M, L., Q, H., S, B., Y, L., & L, B. (2026). A domain-specific cross-lingual semantic alignment learning model for low-resource languages.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.108114
Source records
- pubmed · retrieved 2026-09-26T06:34:45.481Z