TY  - CONF
T1  - Intelligent Decision Support for Article Translation in Multilingual Newsrooms
A1  - Liu, Zhan
A1  - Bertaud, Adrien
A1  - Darbellay, Anne
A1  - Glassey Balet, Nicole
TI  - 41th ACM/SIGAPP Symposium on Applied Computing
Y1  - 2026
SP  - 806
EP  - 814
PB  - ACM
CY  - Thessaloniki, Greece
M2  - doi: https://doi.org/10.1145/3748522.3779719
KW  - Cross-lingual translation
KW  - Decision support systems
KW  - Human-in-the-loop AI
KW  - Hybrid AI models
KW  - Intelligent systems
KW  - Media prediction
KW  - Multilingual newsrooms
N2  - We present an intelligent decision support system, powered by AI-driven prediction, designed to assist multilingual newsrooms in selecting articles for cross-regional translation as part of the digital transformation of journalism. Trained on 15,933 German-language articles from a major Swiss publisher, the system combines multilingual BERT embeddings with 41 engineered features and incorporates real-time editorial feedback through an active learning loop. It achieves an accuracy of 85.0%. During deployment, F1 improved from 77.5% to 81.2% after four weeks of feedback-driven exemplar refresh. Ablation studies indicate that sentiment polarity, regional relevance, and person-type named entities are the most influential features. The interface highlights key factors, ensuring transparency and consistency with editorial practice. By pairing hybrid NLP with human-in-the-loop prompting, the approach operationalizes intelligent translation triage in a live newsroom while preserving human control over final decisions.
ER  -