Yu-Ping Chen

XLM-Transformer Models for for Chinese-Japanese Neural Machine Translation under Data Augmentation Technology

Cross-lingual semantic alignment and data scarcity remain two major challenges for low-resource language pairs in neural machine translation (NMT), particularly when developing translation models with crossdomain adaptability. This study proposes a Chinese–Japanese NMT framework that integrates the pre-trained cross-li...