Yu-Ping Chen

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

A Chinese–Japanese NMT framework that integrates the pre-trained cross-lingual model Cross-lingual Language Model–RoBERTa with a Dynamic Weighted Iterative Back-Translation for Data Augmentation (DWIB-DA) strategy, providing theoretical insights into the synergistic effects of cross-lingual pretraining and dynamic data...