3 papers
cs.CL2025
Structured Document Translation via Format Reinforcement Learning
Haiyue Song, Johannes Eschbach-Dymanus, Hour Kaing +4
Recent works on structured text translation remain limited to the sentence level, as they struggle to effectively handle the complex document-level XML or HTML structures. To addre…
cs.CL2025
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation
Zhi Qu, Yiran Wang, Jiannan Mao +4
The multilingual neural machine translation (MNMT) aims for arbitrary translations across multiple languages. Although MNMT-specific models trained on parallel data offer low costs…
cs.CL2024
Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation
Zhi Qu, Yiran Wang, Chenchen Ding +3
Existing multilingual neural machine translation (MNMT) approaches mainly focus on improving models with the encoder-decoder architecture to translate multiple languages. However,…