3 papers
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,…
cs.CL2024
On Eliciting Syntax from Language Models via Hashing
Yiran Wang, Masao Utiyama
Unsupervised parsing, also known as grammar induction, aims to infer syntactic structure from raw text. Recently, binary representation has exhibited remarkable information-preserv…