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Papers
Attribute-Controlled Translation with Preference Optimization
EACL 2026
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
ACL 2023
Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning
ACL 2023
Low-Resource Formality Controlled NMT Using Pre-trained LM
ACL 2023
Speech Translation with Style: AppTek’s Submissions to the IWSLT Subtitling and Formality Tracks in 2023
ACL 2023
Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation
EMNLP 2023
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022
ACL 2022
Controlling Translation Formality Using Pre-trained Multilingual Language Models
ACL 2022
Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies
ACL 2022
Controlling Neural Machine Translation Formality with Synthetic Supervision
AAAI 2020
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation
EMNLP 2019
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output
EMNLP 2017