13 papers
The University of Melbourne WMT 2026 CreoleMT Submission: A Domain-Balanced Approach to Low-Resource Pacific Creole Machine Translation
Raphaël Merx, Nick Thieberger, Ekaterina Vylomova
For our submission to the WMT26 Creole Language Translation Shared Task, we focus on machine translation (MT) models for Pacific creoles: Tok Pisin, Bislama, and Solomon Pijin, wit…
Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent
Raphael Merx, Ekaterina Vylomova, Trevor Cohn
Translation quality depends on purpose: the same source text demands different translations depending on audience, tone, and communicative intent. Yet MT models and metrics treat t…
Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea
Bri Olewale, Raphael Merx, Ekaterina Vylomova
We present Vavanagi, a community-run platform for Hula (Vula'a), an Austronesian language of Papua New Guinea with approximately 10,000 speakers. Vavanagi supports crowdsourced Eng…
A Joint Multitask Model for Morpho-Syntactic Parsing
Demian Inostroza, Mel Mistica, Ekaterina Vylomova +2
We present a joint multitask model for the UniDive 2025 Morpho-Syntactic Parsing shared task, where systems predict both morphological and syntactic analyses following novel UD ann…
OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
Raphaël Merx, Hanna Suominen, Trevor Cohn +1
In machine translation (MT), health is a high-stakes domain characterised by widespread deployment and domain-specific vocabulary. However, there is a lack of MT evaluation dataset…
TULUN: Transparent and Adaptable Low-resource Machine Translation
Raphaël Merx, Hanna Suominen, Lois Hong +3
Machine translation (MT) systems that support low-resource languages often struggle on specialized domains. While researchers have proposed various techniques for domain adaptation…