Author

Ekaterina Vylomova

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#natural language process... Preprint Sep 2026

The University of Melbourne WMT 2026 CreoleMT Submission: A Domain-Balanced Approach to Low-Resource Pacific Creole Machine Translation

This work focuses on machine translation models for Pacific creoles: Tok Pisin, Bislama, and Solomon Pijin, with particular attention to broad domain performance, and relies on a number of data collection and preparation techniques, including LLM-assisted respelling and alignment, back-translation, and distillation fro...

Raphael Merx, Nick Thieberger, Ekaterina Vylomova · 0 citations

#natural language process... Jun 2026

Beyond "To whom it may concern": Tailoring Machine Translation to Audience and Intent

A systematic evaluation of purpose-driven MT establishes that purpose-adapted MT is a viable and measurable capability of LLMs, while highlighting the need for purpose-aware metrics.

Raphael Merx, Ekaterina Vylomova, Trevor Cohn · arXiv.org · 1 citation