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Our paper on who uses tetun.org, and what for, got published at the LoResMT 2025 workshop! An emotional paper for me, going back to the project that got me into a machine learning PhD in the first place.

We find that (1) a LOT of usage is for educational purposes (>50% of translated text) --> contrasts sharply with Tetun corpora (e.g. MADLAD), dominated by news & religion. Takeaway: don't evaluate MT on overrepresented domains (e.g. religion)! You risk misrepresenting end-user exp.

(2) Translation into Tetun is in higher demand (by >2x) than translation from Tetun Takeaway for us MT folks: focus on translation into low-res langs, harder but more impactful

(3) The vast majority of usage is on mobile (over 90% of users / over 80k devices) Takeaway: publishing MT model in mobile apps is probably more impactful than setting up a website / HuggingFace space.