Wals Roberta Sets 136zip Upd Full Jun 2026

Predict the dominant word order (SOV, SVO, etc.) for a low-resource language given its other WALS features, using RoBERTa fine-tuned on WALS data.

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Most large language models are trained primarily on English or other high‑resource languages, giving them a strong Indo‑European bias. By integrating typological features like those in WALS, researchers can create models that are more aware of the structural diversity of human languages. This can improve performance on low‑resource languages and cross‑lingual transfer tasks. Predict the dominant word order (SOV, SVO, etc