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The creation of represents a bridge between traditional descriptive linguistics and modern deep learning. By packaging the first 36 WALS feature sets into a RoBERTa-compatible format, this archive democratizes access to typological data. It allows a computational linguist with no background in Zulu or Nepali to train models that respect and learn from structural diversity. WALS Roberta Sets 1-36.zip
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