can learn or predict these typological features (e.g., word order, phonology, or grammar). Zero-Shot or Cross-Lingual Transfer
Standard RoBERTa models (e.g., roberta-base ) are trained on natural text (Wikipedia, books, web crawl). They understand what is said, but not necessarily how a language works typologically. This file bridges that gap. WALS Roberta Sets 1-36.zip
Start with WALS data. You can use the WALS Online database directly. can learn or predict these typological features (e
: A large database of structural properties of languages (typological features) gathered from descriptive materials. Official data can be downloaded directly from the WALS website . and any included tokenizer/model files
Begin by opening the README/manifest inside the ZIP to confirm exact structure, licensing, and any included tokenizer/model files; then follow the preprocessing and experiment workflows above to get reliable, reproducible results.