trainer.train()
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A large database of structural (phonological, grammatical, lexical) properties gathered from descriptive materials like reference grammars. Key Features: trainer
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, suggests that RoBERTa models begin to acquire human-like linguistic biases after being trained on over 1 billion words. Multilingual Use: Variants like XLM-RoBERTa
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WALS is a cornerstone for —the study of cross‑linguistic patterns and universals. Researchers use it to test hypotheses about language evolution, areal diffusion, and cognitive constraints. It has also become valuable in computational linguistics , providing typological data to improve natural language processing (NLP) models.