Wals Roberta Sets 37-70.zip Direct

: Gender assignment (32A), coding of nominal plurality (33A), and the number of cases (49A).

: Using the WALS database features as labels to see if a model's internal representations (embeddings) cluster according to known linguistic traits, such as whether a language uses definite articles.

: Obligatory possessive inflection (58A) and possessive classification (59A). WALS roberta sets 37-70.zip

For more information on the specific data points, you can explore the Official WALS Features List or the WALS-Bench dataset on Hugging Face.

: Position of tense-aspect affixes (69A) and the morphological imperative (70A). Use Cases for the Dataset : Gender assignment (32A), coding of nominal plurality

: Testing if models like RoBERTa or XLM-RoBERTa have "learned" the typological rules of specific languages during pre-training.

The features in this range are essential for understanding how different languages handle noun and verb structures. : For more information on the specific data points,

: Definite (37A) and Indefinite (38A) article systems.