Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties
In this paper, we present an in-depth investigation of the linguistic knowledge encoded by the transformer models currently available for the Italian language. In particular, we investigate how the complexity of two different architectures of probing models affects the performance of the Transformer...
Gespeichert in:
| Veröffentlicht in: | URI:https://journals.openedition.org/ijcol, |
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| Hauptverfasser: | , , , , |
| Format: | Article ou chapitre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
IJCoL
2022
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| Online Zugang: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |