A model based on KB/bert-base-swedish-cased trained for CEFR level classification of learner essays.
Standardreferens
Ricardo Muñoz Sánchez, David Alfter, Simon Dobnik, Maria Irena Szawerna, Elena Volodina
(2024):
Jingle BERT, Jingle BERT, Frozen All the Way: Freezing Layers to Identify CEFR Levels of Second Language Learners Using BERT,
i Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2024),
sida 137-152
Datacitering
Muñoz Sánchez, Ricardo. sbx/KB-bert-swedish_CEFR-classification [Data set]. Bearbetad och distribuerad av Språkbanken. https://doi.org/10.23695/hqj9-mx09
Ytterligare sätt att citera datamängden.
Förbehåll
This model is not meant to be used in high-stakes contexts. It is meant to be used exclusively as a language-learning tool.
Avsedd användning
CEFR level classification
Ladda ned
| Fil | Storlek | Modifierad | Licens |
|---|---|---|---|
|
KB-bert-swedish_CEFR-classification
The model is hosted on HuggingFace and can be easily accessed e.g. using their Python library.
|
122.87 KB | GPL-3.0 |