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README.md

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 # Web register classification (multilingual model)
 
 Amultilingual web register classifier, fine-tuned from XLM-RoBERTa-large. 
-The model is trained with the multilingual CORE corpora across five languages (English, Finnish, French, Swedish, Turkish) to classify documents based on the [CORE taxonomy](https://www.cambridge.org/core/books/register-variation-online/D1D0F0E0BFEA077107F4686C357AA66B), detailed [here](https://turkunlp.org/register-annotation-docs/abbreviations). 
+The model is trained with the multilingual CORE corpora across five languages (English, Finnish, French, Swedish, Turkish) to classify documents based on the CORE taxonomy, detailed [here](https://turkunlp.org/register-annotation-docs/abbreviations). 
 The model demonstrates state-of-the-art performance in classifying web registers and achieves good zero-shot performance for additional languages.
 It is designed to support the development of open language models and for linguists analyzing register variation.
 ## Model Details