Update README.md

README.md

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 # Web register classification (multilingual model)
 
 A multilingual 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, detailed below. 
-It can predict labels for the 100 languages XLM-RoBERTa-large was pretrained on. The model achieves state-of-the-art performance in classifying web registers for the trained languages and has strong transfer performance (see Evaluation below).
+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://turkunlp.org/register-annotation-docs/). 
+It can predict labels for the 100 languages covered by XLM-RoBERTa-large. The model achieves state-of-the-art performance in classifying web registers for the trained languages and has strong transfer performance (see Evaluation below).
 It is designed to support the development of open language models and for linguists analyzing register variation.
 
 ## Model Details