DaMorph is a collection of experimental models developed to explore the impact of morphological segmentation on Danish NLP.
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DaMorph is a collection of experimental models developed to explore the impact of morphological segmentation on Danish NLP.
DaMorph is a collection of experimental morphological tokenizers developed to explore the impact of morphological segmentation on Danish NLP.
Danish Medical Text Summarisation models. All trained on the LUMI HPC. GitHub repository can be found at: https://github.com/emilschleder/DaMedSum