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# Danish medical word embeddings
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MeDa-We was trained on a Danish medical corpus of 123M tokens.
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The development of the corpus and word embeddings is described further in the paper:
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# Danish medical word embeddings
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MeDa-We was trained on a Danish medical corpus of 123M tokens. The word embeddings are 300-dimensional and are trained with the [FastText](https://fasttext.cc/). The embeddings were trained for 10 epochs using a window size of 5 and 10 negative samples.
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The development of the corpus and word embeddings is described further in the paper:
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