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README.md
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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 using [FastText](https://fasttext.cc/).
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The embeddings were trained for 10 epochs using a window size of 5 and 10 negative samples.
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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 using [FastText](https://fasttext.cc/).
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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 our [paper](https://openreview.net/forum?id=cc9USd2ec-)
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