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@@ -17,7 +17,7 @@ To train Aleph-Alpha-GermanWeb-Grammar-Classifier-BERT, we used [LanguageTool](h
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  We trained Aleph-Alpha-GermanWeb-Grammar-Classifier-BERT on 95\% of the data to classify the high and low quality examples -- and used the remaining 5\% for validation, reaching a precision of 67\% and recall of 66\% on the validation set.
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- Further details can be found in our accompanying paper (link to paper coming soon).
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  ## Example Snippet
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  We trained Aleph-Alpha-GermanWeb-Grammar-Classifier-BERT on 95\% of the data to classify the high and low quality examples -- and used the remaining 5\% for validation, reaching a precision of 67\% and recall of 66\% on the validation set.
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+ Further details can be found in our [accompanying paper](https://arxiv.org/abs/2505.00022).
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  ## Example Snippet
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