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docs: Grammatical fixes
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KennethEnevoldsen committed Jun 4, 2023
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<!-- start short-description -->
DaCy is a Danish natural language preprocessing framework made with SpaCy. Its largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. Feel free to try out the [demo](https://huggingface.co/chcaa/da_dacy_medium_trf?text=DaCy+er+en+pipeline+til+anvendelse+af+dansk+sprogteknologi+lavet+af+K.+Enevoldsen%2C+L.+Hansen+og+K.+Nielbo+fra+Center+for+Humanities+Computing.). This repository contains material for using DaCy, reproducing the results and guides on usage of the package. Furthermore, it also contains behavioural tests for biases and robustness of Danish NLP pipelines.
DaCy is a Danish natural language preprocessing framework made with SpaCy. Its largest pipeline has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. Feel free to try out the [demo](https://huggingface.co/chcaa/da_dacy_medium_trf?text=DaCy+er+en+pipeline+til+anvendelse+af+dansk+sprogteknologi+lavet+af+K.+Enevoldsen%2C+L.+Hansen+og+K.+Nielbo+fra+Center+for+Humanities+Computing.). This repository contains material for using DaCy, reproducing the results and guides on the usage of the package. Furthermore, it also contains behavioral tests for biases and robustness of Danish NLP pipelines.
<!-- end short-description -->

## 🔧 Installation
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# 💬 Where to ask questions
To ask report issues or request features, please use the [GitHub Issue Tracker](https://github.com/centre-for-humanities-computing/DaCy/issues).
Questions related to SpaCy are kindly referred to the SpaCy GitHub or forum. Otherwise, please use the discussion Forums.
To report issues or request features, please use the [GitHub Issue Tracker](https://github.com/centre-for-humanities-computing/DaCy/issues).
Questions related to SpaCy are kindly referred to the SpaCy GitHub or forum. Otherwise, please use the Discussion Forums.

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