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processing"],"readme":"\u003ca href=\"https://github.com/centre-for-humanities-computing/Dacy\"\u003e\u003cimg src=\"https://github.com/centre-for-humanities-computing/DaCy/raw/main/docs/_static/icon_black_text.png\" width=\"175\" height=\"175\" align=\"right\" /\u003e\u003c/a\u003e\n# DaCy: An efficient and unified framework for danish NLP\n\n[![PyPI](https://img.shields.io/pypi/v/dacy.svg)][pypi status]\n[![pip downloads](https://img.shields.io/pypi/dm/dacy.svg)](https://pypi.org/project/dacy/)\n[![Python Version](https://img.shields.io/pypi/pyversions/dacy)][pypi status]\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)]([ruff])\n[![documentation](https://github.com/centre-for-humanities-computing/dacy/actions/workflows/documentation.yml/badge.svg)][documentation]\n[![Tests](https://github.com/centre-for-humanities-computing/dacy/actions/workflows/tests.yml/badge.svg)][tests]\n\n[pypi status]: https://pypi.org/project/dacy/\n[documentation]: https://centre-for-humanities-computing.github.io/DaCy/\n[tests]: https://github.com/centre-for-humanities-computing/dacy/actions?workflow=Tests\n[ruff]: https://github.com/astral-sh/ruff\n\n\n\u003c!-- start short-description --\u003e\nDaCy 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.\n\u003c!-- end short-description --\u003e\n\n## 🔧 Installation\n\nYou can install `dacy` via [pip] from [PyPI]:\n\n```bash\npip install dacy\n```\n\n## 👩‍💻 Usage\nTo use the model you first have to download either the small, medium, or large model. To see a list of all available models:\n\n```python\nimport dacy\nfor model in dacy.models():\n    print(model)\n# ...\n# da_dacy_small_trf-0.2.0\n# da_dacy_medium_trf-0.2.0\n# da_dacy_large_trf-0.2.0\n```\n\nTo download and load a model simply execute:\n```python\nnlp = dacy.load(\"da_dacy_medium_trf-0.2.0\")\n# or equivalently (always loads the latest version)\nnlp = dacy.load(\"medium\")\n```\n\nTo see more examples, see the [documentation].\n\n# 📖 Documentation\n\n| Documentation              |                                                                                             |\n| -------------------------- | ------------------------------------------------------------------------------------------- |\n| 📚 **[Getting started]**    | Guides and instructions on how to use DaCy and its features.                                |\n| 🦾 **[Performance]**        | A detailed description of the performance of DaCy and comparison with similar Danish models |\n| 📰 **[News and changelog]** | New additions, changes and version history.                                                 |\n| 🎛 **[API References]**     | The detailed reference for DaCy's API. Including function documentation                     |\n| 🙋 **[FAQ]**                | Frequently asked questions                                                                  |\n\n\n[Installation]: https://centre-for-humanities-computing.github.io/DaCy/installation.html\n[Getting started]: https://centre-for-humanities-computing.github.io/DaCy/tutorials/basic.html\n[api references]: https://centre-for-humanities-computing.github.io/DaCy/\n[News and changelog]: https://centre-for-humanities-computing.github.io/DaCy/news.html\n[FAQ]: https://centre-for-humanities-computing.github.io/DaCy/faq.html\n[Performance]: https://centre-for-humanities-computing.github.io/DaCy/performance.html\n\n\n\n\n\n\u003cbr /\u003e \n\n\u003cdetails\u003e\n  \u003csummary\u003e Training and reproduction \u003c/summary\u003e\n\nThe folder `training` contains a range of folders with a SpaCy project for each model version. This allows for the reproduction of the results.\n\nWant to learn more about how DaCy initially came to be, check out this [blog post](https://www.centre-for-humanities-computing.com/post/new-fast-and-efficient-state-of-the-art-in-danish-nlp/).\n\n\u003c/details\u003e\n\n\u003cbr /\u003e \n\n\n# 💬 Where to ask questions\nTo report issues or request features, please use the [GitHub Issue Tracker](https://github.com/centre-for-humanities-computing/DaCy/issues).\nQuestions related to SpaCy are kindly referred to the SpaCy GitHub or forum. Otherwise, please use the Discussion Forums.\n\n| Type                           |                        |\n| ------------------------------ | ---------------------- |\n| 📚 **FAQ**                      | [FAQ]                  |\n| 🚨 **Bug Reports**              | [GitHub Issue Tracker] |\n| 🎁 **Feature Requests \u0026 Ideas** | [GitHub Issue Tracker] |\n| 👩‍💻 **Usage Questions**          | [GitHub Discussions]   |\n| 🗯 **General Discussion**       | [GitHub Discussions]   |\n\n[Documentation]: https://centre-for-humanities-computing.github.io/DaCy/\n[Installation]: https://centre-for-humanities-computing.github.io/dacy/installation.html\n[Tutorials]: https://centre-for-humanities-computing.github.io/dacy/tutorials.html\n[API Reference]: https://centre-for-humanities-computing.github.io/dacy/references.html\n[FAQ]: https://centre-for-humanities-computing.github.io/dacy/faq.html\n[github issue tracker]: https://github.com/centre-for-humanities-computing/dacy/issues\n[github discussions]: https://github.com/centre-for-humanities-computing/dacy/discussions\n[pip]: https://pypi.org/project/pip/\n[PyPI]: https://pypi.org/project/dacy/","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcentre-for-humanities-computing%2FDaCy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcentre-for-humanities-computing%2FDaCy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcentre-for-humanities-computing%2FDaCy/lists"}