added dacy to universe
"category": ["pipeline"],
"tags": ["lemmatizer", "danish"]
},
+ {
+ "id": "dacy",
+ "title": "DaCy",
+ "slogan": "An efficient Pipeline for Danish NLP",
+ "description": "DaCy is a Danish preprocessing pipeline trained in SpaCy. It has achieved State-of-the-Art performance on Named entity recognition, part-of-speech tagging and dependency parsing for Danish. This repository contains material for using the DaCy, reproducing the results and guides on usage of the package. Furthermore, it also contains a series of behavioural test for biases and robustness of Danish NLP pipelines.",
+ "github": "centre-for-humanities-computing/DaCy",
+ "pip": "dacy",
+ "code_example": [
+ "import dacy",
+ "dacy.models() # get a list of dacy models",
+ "nlp = dacy.load('medium') # load your spacy pipeline",
+ "",
+ "# DaCy also includes functionality for adding other Danish models to the pipeline",
+ "# For instance you can add the BertTone model for classification of sentiment polarity to the pipeline:"
+ "nlp = add_berttone_polarity(nlp)",
+ ],
+ "thumb": "https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png",
+ "author": "Centre for Humanities Computing Aarhus",
+ "author_links": {
+ "github": "https://github.com/centre-for-humanities-computing"
+ "website": "https://chcaa.io/#/"
+ },
+ "category": ["pipeline"],
+ "tags": ["pipeline", "danish"]
+ },
{
"id": "wmd-relax",
"slogan": "Calculates word mover's distance insanely fast",
