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Da Dacy Small Trf

Developed by chcaa
DaCy is a Danish language processing framework that provides state-of-the-art pipelines and functionalities for analyzing Danish language pipelines.
Downloads 62
Release Time : 3/2/2022

Model Overview

The DaCy Small Model is an NLP processing model for Danish, supporting various tasks such as POS tagging, dependency parsing, named entity recognition, and excels in Danish language processing.

Model Features

Multitasking Capability
Supports various NLP tasks including POS tagging, dependency parsing, and named entity recognition.
Danish Language Optimization
A processing pipeline specifically optimized for Danish, delivering excellent performance in Danish NLP tasks.
High Performance
Achieves state-of-the-art performance in POS tagging and dependency parsing on the Danish Dependency Treebank.

Model Capabilities

POS classification
POS tagging
Morphological analysis
Lemmatization
Dependency parsing
Named entity recognition
Coreference resolution
Named entity linking
Named entity disambiguation

Use Cases

Text Analysis
Danish Text Processing
Performs POS tagging and syntactic analysis on Danish texts.
POS tagging accuracy 98.47%, dependency parsing UAS 89.79%
Information Extraction
Named Entity Recognition
Identifies named entities from Danish texts.
NER F1-score 82.38%
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