danlp
NLP toolbox
A collection of NLP resources and datasets for the Danish Language.
DaNLP is a repository for Natural Language Processing resources for the Danish Language.
199 stars
18 watching
34 forks
Language: Python
last commit: over 2 years agoLinked from 2 awesome lists
danishmachine-learningnamed-entity-recognitionnatural-language-processingnlpnlp-librarypart-of-speechword-embeddings
Related projects:
| Repository | Description | Stars |
|---|---|---|
| This repository provides code and data for a named entity recognition system for the Danish language, including tools for lexical normalization. | 5 | |
| A language model trained on Danish Wikipedia data for named entity recognition and masked language modeling | 9 | |
| A tool for identifying and categorizing named entities in Danish text using machine learning and natural language processing techniques. | 17 | |
| A collection of natural language processing models and tools for collaboration on a joint project between BAAI and JDAI. | 254 | |
| A collection of resources and notes on deep learning for natural language processing. | 2,197 | |
| A collection of resources and tools for Natural Language Processing in Portuguese. | 250 | |
| An open-source collection of Danish language models for natural language processing tasks | 30 | |
| An integration of memory-based natural language processing modules for Dutch | 75 | |
| A unified framework for Danish NLP tasks using SpaCy. | 93 | |
| A JavaScript natural language processing library providing utilities for analyzing and manipulating text data. | 37 | |
| A Python library offering natural language processing capabilities for pre-modern languages | 843 | |
| A Python-based library providing common text processing and Natural Language Processing tools for Indian languages | 561 | |
| A C# Natural Language Processing library with pre-trained models and tools for building custom models | 752 | |
| A curated collection of natural language processing resources and libraries for developers to access and build upon | 73 |