dl4dp is a Python NLP library, which provides tools for morphological tagging, lemmatization and dependency parsing. The main motivation for this library is to provide state-of-the-art tools for Slovak language, but the models can be build for any language with training data in Universal Dependencies.
The library supports Python 3.6 and later.
The dl4dp is available on PyPi and can be installed via pip. To install simply
run:
pip install dl4dp
To upgrade the previous installation to the newest release, use:
pip install dl4dp -U
Alternatively, you can also install library from this git repository, which will give you more flexibility and allows you to start contributing to the dl4dp code. For this option, run:
git clone https://github.com/peterbednar/dl4dp.git
cd dl4dp
pip install -e .
The library provides a command-line interface which allows you to train own model, create pipeline package for production deployment, or parse data. The following command will download Universal Dependencies archive and train morphological tagger model on English EWT treebank:
python -m dl4dp train tagger -t en_ewt
Similarly, the following command will train a model for dependency parser:
python -m dl4dp train parser -t en_ewt
Subsequently, you can create and install a pipeline package:
python -m dl4dp package install -t en_ewt
After the installation of the pipeline, it can be used for the parsing of input data in CoNLL-U format:
python -m dl4dp parse ~/.dl4dp/treebanks/en_ewt/en_ewt-ud-test.conllu output.conllu -m en_ewt-0.1.0
dl4dp is released under the MIT License. See the LICENSE file for more details.