eKorpkit provides a flexible interface for NLP and ML research pipelines such as extraction, transformation, tokenization, training, and visualization. Its powerful config composition is backed by Hydra.

• You can compose your configuration dynamically, enabling you to easily get the perfect configuration for each research.
• You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files.
• With a help of the eKonf class, it is also easy to compose configurations in a jupyter notebook environment.

• eKorpkit lets you focus on the problem at hand instead of spending time on boilerplate code like command line flags, loading configuration files, logging etc.

• A workflow is a configurable automated process that will run one or more jobs.
• You can divide your research into several unit jobs (tasks), then combine those jobs into one workflow.
• You can have multiple workflows, each of which can perform a different set of tasks.

• With eKorpkit, you can easily share your datasets and models.
• Sharing configs along with datasets and models makes every research reproducible.
• You can share each unit jobs or an entire workflow.

• eKorpkit has a pluggable architecture, enabling it to combine with your own implementation.

Tutorials for ekorpkit package can be found at https://entelecheia.github.io/ekorpkit-book/

Install the latest version of ekorpkit:

pip install ekorpkit

To install all extra dependencies,

pip install ekorpkit[all]

The eKorpkit Corpus is a large, diverse, bilingual (ko/en) language modelling dataset.

@software{lee_2022_6497226,
  author       = {Young Joon Lee},
  title        = {eKorpkit: eKonomic Research Python Toolkit},
  month        = apr,
  year         = 2022,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.6497226},
  url          = {https://doi.org/10.5281/zenodo.6497226}
}

@software{lee_2022_ekorpkit,
  author       = {Young Joon Lee},
  title        = {eKorpkit: eKonomic Research Python Toolkit},
  month        = apr,
  year         = 2022,
  publisher    = {GitHub},
  url          = {https://github.com/entelecheia/ekorpkit}
}

• eKorpkit is licensed under the MIT License. This license covers the eKorpkit package and all of its components.
• Each corpus adheres to its own license policy. Please check the license of the corpus before using it!