klca

klca is a Korean lexical complexity analyzer.

Usage

Show help:

python3 -m klca --help

Analyze one file:

python3 -m klca file --input-file path/to/text.txt --output output.json

Analyze a folder:

python3 -m klca folder --input-dir path/to/texts --output results.csv

• Use --recursive to include text files in subfolders. Without it, only files directly inside --input-dir are processed.

Included Resources

This package includes bundled resources used by the analyzer, including:

• Reference databases for frequency, range, and association, released as an open-source dataset (korean-fineweb-edu)
• Vocabulary grade database (National Institute of Korean Language resources), released under Korea Open Government License Type 1

Morpheme Parsing and Tagging

• By default, klca uses the Korean stanza GSD model for tokenization, POS tagging, and lemmatization.
• The model is downloaded by stanza at runtime and is not bundled in this package.
• If you want to use a different Korean stanza model or a custom local model, you can modify the Stanza pipeline settings in the setting (both core.py and batch.py).

License

• This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.