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python-mecab-ko-dic

mecab-ko-dic packaged for Python

python-mecab-ko-dic v2.1.1.post2 74.8K downloads/30d#14,791 on PyPI2
Permissive license Apache License 2.0 Abandoned released

What it is and what it does

python-mecab-ko-dic packages a pre-compiled Korean morphological analyzer dictionary for use with mecab-ko. Instead of requiring users to manually install mecab-ko and build the dictionary from source—a complex multi-step process—this package bundles the built dictionary and makes it available through a simple Python import. You can retrieve the dictionary path and use it with an existing mecab-ko installation.

The dictionary itself was created by the Eunjeon project. This package is a convenience wrapper that saves setup time for Python projects that need Korean text analysis. However, it is abandoned as of its last release in December 2022, meaning no updates or maintenance should be expected going forward.

Use it for:

  • Simplify setup for Korean NLP pipelines by providing a pre-built dictionary without manual compilation.
  • Integrate Korean morphological analysis into Python text processing workflows that already use mecab-ko.
  • Retrieve the dictionary path programmatically for use with mecab-ko in automated or containerized environments.
  • Support Korean language processing in research or production systems that require tokenization and part-of-speech tagging.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides a pre-built Korean morphological analyzer dictionary for mecab-ko, eliminating the need to manually compile mecab-ko and its dictionary.

Yes, if you already have mecab-ko installed and need a convenient way to access its Korean dictionary in Python. The low install friction and permissive license make it a practical choice. However, be aware that the package is abandoned and will not receive updates; verify that the pre-built dictionary meets your Korean language processing needs before committing to it.

Install

python-mecab-ko-dic on PyPI

pip

pip install python-mecab-ko-dic

uv

uv add python-mecab-ko-dic

poetry

poetry add python-mecab-ko-dic

Installing python-mecab-ko-dic

Before you install

Installation is straightforward with no runtime dependencies. The package has been abandoned since its last release on 2022-12-14, so no active maintenance or bug fixes should be expected.

License in practice

Licensed under Apache License 2.0, a permissive license that allows commercial and private use with minimal restrictions, though you should include a copy of the license in distributions.

Quickstart

pip install python-mecab-ko-dic
import python_mecab_ko_dic
print(python_mecab_ko_dic.dictionary_path)

Requires mecab-ko to be installed separately on your system; this package only provides the dictionary, not the mecab-ko parser itself.

Verify before relying

  • Whether mecab-ko must be installed before or after this package for the dictionary path to be usable.
  • Whether the pre-built dictionary is compatible with all versions of mecab-ko or only specific versions.
  • Current state of the underlying Eunjeon project and whether the dictionary is still actively maintained upstream.

Package facts

License Apache License 2.0 (permissive)
Python support not specified
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance abandoned — 1,339 days since the last release
Last repo commit
First released
Downloads 74,809/month — #14,791 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: python_mecab_ko_dic-2.1.1.post2-py3-none-any.whl

Keywords: mecab, mecab-ko, mecab-dic

Intended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseNatural Language :: KoreanOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyTopic :: Text ProcessingTopic :: Text Processing :: Linguistic

Tags

korean morphological analysismecab-ko dictionarykorean nlp tokenizationkorean text processingmecab korean dickorean pos tagging
korean-nlpmorphological-analysis

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