kakao/khaiii
Kakao Hangul Analyzer III observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 93
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2837
- days_rel: n/a
- days_push: 47
- n_releases_24m: 0
Adoption not part of the score
1450 stars · 300 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Khaiii (Kakao Hangul Analyzer III) is a data-driven Korean morphological analyzer developed by Kakao, using a CNN-based neural network model trained on the Sejong corpus. It segments Korean text into morphemes with part-of-speech tags and supports user dictionaries for pre-analysis and error patching.
Use cases
- tokenize korean text into morphemes
- korean pos tagging for nlp pipelines
- preprocess korean sentences for search indexing
- analyze korean text with poor spacing
- add custom dictionary entries for korean named entities
- fast korean morpheme analysis in production services
When to choose
- you need accurate, fast Korean morphological analysis
- your input text has spacing errors and needs robust segmentation
- you want a C++ core with Python bindings for low-latency NLP preprocessing
When to avoid
- you need morphological analysis for languages other than Korean
- you need a pure-Python dependency-free solution
- you require frequent model retraining or GPU inference
Facets
library · maturity maintenance
nlp machine-learning machine-learning developer-tools python cpp korean morphological-analysis tokenization cnn hangul pos-tagging natural-language-processing linux macos
1 source
- readme: https://github.com/kakao/khaiii · fetched 2026-08-28 · b0f33cd1602d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kakao/khaiii | main | 65 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem