# atilika/kuromoji

Kuromoji is a self-contained and very easy to use Japanese morphological analyzer designed for search

Repository: https://github.com/atilika/kuromoji
Canonical: https://ross.abutalabs.com/products/kuromoji
Language: Java
License: Apache-2.0
License Family: permissive
Topics: japanese, morphological-analyser, nlp-library, part-of-speech-tagger
Last push: 2023-01-23T08:45:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5704, "days_push": 1318, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1056, forks 139 (observed 2026-08-28T04:03:24.650550+00:00)

## What it is
Kuromoji is a self-contained, easy-to-use Japanese morphological analyzer written in Java, supporting word segmentation, part-of-speech tagging, lemmatization, and reading extraction. It ships with multiple dictionaries (IPADIC, UniDic, etc.) and is designed with search applications in mind.

## Use cases
- segment japanese text into words
- tag japanese text with part of speech
- lemmatize japanese verbs and adjectives
- extract furigana readings for kanji
- tokenize japanese text for full-text search
- analyze japanese sentences in a java application

## When to choose
- you need japanese tokenization in a JVM project like Elasticsearch or Lucene
- you want a self-contained analyzer with no external dependencies
- you need multiple dictionary options including NEologd variants

## When to avoid
- you need a non-JVM language like Python or Ruby
- you need modern neural NLP models rather than dictionary-based analysis
- you need actively developed features, as the project is in maintenance mode

## Facets
- artifact type: library
- maturity: maintenance
- function: nlp, parser
- domain: developer-tools
- platform: jvm, cross-platform
- tags: japanese, morphological-analysis, tokenization, part-of-speech-tagger, lemmatization, search, natural-language-processing

## Member repositories
- atilika/kuromoji (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:24.650550+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:58:18.435018+00:00, confidence not recorded.
  - readme: https://github.com/atilika/kuromoji (fetched 2026-08-28T04:03:24.650550+00:00, sha 6980efb19215)
- Data as of 2026-08-30T08:39:29.467469+00:00.