ysc/word
Java分布式中文分词组件 - word分词 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 4551
- days_rel: n/a
- days_push: 1981
- n_releases_24m: 0
Adoption not part of the score
1818 stars · 680 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Java distributed Chinese word segmentation library offering multiple dictionary-based segmentation algorithms with ngram-based disambiguation. It recognizes named entities, dates, and numbers, and integrates with Lucene, Solr, and ElasticSearch.
Use cases
- segment chinese text into words in java
- tokenize chinese for full-text search indexing
- extract named entities like person and place names from chinese text
- compute text similarity between chinese documents
- add chinese word segmentation to elasticsearch or solr
- count word frequency and tag part of speech in chinese text
When to choose
- you need Chinese word segmentation in a JVM application
- you want Lucene, Solr, or ElasticSearch integration out of the box
- you need custom user dictionaries and multiple segmentation algorithms
When to avoid
- you need segmentation for languages other than Chinese
- you require actively maintained software with recent updates
- you need deep-learning-based neural segmentation models
Facets
library · maturity maintenance
nlp parser search-engine developer-tools jvm cross-platform chinese-word-segmentation text-similarity lucene-integration elasticsearch-plugin solr-integration ngram-model part-of-speech-tagging natural-language-processing search
1 source
- readme: https://github.com/ysc/word · fetched 2026-08-28 · 1ba4fd9cd635
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ysc/word | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem