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ysc/word

Java分布式中文分词组件 - word分词 observed · 2026-08-28

github.com/ysc/word · Java · Apache-2.0 (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
ysc/wordmain32

For agents

markdown · JSON · MCP: product_card(name="ysc/word")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem