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NLPchina/ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典 observed · 2026-08-28

github.com/NLPchina/ansj_seg · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • 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: 5110
  • days_rel: n/a
  • days_push: 1018
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

6517 stars · 2267 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Java library for Chinese word segmentation based on n-Gram+CRF+HMM, achieving ~2 million characters/second with 96%+ accuracy. It also provides Chinese name recognition, part-of-speech tagging, custom dictionaries, keyword extraction, and automatic summarization.

Use cases

  • segment chinese text into words
  • tokenize chinese sentences in java
  • recognize chinese person names in text
  • add custom domain dictionary to a chinese tokenizer
  • extract keywords from chinese documents
  • generate automatic summaries of chinese text
  • tag parts of speech for chinese words

When to choose

  • you need fast, high-accuracy chinese word segmentation on the JVM
  • you want user-defined dictionaries and name recognition out of the box
  • your project is Java/Maven-based and needs a pure-Java ict-class segmentation solution

When to avoid

  • you need segmentation for languages other than chinese
  • you want state-of-the-art neural (LSTM/transformer) segmentation models
  • you need a library with frequent updates and active community support

Facets

library · maturity maintenance

nlp parser localization jvm chinese-word-segmentation part-of-speech-tagging named-entity-recognition custom-dictionary keyword-extraction text-summarization natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
NLPchina/ansj_segmain23

For agents

markdown · JSON · MCP: product_card(name="NLPchina/ansj_seg")

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