# NLPIR-team/NLPIR

Repository: https://github.com/NLPIR-team/NLPIR
Canonical: https://ross.abutalabs.com/products/nlpir
Homepage: http://www.nlpir.org/
Language: HTML
License Family: other
Last push: 2026-07-30T02:38:33+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 4139, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3474, forks 1996 (observed 2026-08-28T04:08:06.075994+00:00)

## What it is
NLPIR is a Chinese natural language processing platform (formerly ICTCLAS) providing an SDK with around twenty text analysis functions including word segmentation, POS tagging, named entity recognition, keyword extraction, classification, and summarization. The repository bundles the SDK, license files, a Lucene integration, a no-code document parsing client, and related research papers.

## Use cases
- segment chinese text into words
- extract keywords from chinese documents
- named entity recognition for chinese text
- integrate chinese tokenization into lucene search
- classify and summarize chinese documents without coding
- build knowledge graphs from chinese text

## When to choose
- you need mature chinese word segmentation (ICTCLAS) with multi-language SDK bindings
- you want a desktop client to analyze documents without writing code
- you need chinese NLP integrated into a Lucene/Solr search pipeline

## When to avoid
- you need a permissively licensed library - licensing terms are restrictive and license files require periodic renewal
- you need state-of-the-art transformer-based NLP rather than classical statistical methods
- you work primarily with non-Chinese text

## Facets
- artifact type: library
- maturity: active
- function: nlp, parser, search-engine, sdk
- domain: big-data, developer-tools
- platform: cross-platform, windows, python, jvm, cpp
- tags: chinese-word-segmentation, ictclas, text-mining, knowledge-graph, lucene-integration, chinese-nlp, natural-language-processing, linux, macos

## Member repositories
- NLPIR-team/NLPIR (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:06.075994+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 2026-08-29T18:36:33.134288+00:00, confidence not recorded.
  - readme: https://github.com/NLPIR-team/NLPIR (fetched 2026-08-28T04:08:06.075994+00:00, sha 029ff31e6e5d)
  - homepage: http://www.nlpir.org/ (fetched 2026-08-29T09:30:33.054952+00:00, sha 107bc1bbbe76)
- Data as of 2026-08-30T08:39:29.467469+00:00.