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chinese-text-segmentation

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Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

  • Updated Sep 18, 2023
  • Java

Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

  • Updated Aug 21, 2026
  • Python

中文文本分类、序列标注工具包(pytorch),支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

  • Updated Jul 18, 2024
  • Python

面向中文标书(MD)的混合抽取:规则/NER 优先,仅将低置信或冲突片段交给 LLM——可审计、低成本、高效率。Hybrid extraction for Chinese tender docs (MD): rules/NER first, LLM only for low-confidence/conflicts—auditable, lower cost, higher efficiency.

  • Updated Sep 17, 2026
  • Python

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