huichen/sego
Go中文分词 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4793
- days_rel: n/a
- days_push: 1387
- n_releases_24m: 0
Adoption not part of the score
1826 stars · 353 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
sego is a Go library for Chinese word segmentation using a double-array trie dictionary and a shortest-path-plus-dynamic-programming algorithm. It supports normal and search-engine segmentation modes, user dictionaries, part-of-speech tagging, and can run as a JSON RPC service.
Use cases
- segment Chinese text into words in Go
- tokenize Chinese documents for full-text search indexing
- add custom words to a Chinese segmentation dictionary
- run Chinese word segmentation as an RPC service
- tag parts of speech for segmented Chinese words
When to choose
- you need fast, pure-Go Chinese word segmentation without external dependencies
- you are building a Chinese search engine and need search-mode tokenization
- you want a simple embeddable segmenter with user dictionary support
When to avoid
- you need actively maintained NLP tooling or modern segmentation models
- you need segmentation for languages other than Chinese
- you want deep-learning-based segmentation accuracy
Facets
library · maturity maintenance
nlp parser search-engine developer-tools go cross-platform chinese-word-segmentation double-array-trie tokenization text-segmentation natural-language-processing search
1 source
- readme: https://github.com/huichen/sego · fetched 2026-08-28 · f57edcc66f08
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| huichen/sego | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem