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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
| Date | Stars |
|---|---|
| 2026-07-24 | 2839 |
| 2026-07-25 | 2839 |
| 2026-07-28 | 2839 |
| 2026-07-30 | 2839 |
| 2026-08-06 | 2839 |
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# gse Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. And supports with [elasticsearch](https://github.com/vcaesar/go-gse-elastic) and [bleve](https://github.com/vcaesar/gse-bleve). <!--<img align="right" src="https://raw.githubusercontent.com/go-ego/ego/master/logo.jpg">--> <!--<a href="https://circleci.com/gh/go-ego/ego/tree/dev"><img src="https://img.shields.io/circleci/project/go-ego/ego/dev.svg" alt="Build Status"></a>--> [](https://github.com/go-ego/gse/commits/master) [](https://circleci.com/gh/go-ego/gse) [](https://codecov.io/gh/go-ego/gse) [](https://goreportcard.com/report/github.com/go-ego/gse) [](https://godoc.org/github.com/go-ego/gse) [](https://github.com/go-ego/gse/releases/latest) [](https://gitter.im/go-ego/ego?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) <!-- [](https://github.com/go-ego/gse/releases/latest) --> <!--<a href="https://github.com/go-ego/ego/releases"><img src="https://img.shields.io/badge/%20version%20-%206.0.0%20-blue.svg?style=flat-square" alt="Releases"></a>--> [简体中文](https://github.com/go-ego/gse/blob/master/README_zh.md) | [日本語](https://github.com/go-ego/gse/blob/master/README_ja.md) Gse is implements jieba by golang, and try add NLP support and more feature I build [Codg](https://github.com/vcaesar/codg) now, Easy code and work AI agent system: auto, asynchronous, concurrency, efficiently and High accuracy <p align="center"> <a href="https://github.com/vcaesar/codg" rel="nofollow"> <!-- <img width="800" alt="Codg Demo" src="https://github.com/vcaesar/codg/raw/main/demo/26-04.png" /> --> <img width="800" alt="Codg Demo" src="https://github.com/vcaesar/codg/raw/main/demo/26-04-1.png" /> </a> </p> ## Feature: - Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes; - Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words - Support multilingual: English, Chinese, Japanese and others - Support Traditional Chinese - Support HMM cut text use Viterbi algorithm - Support NLP by TensorFlow (in work) - Named Entity Recognition (in work) - Supports with [elasticsearch](https://github.com/vcaesar/go-gse-elastic) and bleve - run<a href="https://github.com/go-ego/gse/blob/master/tools/server/server.go"> JSON RPC service</a>. ## Algorithm: - [Dictionary](https://github.com/go-ego/gse/blob/master/dictionary.go) with double array trie (Double-Array Trie) to achieve - [Segmenter](https://github.com/go-ego/gse/blob/master/dag.go) algorithm is the shortest path (based on word frequency and dynamic programming), and DAG and HMM algorithm word segmentation. ## Text Segmentation speed: - <a href="https://github.com/go-ego/gse/blob/master/tools/benchmark/benchmark.go"> single thread</a> 9.2MB/s - <a href="https://github.com/go-ego/gse/blob/master/tools/benchmark/goroutines/goroutines.go">goroutines concurrent</a> 26.8MB/s. - HMM text segmentation single thread 3.2MB/s. (2core 4threads Macbook Pro). ## Binding: [gse-bind](https://github.com/vcaesar/gse-bind), binding JavaScript and other, support more language. ## Install / update With Go module support (Go 1.11+), just import: ```go import "github.com/go-ego/gse" ``` Otherwise, to install the gse package, run
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0f339b64925c8db7, topic:nlp, readme:named entity recognition, readme:part-of-speech