# mynlp

**Repository Path**: just-walking/mynlp

## Basic Information

- **Project Name**: mynlp
- **Description**: 一个高性能、模块化、可扩展的中文NLP工具包 https://mynlp.mayabot.com/
- **Primary Language**: Java
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 4
- **Created**: 2022-10-11
- **Last Updated**: 2022-10-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

= Mynlp: 高性能、可扩展的中文NLP工具包
:version: 4.0.0
:icons: font

image:https://img.shields.io/github/license/mayabot/mynlp.svg[]
image:https://maven-badges.herokuapp.com/maven-central/com.mayabot.mynlp/mynlp/badge.svg[link=https://maven-badges.herokuapp.com/maven-central/com.mayabot.mynlp/mynlp]
image:https://img.shields.io/github/release/mayabot/mynlp/all.svg[link=https://github.com/mayabot/mynlp/releases/latest]
image:https://img.shields.io/github/repo-size/mayabot/mynlp[link=https://github.com/mayabot/mynlp]
image:https://img.shields.io/github/issues-raw/mayabot/mynlp.svg[link=https://github.com/mayabot/mynlp/issues]

image::https://cdn.mayabot.com/mynlp/mynlp-banner.png[,500,align=center,link=https://mynlp.mayabot.com]

[NOTE]
访问完整在线文档link:https://mynlp.mayabot.com/[ mynlp.mayabot.com]

== QQ群（2）：747892793

== 安装

该章节介绍如何安装和简单使用mynlp的基础功能。

mynlp已经发布在Maven中央仓库中，所以只需要在Maven或者Gradle中引入mynlp.jar依赖即可。

.Gradle
[subs="attributes+"]
----
compile 'com.mayabot.mynlp:mynlp:{version}'
----

.Maven
[source,xml,subs="attributes+"]
----
<dependency>
  <groupId>com.mayabot.mynlp</groupId>
  <artifactId>mynlp</artifactId>
  <version>{version}</version>
</dependency>
----

因为资源文件较大，所以mynlp.jar包默认不包括资源文件（词典和模型文件）依赖。

懒人方案，通过引用mynlp-all依赖默认提供的资源词典，满足大部分需求。

.依赖 mynlp-all
[subs="attributes+"]
----
compile 'com.mayabot.mynlp:mynlp-all:{version}'
----

=== 词典和模型资源

.词典&模型资源列表
[cols="6,^1,^1,4"]
|===
|Gradle 坐标 | mynlp-all依赖 |文件大小 |说明

|com.mayabot.mynlp.resource:mynlp-resource-coredict:1.0.0
|Y
|18.2M
|核心词典（20w+词，500w+二元）

|com.mayabot.mynlp.resource:mynlp-resource-pos:1.0.0
|Y
|17.5M
|词性标注模型（感知机模型）

|com.mayabot.mynlp.resource:mynlp-resource-ner:1.0.0
|Y
|13.4M
|命名实体识别（人名识别、其他NER）

|com.mayabot.mynlp.resource:mynlp-resource-pinyin:1.1.0
|Y
|272K
|拼音词典、拼音切分模型

|com.mayabot.mynlp.resource:mynlp-resource-transform:1.0.0
|Y
|478K
|繁简体词典

|com.mayabot.mynlp.resource:mynlp-resource-cws:1.0.0
|N
|62.4M
|感知机分词模型

|com.mayabot.mynlp.resource:mynlp-resource-custom:1.0.0
|N
|2.19M
|自定义扩展词库

|===

根据实际的需要，按需引入资源包。

[source]
.一个Gradle引用的例子
----
compile 'com.mayabot.mynlp:mynlp:3.2.0'

// 核心词典
implementation 'com.mayabot.mynlp.resource:mynlp-resource-coredict:1.0.0'

// 词性标注
implementation 'com.mayabot.mynlp.resource:mynlp-resource-pos:1.0.0'

// 命名实体
implementation 'com.mayabot.mynlp.resource:mynlp-resource-ner:1.0.0'

// 拼音
implementation 'com.mayabot.mynlp.resource:mynlp-resource-pinyin:1.1.0'

// 繁简体转换
implementation 'com.mayabot.mynlp.resource:mynlp-resource-transform:1.0.0'

// 感知机分词模型
//   implementation 'com.mayabot.mynlp.resource:mynlp-resource-cws:1.0.0'

// 自定义扩展词库
//   implementation 'com.mayabot.mynlp.resource:mynlp-resource-custom:1.0.0'
----


== 访问完整在线文档

link:https://mynlp.mayabot.com/[mynlp.mayabot.com]

== 致谢以下优秀开源项目

- HanLP
- ansj_seg

mynlp实现参考了他们算法实现和部分代码