semvec/pypi-packages huggingface dataset:
apachecn-html-css-zh-pt3 2022.3.5.0
ApacheCN HTML 和 CSS 译文集（三）
Requires Python: >=3.6

# ApacheCN HTML 和 CSS 译文集（三）

> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 利欲驱人万火牛，江湖浪迹一沙鸥。——陆游《秋思》

* [在线阅读](https://htcs3.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/doc-template/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)

## 贡献指南

本项目需要校对，欢迎大家提交 Pull Request。

> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/apachecn-html-css-zh-pt3](https://github.com/apachecn/apachecn-html-css-zh-pt3) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](https://www.apachecn.org/#/docs/join) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/apachecn-html-css-zh-pt3
docker run -tid -p <port>:80 apachecn0/apachecn-html-css-zh-pt3
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install apachecn-html-css-zh-pt3
apachecn-html-css-zh-pt3 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g apachecn-html-css-zh-pt3
apachecn-html-css-zh-pt3 <port>
# 访问 http://localhost:{port} 查看文档
```

## 其它协议

霞鹜文楷采用 [SIL 开放字体协议 1.1](https://github.com/lxgw/LxgwWenKai/blob/main/SIL_Open_Font_License_1.1.txt)。

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
UzLemma 1.0
Uzbek Lemmatizer for Python
Requires Python: >=3.6

# UzLemma
A Uzbek language lemmatizer for Python

All studies on uzbek language stems have a common statement: stemming of Uzbek language is hard. Uzbek is an agglutinative language with a highly rich morphological structure. Uzbek words are composed of a stem and of affix(es). In Uzbek language, there is two form of affixes: prefixes and suffixes. Affixes are affixed to the stem according to definite grammatical rules. In addition, both stem and affixes may be transformed according to the harmony rules. Those rules and their exceptions make stemming harder for Uzbek texts. For more about stemming Uzbek language please see the article titled "UZBEK AFFIX FINITE STATE MACHINE FOR STEMMING."

All text analysis studies require a stemmer at one point. This Python code attempts to stem Uzbek words with a simple approach. It first extracts syllables of the given word and then tries to identify the stem by comparing syllables with a list of affixes and their allomorphs. If any affix is identified it is removed and then remaining word is searched in a list of Uzbek words. If there is a match in the word list, it is returned as the stem. Otherwise function reiterates with the new word. If it can't stem, it returns the given word.

Once the functions are loaded into Python environment you can begin to stem by using <code>stem</code> function: <pre>stem("maktablarimizning")</pre>