# NLPIR-python A python wrapper and toolkit for NLPIR
nlpir-python 是一个 [NLPIR](https://github.com/NLPIR-team/NLPIR>) 的python调用包
nlpir-python is a python wrapper for NLPIR modules.
[](https://nlpir-python.readthedocs.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/nlpir-python)
- Documentation: https://nlpir-python.rtfd.io
- Github: https://github.com/NLPIR-team/nlpir-python
- Support: https://github.com/NLPIR-team/nlpir-python/issues
- Free software: [MIT license](http://opensource.org/licenses/MIT)
## About
本模块提供两种调用方式:
This package includes two level of method:
##### 1. Native call from Dynamic Link Library(DLL) 原生的直接调用DLL的调用方式
These methods are native method directory from DLL, you can easily use them if you are familiar with the NLPIR modules.
原生方法是直接调用的NLPIR中的api,并进行了部分简化处理,和python化.
``` python
from nlpir.native import ICTCLAS
test_str = "法国启蒙思想家孟德斯鸠曾说过：“一切有权力的人都容易滥用" \
"权力，这是一条千古不变的经验。有权力的人直到把权力用到" \
"极限方可休止。”另一法国启蒙思想家卢梭从社会契约论的观点" \
"出发，认为国家权力是公民让渡其全部“自然权利”而获得的，" \
"他在其名著《社会契约论》中写道：“任何国家权力无不是以民" \
"众的权力（权利）让渡与公众认可作为前提的”。"
ictclas = ICTCLAS()
ictclas.paragraph_process(test_str, 0)
```
##### 2. High-level pythonic method 整合后的更加Python的调用方式
However, the native methods are not very friendly to the beginners. These methods provide a wrapper and tools for the
native call, make it easier to use.
然而,对于一般用户来说,原生api功能强大但是却不是很友好.这里nlpir-python对原生api就行包装, 并提供了一些工具方法,使其更利于使用.
``` python
from nlpir import ictclas, tools
tools.update_license()
test_str = "法国启蒙思想家孟德斯鸠曾说过：“一切有权力的人都容易滥用" \
"权力，这是一条千古不变的经验。有权力的人直到把权力用到" \
"极限方可休止。”另一法国启蒙思想家卢梭从社会契约论的观点" \
"出发，认为国家权力是公民让渡其全部“自然权利”而获得的，" \
"他在其名著《社会契约论》中写道：“任何国家权力无不是以民" \
"众的权力（权利）让渡与公众认可作为前提的”。"
for word, pos in ictclas.segment(test_str, pos_tagged=True):
print(word, pos)
```
**NOTE**: This module only support python3.6+
**NOTE**: This repo use the git-lfs, please install lfs when pull this repo
## Supported Table
| | Native | Native Doc | Native Test | High-Level | High-Level Doc | High-Level Test | Tutorial |
| ---- | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
| ICTCLAS | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
| NewWordFinder | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| KeyExtract | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| Summary | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| SentimentNew | ✔ | ✔ | ✍ | | | | |
| SentimentAnalysis | ✔ | ✔ | ✍ | ✔ | ✔ | | |
| Classify | ✔ | ✔ | ✍ | | | | |
| DeepClassify | ✔ | ✔ | ✍ | | | | |
| Cluster | ✔ | ✔ | | ✔ | ✔ | | |
| EyeChecker | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| DocCompare | | | | | | | |
| DocExtractor | ✔ | ✔ | | ✔ | ✔ | | |
| DocParser | | | | | | | |
| iEncoder | | | | | | | |
| HTMLParser | | | | | | | |
| KeyScanner | ✔ | ✔ | | ✔ | ✔ | | |
| RedupRemover | | | | | | | |
| SpellChecker | | | | | | | |
| SplitSentence | | | | | | | |
| TextSimilarity | ✔ | ✍ | | ✔ | ✔ | | |
| Word2vec | | | | | | | |
Raw data
{
"_id": null,
"home_page": "",
"name": "nlpir-python",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": "",
"keywords": "nlpir,nlp,Chinese word segmentation,ictclas,CWS",
"author": "yangyaofei, LingJoin Co.,Ltd.",
"author_email": "yangyaofei@gmail.com",
"download_url": "",
"platform": "win32",
"description": "# NLPIR-python A python wrapper and toolkit for NLPIR\n\nnlpir-python \u662f\u4e00\u4e2a [NLPIR](https://github.com/NLPIR-team/NLPIR>) \u7684python\u8c03\u7528\u5305\n\nnlpir-python is a python wrapper for NLPIR modules.\n\n[](https://nlpir-python.readthedocs.io/en/latest/?badge=latest)\n[](https://badge.fury.io/py/nlpir-python)\n\n\n- Documentation: https://nlpir-python.rtfd.io\n- Github: https://github.com/NLPIR-team/nlpir-python\n- Support: https://github.com/NLPIR-team/nlpir-python/issues\n- Free software: [MIT license](http://opensource.org/licenses/MIT)\n\n## About\n\n\u672c\u6a21\u5757\u63d0\u4f9b\u4e24\u79cd\u8c03\u7528\u65b9\u5f0f:\n\nThis package includes two level of method:\n\n##### 1. Native call from Dynamic Link Library(DLL) \u539f\u751f\u7684\u76f4\u63a5\u8c03\u7528DLL\u7684\u8c03\u7528\u65b9\u5f0f\n\nThese methods are native method directory from DLL, you can easily use them if you are familiar with the NLPIR modules.\n\n\u539f\u751f\u65b9\u6cd5\u662f\u76f4\u63a5\u8c03\u7528\u7684NLPIR\u4e2d\u7684api,\u5e76\u8fdb\u884c\u4e86\u90e8\u5206\u7b80\u5316\u5904\u7406,\u548cpython\u5316.\n\n``` python\n from nlpir.native import ICTCLAS\n test_str = \"\u6cd5\u56fd\u542f\u8499\u601d\u60f3\u5bb6\u5b5f\u5fb7\u65af\u9e20\u66fe\u8bf4\u8fc7\uff1a\u201c\u4e00\u5207\u6709\u6743\u529b\u7684\u4eba\u90fd\u5bb9\u6613\u6ee5\u7528\" \\\n \"\u6743\u529b\uff0c\u8fd9\u662f\u4e00\u6761\u5343\u53e4\u4e0d\u53d8\u7684\u7ecf\u9a8c\u3002\u6709\u6743\u529b\u7684\u4eba\u76f4\u5230\u628a\u6743\u529b\u7528\u5230\" \\\n \"\u6781\u9650\u65b9\u53ef\u4f11\u6b62\u3002\u201d\u53e6\u4e00\u6cd5\u56fd\u542f\u8499\u601d\u60f3\u5bb6\u5362\u68ad\u4ece\u793e\u4f1a\u5951\u7ea6\u8bba\u7684\u89c2\u70b9\" \\\n \"\u51fa\u53d1\uff0c\u8ba4\u4e3a\u56fd\u5bb6\u6743\u529b\u662f\u516c\u6c11\u8ba9\u6e21\u5176\u5168\u90e8\u201c\u81ea\u7136\u6743\u5229\u201d\u800c\u83b7\u5f97\u7684\uff0c\" \\\n \"\u4ed6\u5728\u5176\u540d\u8457\u300a\u793e\u4f1a\u5951\u7ea6\u8bba\u300b\u4e2d\u5199\u9053\uff1a\u201c\u4efb\u4f55\u56fd\u5bb6\u6743\u529b\u65e0\u4e0d\u662f\u4ee5\u6c11\" \\\n \"\u4f17\u7684\u6743\u529b\uff08\u6743\u5229\uff09\u8ba9\u6e21\u4e0e\u516c\u4f17\u8ba4\u53ef\u4f5c\u4e3a\u524d\u63d0\u7684\u201d\u3002\"\n ictclas = ICTCLAS()\n ictclas.paragraph_process(test_str, 0)\n```\n\n##### 2. High-level pythonic method \u6574\u5408\u540e\u7684\u66f4\u52a0Python\u7684\u8c03\u7528\u65b9\u5f0f\n\nHowever, the native methods are not very friendly to the beginners. These methods provide a wrapper and tools for the\nnative call, make it easier to use.\n\n\u7136\u800c,\u5bf9\u4e8e\u4e00\u822c\u7528\u6237\u6765\u8bf4,\u539f\u751fapi\u529f\u80fd\u5f3a\u5927\u4f46\u662f\u5374\u4e0d\u662f\u5f88\u53cb\u597d.\u8fd9\u91ccnlpir-python\u5bf9\u539f\u751fapi\u5c31\u884c\u5305\u88c5, \u5e76\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5de5\u5177\u65b9\u6cd5,\u4f7f\u5176\u66f4\u5229\u4e8e\u4f7f\u7528.\n\n``` python\n from nlpir import ictclas, tools\n tools.update_license()\n test_str = \"\u6cd5\u56fd\u542f\u8499\u601d\u60f3\u5bb6\u5b5f\u5fb7\u65af\u9e20\u66fe\u8bf4\u8fc7\uff1a\u201c\u4e00\u5207\u6709\u6743\u529b\u7684\u4eba\u90fd\u5bb9\u6613\u6ee5\u7528\" \\\n \"\u6743\u529b\uff0c\u8fd9\u662f\u4e00\u6761\u5343\u53e4\u4e0d\u53d8\u7684\u7ecf\u9a8c\u3002\u6709\u6743\u529b\u7684\u4eba\u76f4\u5230\u628a\u6743\u529b\u7528\u5230\" \\\n \"\u6781\u9650\u65b9\u53ef\u4f11\u6b62\u3002\u201d\u53e6\u4e00\u6cd5\u56fd\u542f\u8499\u601d\u60f3\u5bb6\u5362\u68ad\u4ece\u793e\u4f1a\u5951\u7ea6\u8bba\u7684\u89c2\u70b9\" \\\n \"\u51fa\u53d1\uff0c\u8ba4\u4e3a\u56fd\u5bb6\u6743\u529b\u662f\u516c\u6c11\u8ba9\u6e21\u5176\u5168\u90e8\u201c\u81ea\u7136\u6743\u5229\u201d\u800c\u83b7\u5f97\u7684\uff0c\" \\\n \"\u4ed6\u5728\u5176\u540d\u8457\u300a\u793e\u4f1a\u5951\u7ea6\u8bba\u300b\u4e2d\u5199\u9053\uff1a\u201c\u4efb\u4f55\u56fd\u5bb6\u6743\u529b\u65e0\u4e0d\u662f\u4ee5\u6c11\" \\\n \"\u4f17\u7684\u6743\u529b\uff08\u6743\u5229\uff09\u8ba9\u6e21\u4e0e\u516c\u4f17\u8ba4\u53ef\u4f5c\u4e3a\u524d\u63d0\u7684\u201d\u3002\"\n\n for word, pos in ictclas.segment(test_str, pos_tagged=True):\n print(word, pos)\n\n```\n\n**NOTE**: This module only support python3.6+\n\n**NOTE**: This repo use the git-lfs, please install lfs when pull this repo\n\n## Supported Table\n\n| | Native | Native Doc | Native Test | High-Level | High-Level Doc | High-Level Test | Tutorial | \n| ---- | :----: | :----: | :----: | :----: | :----: | :----: | :----: | \n| ICTCLAS | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 |\n| NewWordFinder | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | |\n| KeyExtract | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | |\n| Summary | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | |\n| SentimentNew | \u2714 | \u2714 | \u270d | | | | |\n| SentimentAnalysis | \u2714 | \u2714 | \u270d | \u2714 | \u2714 | | |\n| Classify | \u2714 | \u2714 | \u270d | | | | |\n| DeepClassify | \u2714 | \u2714 | \u270d | | | | |\n| Cluster | \u2714 | \u2714 | | \u2714 | \u2714 | | |\n| EyeChecker | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | \u2714 | |\n| DocCompare | | | | | | | |\n| DocExtractor | \u2714 | \u2714 | | \u2714 | \u2714 | | |\n| DocParser | | | | | | | |\n| iEncoder | | | | | | | |\n| HTMLParser | | | | | | | |\n| KeyScanner | \u2714 | \u2714 | | \u2714 | \u2714 | | |\n| RedupRemover | | | | | | | |\n| SpellChecker | | | | | | | |\n| SplitSentence | | | | | | | |\n| TextSimilarity | \u2714 | \u270d | | \u2714 | \u2714 | | |\n| Word2vec | | | | | | | |\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "NLPIR-python A python wrapper and toolkit for NLPIR",
"version": "0.9.15.1",
"project_urls": null,
"split_keywords": [
"nlpir",
"nlp",
"chinese word segmentation",
"ictclas",
"cws"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4eaf2565186341275fd76eb7470205fecd49fee19e2561e29c671aa87eacdadb",
"md5": "bf9cfca64f7a660561845600ef335a6b",
"sha256": "ba72b4e9006f7d00583ef324a374da6a1dd1016b63f79347f7f14bdc1ab36c0f"
},
"downloads": -1,
"filename": "nlpir_python-0.9.15.1-py3-none-macosx_10_9_x86_64.whl",
"has_sig": false,
"md5_digest": "bf9cfca64f7a660561845600ef335a6b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 54960142,
"upload_time": "2023-08-16T05:29:15",
"upload_time_iso_8601": "2023-08-16T05:29:15.850004Z",
"url": "https://files.pythonhosted.org/packages/4e/af/2565186341275fd76eb7470205fecd49fee19e2561e29c671aa87eacdadb/nlpir_python-0.9.15.1-py3-none-macosx_10_9_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "dc72b4664b99c0267c9a109442029c682e7e77b1a72ffb719e68c609a56a7034",
"md5": "505ec0c475d1f72e8c7cd3a626186497",
"sha256": "c8313998c10315a0745f63cdbed306f61b8676f0b3fc0bfa1508366b9ae9cc8b"
},
"downloads": -1,
"filename": "nlpir_python-0.9.15.1-py3-none-macosx_11_0_x86_64.whl",
"has_sig": false,
"md5_digest": "505ec0c475d1f72e8c7cd3a626186497",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 54960140,
"upload_time": "2023-08-16T05:29:20",
"upload_time_iso_8601": "2023-08-16T05:29:20.513890Z",
"url": "https://files.pythonhosted.org/packages/dc/72/b4664b99c0267c9a109442029c682e7e77b1a72ffb719e68c609a56a7034/nlpir_python-0.9.15.1-py3-none-macosx_11_0_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "310eaa901fada7f6abaaba4b587bd4f268dc4484e783c26e1b0fca112afc6117",
"md5": "4aefe69bf0b2e55d28e62e9b0989e817",
"sha256": "694ff2b38f9a6b3a30b8dfd58e176f6fa2ede738e1898648b0a8ce49408423b7"
},
"downloads": -1,
"filename": "nlpir_python-0.9.15.1-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "4aefe69bf0b2e55d28e62e9b0989e817",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 65643353,
"upload_time": "2023-08-16T05:29:25",
"upload_time_iso_8601": "2023-08-16T05:29:25.137220Z",
"url": "https://files.pythonhosted.org/packages/31/0e/aa901fada7f6abaaba4b587bd4f268dc4484e783c26e1b0fca112afc6117/nlpir_python-0.9.15.1-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c65798c380647464d16fb53dae770e2265a091b8f2c685cbb3c33251c7c0f3c4",
"md5": "5c3cd0ac2c26e58227e8ff5323e6d0c6",
"sha256": "91126730a2f85d4aff1838d642f28cf310cf52c3cd2748178715dd059ec23223"
},
"downloads": -1,
"filename": "nlpir_python-0.9.15.1-py3-none-manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "5c3cd0ac2c26e58227e8ff5323e6d0c6",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 64150072,
"upload_time": "2023-08-16T05:29:29",
"upload_time_iso_8601": "2023-08-16T05:29:29.829642Z",
"url": "https://files.pythonhosted.org/packages/c6/57/98c380647464d16fb53dae770e2265a091b8f2c685cbb3c33251c7c0f3c4/nlpir_python-0.9.15.1-py3-none-manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3a4dec8a5e13eb854bc7bf72586e152c09a36980cc490d9ba5b607273383e952",
"md5": "c6aacc964b243c37119d69dbf858516c",
"sha256": "181f032426967ec37a7679876cb206a4bcd236d6537f4112e011bc9c54d23929"
},
"downloads": -1,
"filename": "nlpir_python-0.9.15.1-py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "c6aacc964b243c37119d69dbf858516c",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 61818723,
"upload_time": "2023-08-16T05:29:34",
"upload_time_iso_8601": "2023-08-16T05:29:34.462914Z",
"url": "https://files.pythonhosted.org/packages/3a/4d/ec8a5e13eb854bc7bf72586e152c09a36980cc490d9ba5b607273383e952/nlpir_python-0.9.15.1-py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-16 05:29:15",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "nlpir-python"
}
JSON