ChineseWordSegmentationSystem

A Chinese word segmentation system, mainly based on HMM.

The component of UI is implemented with Flask as a local website.

How to start?

• Fork this repository or download all the files.
• Run pip install -r requirements.txt to install all the dependency needed.
• Run python "FlaskUI/FlaskUI.py" runserver to start the website locally.
• Vist 127.0.0.1:5000 in the browser.

Quite easy, isn't it?

Some possible issues?

• For Windows users, if you fail to Run pip install -r requirements.txt:

  • Make sure that you have installed pip properly and added its directory to the PATH environment variable.
  • If your system's default encoding is not UTF-8, for example, GBK, do as follows:
    1. Edit the file Python36\Lib\site-packages\pip\compat\__init__.py.
    2. Replace return s.decode('utf-8')(line 75 ) with return s.decode('gbk').

• The website doesn't look the same as the pictures?

  • Make sure that your computer has access to the Internet, as the website needs to load CSS from CDN.

• Others?

  • Open a new issue and it will be responded as soon as possible.

How does it work?

• Train the HMM model with the data in TrainingSet and get three matrix:
  • InitStatus
  • TransProbMatrix
  • EmitProbMatrix
• When segmenting words, load these matrix and cut the whole text into sentences to process.
• Use Viterbi algorithm to find the most possible status of every character in a sentence.
• According to the status, segment the sentence.
• As for the Flask UI, it uses Flask-Bootstrap, Flask-WTF and Flask-Script to build a local website.
• UPDATE: The latest version combines HMM with Maximum Matching Algothm.

How well does it work?

• Well, I have to admit, the accuracy of segmentation is not satisfying enough.
• F1 Score:
  • pku_test: 0.763 --> 0.829(the latest version)
  • msr_test: 0.793 --> 0.889(the latest version)
• As comparision, F1 Score of Jieba(a famous Python Chinese word segmentation module):
  • pku_test: 0.818
  • msr_test: 0.815
• For more information, see Result/

How does it look like?

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Reference

When doing this project, I refer to quite a few articles on the Internet and some books. Some of them are listed as follows:

• 中文分词的python实现-基于HMM算法 - CSDN博客
• 中文分词之HMM模型详解 - CSDN博客
• Flask Web Development: Developing Web Applications with Python (Miguel Grinberg)
• Flask Documentation (0.12)
• Bootstrap 教程 | 菜鸟教程

With my sincere gratitude!