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online_fengci

于 2020-06-11 发布
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说明:  对现存的主流分词方法进行了分析和比较,对前人的成果和经验进行了研究和改进,设计实现了一个基于词典和统计方法的在线中文分词系统。本文系统使用了基于一种主流分词方法的经典算法,双向最大匹配法。这种方法能够将正向最大匹配法得到的分词结果和逆向最大匹配法得到的结果进行比较,从而决定正确的分词方法。这类算法的优点是速度快,时间复杂度为O(n),实现简单。本系统为用户提供了一个中文分词的在线平台,有文本分词,输入分词内容,实时显示分词结果等功能可供使用,本系统在切词准确度和速度上的表现较为良好,基本完成了中文分词的工作,提供了较好的用户体验。本文系统的创新点在于,将python语言作为开发语言,并选择了较为热门的web框架Flask作为开发在线系统的框架,实现了一个在线中文分词系统。目的是方便用户进行分词,并实时观测结果。(This paper analyzes and compares the existing mainstream word segmentation methods, studies and improves the previous achievements and experiences, and designs and implements an online Chinese word segmentation system based on dictionary and statistical methods. In this paper, a classical algorithm based on a mainstream word segmentation method, bi-directional maximum matching method, is used. This method can compare the result of forward maximum matching method with that of reverse maximum matching method, so as to determine the correct segmentation method. This kind of algorithm has the advantages of high speed, O (n) time complexity and simple implementation.)

文件列表:

.idea, 0 , 2020-05-26
.idea\inspectionProfiles, 0 , 2020-04-18
.idea\inspectionProfiles\profiles_settings.xml, 174 , 2020-04-18
.idea\misc.xml, 310 , 2020-04-18
.idea\modules.xml, 285 , 2020-04-18
.idea\online_fengci.iml, 715 , 2020-04-18
.idea\workspace.xml, 10657 , 2020-05-26
__pycache__, 0 , 2020-05-25
__pycache__\app.cpython-37.pyc, 1172 , 2020-05-25
__pycache__\BiMM.cpython-37.pyc, 650 , 2020-04-18
__pycache__\BMM.cpython-37.pyc, 799 , 2020-04-18
__pycache__\FMM.cpython-37.pyc, 774 , 2020-04-18
__pycache__\utils.cpython-37.pyc, 496 , 2020-04-18
app.py, 808 , 2020-05-25
BiMM.py, 1109 , 2018-07-21
BMM.py, 1210 , 2020-04-18
dic, 0 , 2020-05-25
dic\dic.txt, 4635405 , 2020-05-25
FMM.py, 1129 , 2020-04-18
static, 0 , 2020-04-23
static\css, 0 , 2020-05-25
static\css\base.css, 458 , 2020-04-23
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static\css\bootstrap.min.css, 117310 , 2015-06-16
static\css\index.less, 316 , 2020-04-23
static\css\loginstyle.css, 5533 , 2020-05-25
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