中文分词的基本原理

The basic principles of Chinese word segmentation

（1）字符串匹配分词法。

(1) String matching segmentation method.

该分词法又分为正向大匹配法、反向大匹配法和短路径分词法。

This segmentation method is further divided into forward large matching method, reverse large matching method, and short path segmentation method.

举个例子：

For example:

“不知道你在说什么”：采用正向大匹配法分词结果是“不知道，你，在，说什么”。反向大匹配法分词结果是“不，知道，你在，说，什么”。短路径分词结果是“不知道，你在，说什么”。

"I don't know what you're saying": The result of using the positive big matching method for word segmentation is "I don't know what you're saying.". The result of the reverse big matching method for word segmentation is "no, I know, you're here, say, what". The result of short path segmentation is "I don't know, what are you saying?".

（2）词义分词法。

(2) Semantic segmentation.

这种分词法其实就是一种机器判断分词方法。原理很简单，就是行句法、语义分析，然后利用句法信息和语义信息来处理歧义现象从而达到分词的目的。

This segmentation method is actually a machine judgment segmentation method. The principle is very simple, which is to first perform syntactic and semantic analysis, and then use syntactic and semantic information to handle ambiguity and achieve the goal of word segmentation.

（3）统计分词法。

(3) Statistical word segmentation.

这种分词法很简单，就是根据词组的统计，根据两个相邻的字出现的频率的多少来确定这个词的重要性以达到分词的目的。

This segmentation method is very simple, which is to determine the importance of a word based on the frequency of its occurrence, according to the statistics of phrases, in order to achieve the goal of segmentation.

中文分词的SEO优化方法

SEO optimization methods for Chinese word segmentation

中文分词是按照关键词的组合进行拆分，用户在搜索某个关键词时，搜索引擎的做法是先返回用户搜索的整个关键词，然后再返回拆分后的关键词结果。

Chinese word segmentation is based on the combination of keywords. When a user searches for a certain keyword, the search engine's approach is to first return the entire keyword searched by the user, and then return the split keyword result.

也就是说中文分词的优化更多的将那些被分隔之后多个关键词重新组合成另一个可以包含他们的一个新关键词，这样做的原因是：①可以避免关键词堆砌，②增加多个关键词信息，③一个关键词带有更多的信息量。

That is to say, the optimization of Chinese word segmentation focuses more on recombining multiple separated keywords into a new keyword that can contain them. The reason for doing so is: ① to avoid keyword stacking, ② to increase the information of multiple keywords, and ③ to add more information to one keyword.

中文分词SEO优化注意事项

Chinese word segmentation SEO optimization considerations

（1）信息量领域要高度相关。

(1) The field of information content should be highly relevant.

有时候为了将一个关键词的信息量大限度的挖掘，可能会进行一些错误的组合，这样的优化可能没有什么用，反而对优化不利。

Sometimes, in order to maximize the information content of a keyword, incorrect combinations may be made, which may not be useful and may be detrimental to optimization.

信息量是达到了想要的数量，但是精准度却太过于分散，这样不利于关键词的权重集中。

The amount of information has reached the desired level, but the accuracy is too scattered, which is not conducive to the concentration of keyword weights.

（2）页面关键词和分词不相关。

(2) The page keywords and segmentation are not related.

在标题的关键词里面分词做得很，但是页面中却没有相关的分词，这样对于其中的某些分词就不会有什么效果。

The segmentation in the keywords of the title is excellent, but there are no relevant segmentation on the page, so it will not have much effect on some of the segmentation.

（3）内容优化做精准关键词，避免使用分词优化。

(3) Optimize content with precise keywords and avoid using segmentation optimization.

一般情况下，我建议在做长尾词优化时避免使用中文分词，除了首页、栏目列表和特定的内容聚合专题页，一般不建议使用分词。

In general, I suggest avoiding using Chinese word segmentation when optimizing long tail words. Except for the homepage, column list, and specific content aggregation topic pages, it is generally not recommended to use word segmentation.

原因是分词的优化有难度，对于一般的编辑或长尾词页面，我们应该集中精力去做一个关键词就行，要是涵盖的信息量太多，就会分散我们想要优化关键词的权重。

The reason is that optimizing word segmentation is difficult. For general editing or long tail word pages, we should focus on creating a keyword. If the amount of information covered is too much, it will scatter the weight of the keywords we want to optimize.