How does Chinese word segmentation help SEO optimization
Source: Shangpin China |
Type: website encyclopedia |
Date: June 23, 2012
SEO Service and technology can be roughly divided into: Beijing SEO Beijing SEO service. Corporate website optimization service, private website optimization service, search engine website service, search engine website optimization, etc. So SEO optimization can not be done without the use of word segmentation technology skilled use of word segmentation to understand each SEOER elective course on search engine websites! In English, words are separated by spaces. While Chinese characters are based on characters, and all the characters in a sentence can connect to describe a meaning. For example, the English sentence "Iama student" in Chinese is: "a student" The computer can easily know a word of student through the blank space, but it is not easy to understand that the word can only be expressed when the two words "student" are combined. The segmentation of Chinese characters into meaningful words is called Chinese character segmentation. Some people also call it segmentation. Beijing SEO service, the final result of participle is Beijing SEO service Up to now, there are three mainstream Chinese character segmentation algorithms: 1 Word segmentation method based on string matching According to a certain strategy, the Chinese string to be analyzed is matched with the words in a "sufficiently large machine dictionary", which is also called the mechanical word segmentation method. If a string is found in the dictionary, the matching is successful (a word is distinguished). According to the different directions of electronic scanning, string matching word segmentation methods can be divided into positive matching and reverse matching; According to the situation that different lengths take precedence over matching, it can be divided into maximum (longest) matching and minimum (shortest) matching; According to whether it is connected with the process of verbal manifestation, it can be divided into naive segmentation method and integrated segmentation method. Several commonly used mechanical word segmentation methods are as follows: 1 Positive maximum matching method (from left to right) 2 Reverse maximum matching method (from right to left) 3 Minimal segmentation (making the number of words cut out in each sentence the smallest) For example, various methods mentioned above can be combined with each other. The forward maximum matching prescription dispensing method and the reverse maximum matching prescription dispensing method can be combined to form a two-way matching method. Because of the unique features of Chinese words, positive minimum matching and reverse minimum matching are seldom used. Generally speaking, the segmentation precision of reverse matching is slightly higher than that of positive matching, and there are fewer multiple meaning phenomena. The final counting result shows that the error rate of naive use of positive maximum matching is 1/169. The error rate of naive use of reverse maximum matching is 1/245, but this precision is far from satisfying the actual demand. The actual word segmentation system takes mechanical word segmentation as a preliminary separation segment, and further increases the accuracy of segmentation by using various other language information. It is called characteristic mark electronic scanning or micro recording segmentation. One way is to improve the electronic scanning form. Give priority to distinguishing and cutting out a few words with outward appearance characteristics in the string to be analyzed. These words can be used as breakpoints to divide the original string into smaller strings and then enter the mechanical word segmentation, thus reducing the error rate of matching. Another way is to combine word segmentation and word class display, and use the vast word class information to help with word segmentation decisions. In addition, in the process of display, the final result of word segmentation is checked and debugged in turn, so that the accuracy of segmentation is greatly increased. Can set up a common board, for mechanical segmentation method. There are professional academic papers in this field, and no detailed narrative analysis is done here. 2 Word segmentation method based on understanding Achieve the effect of distinguishing words. Its basic idea is to perform syntactic and semantic analysis at the same time of word segmentation. This method of word segmentation is to make computer models personify the rhetorical way to interpret sentences. Using syntactic information and semantic information to deal with a variety of meaning phenomena. Generally, it covers three parts: word segmentation subsystem, syntactic and semantic subsystem, and master control part. Under the coordination of the overall control and local control, the word segmentation subsystem can obtain the syntactic and semantic information of related words, sentences, etc. to judge the multiple meanings of the word segmentation, that is, it mimics the process of human understanding of sentences. This segmentation method needs to use a large amount of language knowledge and information. Because of the generality and complexity of Chinese language knowledge, it is difficult to group all kinds of language information into a way that can be directly read by the machine, because so far this word segmentation system based on understanding is still in the trial stage. 3 Counting based word segmentation method Words are the combination of words. Because in the context, the more times adjacent words are exposed at the same time, the more likely they are to form a word. Because the frequency or probability of the adjacent co-occurrence of the word can better reflect the credibility of the word. You can count the frequency of combinations of adjacent words in the corpus to calculate their mutual occurrence information. Define the mutual occurrence information of two words, and calculate the adjacent co occurrence probability of two Chinese XYs. Mutual information represents the emergency level of the joint relationship between Chinese. When the urgency is greater than a certain threshold, it can be seen that this word group may constitute a word. This method only needs to count the frequency of word groups in the corpus, and does not need to segment the dictionary. Therefore, it is also called dictionary free word segmentation or counting method. However, this method also has some limitations. It will often extract some common words that are not words but have a high co occurrence frequency. For example, there are many "this one" words. Moreover, the precision of distinguishing common words is poor and the time and space cost is high. In practical application, the counting and word segmentation system should use a basic word segmentation dictionary (dictionary of common words) to implement string matching word segmentation. At the same time, the counting method should be used to distinguish a few new words, and the string frequency counting and string matching should be combined, which not only displays the unique features of the speed and speed of the matching word segmentation, but also uses the context of word segmentation without a dictionary to distinguish unknown words Semi automatic elimination of the advantages of multiple meanings. What assistance does word segmentation technology have in SEO optimization? SEO optimization process is completely inseparable from word segmentation technology as a help! Take Shanghai SEO as a comparison: Search engine website optimization service, Beijing SEO service network assists companies or private websites to provide high-quality website optimization service and website planning. SEO-SH Beijing SEO Optimization Service Network centering on SEO optimization service and website planning and marketing) This article was published in Beijing Website construction Company Shangpin China //ihucc.com/
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