The rapid development of the Internet in the 21st century has made people's lives more and more convenient. When the increasing amount of information dazzles us, the emergence of search engines allows us to quickly find the answers we want. Therefore, knowing more about search engine word segmentation algorithms can give your website a better chance of being displayed on search engines. Before explaining Chinese word segmentation technology, let’s first understand full-text search technology.
Full text search technology
Full-text retrieval means that the indexing program scans each word in the article and establishes a corresponding index, recording the position and number of occurrences of the word. When a query is made via a search engine, the retrieval program searches the record's index and returns it to the user. Full-text retrieval is divided into word-based full-text indexing and word-based full-text indexing. The word-based full-text index will index and record each word in the content. This method has a high recall rate, but a low accuracy rate, especially for Chinese. Sometimes when searching for Mark, results for Marx will be listed. Word-based full-text indexing records a word as a unit and can handle synonyms. Search engines have their own lexicon. When users search, the search engine will extract keywords from the lexicon as index items, which can greatly improve the accuracy of retrieval.
Chinese word segmentation technology
Everyone has always been familiar with Baidu, which has its own Chinese word segmentation technology. Generally used include forward maximum matching, reverse maximum matching, best matching method, expert system method, etc. Among them, maximum forward matching is the most commonly used word segmentation solution. It uses a mechanical algorithm to segment Chinese words by establishing a dictionary and performing forward maximum matching. For example, if you search for "Where is Peking University?", many of the returned results are web pages containing words such as Peking University and Peking University. The search engine uses forward maximum matching to judge and treats Peking University as a word to index records. and return. Of course, forward maximum matching also has incompleteness. For example, search engines sometimes cannot accurately segment words that are too long, or cannot accurately segment words that are related to each other before and after. For example, "when combined into molecules" will be returned as combination, component, and subtime, and sometimes the keyword we want is "molecule".
Many times, Baidu will split the words according to the weight of the words in its vocabulary. The calculation of the weight is based on various aspects of life and is relatively complicated. What the search engine has to do is to return the results that users want most. Sometimes webmasters have to stand on the basis of building a website. Thinking about the problem from the perspective of the user is actually also considering the problem from the perspective of the search engine. When determining the target keywords or long-tail keywords, you can choose them based on the principle of Chinese word segmentation, which can minimize wasted effort. .
The principles of word segmentation are constantly changing and updating. We should continue to learn. Only by mastering the essence can we grasp the essence.
This article comes from Shenzhen Website Construction. The original address is: http://www.68160.com . Everyone is welcome to communicate with me. In the future, I will continue to share with you about more word segmentation technologies, especially more applications of Chinese word segmentation technology.
Thanks to Shenzhen Website Construction for your contribution