An input method and system for tagging keywords

Abstract

The invention provides an input method and system for tagging keywords, which belong to the technical field of computers and software. The method includes: step 1, collecting character information input by the user in the input interface; step 2, judging whether the word corresponding to the user input information can constitute a keyword; step 3, adding keyword annotation to the keyword; step 4, collecting The user inputs the keyword annotation, and calls out the keyword from the candidate word list in the input interface. The present invention can quickly find the final word result required by the user by extracting and labeling the character information input by the user, and performing a separate matching search in the keyword thesaurus, and overcomes the preferred word hit rate of the existing input method It is not high, which leads to the disadvantages of slowing down the user's input speed, reducing the input efficiency, and poor user experience.

Description

technical field [0001] The invention belongs to the field of computer and software technology. Background technique [0002] The current input method system inevitably has the problem that the same code corresponds to multiple candidate words. Take the Pinyin input method as an example, such as: Pinyin Jiajia input method, Ziguang Huayu Pinyin input method, etc. These existing input methods are all It is based on its thesaurus and word frequency (frequency of use of words) in the thesaurus to provide users with the ranking of candidate words during the information input process, and to display the most frequently used words with the highest word frequency first, that is, the preferred word. The ranking of candidate words is an important indicator of the hit rate of the user's preferred words in the process of information input. The hit rate of the preferred words means that after the user inputs certain keyboard information, the words, phrases or sentences ranked first are ...

AI Technical Summary

Problems solved by technology

In practice, the probability that the user obtains the desired result by selecting the candidate word using the existing input method is much higher than the probability of directly obtaining the effective preferred word, which shows that the hit rate of the preferred word in the existing input method is not high. High, resulting in slower user input speed, lower input efficiency, and poor user experience, especially when the user inputs a lot of pinyin at one time, the number of candidate words that the user needs to select will be more, and the process will be more cumbersome

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