Input method and input system based on labeling specific to a keyword

Abstract

The invention provides an input method and an input system based on labeling specific to a keyword, belonging to the technical fields of computers and software. The input method comprises the steps of: 1, collecting character information input by a user in an input interactive interface; 2, judging whether a word corresponding to the information input by the user can constitute a keyword or not; 3, adding a keyword label to the keyword; and 4, collecting the label of the keyword input by the user and calling out the keyword from a candidate word list of the input interactive interface. According to the invention, by means of carrying out keyword extracting and labeling on the character information input by the user and single matching search in a keyword bank, a final word result required by the user can be found out rapidly, and the defects of reduced input speed, reduced input efficiency and poor user experience of the user due to low hit rate of preferred words in the traditional input method are overcome.

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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