Method and system for intelligently inputting Chinese characters

Abstract

The invention discloses a method and a system for intelligently inputting Chinese characters, wherein the method comprises the following steps: setting a universal word stock as a basic word stock, a classified word stock generated through counting according to trade and information classes and a keyword word stock with the key words hoped to be recommended to a user; when the user inputs codes, judging trade class and information class input by the user, and checking whether the classified word stock of the trade class or information class exists; if so, then determining to perform subsequent inquiry operation in the classified word stock; and otherwise, performing the subsequent inquiry operation in the universal word stock; inquiring words conforming to the codes input by the user in the determined word stock, and sequencing the words according to the used frequency of the words from high to low; displaying a plurality of previous words in a forward key word display bar of an inputmethod in sequence; and inquiring the words with the codes conforming to the codes input by the user in the key word stock, and displaying the previous words in a backward key word display bar. The method can effectively support the Chinese character input in a characteristic field, reduce the choice of the user, and provide the information input speed.

Description

technical field [0001] The invention relates to the technical field of information input, in particular to an intelligent Chinese character input method and system. Background technique [0002] In the field of information input, current Chinese character input methods mainly contain 2 kinds: input Chinese characters with common Chinese character input methods such as Pinyin and Wubi and directly input simplified spelling of Chinese characters. However, when applied to a specific field, due to the frequent input of a large number of business vocabulary in this industry, there are many inconveniences in utilizing the existing common input method, and its limitations are: [0003] 1) When inputting, it is necessary to memorize a large amount of relevant business content (such as preferred merchants, etc.), which increases the difficulty of user training and takes up a lot of valuable manpower. [0004] 2) Due to the uncertainty of memory, there may be omissions and deviations...

AI Technical Summary

Problems solved by technology

However, when applied to a specific field, due to the frequent input of a large number of business vocabulary in this industry, there are many inconveniences in utilizing the existing common input method, and its limitations are:

[0003] 1) When inputting, it is necessary to memorize a large amount of relevant business content (such as preferred merchants, etc.), which increases the difficulty of user training and takes up a lot of valuable manpower

[0004] 2) Due to the uncertainty of memory, there may be omissions and deviations for related information such as merchants, which is a challenge to the service quality of information services

[0005] 3) With ordinary input methods, since there is no filtering and screening of vocabulary in specific business scenarios, the existence of a large amount of irrelevant redundant information reduces the speed of information input

[0006] 4) Using the direct input method of simplified Chinese characters, although the input speed is much faster, but because the input is only the first character of simplified spelling, there must be a lot of redundancy in the returned results of the information

[0008] With the development of business models and the increase of labor costs, in the field of manual information services, it is increasingly required to improve the efficiency of Chinese character input by information personnel (such as operators), which requires information personnel to quickly input query conditions (such as keywords) at the same time. ), but also to master a large amount of relevant business information, the burden on users is very heavy

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