Semantic analysis data hashing storage and analysis methods for input system

Abstract

The invention provides a semantic analysis data hashing storage method for an input system, which comprises the following steps: 1) presetting a key mapping table so as to establish mapping relationships among code elements and numbers in each key; 2) establishing a data set where the mapping relationships exist between first information and second information and setting a key value for each record; 3) allocating a plurality of storage areas of which each correspondingly stores one key value list; 4) analyzing the code elements of the first recorded information in the data set, converting the first information into a numeric string according to the mapping relationships in the key mapping table and converting the numeric string into pointer identifiers of a corresponding number pointing to the plurality of storage areas according to preset splitting rules; and 5) storing the key values of the records subjected to the pointer identifier conversion into the key value lists of the storage areas pointed by the pointer identifiers. In addition, the invention also provides a corresponding analysis method. The methods have the advantage of laying the foundation for improvement on the intelligence of a human-computer interaction system.

Description

technical field [0001] The invention relates to the field of human-computer interaction, in particular to a hash storage and analysis method for input system semantic analysis data. Background technique [0002] A traditional input system, especially a system composed of input method software in a mobile terminal, uses a variety of input method rules to form words for the user's key operations, and the relevant character strings after word formation are provided to other software for corresponding processing. In the world, due to differences in languages, multiple characters (languages) appear, correspondingly there are multiple input rules, and even the same character (language) also has multiple different input rules. For example, in the Chinese input method, the well-known, A variety of input rules including Wubi, Pinyin, Zhengma, natural code, location code, etc. can be used to construct Chinese characters. [0003] In view of the particularity of the small size of the ...

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Problems solved by technology

[0010] However, the difficult problem is not limited to the above macroscopic description. As we all know, the semantic analysis data constructed by fuzzy thinking has a complex mapping relationship, and the code elements of the traditional input system (each used to construct words defined by the input rules Basic key input, such as a, b, c, d, e... etc.) and the mapping relationship between the combination and the word is relatively simple, how to make the semantic analysis data well integrated into the input system, so as to realize the access The efficiency of the time is the direction that the applicant has been striving for

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