Chinese character string similarity calculation method and device based on phonetic and morphological codes

Abstract

The phonetic-morphological codes comprise phonetic codes and morphological codes, the phonetic codes are composed of digital codes of initial consonants and final consonants, and the morphological codes are composed of four-corner codes, structure codes and stroke numbers of Chinese characters; the mapping rule of the phonetic and morphological codes and the pronunciation similarity of part of initial consonants/finals are pre-stored, and the method comprises the steps: receiving two character strings to be compared; reading a mapping rule of phonetic and morphological codes, and converting each Chinese character in the two character strings into phonetic and morphological code representation according to the mapping rule; based on the initial consonant/final pronunciation similarity, calculating an editing distance between every two corresponding substrings of the two character strings by adopting the editing distance; and calculating the similarity of the two character strings according to the editing distance. According to the method, the character string is converted into the phonetic and morphological code numeric string for comparison, the Chinese character matching precisionis improved, and on the other hand, the editing distance of the Chinese character is used for replacing the weight of the editing distance, so that the similarity of the character string can be calculated more accurately.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps simplify phonetic shapes by representing them through specific patterns called features (folds). These pattern elements help distinguish similar parts from each others better than just their original forms like letters) while still being able to represent complex symbols without having too many unnecessary details. By comparing these two representations, we get clearer understanding about how they are related to eachother's form. Overall, our innovative solution enhances the precision and consistency of Chinese Character Characters when converted to English Hindi Shapes Code format.

Problems solved by technology

This patented technical solution describes how we want to match words like English by comparing their appearance differences beforehand instead of directly copying each word into its own dictionary. While traditional methods have limitations they provide, there was developed a new way called editing distance algorithms. These techniques allow us to identify parts of speech that look very much alike without being copied too far apart. By measuring these matches accurately, researchers could better interpret what people mean differently even if only looking through phrases alone.

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