Multi-iteration folding vocabulary hierarchical classification method and system

Abstract

The invention relates to a multi-iteration folding vocabulary hierarchical classification method and a multi-iteration folding vocabulary hierarchical classification system. The hierarchical classification method comprises the following steps: calculating the use frequency of each to-be-classified vocabulary; arranging the to-be-classified vocabularies in an ascending order according to the use frequency of the to-be-classified vocabularies, and marking serial numbers; according to the total number of the to-be-classified vocabularies and the field to which the to-be-classified vocabularies belong, determining a level number and an iteration threshold value; initializing a candidate boundary threshold value of each level, wherein the candidate boundary threshold value of each level is the total number of the to-be-classified vocabularies; performing iterative query on the to-be-classified vocabularies according to the candidate boundary threshold value of each level, the serial number of the to-be-classified vocabularies and an iterative threshold value to obtain a boundary threshold value of each level; and obtaining hierarchical classification of the vocabulary to be classified according to the boundary threshold value of each hierarchy. According to the method, the word frequency is taken as a reference, the occurrence frequency of large-class vocabularies is higher than the occurrence frequency of small-class vocabularies, and the vocabulary hierarchy is divided in a loop iteration folding mode, so that the division efficiency is improved, and the hierarchy division is accurate.

Description

technical field [0001] The invention relates to the field of vocabulary classification, in particular to a multi-iterative double-fold vocabulary hierarchical classification method and system. Background technique [0002] There are a large number of vocabularies in each specific field, and these vocabularies need to be quickly divided into layers to facilitate related research and analysis. At present, in the study of vocabulary and the discussion of vocabulary method theory, relatively fruitful results have been made and some achievements have been made. However, there are still some problems in the research and analysis of vocabulary. For example, the basic unit of vocabulary research should be What is it, whether the members of the vocabulary in the language are on the same plane, whether the vocabulary should be studied in layers instead of "cooking in one pot", how to practice the research on the layered vocabulary, the necessity and value of the layered vocabulary res...

AI Technical Summary

Problems solved by technology

[0004] Using artificial methods to classify vocabulary levels based on existing experience requires people to search for corresponding levels of vocabulary in a large number of vocabularies, which is inefficient.

As the number of vocabulary increases, the artificial influence on the division of vocabulary levels will increase, and there will be a certain bit error rate

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