Method for grading Chinese electronic document reading on the Internet

Abstract

The invention discloses a method for grading Chinese electronic document reading on the Internet, comprising firstly determining the frequency distributions of Chinese characters, word groups and sentence structure indexes in different grades of documents; selecting the Chinese characters and the word groups for grading document reading, and avoiding the interference of often-used words and little-used words, then analyzing the word composition of a to-be-graded target document, analyzing the document to be a two-tuple vector (of words and occurrence number); calculating the sentence structure indexes of the document comprising an average paragraph length, an average sentence length, the length difference between the longest sentence and the shortest sentence and the like; and finally using the Naive Bayes method for determining the reading grade of the document based on the word composition information and the sentence structure information of the Chinese document. The reading grade of a Chinese electronic document is efficiently determined by analyzing the Chinese characters and word group composition of the document, combining with the sentence structures of the document, reasoning from the frequency distribution of each word and the structure indexes in different reading grades of documents and applying the Naive Bayes method.

Description

technical field [0001] The invention relates to a method for grading reading of Chinese electronic documents, especially for the increasing popularity of electronic documents in the Internet age, and the reading levels need to be divided to be suitable for reading by users of different age levels or Chinese mastery levels. Background technique [0002] With the rapid development of the Internet and the increasing popularity of smart phones, tablet computers, and other portable electronic devices, electronic documents have increasingly become the main object of people's daily reading. Teenagers have become one of the mainstream groups for reading electronic documents; in addition, Chinese learning has become a popular trend abroad, and a large number of foreign Chinese learners also learn Chinese through electronic documents. All of these require a reasonable definition of the reading level of electronic documents, so that readers can choose appropriate Chinese electronic doc...

AI Technical Summary

Problems solved by technology

Using this type of information is more effective for ideographic languages, but has not yet been applied to reading grades for Chinese documents

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