Ranking method of word cognition degrees, storage device and mobile terminal
A storage device and mobile terminal technology, applied in the field of computer communication, can solve the problems of sorting errors, ignoring the difficulty of words and patent fields, and a limited scope of application, and achieve the effects of improving accuracy, high practicability, and easy operation.
Active Publication Date: 2018-11-20
清远墨墨教育科技有限公司
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[0003] The ranking of existing word awareness all adopts the word frequency sorting method (that is, the word is sorted by the frequency of occurrence in ordinary reading), and the word frequency sorting method is the most commonly used, but there are still some defects, for example, its scope of application is not Wide, without considering the difficulty of words and patent fields, so there will be some errors in sorting
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[0054] The specific embodiment of the present invention is described further below:
[0055] Such as figure 1 As shown, a ranking method of word awareness is suitable for execution in an intelligent mobile terminal, the intelligent mobile terminal is provided with a database, the database contains vocabulary and user IDs for learning and operating these vocabulary, and the user passes the user ID login, you can learn the vocabulary of the database, and you can choose to recognize or not recognize the words you see during the learning process. The method includes the following steps:
[0056] S1: Count the number of user IDs: randomly select two words A and B from the vocabulary in the database, count the total number T of user IDs who have learned words A and B at the same time, and then obtain the number X of user IDs who know word A, and get the recognized word B's user ID number Y, where T>100, if the total T is less than 100, the word will not be sorted, which ensures hig...
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The invention discloses a ranking method of word cognition degrees, which is suitable for execution in a smart mobile terminal. The smart mobile terminal is provided with a database, and the databasecontains words and user IDs for learning these words. The method comprises the following steps: S1: performing statistics on the number of the user IDs, S2: judging the word cognition degrees; S3: inserting new words, and performing re-sorting: S3-1, performing single comparing and sorting on a word C and a word A; S3-2, performing single comparing and sorting on the word C and a word B; S4: judging the sequence of all words; and S5: repeating the step 4 all the time until all word libraries in the database are sorted. According to the ranking method disclosed by the invention, the learning feedback data of the users are collected, the word cognition degrees are sorted according to data analysis, it is defaulted that a word with a large cognition number has a relatively high cognition degree, and the accuracy of sorting the word cognition degrees is improved by a large amount of data statistics and repeated sorting.
Description
technical field [0001] The invention belongs to the field of computer communication, and in particular relates to a ranking method for word recognition, a storage device and a mobile terminal. Background technique [0002] The recognition degree of a word refers to the degree of recognition of a word by most learners. The general learning lexicon will sort the recognition degree of the words in the thesaurus, and will push it to the Learners learn. [0003] The ranking of existing word awareness all adopts the word frequency sorting method (that is, the word is sorted by the frequency of occurrence in normal reading), and the word frequency sorting method is the most commonly used, but there are still some defects, for example, its scope of application is not Wide, without considering the difficulty of words and patent fields, so there will be some errors in the sorting. Therefore, a new word ranking method is needed to improve the accuracy of word recognition ranking. C...
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IPC IPC(8): G06F17/30G06Q50/20
CPCG06Q50/205
Inventor 林楠徐王子浩朱欣健谭锦钿曹译珑
Owner 清远墨墨教育科技有限公司