A ranking method, storage device and mobile terminal for word awareness

A technology of a storage device and a mobile terminal, applied in the field of computer communication, can solve the problems of limited application range, sorting error, ignoring word difficulty and patent field, etc.

Active Publication Date: 2021-04-20
清远墨墨教育科技有限公司
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Problems solved by technology

[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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  • A ranking method, storage device and mobile terminal for word awareness

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Embodiment Construction

[0054] The specific embodiment of the present invention is described further below:

[0055] like 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 higher...

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Abstract

The invention discloses a ranking method for word recognition, which is suitable for execution in an intelligent mobile terminal. The intelligent mobile terminal is provided with a database, and the database contains vocabulary and user IDs for learning and operating these vocabulary. The method Including the following steps: S1: count the number of user IDs, S2: determine word recognition S3: insert new words and reorder: S3‑1, word C and word A are compared and sorted separately; S3‑2, word C and word B are compared and sorted Separate comparison and sorting; S4: sorting judgment of all words; S5: repeat step S4 until all the thesauruses in the database are sorted. The present invention sorts the recognition degree of words by collecting the learning feedback data of users, and according to the data analysis, the recognition degree of the word with a large number of feedback is defaulted to be higher, and a large number of data statistics are repeated to sort to improve the word recognition degree. Accuracy of word recognition ranks.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2457G06F16/2458G06F16/248G06Q50/20
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
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