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Word memory method and device based on graphic context and machine learning

A machine learning, contextual technology, applied in the field of foreign language learning, which can solve the problem of not considering the importance of words

Inactive Publication Date: 2016-05-11
魏骁勇
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, its memory objects are meaningless symbols, without considering the importance of each word in actual use

Method used

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  • Word memory method and device based on graphic context and machine learning
  • Word memory method and device based on graphic context and machine learning
  • Word memory method and device based on graphic context and machine learning

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Experimental program
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Embodiment Construction

[0063] The present invention can be implemented in any high-level programming language on a personal computer (PC), a mobile phone, or a tablet computer. Among them, the human-computer interaction in the process of word query, review and testing can be realized through interfaces such as mouse clicks, keyboard input, and finger swiping (on mobile phones and tablets). At present, the prototype version has adopted the combination of C# and C++ to realize the computer application program, and the system background adopts SQLLite database storage, and the human-computer interaction interface is shown in the figure below.

[0064] A word memory method based on context context and machine learning is characterized in that comprising the following steps:

[0065] 1) The query does not understand the word;

[0066] 2) The system calls the learned database, finds synonyms, antonyms, similar words and importance of the searched word, and displays it to the user in a graphical context; ...

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Abstract

The invention relates to the field of foreign language learning aided by machine learning and provides word remembering method and device based on context and machine learning. The device is characterized in that synonyms, antonyms, similar words and importance degree of each word are automatically presented graphically so as to establish a context related environment for each word to help a user more visually remember the word; the device is capable of automatically recognizing memory ability, memory cycle and weakness words (the words the most difficult to member for users) for users so as to automatically select words to be memorized and make review calendars for the users, and efficient memorizing is achieved. Testing of forty users for two years shows that the user using the device can memorize more than 10000 words each year averagely, up to 30000 words.

Description

technical field [0001] The invention relates to the field of foreign language learning assisted by machines, and provides a method and device for memorizing words based on context and machine learning. Background technique [0002] The current mainstream word memory system usually expresses the meaning of words in the form of words. It is more effective to memorize words in context. This is the conclusion that linguistic scholars have drawn for many years. This system expresses the context of words in an intuitive graphic way, which can better help users remember images. In addition, the current mainstream intelligent word memory systems are all developed according to the HermannEbbinghaus forgetting curve. However, the HermannEbbinghaus forgetting curve is a model obtained in 1886 based on HermannEbbinghaus himself memorizing a set of meaningless symbols. Therefore, the model itself only represents the memory ability of HermannEbbinghaus himself, ignoring the differences ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G09B5/00
Inventor 魏骁勇杨震群
Owner 魏骁勇