Word auxiliary learning method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application provide a word auxiliary learning method, device, electronic equipment and storage medium. The word auxiliary learning method comprises: determining read information of a target user; determining the number of occurrences of a word to be learned in the read information, the word to be learned being a word related to learning of the target user; generating learning information corresponding to a target word in the word to be learned, the target word being a word to be learned whose number of occurrences is greater than a preset number threshold; and assisting the target user in learning based on the learning information. The method of the present application can generate learning information of a target word in the determined read information, thereby improving the efficiency of identifying a word to be learned without manual identification of the word. In addition, embodiments of the present application provide a word auxiliary learning device, electronic equipment and storage medium.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of computer technology, and more specifically, the embodiments of the present invention relate to methods, apparatus, electronic devices and storage media for assisting in word and phrase learning. Background Technology

[0002] This section is intended to provide background or context for embodiments of the invention as set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] With the rapid development of the electronic information industry, portable electronic consumer products, such as electronic dictionaries, mobile phones, or personal digital assistants, are becoming increasingly popular, and people's demands for the functions of these products are also rising. Furthermore, people's reading habits are changing accordingly.

[0004] Currently, some libraries and schools have electronic picture books. When students read these books, they often encounter words or phrases they've learned in textbooks, or words or phrases the electronic book aims to reinforce. These are marked by the user. However, current technology often relies on manual selection and labeling of words and phrases during the book's creation process for children's reinforcement. This method is time-consuming and labor-intensive, resulting in low efficiency. Summary of the Invention

[0005] This application provides a word-aided learning method, device, electronic device, and storage medium to solve the problem of low efficiency in the existing technology of manually identifying words.

[0006] Therefore, there is a great need for an improved vocabulary learning tool so that the platform can promptly mark important words and phrases and assist users in learning them.

[0007] In this context, embodiments of the present invention aim to provide a word-aided learning method.

[0008] In a first aspect of the present invention, a word-assisted learning method is provided, comprising:

[0009] Determine the target user's read information;

[0010] Determine the frequency of occurrence of the words to be learned in the read information; the words to be learned are those related to the target user's learning.

[0011] Generate learning information corresponding to the target word in the words to be learned, wherein the target word is the word to be learned whose occurrence frequency is greater than a preset frequency threshold;

[0012] The target user is assisted in learning based on the learning information.

[0013] In one embodiment of the present invention, determining the read information of the target user includes:

[0014] Determine the reading goals of the target users;

[0015] Identify the reading content within the stated reading target;

[0016] The reading content whose reading time exceeds a preset time is identified as the read information.

[0017] In one embodiment of the present invention, before determining the target user's read information, the method further includes:

[0018] Obtain the login information of the target user, the login information including the target user's learning stage information;

[0019] From the preset word library, words related to the information of the learning stage are identified as the words to be learned.

[0020] In one embodiment of the present invention, generating learning information corresponding to the target word in the words to be learned includes:

[0021] Generate the assessment information corresponding to the target words;

[0022] Generate an assessment window and configure the assessment information in the assessment window;

[0023] The assessment window containing the assessment information is identified as the learning information.

[0024] In one embodiment of the present invention, the step of assisting the target user with learning based on the learning information includes:

[0025] Display the learning information;

[0026] Obtain feedback information from the target user regarding the learning information;

[0027] The feedback information is verified to obtain the verification result;

[0028] When the verification result is a verification failure, the answer information corresponding to the learning information is displayed.

[0029] In one embodiment of the present invention, after verifying the feedback information and obtaining the verification result, the method further includes:

[0030] The learning information and its corresponding verification results are statistically analyzed to obtain statistical results.

[0031] Based on the statistical results, evaluation information for the target user is generated, which is used to indicate the target user's learning progress on the target words.

[0032] In one embodiment of the present invention, displaying the learning information includes:

[0033] Determine the difficulty level of the target words;

[0034] The learning information corresponding to the target words is displayed in order of increasing difficulty.

[0035] In a second aspect of the present invention, a word-assistance learning device is provided, comprising:

[0036] The first determination module is used to determine the target user's read information;

[0037] The second determining module is used to determine the number of times the words to be learned appear in the read information, wherein the words to be learned are words related to the target user's learning.

[0038] The generation module is used to generate learning information corresponding to the target words in the words to be learned, wherein the target words are the words to be learned whose occurrence frequency is greater than a preset frequency threshold;

[0039] The learning module is used to assist the target user in learning based on the learning information.

[0040] In a third aspect of the present invention, an electronic device is provided, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus.

[0041] The memory is used to store computer programs;

[0042] The processor is used to execute the program stored in the memory to implement the word-assisted learning method described in the first aspect.

[0043] In a fourth aspect of the present invention, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the word-assisted learning method described in the first aspect.

[0044] According to embodiments of the present invention, a method, apparatus, electronic device, and storage medium for assisting word learning can determine the target user's read information; determine the frequency of occurrence of the words to be learned in the read information, wherein the words to be learned are words related to the target user's learning; generate learning information corresponding to target words in the words to be learned, wherein the target words are the words to be learned whose frequency of occurrence is greater than a preset threshold; and provide assisted learning to the target user based on the learning information. Thus, without manual identification by relevant personnel, after determining the read information, the words to be learned can be directly determined from the read information, and learning information can be generated based on target words with high frequency of occurrence, thereby enabling the target user to reinforce the learning of the words to be learned during the reading process. Attached Figure Description

[0045] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated in the drawings by way of example and not limitation, wherein:

[0046] Figure 1 The diagram illustrates an application scenario of the word-assisted learning method according to an embodiment of the present invention.

[0047] Figure 2 A flowchart illustrating a word-assisted learning method according to an embodiment of the present invention is shown schematically.

[0048] Figure 3 A schematic diagram of a word-aided learning device according to an embodiment of the present invention is shown.

[0049] Figure 4 A schematic diagram of an electronic device according to an embodiment of the present invention is shown.

[0050] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts. Detailed Implementation

[0051] The principles and spirit of the invention will now be described with reference to several exemplary embodiments. It should be understood that these embodiments are given merely to enable those skilled in the art to better understand and implement the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided to make this disclosure more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art. Invention Overview

[0053] The inventors have discovered that some libraries and schools provide electronic picture books. While reading these books, students often encounter words and phrases they've learned in textbooks, or words and phrases they want to reinforce in the electronic picture book. These words and phrases are marked for the user. Current technologies often rely on manual selection and marking of words and phrases during the book's creation process for children's reinforcement and learning. This method is time-consuming and labor-intensive, resulting in low efficiency. Therefore, there is an urgent need for a method that can automatically mark words and phrases to be learned and assist users in their vocabulary acquisition.

[0054] After introducing the basic principles of the present invention, various non-limiting embodiments of the present invention will be described in detail below.

[0055] Application Scenarios Overview

[0056] According to one embodiment of this application, a method for assisting in word and phrase learning is provided. Optionally, in this embodiment, the above-mentioned method for assisting in word and phrase learning can be applied to, for example... Figure 1 The hardware environment shown consists of terminal 101 and server 102. For example... Figure 1 As shown, server 102 is connected to terminal 101 via a network and can be used to provide services (such as video services, application services, etc.) to the terminal or clients installed on the terminal. A database can be set up on the server or independently of the server to provide data storage services for server 102. The aforementioned network includes, but is not limited to, wide area network, metropolitan area network or local area network. Terminal 101 is not limited to PC, mobile phone, tablet computer, electronic dictionary or personal digital assistant, etc.

[0057] The word-assisted learning method of this application embodiment can be executed by server 102, terminal 101, or jointly by server 102 and terminal 101. Specifically, the word-assisted learning method of this application embodiment can be executed by terminal 101, or by a client installed on it.

[0058] For example, taking this method applied to a terminal, when a user needs to read an article, they can select the article they want to read from the terminal's database. The terminal then displays the article, and the user reads the displayed content. Based on the user's reading behavior, the terminal determines the content of the articles the user has already read, i.e., the read information. By analyzing and processing the read information, the terminal identifies the target words within the read information, thereby generating learning information corresponding to those target words, and using this learning information to assist the user's learning.

[0059] Exemplary methods

[0060] The following is combined Figure 1 Application scenarios, refer to Figure 2 This description illustrates a word-aided learning method according to exemplary embodiments of the present invention. It should be noted that the above application scenarios are shown only to facilitate understanding of the spirit and principles of the invention, and the embodiments of the invention are not limited in any way. Rather, the embodiments of the invention can be applied to any applicable scenario.

[0061] One embodiment of this application provides a word-aided learning method, which can be applied to any type of electronic device, such as terminals and servers. Figure 2 As shown, the auxiliary learning methods for this word include:

[0062] Step 201: Determine the target user's read information.

[0063] In some embodiments, when a target user reads content on a terminal, they leave corresponding reading traces, such as reading time and marking certain words. Based on this, content with reading traces or all content displayed on the terminal can be considered as read information.

[0064] Furthermore, during the reading process, some users may only skim through the content without reading it carefully. Therefore, it is necessary to filter the reading content. For example, based on the reading traces mentioned above, we can filter to obtain the information of what the user has actually read.

[0065] Specifically, determining the target user's read information includes:

[0066] Determine the reading goal of the target user; identify the reading content in the reading goal; determine the reading content whose reading time is longer than a preset time as the read information.

[0067] The reading target can be any article or any e-book selected by the user from the article list on the terminal. After determining the reading target, the reading content, i.e., the article content, can be extracted first, and the read-awareness information can be determined based on the reading time of the content. In this embodiment, reading content with a reading time longer than a preset time is used as read-awareness information, which can use the portion actually read by the user as learning content, thereby improving the accuracy of learning information generation.

[0068] There are several ways to identify reading content. For example, it can be text recognition or using SRT (subtitle generation) to extract all the text from the reading content.

[0069] The preset duration can be set based on actual conditions. For example, the preset duration can be set according to the number of words displayed per page on the terminal, making the number of words displayed per page directly proportional to the preset duration. For instance, when there are 200 words per page, the preset duration is set to 1 minute; when there are 300 words per page, the preset duration is set to 1.5 minutes.

[0070] It is understandable that the read information mentioned above could be information read by the target user within a recent period. For example, all information read by the target user within the last three days.

[0071] Step 202: Determine the frequency of occurrence of the words to be learned in the read information. The words to be learned are words related to the target user's learning.

[0072] In some embodiments, the words to be learned can be words from a pre-set vocabulary library. By determining the number of times the words to be learned appear in the read information, the learning progress of the target user on the words to be learned can be further determined.

[0073] Understandably, the more times a word or phrase appears, the better the student is perceived to be learning it.

[0074] In an optional embodiment, before determining the target user's read information, the method further includes:

[0075] Obtain the login information of the target user, which includes the learning stage information of the target user; determine the words related to the learning stage information from a preset word library as the words to be learned.

[0076] In some embodiments, to improve the accuracy of learning information generation, users log in to the terminal before reading. The terminal obtains the target user's login information, which includes the target user's learning stage information. Therefore, based on this learning stage information, appropriate words to be learned can be matched for the target user. For example, if the target user's learning stage is grade 3, words from grade 3 and earlier are extracted from a preset word library and used as words to be learned, achieving the purpose of consolidation and advance learning.

[0077] The preset vocabulary database can be a database of vocabulary words needed at different learning stages. This preset vocabulary database can be, but is not limited to, those from the People's Education Press textbook and other versions of textbooks.

[0078] Step 203: Generate learning information corresponding to the target word in the words to be learned, wherein the target word is the word to be learned that appears more than a preset threshold number of times.

[0079] In some embodiments, after determining the number of times the word to be learned appears in the information read by the target user, it is possible to determine whether the word to be learned has been learned by the target user based on the number of times it appears. Generally, if the number of times the word to be learned appears is greater than a preset threshold, it is determined that it has been learned by the target user, and it is taken as the target word, and learning information of the target word is generated.

[0080] Learning information can be presented in a gamified way to enhance the learning process. For example, it could be a word recognition quiz or a word card drop system.

[0081] The preset number of attempts threshold can be set based on actual circumstances, such as the target user's learning stage. The higher the target user's learning stage, the lower the preset number of attempts threshold. For example, if the target user is in grade 2, the preset number of attempts threshold can be set to 6 times; if the target user is in grade 9, the preset number of attempts threshold can be set to 3 times.

[0082] In an optional embodiment, generating learning information corresponding to the target word in the words to be learned includes:

[0083] Generate assessment information corresponding to the target words; generate an assessment window and configure the assessment information in the assessment window; determine that the assessment window configured with the assessment information is the learning information.

[0084] In some embodiments, the assessment information may be the pronunciation or writing of the target words. For example, the target words may be displayed, and the target user may fill in or read out the pronunciation of the target words; or the pronunciation of the target words may be displayed, and the target user may fill in the writing of the target words.

[0085] The assessment window can be generated immediately after the target words are determined, or it can be generated uniformly in the same assessment window after the number of target words reaches a certain number. When configuring assessment information for multiple target words in the assessment window, the target words can be stored first, and then, once the number of target words reaches a certain level, the stored target words can be generated as a list within the assessment window.

[0086] Step 204: Provide assisted learning to the target user based on the learning information.

[0087] In some embodiments, after generating learning information, the terminal displays the learning information, allowing the target user to learn based on this information. Thus, without manual identification by relevant personnel, after confirming read information, the words to be learned can be directly identified from the read information, and learning information can be generated based on frequently occurring target words. This allows the target user to reinforce their learning of the words to be learned during the reading process.

[0088] In an optional embodiment, the step of assisting the target user with learning based on the learning information includes:

[0089] Display the learning information; obtain feedback information from the target user regarding the learning information; verify the feedback information to obtain a verification result; if the verification result indicates a verification failure, display the answer information corresponding to the learning information.

[0090] In some embodiments, after displaying learning information, the target user can perform reinforcement learning based on the displayed information by inputting the pronunciation or writing of the target word, and receive feedback information. After receiving the feedback information, the terminal can verify it to determine whether the target user's input pronunciation or writing is correct, and obtain a verification result. If the verification is successful, it indicates that the target user has mastered the target word. If the verification fails, the answer information corresponding to the learning information is displayed on the terminal, allowing the target user to learn again, thereby achieving the purpose of reinforcement learning.

[0091] In an optional embodiment, after verifying the feedback information and obtaining the verification result, the method further includes:

[0092] The learning information and its corresponding verification results are statistically analyzed to obtain statistical results; based on the statistical results, evaluation information for the target user is generated, and the evaluation information is used to indicate the target user's learning progress on the target words.

[0093] In some embodiments, by statistically analyzing the verification results of the learning information, it is possible to determine whether the target user answered the learning information correctly or incorrectly. Then, evaluation information is generated based on the statistical results so that the target user can understand their mastery of the target words.

[0094] The evaluation information can be the target user's score for the verification results of the learning information. For example, 1 point is awarded for each correct answer and no points are awarded for each incorrect answer. Based on the verification results, the target user's total score is obtained.

[0095] It is understandable that the evaluation information may also include learning information and answer information for the target words that the target user failed to verify, in order to enable the target user to learn multiple times.

[0096] In an optional embodiment, displaying the learning information includes:

[0097] Determine the difficulty level of the target words; display the learning information corresponding to the target words in order of increasing difficulty.

[0098] In some embodiments, the difficulty level of the target words can be obtained from a preset word library. When generating the preset word library, the difficulty level is configured based on the learning stage of the words. For example, words before grade 3 are configured as easy difficulty, words from grades 3-6 are configured as medium difficulty, and words from grade 6 and above are configured as difficult difficulty.

[0099] Understandably, when the target words are at the same difficulty level, the learning information can be displayed in order of increasing number of strokes in the target words.

[0100] The vocabulary learning method described in this application allows users to access vocabulary while reading in a library. The platform analyzes the vocabulary database of the People's Education Press textbook and the text database of each picture book, while also analyzing the user's reading behavior on the platform. This automatically determines which vocabulary the user has accumulated at what time and in what context, displays it, and provides interactive challenges, offering an effective solution for further mastery of characters, words, and sentences. Furthermore, it saves the cost of manually selecting characters, words, and sentences, making the questions more flexible. Matching the content of the read picture books with the textbook, and combining this with the user's reading behavior for analysis, display, and challenges, allows parents to have a more comprehensive understanding of their child's literacy progress, especially when the user is a student. In addition, learning information is presented in a gamified way, such as through flashcards, making the learning process more engaging. It can also adaptively adjust the reading approach to enhance and reinforce vocabulary based on each user's different reading abilities.

[0101] Exemplary device

[0102] Based on the same concept, this application provides a word-aided learning device. The specific implementation of this device can be found in the description of the method embodiments section; repeated details will not be repeated here. Figure 3 As shown, the device mainly includes:

[0103] The first determining module 301 is used to determine the read information of the target user;

[0104] The second determining module 302 is used to determine the number of times the words to be learned appear in the read information, wherein the words to be learned are words related to the target user's learning.

[0105] The generation module 303 is used to generate learning information corresponding to the target word in the words to be learned, wherein the target word is the word to be learned whose occurrence frequency is greater than a preset frequency threshold;

[0106] The learning module 304 is used to assist the target user in learning based on the learning information.

[0107] Exemplary device

[0108] Based on the same concept, this application also provides an electronic device, such as... Figure 4 As shown, the electronic device mainly includes a processor 401, a memory 402, and a communication bus 403. The processor 401 and the memory 402 communicate with each other via the communication bus 403. The memory 402 stores programs that can be executed by the processor 401. The processor 401 executes the programs stored in the memory 402 to achieve the following steps:

[0109] Determine the target user's read information;

[0110] Determine the frequency of occurrence of the words to be learned in the read information; the words to be learned are those related to the target user's learning.

[0111] Generate learning information corresponding to the target word in the words to be learned, wherein the target word is the word to be learned whose occurrence frequency is greater than a preset frequency threshold;

[0112] The target user is assisted in learning based on the learning information.

[0113] The communication bus 403 mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 403 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0114] The memory 402 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor 401.

[0115] The processor 401 mentioned above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc., or a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0116] The electronic device provided in this application embodiment can specifically be a module capable of communication functions or a terminal device containing such a module. The terminal device can be a mobile terminal or a smart terminal. Specifically, a mobile terminal can be at least one of a mobile phone, tablet computer, or laptop computer; a smart terminal can specifically be a smart car, smartwatch, shared bicycle, smart cabinet, or other terminal containing a wireless communication module; and the module can specifically be a wireless communication module, such as any one of a 2G communication module, 3G communication module, 4G communication module, 5G communication module, or NB-IoT communication module.

[0117] Exemplary storage media

[0118] Based on the same concept, in another embodiment of this application, a computer-readable storage medium is also provided, which stores a computer program that, when run on a computer, causes the computer to perform the word-assisted learning method described in the above embodiments.

[0119] It should be noted that although several devices or sub-devices of the vocabulary learning aid have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more devices described above can be embodied in one device. Conversely, the features and functions of one device described above can be further divided and embodied by multiple devices.

[0120] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the operations shown must be performed to achieve the desired result. Rather, the steps depicted in the flowchart may be performed in a different order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0121] It should be understood that each block of a flowchart and / or block diagram, as well as combinations of blocks in a flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine that, when executed by a computer or other programmable data processing device, creates means for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0122] These computer program instructions may also be stored in a computer-readable medium that enables a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce a product comprising an instruction apparatus that implements the functions / operations specified in the boxes of a flowchart and / or block diagram.

[0123] Computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, such that the instructions that execute on the computer or other programmable apparatus can provide a process for implementing the functions / operations specified in the boxes of a flowchart and / or block diagram.

[0124] The use of the verbs "including" and "contains" and their inflections in the application documents does not preclude the existence of elements or steps other than those described in the application documents. The article "a" or "one" preceding an element does not preclude the existence of multiple such elements.

[0125] While the spirit and principles of the invention have been described with reference to several specific embodiments, it should be understood that the invention is not limited to the disclosed specific embodiments, and the division of aspects does not imply that features in these aspects cannot be combined for benefit; such division is merely for ease of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. The scope of the appended claims is to be interpreted in the broadest sense, thereby encompassing all such modifications and equivalent structures and functions.

Claims

1. A method for assisting learning of a word, characterized by, The method comprises the following steps: determining the read information of the target user; determining the occurrence times of the words to be learned in the read information, the words to be learned being related to the learning of the target user; generating learning information corresponding to a target word in the words to be learned, the target word being a word to be learned whose occurrence times are greater than a preset number threshold; assisting the target user in learning based on the learning information; wherein, the determination of the read information of the target user comprises: determining the reading target of the target user; identifying the reading content in the reading target; determining the reading content with a reading duration greater than a preset duration as the read information.

2. The method of claim 1, wherein, Before determining the read information of the target user, the method further comprises the following steps: obtaining login information of the target user, the login information comprising learning stage information of the target user; determining, from a preset word library, words related to the learning stage information as the words to be learned.

3. The method of claim 1, wherein, The generation of the learning information corresponding to the target word in the words to be learned comprises the following steps: generating examination information corresponding to the target word; generating an examination window and configuring the examination information in the examination window; determining the examination window configured with the examination information as the learning information.

4. The method of claim 1, wherein, The assisting the target user in learning based on the learning information comprises the following steps: displaying the learning information; obtaining feedback information of the target user on the learning information; verifying the feedback information to obtain a verification result; when the verification result is a verification failure, displaying answer information corresponding to the learning information.

5. The method of claim 4, wherein, After verifying the feedback information to obtain a verification result, the method further comprises the following steps: statistically analyzing the learning information and the corresponding verification result to obtain a statistical result; generating evaluation information of the target user based on the statistical result, the evaluation information being used to indicate the learning situation of the target user on the target word.

6. The method of claim 4, wherein, The displaying of the learning information comprises the following steps: determining the difficulty level of the target word; displaying the learning information corresponding to the target word in the order of easy to difficult.

7. A vocabulary learning aid, characterized in that, The method comprises the following steps: a first determination module for determining the read information of the target user; wherein, the determination of the read information of the target user comprises: determining the reading target of the target user; identifying the reading content in the reading target; determining the reading content with a reading duration greater than a preset duration as the read information; a second determination module for determining the occurrence times of the words to be learned in the read information, the words to be learned being related to the learning of the target user; a generation module for generating learning information corresponding to a target word in the words to be learned, the target word being a word to be learned whose occurrence times are greater than a preset number threshold; a learning module for assisting the target user in learning based on the learning information.

8. An electronic device, comprising: The method comprises the following steps: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus; the memory is used to store a computer program; The processor is configured to execute the program stored in the memory to implement the auxiliary learning method of the word according to any one of claims 1-6.

9. A computer readable storage medium storing a computer program, characterized in that, The computer program is configured to implement the auxiliary learning method of the word according to any one of claims 1-6 when executed by the processor.

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