Foreign Language Reading Exam Information Processing Method, Electronic Device, and Readable Storage Medium

Abstract

The present application provides a method for processing foreign language reading test information, an electronic device, and a readable storage medium. The method includes: monitoring the translation operations of a candidate during the current test, determining the words translated by the candidate according to the results of the translation operations; obtaining the answer options of the target candidate; determining the scores of the candidate for each question in the current test according to the answer options of the target candidate for the questions, the standard answers of the questions, the words translated by the candidate in the current test, and the words associated with the questions in the current test; generating the results of the candidate in the current test according to the scores of the candidate for each question in the current test; and outputting the results of the candidate in the current test. By obtaining and counting the word lookup situations of candidates during the test process, the present application can improve the authenticity of the test on the premise of ensuring the fairness of the test and avoid test validity problems.

Description

Technical Field

[0001] This application relates to the technical field of examination information processing. Specifically, it relates to a method for processing foreign language reading examination information, an electronic device, and a readable storage medium. Background Art

[0002] With the popularization of informatization, offline examinations have gradually been replaced by online examinations. Foreign language reading examinations are currently a way to test candidates' foreign language abilities, including examining candidates' abilities in vocabulary, grammar, passages, and logic.

[0003] Current foreign language reading examination systems usually display a reading passage, corresponding questions, and options. Candidates will choose the options they think are correct based on their understanding under closed-book conditions. After the examination, the foreign language reading examination system compares the answers actually selected by the candidates with the standard answers to obtain the candidates' examination scores.

[0004] However, the current method of judging only based on the answers selected by candidates has problems such as the mismatch between the examination scores and the candidates' reading abilities and the lack of authenticity. Summary of the Invention

[0005] The purpose of this application is to provide a method for processing foreign language reading examination information, an electronic device, and a readable storage medium to solve the problems of the mismatch between the examination scores and the candidates' reading abilities and the lack of authenticity in the prior art.

[0006] To achieve the above purpose, the technical solutions adopted in the embodiments of this application are as follows:

[0007] In a first aspect, an embodiment of this application provides a method for processing foreign language reading examination information, and the method includes:

[0008] Monitor the translation operations of a target candidate during the current examination, and determine the words translated by the candidate in the current examination according to the results of the translation operations;

[0009] Obtain the answer options of the target candidate for the questions in the current examination;

[0010] Determine the scores of the candidate for each question in the current examination according to the answer options of the target candidate for the questions in the current examination, the standard answers of the questions in the current examination, the words translated by the candidate in the current examination, and the words associated with the questions in the current examination;

[0011] Generate the results of the candidate in the current examination according to the scores of the candidate for each question in the current examination;

[0012] Output the results of the candidate in the current examination.

[0013] Optionally, before generating the result of the examinee in the current exam according to the scores of the examinee for each question in the current exam, it further includes:

[0014] According to the words translated by the target examinee in the current exam, the words translated by the associated examinee in the current exam, and a plurality of preset word libraries, determine the translation frequency information and complexity information of each word translated by the target examinee in the current exam.

[0015] Optionally, generating the result of the examinee in the current exam according to the scores of the examinee for each question in the current exam includes:

[0016] Generate the result of the examinee in the current exam according to the translation frequency information and complexity information of each word translated by the target examinee in the current exam, and the scores of the examinee for each question in the current exam.

[0017] Optionally, determining the translation frequency information and complexity information of each word translated by the target examinee in the current exam according to the words translated by the target examinee in the current exam, the words translated by the associated examinee in the current exam, and a plurality of preset word libraries includes:

[0018] According to the words translated by the target examinee in the current exam and the words translated by the associated examinee in the current exam, determine the first total number of times all words in the current exam are translated by all examinees and the second total number of times the target word is translated by all examinees in the current exam, where the target word is any one of the words translated by the target examinee and the associated examinee in the current exam;

[0019] Determine the translation frequency information of the target word according to the first total number and the second total number;

[0020] Determine the complexity information of the target word according to the attribution relationship between the target word and each of the word libraries.

[0021] Optionally, determining the translation frequency information of the target word according to the first total number and the second total number includes:

[0022] Determine the first difference between the first total number and the second total number;

[0023] Determine the ratio of the first difference to the first total number, and use the ratio of the first difference to the first total number as the translation frequency information of the target word.

[0024] Optionally, determining the complexity information of the target word according to the attribution relationship between the target word and each of the thesauruses includes:

[0025] Determining the index of the target word for each thesaurus according to the attribution relationship between the target word and each of the thesauruses;

[0026] Determining the complexity information of the target word according to the index of the target word for each thesaurus and the multiple thesauruses.

[0027] Optionally, determining the score of the candidate for each question in the current exam according to the answer options of the questions in the current exam by the target candidate, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam includes:

[0028] Generating a first word set according to the words translated by the candidate in the current exam;

[0029] Generating a second word set according to the words associated with the target question, where the target question is any question in the current exam;

[0030] If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, determining that the score of the candidate for the target question is the full score of the target question;

[0031] If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, determining the score of the candidate for the target question according to the number of words in the intersection.

[0032] In a second aspect, another embodiment of the present application provides a foreign language reading exam information processing device, and the device includes:

[0033] A monitoring module, configured to monitor the translation operation of a target candidate during the current exam, and determine the words translated by the candidate in the current exam according to the result of the translation operation;

[0034] An acquisition module, configured to acquire the answer options of the questions in the current exam by the target candidate;

[0035] A determination module, configured to determine the scores of the candidate for each question in the current exam according to the answer options of the questions in the current exam by the target candidate, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam;

[0036] A generating module, configured to generate the result of the examinee in the current exam according to the scoring of each question in the current exam by the examinee;

[0037] An output module, configured to output the result of the examinee in the current exam.

[0038] Optionally, the determining module is specifically configured to:

[0039] Determine the translation frequency information and complexity information of each word translated by the target examinee in the current exam according to the words translated by the target examinee in the current exam, the words translated by the associated examinee in the current exam, and a plurality of preset word libraries.

[0040] Optionally, the generating module is specifically configured to:

[0041] Generate the result of the examinee in the current exam according to the translation frequency information and complexity information of each word translated by the target examinee in the current exam, and the scoring of each question in the current exam by the examinee.

[0042] Optionally, the determining module is specifically configured to:

[0043] Determine the first total number of times all words in the current exam are translated by all examinees and the second total number of times the target word is translated by all examinees in the current exam according to the words translated by the target examinee in the current exam and the words translated by the associated examinee in the current exam, where the target word is any one of the words translated by the target examinee and the associated examinee in the current exam;

[0044] Determine the translation frequency information of the target word according to the first total number of times and the second total number of times;

[0045] Determine the complexity information of the target word according to the attribution relationship between the target word and each of the word libraries.

[0046] Optionally, the determining module is specifically configured to:

[0047] Determine the first difference between the first total number of times and the second total number of times;

[0048] Determine the ratio of the first difference to the first total number of times, and use the ratio of the first difference to the first total number of times as the translation frequency information of the target word.

[0049] Optionally, the determining module is specifically configured to:

[0050] Determine the index of the target word for each thesaurus according to the attribution relationship between the target word and each thesaurus;

[0051] Determine the complexity information of the target word according to the index of the target word for each thesaurus and the multiple thesauruses.

[0052] Optionally, the determining module is specifically configured to:

[0053] Generate a first word set according to the words translated by the examinee in the current exam;

[0054] Generate a second word set according to the words associated with the target question, where the target question is any question in the current exam;

[0055] If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, determine that the score of the examinee for the target question is the full score of the target question;

[0056] If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, determine the score of the examinee for the target question according to the number of words in the intersection.

[0057] In a third aspect, another embodiment of the present application provides an electronic device, including: a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to perform the steps of the method described in the first aspect above.

[0058] In a fourth aspect, another embodiment of the present application provides a readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it performs the steps of the method described in the first aspect above.

[0059] The beneficial effects of the present application are as follows: By monitoring the translation operations of the target examinee during the current exam, determining the words translated by the examinee in the current exam based on the results of the translation operations, obtaining the answer options of the target examinee for the questions in the current exam, determining the scores of the target examinee for each question in the current exam according to the answer options of the target examinee for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the examinee in the current exam, and the words associated with the questions in the current exam, and then generating and outputting the results of the target examinee in the current exam based on the scoring of the target examinee for each question in the current exam. Since the final exam results are determined by combining the answer options of the current exam, the standard answers, the words translated by the examinee in the current exam, and the words associated with the questions in the current exam, the influence of vocabulary on the examinee's performance can be reduced when determining the exam results. Therefore, the true reading ability of the examinee can be reflected while ensuring fairness, avoiding the situation where the examinee's foreign language reading is affected by unfamiliar words, and ultimately leading to issues with the exam validity. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] To more clearly illustrate the technical solutions of the embodiments of the present application, the accompanying drawings required for the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0061] Figure 1 FIG. is a schematic diagram of an application scenario of a foreign language reading exam information processing method provided by an embodiment of the present application;

[0062] Figure 2 FIG. is a schematic diagram of a statistical scenario of a foreign language reading exam information processing method provided by an embodiment of the present application;

[0063] Figure 3 FIG. is a schematic diagram of a flowchart of a foreign language reading exam information processing method provided by an embodiment of the present application;

[0064] Figure 4 FIG. is a schematic diagram of a flowchart of a method for determining the translation frequency information and complexity information of target words provided by an embodiment of the present application;

[0065] Figure 5 FIG. is a schematic diagram of a flowchart of a method for determining the translation frequency information of target words provided by an embodiment of the present application;

[0066] Figure 6 FIG. is a schematic diagram of a flowchart of a method for determining the complexity information of target words provided by an embodiment of the present application;

[0067] Figure 7It is a schematic flowchart of a process for determining the score of a target question provided by an embodiment of the present application;

[0068] Figure 8 It is a schematic structural diagram of a foreign language reading exam information processing device provided by an embodiment of the present application;

[0069] Figure 9 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0070] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that the accompanying drawings in the present application are only for the purposes of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to actual scale. The flowcharts used in the present application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations in the flowchart may not be implemented in sequence, and steps without logical context relationships may be reversed or implemented simultaneously. Furthermore, those skilled in the art may add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present application.

[0071] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying drawings here may be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application claimed, but merely represents selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the protection scope of the present application.

[0072] It should be noted that the term "including" will be used in the embodiments of the present application to indicate the existence of the features stated hereinafter, but does not exclude the addition of other features.

[0073] Currently, in foreign language reading exams, usually the answers selected by candidates in a closed-book situation are directly compared with the standard answers to directly obtain the exam scores.

[0074] However, on the one hand, in traditional examinations, a large number of complex words may appear in the reading passages, which affects the candidates' understanding of the passages, making the candidates' examination scores not match their true reading abilities and causing problems with the examination validity in the fields of educational measurement and language testing. On the other hand, with the popularity of electronic dictionaries and online searches, candidates can search for word translations in real reading scenarios, so traditional reading examinations also lack authenticity. In summary, the traditional foreign language reading examination mode has problems such as the mismatch between examination scores and candidates' reading abilities and the lack of authenticity.

[0075] Based on the above problems, the embodiments of the present application propose a method for processing foreign language reading examination information. By obtaining and counting the word query situations of candidates during the examination, and based on the complexity of the words queried by the candidates and the translation frequency information, the examination results of the candidates in the examination are generated and output, so as to improve the authenticity of the examination on the premise of ensuring the fairness of the examination and avoid the problem of examination validity.

[0076] First of all, before elaborating on the technical solutions provided by the present application in detail, the application scenarios of the foreign language reading examination information processing method are described.

[0077] Figure 1 It is a schematic diagram of the application scenario of the foreign language reading examination information processing method. Before the examination starts, the examination device obtains and verifies the candidate information. After the verification passes, it enters the examination page and starts the countdown. Optionally, the examination device can register and obtain the candidate information before the examination starts, where the candidate information includes the candidate's name, student number, password, etc.

[0078] The examination page can be as Figure 1 shown. The countdown bar is in the upper left corner, which can display the remaining time of the examination. To the right of the countdown bar is the question title bar. There are two arrow buttons on both sides of the question title bar. Candidates can click the buttons to select the previous or next examination question. Below the countdown bar and the question title bar are the examination questions. Candidates can browse the examination questions by dragging the scroll bar on the right. Optionally, the examination countdown remains unchanged when candidates select the previous or next examination question. The examination questions can include reading passages composed of multiple words. Among them, when candidates need to query words, they can select or highlight the text color of the words. The examination device can monitor the word query operations of candidates and make corresponding statistics.

[0079] On the right side of the question is the word translation prompt column and the question option column. Among them, in the upper left corner of the word translation prompt column is the translation list. Candidates can click on the translation list to display their historical translation records. In the upper right corner is the total number of the candidates' historical translations. In the middle is the word currently searched by the candidate. Below is the confirm translation button. In the question selection column, the options of the exam questions currently being processed by the candidate are displayed. Optionally, if the same word is repeatedly searched during the exam, the historical search count is not increased and the historical search record is only displayed once. The options of the exam questions can have three button options or four button options, which are not restricted here. During the exam, candidates can scroll the scroll bar to view the questions. When encountering an unfamiliar word that needs to be translated by the exam device, the candidate can select the word, and the word will appear in the word translation prompt column on the right. Candidates can click the confirm translation button to see the definition of the word. When the exam device detects the candidate's click operation, it can determine that the word is a word translated by the candidate. At the same time, the exam device adds the word to the translation list and increments the total translation count by 1. Next, the candidate selects an option in the question selection column according to the question, and this option is the answer option.

[0080] When the exam device receives the end signal input by the candidate or when the exam countdown reaches 0, the exam ends, and the exam information is statistically analyzed. The exam information includes the answer options of the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam. Based on the exam information, the exam device uses the method of the embodiments of the present application to calculate, statistically analyze, and generate the results of the exam in the current exam. The exam results include the total score of the candidate in the current exam and the statistical situation of the word translations by the candidate in the current exam.

[0081] Figure 2 It is a schematic diagram of the statistical scenario of the foreign language reading exam information processing method. Refer to Figure 2 After the exam ends, the exam device can display the statistical results of the words in this exam. Above is the title of the exam questions. On the right of the title are the score, translation frequency, and complexity buttons of the words. Users can view the statistical situation of all words in the above dimensions by selecting the score, translation frequency, or complexity button. Below is the set composed of all the words searched in the current exam. Optionally, all words are arranged in descending order of word score, descending order of translation frequency, and descending order of complexity.

[0082] On the right side of each word, there are bar charts for the actual score, translation frequency, or complexity respectively. On the right side of the bar chart, the actual score, translation frequency, or complexity of the word being queried is marked. Exemplarily, both the actual score and translation frequency of a word can be represented by numerical values, and the complexity can be represented as an interval. For example, if a word belongs to the set of all words in the second-grade vocabulary list of the Compulsory Education English Curriculum Standard, the bar chart of the word will be within the set, and the collection to which the word belongs will be displayed on the right side of the bar chart.

[0083] Candidates can click on any word, and the word will be highlighted to distinguish it from other words. In the lower right corner of the statistics scenario is the relationship between the word score and translation frequency or the word score and word complexity of the selected highlighted word. Exemplarily, as Figure 2 shown, the search frequency of the selected word "scholar" in the current examination room is 330 times. From the relationship graph between frequency and score, it can be seen that the higher the search frequency of the word, the lower the score. By understanding the statistical situation of word translation by candidates in the current examination, the translation frequency, difficulty level, and word scores of words in the current examination can be intuitively seen.

[0084] Figure 3 is a schematic flowchart of a method for processing foreign language reading examination information. The following will explain the method for processing foreign language reading examination information according to Figure 3 The execution subject of this method can be the above-mentioned examination device.

[0085] S301. Monitor the translation operations of the target candidate during the current examination, and determine the words translated by the candidate in the current examination according to the results of the translation operations.

[0086] Optionally, the examination device can be a computer, a tablet, or a mobile phone. The examination device can monitor the operations of the target candidate during the examination, where the operations include registration, login, entering the examination page, translating words, determining translations, selecting questions, selecting options, and ending the examination, etc.

[0087] Optionally, when performing translation operations, the target candidate can click on or select words in the question by means of a box selection. Exemplarily, the selected words can be marked in red or highlighted in color. Specifically, the examination device can determine the words translated by the target candidate through the process exemplified in the foregoing Figure 1 shown.

[0088] Optionally, the examination device can display the translations of the words searched by the target candidate on the examination interface. Exemplarily, the word translation column of the examination device can display the foreign language word, the Chinese explanation of the word, the word part of speech, and the phonetic symbol.

[0089] S302. Obtain the answer options of the target candidate for the questions in the current examination.

[0090] Optionally, candidates can select the answer options they consider correct based on the translated words. After determining the answer options for each question, candidates can submit the answers for the current question, or submit the answers for the entire exam after determining the answer options for all questions, and then confirm the end of the exam.

[0091] Optionally, the exam questions can be multiple-choice questions or single-choice questions.

[0092] Optionally, if candidates have not selected answer options for some questions when the exam time ends, the scores for the unanswered questions can be counted as 0 by the exam device.

[0093] S303. Determine the scores of candidates for each question in the current exam based on the answer options of the target candidates for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidates in the current exam, and the words associated with the questions in the current exam.

[0094] Optionally, the exam device can preset the standard answers to the exam questions. The standard answers can be one option or multiple options.

[0095] Optionally, a certain keyword in the current exam question can be preset as the word associated with the current exam question. Exemplarily, if the exam question is "Who wants pizza ？ ", the word associated with this exam question can be set as "pizza". If the exam question is derived from the exam article "My father wants my sister to buy a pizza.", then the words associated with this exam question can be "buy" and "pizza".

[0096] Optionally, some or all of the words in the current exam question can be preset as the words associated with the current exam question. Exemplarily, the sentence related to the question is "My old man wanted me to get pizza for his sister." If the exam question is "Who wants me to get pizza?", then the answer to the question is "my father". If the exam question is "Who wants pizza?", then the answer to the question is "my aunt". In this case, all the words in "My old man wanted me to get pizza for his sister." can be set as associated words.

[0097] It should be noted that the words associated with the current exam question can be preset according to the actual context and difficulty coefficient of the exam question.

[0098] As an alternative implementation, the answer options of the questions in the current exam for the target candidate and the standard answers of the questions in the current exam are used as the translation information for this exam. Then, by counting the translation information of the candidate, the scores of the candidate for each question in the current exam can be determined. Among them, the candidate device can record the word lookup history and the number of times of all candidates translating words in the current exam.

[0099] As another alternative implementation, the exam device can combine the words translated by the candidate in the current exam, the words associated with the questions in the current exam, the answer options of the questions in the current exam for the target candidate, and the standard answers of the questions in the current exam as the translation information for this exam. Then, by counting the translation information of the candidate, the scores of the candidate for each question in the current exam can be determined.

[0100] S304. Generate the result of the candidate in the current exam according to the scoring of the candidate for each question in the current exam.

[0101] Optionally, according to the scoring of the candidate for each question in the current exam, set the scoring weights based on the dimensions of the translation information of each question, and combine the scoring weights to generate the result of the target candidate in the current exam. The result of the current exam includes the total score of the target candidate in the current exam and the translation record of the target exam in the current exam.

[0102] It is worth mentioning that the scoring weights of each question can be preset.

[0103] S305. Output the result of the candidate in the current exam.

[0104] Optionally, the exam device generates and outputs the result of the candidate in the current exam after the current exam ends. Exemplarily, the exam device can display the total score of the target candidate in the current exam and the translation record of the target candidate in the current exam. The translation record includes each word translated by the target candidate and the total number of times it is translated in this exam, the total score obtained in this exam, and its complexity information.

[0105] In this embodiment, by monitoring the translation operations of the target candidate during the current exam, the words translated by the candidate in the current exam are determined according to the results of the translation operations. The answer options of the target candidate for the questions in the current exam are obtained. According to the answer options of the target candidate for the questions in the current exam, the standard answers to the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam, the scores of the candidate for each question in the current exam are determined. Then, according to the scoring of the candidate for each question in the current exam, the result of the candidate in the current exam is generated and output. Since the final exam result is determined by combining the answer options of the current exam, the standard answers, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam, the influence of vocabulary on the candidate's score can be reduced when determining the exam result. Therefore, the true reading ability of the candidate can be reflected while ensuring fairness, and the candidate's foreign language reading can be prevented from being affected by unfamiliar words, ultimately leading to problems with exam validity.

[0106] Before generating the result of the candidate in the current exam according to the scoring of the candidate for each question in the current exam in step S304 above, the following steps may also be performed:

[0107] Optionally, according to the words translated by the target candidate in the current exam, the words associated with the words translated by the candidate in the current exam, and a plurality of preset word banks, the translation frequency information and complexity information of each word translated by the target candidate in the current exam are determined.

[0108] Optionally, the examination device may determine the translation frequency information of each word translated by the target candidate in the current exam according to the words translated by the target candidate in the current exam and the words associated with the words translated by the candidate in the current exam. The associated candidate may be other candidates taking the exam in the current examination room where the target candidate is located. The questions of the associated candidates and the questions of the target candidate may be the same.

[0109] Optionally, the examination device may determine the complexity information of each word according to the words translated by the target candidate in the current exam and a plurality of preset word banks. Among them, the plurality of preset word banks may be named according to the complexity of the words included in the word bank.

[0110] Optionally, in addition to directly using the preset word bank, the question setter may also upload and specify a custom word bank by himself.

[0111] Exemplarily, the word bank E1 contains all the words in the "Second-level Vocabulary List" of the English Curriculum Standards for Compulsory Education (2022 Edition);

[0112] The word bank E2 contains all the words in the "Third-level Vocabulary List" of the English Curriculum Standards for Compulsory Education (2022 Edition), and the words are not within the scope of E1;

[0113] The word list E3 contains all the words in the "Vocabulary List" of the "English Curriculum Standards for General Senior High Schools (2017 Edition)", and the words in it are not within the scope of E2;

[0114] The word list E4 contains all the "Band-4 words" in the "Word List" of the "National College English Test Band 4 & 6 Syllabus (2016 Revised Edition)", and the words in it are not within the scope of E3;

[0115] The word list E5 contains all the "Band-6 words" in the "Word List" of the "National College English Test Band 4 & 6 Syllabus (2016 Revised Edition)", and the words in it are not within the scope of E4;

[0116] The word list K1 contains all the words in the "1000 BNC / COCA headwords - Level 1";

[0117] The word list K2 contains all the words in the "1000 BNC / COCA headwords - Level 2";

[0118] The word list Kn contains all the words in the "1000 BNC / COCA headwords - Level n";

[0119] The word list K10 contains all the words in the "1000 BNC / COCA headwords - Level 10";

[0120] Among them, the words contained in the word lists E and K can be different. The word list Kn can be any one of the word lists from the "1000 BNC / COCA headwords - Level 3" to the "1000 BNC / COCA headwords - Level 9". The word list K is graded by Paul Nation according to the word usage frequencies in the British National Corpus (BNC) and the Corpus of Contemporary American English (COCA).

[0121] It is worth mentioning that the more complex the words in the word list are, the larger the subscript number of the word list is. Exemplarily, the word list E2 is more complex than the word list E1, and the word list K10 is more complex than the word list K1.

[0122] Optionally, the examination device can obtain the scores of each question based on the scoring of each question in the current examination by determining the translation frequency information and complexity information of each word translated by the target candidate in the current examination, so as to obtain the result of the current examination.

[0123] Optionally, after the question setter uploads the examination content, the examination device will retrieve and mark the words not covered by the word list, and the question setter can manually determine the complexity information of these words, etc.

[0124] In this embodiment, according to the words translated by the target candidate in the current exam, the words translated by the associated candidates in the current exam, and a plurality of preset word libraries, the translation frequency information and complexity information of each word translated by the target candidate in the current exam are determined. Among them, determining the translation frequency information of each translated word can grade the queried words in combination with the translation situations of other candidates in the same exam to ensure the fairness of the exam. Determining the complexity information of each translated word can prevent candidates from being affected by unfamiliar words in reading, thereby causing the exam scores not to reflect the actual reading ability of the candidates.

[0125] Next, the step S304 of generating the result of the candidate in the current exam according to the scores of the candidate for each question in the current exam will be further described:

[0126] Optionally, according to the translation frequency information and complexity information of each word translated by the target candidate in the current exam, and the scores of the candidate for each question in the current exam, the result of the candidate in the current exam is generated.

[0127] Optionally, the exam device can determine the weight of the translation frequency information of each word, the weight of the complexity information, and the weight of the scores of the candidate for each question in the current exam according to the translation frequency information and complexity information of each word translated by the target candidate in the current exam, and the scores of the candidate for each question in the current exam. Exemplarily, if the complexity information of the words in the translation information is more important than the search frequency information, the weight value of the complexity information of the words can be set to be greater than the weight value of the search frequency information.

[0128] Optionally, the result of the candidate in the current exam may include the total score of the target candidate in the current exam and the translation record of the target candidate in the current exam. The total score of the target candidate in the current exam can be calculated according to the translation frequency information of each word, the weight of the translation frequency information, the complexity information of each word, the weight of the complexity information, the scores of the candidate for each question in the current exam, and the weight of the scores of each question. It is worth mentioning that the total score of the target candidate in the current exam is greater than or equal to 0.

[0129] Exemplarily, the total score of the target candidate in the current exam can be determined by the following formula (1):

[0130] g = ∑q score ·w q ·t (1)

[0131] where g is the total score of the target candidate in the current exam, q score is the score of the candidate for each question in the current exam, and w q is the weight coefficient of the scores of each question.

[0132] Let \(t\) be the translation penalty coefficient of the target candidate in the current exam, which can be determined by the following formula (2):

[0133]

[0134] where \(x\) index is the complexity information of each word, \(w\) xi is the weight coefficient of the complexity information of each word, \(x\) r is the translation frequency information of each word, \(w\) xr is the weight coefficient of the translation frequency information. \(P_{max}\) is the sum of the complexity information of all different words that appear in the current exam. \(w\) tp is the translation penalty intensity coefficient. The larger \(w\) tp , the more obvious the impact of word translation behavior on the total score. \(W\) tl is the translation behavior penalty upper limit coefficient. The smaller \(w\) tl , the lower the penalty upper limit of word translation behavior on the total score.

[0135] Optionally, the exam device generates and outputs the results of the target candidate in the current exam based on the translation frequency information and complexity information of each word translated by the candidate in the current exam, as well as the scores of the candidate for each question in the current exam, and displays the true reading ability of the target candidate for the user.

[0136] In this embodiment, by generating and outputting the results of the target candidate in the current exam according to the translation frequency information and complexity information of each word translated by the target candidate in the current exam, as well as the scores of the candidate for each question in the current exam, it is possible to avoid the mismatch between the candidate's score and the true reading ability, and achieve the purpose of testing the candidate's ability in the real reading scenario.

[0137] Next, through Figure 4 , the determination of the translation frequency information and complexity information of each word translated by the target candidate in the current exam based on the words translated by the target candidate in the current exam, the words translated by the associated candidate in the current exam, and a plurality of preset word libraries will be further described:

[0138] S401. Determine the first total number of times all words in the current exam are translated by all candidates and the second total number of times the target word is translated by all candidates in the current exam according to the words translated by the target candidate in the current exam and the words translated by the associated candidate in the current exam, where the target word is any one of the words translated by the target candidate and the associated candidate in the current exam.

[0139] Optionally, the first total count can be obtained by counting the total number of times all words in the current exam are translated by all examinees, where all exams include the target examinee and associated examinees. It should be noted that a word has a unique first total count. Exemplarily, in the current examination room, there are 5 examinees, and their numbers are examinee No. 1, examinee No. 2, examinee No. 3, examinee No. 4, and examinee No. 5. After statistics, the number of translation times of examinee No. 1 is 3 times, that of examinee No. 2 is 2 times, that of examinee No. 3 is 3 times, that of examinee No. 4 is 1 time, and that of examinee No. 5 is 5 times. Assuming the current examinee is examinee No. 1, then the first total count is 3 + 2 + 3 + 1 + 5 = 14 times.

[0140] Optionally, the target word can be any translated word in the current exam, and the examination device can obtain the second total count by counting the total number of times the target word is translated by all examinees. It should be noted that a word has a unique second total count. Exemplarily, combining the above example, after statistics, for a target word A, it is translated by examinee No. 1 and examinee No. 4, and not translated by examinee No. 2, examinee No. 3, and examinee No. 5. Then the second total count corresponding to the target word A is 2 times.

[0141] S402. Determine the translation frequency information of the target word according to the first total count and the second total count.

[0142] Optionally, the translation frequency information of the target word can represent the deduction situation of the examinee based on the translation frequency of the word. In the same examination room, it can be a fixed value. After the current exam ends, the translation frequency information of the target word can be reflected in the search frequency of the word in the current exam. The higher the search frequency of the target word, the lower the translation frequency information of the target examinee related to the target word in the current examination room. The lower the search frequency of the target word, the higher the translation frequency information of the target examinee related to the target word in the current examination room.

[0143] S403. Determine the complexity information of the target word according to the attribution relationship between the target word and each thesaurus.

[0144] Optionally, the examination device can determine the complexity information of the target word by judging the attribution relationship between the target word and the preset thesauruses. In the embodiments of the present application, the complexity information is a deduction factor when determining the examination result of the examinee. Therefore, the higher the complexity information, the simpler the target word, and thus more points will be deducted. Specifically, if the target word belongs to a more complex thesaurus, then the complexity information of the target word is smaller. If the target word belongs to a simpler thesaurus, then the complexity information of the target word is larger. If the target word does not belong to the preset thesaurus, then the complexity information of the target word can be 0.

[0145] In this embodiment, by determining the translation frequency information and complexity information of each word translated by the target candidate in the current exam based on the words translated by the target candidate in the current exam, the words translated by the associated candidate in the current exam, and a plurality of preset word libraries, the translation frequency information of each word translated by the target candidate in the current exam can be obtained by the first total number of times all words in the current exam are translated by all candidates and the second total number of times the target word is translated by all candidates in the current exam, so that the number of times the words translated by the target candidate are translated by all candidates in the current examination room can be obtained, thereby enabling the examination device to refer to the word level of others in the same examination when determining the candidate's score and improving the fairness of the reading exam. By determining the complexity information of the target word according to the attribution relationship between the target word and each word library, the examination device can combine the difficulty of the words in the test questions when determining the candidate's score, improving the authenticity of the reading exam.

[0146] Next, according to Figure 5 further illustrate the determination of the translation frequency information of the target word based on the first total number and the second total number in step S402 above:

[0147] S501. Determine the first difference between the first total number and the second total number.

[0148] Optionally, the difference between the first total number and the second total number can be expressed as the sum of the total number of times other words except the target word are translated by the target candidate and the associated candidate. It should be noted that the first difference can be greater than or equal to 0.

[0149] S502. Determine the ratio of the first difference to the first total number, and use the ratio of the first difference to the first total number as the translation frequency information of the target word.

[0150] Optionally, the ratio of the first difference to the first total number can be the proportion of the sum of the total number of times other words except the target word are translated by the target candidate and the associated candidate in the total number of times all words are translated by the target candidate and the associated candidate, and use this proportion as the translation frequency information of the target word. That is to say, the ratio of the first difference to the first total number can represent the probability that the target word is not translated when the associated candidate answers the question.

[0151] Exemplarily, the translation frequency information of the target word can be determined by the following formula (2):

[0152]

[0153] where x r is the translation frequency information of the target word, N is the sum of the first total number of times all words in the current exam are translated by all candidates, and c x is the total number of times the target word is translated by all candidates in the current exam.

[0154] Optionally, by determining the translation frequency information of the words translated by the target examinee, as well as the complexity information of the words and the scores of each question, the scores of each question in the current exam can be determined, and then the result of the examinee in the current exam can be obtained.

[0155] In this embodiment, by determining the first difference between the first total number and the second total number, and then determining the ratio of the first difference to the first total number, and taking the ratio of the first difference to the first total number as the translation frequency information of the target word, the probability that the target word is not translated when the associated examinee answers the question can be obtained. By combining the translation frequency information in the process of statistically calculating the exam results, the fairness of the foreign language reading exam can be improved, and it can be avoided that the test questions are too difficult, and some examinees cannot understand the reading passage because of unfamiliar words, resulting in uneven exam results.

[0156] Next, according to Figure 6 The following further explains how to determine the complexity information of the target word according to the attribution relationship between the target word and each thesaurus in step S403 above:

[0157] S601. Determine the index of the target word for each thesaurus according to the attribution relationship between the target word and each thesaurus.

[0158] Optionally, in the embodiment of the present application, the index of the target word for each thesaurus is also used as a deduction factor when determining the exam result of the examinee. Therefore, the higher the index, the simpler the target word, and thus more points will be deducted.

[0159] Exemplarily, the index of the target word for each thesaurus can be determined by the following formulas (3) and (4):

[0160]

[0161]

[0162] Where represents the sum of all E-type thesauruses, is the number of thesauruses in all E-type thesauruses, represents the sum of all K-type thesauruses, is the number of thesauruses in all K-type thesauruses. x Eindex represents the index of the target word based on the attribution relationship with the E-type thesaurus, x Kindex represents the index of the target word based on the attribution relationship with the E-type thesaurus. Formula (3) can be understood as that if the target word belongs to a certain thesaurus in the E-type thesaurus, the index of the target word for each thesaurus is the rank value of that thesaurus. If the target word does not belong to any thesaurus in the E-type thesaurus, the index value of the target word for each thesaurus is Where It can be pre-calculated. Formula (4) can be understood as follows: when the target word belongs to a certain word bank in the K word banks, the exponent of the target word for each word bank is the rank value of that word bank; when the target word does not belong to any of the K word banks, the exponent value of the target word for each word bank is where It can be pre-calculated.

[0163] where e or k can be natural numbers, and the question setter can determine the magnitudes of e or k according to the number of word banks, etc. When the values of e or k are not preset, the default value can be 1.

[0164] S602. Determine the complexity information of the target word according to the exponents of the target word for each word bank and multiple word banks.

[0165] Exemplarily, the complexity information of the target word can be determined by the following formula (5):

[0166]

[0167] where x index is the complexity information of the target word. According to formula (5), when the target word belongs to a more complex word bank, the complexity information of the target word is smaller. Therefore, the complexity of the word is negatively correlated with the complexity information of the target word. w xE and w xK are both word bank weight coefficients, and the weight proportion of different word banks in the word complexity information can be modified by modifying the weight coefficients.

[0168] In this embodiment, by determining the exponents of the target word for each word bank according to the attribution relationship between the target word and each word bank, and determining the complexity information of the target word according to the exponents of the target word for each word bank and multiple word banks, the complexity of the target word can be obtained, and the complexity information can be combined in the process of statistically analyzing the exam results, so as to improve the authenticity of the foreign language reading exam, enable the candidates to break through the limitations of words, and truly reflect the reading ability of the candidates in the real reading scenario.

[0169] Next, with reference to Figure 7 it is described how to determine the scores of the candidates for each question in the current exam according to the answer options of the current exam questions answered by the target candidates, the standard answers of the current exam questions, the words translated by the candidates in the current exam, and the words associated with the current exam questions:

[0170] S701. Generate a first word set according to the words translated by the candidates in the current exam.

[0171] Optionally, the first word set may include all the words translated by the examinee in the current exam, and the repeatedly translated words may be counted only once.

[0172] S702. Generate a second word set according to the words associated with the target question, where the target question is any question in the current exam.

[0173] Optionally, the second word set can be obtained by presetting. If there is no prior annotation, the second word set is an empty set.

[0174] S703. If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, then determine that the score of the examinee for the target question is the full score of the target question.

[0175] Optionally, if the answer option of the target examinee for the target question is not the same as the standard answer of the target question, then the score of the examinee for the target question is 0.

[0176] Exemplarily, the exam question is "Who wants pizza?", the standard answer is "my father". If the examinee's answer option is "my sister", then the score for this exam question is 0. If the examinee does not translate the word associated with the question, that is, "pizza", and the answer option is "my father", the examinee can get the full score.

[0177] S704. If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, then determine the score of the examinee for the target question according to the number of words in the intersection.

[0178] Exemplarily, if the examinee's answer option is "my father", but the examinee has translated the word associated with the question, that is, "pizza", then the examinee can get an incomplete score, such as half of the full score.

[0179] Exemplarily, the score of the target word can be determined by the following formula (6):

[0180]

[0181] where q score represents the score of the target word, q sp represents the full score of the target word, a represents the examinee's answer option, a p represents the standard answer of the question, X represents the first word set, S represents the second word set, w q represents the incomplete score coefficient. For example, when w qWhen taking 0.5, the incomplete score obtained by the candidate is half of the complete score, w q The value is less than 1 and greater than 0.

[0182] Through formula (6), the test questions can be scored according to the candidate's answer situation, and the foreign language reading ability of the candidate can be reflected through the complete score, incomplete score and 0 score.

[0183] In this embodiment, according to the words translated by the candidate in the current exam, a first word set is generated, and according to the words associated with the target question, a second word set is generated. If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, it is determined that the score of the candidate for the target question is the complete score of the target question. If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, the score of the candidate for the target question is determined according to the number of words in the intersection. By analyzing the attribution relationship between the first word set and the second word set, the score of the target question in the current examination room of the target exam can be determined, which ensures the authenticity of the exam while ensuring the candidate's real reading scenario.

[0184] Based on the same inventive concept, an information processing device for foreign language reading exams corresponding to the foreign language reading exam information processing method is also provided in the embodiments of the present application. Since the principle of solving problems by the device in the embodiments of the present application is similar to the above-mentioned foreign language reading exam information processing method in the embodiments of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0185] Refer to Figure 8 As shown, it is a schematic diagram of an information processing device for foreign language reading exams provided by the present application. The device includes: a monitoring module 801, an acquisition module 802, a determination module 803, a generation module 804, and an output module 805; where:

[0186] The monitoring module 801 is configured to monitor the translation operation of the target candidate during the current exam, and determine the words translated by the candidate in the current exam according to the result of the translation operation;

[0187] The acquisition module 802 is configured to acquire the answer options of the target candidate for the questions in the current exam;

[0188] The determination module 803 is configured to determine the scores of the candidate for each question in the current exam according to the answer options of the target candidate for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam;

[0189] A generating module 804, configured to generate the result of the examinee in the current exam according to the scores of the examinee for each question in the current exam;

[0190] An output module 805, configured to output the result of the examinee in the current exam.

[0191] Optionally, the determining module 803 is specifically configured to:

[0192] According to the words translated by the target examinee in the current exam, the words translated by the associated examinee in the current exam, and a plurality of preset word libraries, determine the translation frequency information and complexity information of each word translated by the target examinee in the current exam.

[0193] Optionally, the generating module 804 is specifically configured to:

[0194] According to the translation frequency information and complexity information of each word translated by the target examinee in the current exam, and the scores of the examinee for each question in the current exam, generate the result of the examinee in the current exam.

[0195] Optionally, the determining module 803 is specifically configured to:

[0196] According to the words translated by the target examinee in the current exam and the words translated by the associated examinee in the current exam, determine the first total number of times all words in the current exam are translated by all examinees and the second total number of times the target word is translated by all examinees in the current exam, where the target word is any one of the words translated by the target examinee and the associated examinee in the current exam;

[0197] According to the first total number and the second total number, determine the translation frequency information of the target word;

[0198] According to the attribution relationship between the target word and each word library, determine the complexity information of the target word.

[0199] Optionally, the determining module 803 is specifically configured to:

[0200] Determine the first difference between the first total number and the second total number;

[0201] Determine the ratio of the first difference to the first total number, and use the ratio of the first difference to the first total number as the translation frequency information of the target word.

[0202] Optionally, the determining module 803 is specifically configured to:

[0203] According to the attribution relationship between the target word and each word library, determine the index of the target word for each word library;

[0204] According to the index of the target word for each word library and the plurality of word libraries, determine the complexity information of the target word.

[0205] Optionally, the determining module 803 is specifically configured to:

[0206] generate a first word set according to the words translated by the examinee in the current exam;

[0207] generate a second word set according to the words associated with the target question, where the target question is any question in the current exam;

[0208] If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, determine that the score of the examinee for the target question is the full score of the target question;

[0209] If the answer option of the target examinee for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, determine the score of the examinee for the target question according to the number of words in the intersection.

[0210] Descriptions of the processing flows of the various modules in the device and the interaction flows between the various modules may refer to the relevant descriptions in the method embodiments above, and will not be elaborated here.

[0211] The embodiment of the present application further provides an electronic device, and the electronic device may be the exam device in the above embodiment. As Figure 9 shown, it is a schematic structural diagram of the electronic device provided by the embodiment of the present application, including: a processor 901, a memory 902, and optionally, a bus 903 may also be included. The memory 902 stores machine-readable instructions executable by the processor 901 (for example, Figure 8 the execution instructions corresponding to the monitoring module 801, the obtaining module 802, the determining module 803, the generating module 804, and the output module 805 in the device in

[0212] When the electronic device runs, communication between the processor 901 and the memory 902 is through the bus 903, and when the machine-readable instructions are executed by the processor 901, the method steps in the above method embodiments are executed.

[0213] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems and devices described above can refer to the corresponding processes in the method embodiments, and will not be elaborated herein. In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the modules is only a logical functional division, and there may be other division methods in actual implementation. For another example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of the devices or modules can be in electrical, mechanical, or other forms.

[0214] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., which can store program codes.

[0215] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all should be covered by the protection scope of the present application.

Claims

1. A method for processing foreign language reading test information, characterized in that Including: Monitoring the translation operations of the target candidate during the current exam, and determining the words translated by the candidate in the current exam according to the results of the translation operations; Obtaining the answer options of the target candidate for the questions in the current exam; Determining the scores of the candidate for each question in the current exam according to the answer options of the target candidate for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam; Determining the first total number of times all words in the current exam are translated by all candidates and the second total number of times the target word is translated by all candidates in the current exam according to the words translated by the target candidate in the current exam and the words translated by the associated candidate in the current exam, where the target word is any one of the words translated by the target candidate and the associated candidate in the current exam; Determining the translation frequency information of the target word according to the first total number and the second total number; Determining the complexity information of the target word according to the attribution relationship between the target word and each preset word library; Generating the result of the candidate in the current exam according to the translation frequency information and complexity information of each word translated by the target candidate in the current exam, and the scores of the candidate for each question in the current exam; Outputting the result of the candidate in the current exam.

2. The method according to claim 1, wherein The determining the translation frequency information of the target word according to the first total number and the second total number includes: Determining the first difference between the first total number and the second total number; Determining the ratio of the first difference to the first total number, and taking the ratio of the first difference to the first total number as the translation frequency information of the target word.

3. The method according to claim 1, wherein The determining the complexity information of the target word according to the attribution relationship between the target word and each word library includes: Determining the index of the target word for each word library according to the attribution relationship between the target word and each word library; Determining the complexity information of the target word according to the index of the target word for each word library and multiple word libraries.

4. The method according to any one of claims 1 to 3, characterized in that The determining the scores of the candidate for each question in the current exam according to the answer options of the target candidate for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam includes: Generating a first word set according to the words translated by the candidate in the current exam; Generating a second word set according to the words associated with the target question, where the target question is any question in the current exam; If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is empty, then determining the score of the candidate for the target question as the full score of the target question; If the answer option of the target candidate for the target question is the same as the standard answer of the target question, and the intersection of the first word set and the second word set is not empty, then determine the score of the candidate for the target question according to the number of words in the intersection.

5. An information processing device for a foreign language reading exam, characterized in that, The device includes: A monitoring module, configured to monitor the translation operations of a target candidate during a current exam, and determine the words translated by the candidate in the current exam according to the results of the translation operations; An acquisition module, configured to acquire the answer options of the target candidate for the questions in the current exam; A determination module, configured to determine the scores of the candidate for each question in the current exam according to the answer options of the target candidate for the questions in the current exam, the standard answers of the questions in the current exam, the words translated by the candidate in the current exam, and the words associated with the questions in the current exam; A generation module, configured to determine the first total number of times that all words in the current exam are translated by all candidates and the second total number of times that a target word is translated by all candidates in the current exam according to the words translated by the target candidate in the current exam and the words associated with the candidate who translated the words in the current exam, where the target word is any one of the words translated by the target candidate and the associated candidate in the current exam; determine the translation frequency information of the target word according to the first total number and the second total number; determine the complexity information of the target word according to the attribution relationship between the target word and each preset word library; The generation module is further configured to generate the result of the candidate in the current exam according to the translation frequency information and complexity information of each word translated by the target candidate in the current exam, and the score of the candidate for each question in the current exam; An output module, configured to output the result of the candidate in the current exam.

6. An electronic device, characterized in that, It includes: A processor, a memory, and a bus, where the memory stores machine-readable instructions executable by the processor, and when the electronic device runs, the processor executes the machine-readable instructions to perform the steps of the foreign language reading exam information processing method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, it performs the steps of the foreign language reading exam information processing method according to any one of claims 1 to 4.

Images