CN111611787A - Plagiarism assessment method, system and auxiliary writing system - Google Patents

Abstract

The invention discloses a plagiarism evaluation method, system and auxiliary writing system. The method includes: receiving a reference text and a text to be evaluated, calculating the similarity between the text to be evaluated and the reference text, and displaying the similarity detection result, so that Teachers can clearly know the plagiarism situation, can give targeted evaluation suggestions based on the similarity detection results, and input evaluation information. The system can generate an evaluation report based on the similarity detection results and evaluation information, and send the evaluation report. Send it to the user account of the text to be evaluated, that is, the student account, so that students can clearly identify the plagiarism in the text, and obtain suggestions and knowledge to avoid plagiarism and improve writing based on the teacher's evaluation information. In the plagiarism evaluation method, both teachers and students participate in the evaluation, which makes the evaluation more real and specific, and improves the referentiality, which solves the technical problem of low referentiality of the existing plagiarism evaluation methods.

Description

Plagiarism assessment method, system and auxiliary writing system

technical field

The invention belongs to the technical field of intelligent information processing, and in particular relates to a plagiarism evaluation method, a system and an auxiliary writing system.

Background technique

At present, the problem of plagiarism in school writing is becoming more and more serious. For plagiarism problems in students' works, teachers often can only rely on their own teaching experience to evaluate, but cannot accurately determine whether plagiarism exists and the extent of plagiarism; With limited energy, teachers cannot analyze and judge the plagiarism of students' works one by one.

Some plagiarism detection methods have been developed in the prior art, which can evaluate the plagiarism situation through text similarity detection, but they are often criticized by teachers and students, because the existing plagiarism detection methods only provide a limited number of detection results. On the other hand, it lacks the participation of teachers, only "testing" but not "evaluating", which makes the reference of the existing plagiarism detection low.

SUMMARY OF THE INVENTION

The present application provides a plagiarism evaluation method, system and auxiliary writing system, which solve the technical problem of low referentiality of the existing plagiarism evaluation methods.

In order to solve the above-mentioned technical problems, the application adopts the following technical solutions to realize:

A plagiarism evaluation method is proposed, comprising: receiving a reference text and a text to be evaluated; calculating the similarity of the text to be evaluated compared to the reference text; displaying a similarity detection result, and receiving input evaluation information; The degree detection result and the evaluation information are used to generate an evaluation report, and the evaluation report is sent to the user account to which the text to be evaluated belongs.

A plagiarism evaluation system is proposed, which includes a text acquisition module, a similarity detection module, a display module, a plagiarism evaluation module, an evaluation report generation module and an evaluation output module; the text acquisition module is used for receiving reference texts and texts to be evaluated; The similarity detection module is used to calculate the similarity of the text to be evaluated compared to the reference text; the display module is used to display the similarity detection result; the plagiarism evaluation module is used to receive the input evaluation information The evaluation report generation module is used to generate an evaluation report based on the similarity detection result and the evaluation information; the evaluation output module is used to send the evaluation report to the user account to which the text to be evaluated belongs.

An auxiliary writing system is proposed, including an online evaluation module, an academic information statistics module and the above-mentioned plagiarism evaluation system; the online evaluation module is used for inputting evaluation information, so that the plagiarism evaluation system is based on the similarity detection result and the plagiarism evaluation system. The evaluation information generates an evaluation report; the academic information statistics module is used to count the similarity detection results and/or evaluation information of all texts to be evaluated.

Compared with the prior art, the advantages and positive effects of the present application are: in the plagiarism assessment method, system and auxiliary writing system proposed by the present application, the teacher uploads the selected reference text and the student's text to be assessed in the system, based on the existing Some similarity detection methods calculate the similarity between the evaluation text and the reference text, and display the similarity detection results, so that teachers can clearly know the plagiarism situation, and can give targeted suggestions based on the similarity detection results. Evaluation suggestions, the generated evaluation report is fed back to the student account, so that students can clearly identify the plagiarism in the text, and obtain suggestions and knowledge to avoid plagiarism and improve writing based on the teacher's evaluation information; you can also send the text to be evaluated to other students, Let other students participate in the evaluation and give the second evaluation information. On the one hand, the second evaluation information of other students' evaluation texts is sent to the author of the evaluation texts. On the other hand, the second evaluations given by other students can also be counted. The advantage of this is that it can encourage students to participate in the evaluation, reflect and learn from each other by evaluating the works of other students, and can also assist teachers to carry out a comprehensive evaluation of the writing quality of the entire class. The plagiarism evaluation method of the plagiarism evaluation involves both teachers and students, which makes the evaluation more real and specific, improves the referentiality, and solves the technical problem of low referentiality of the existing plagiarism evaluation methods.

Other features and advantages of the present application will become more apparent after reading the detailed description of the embodiments of the present application in conjunction with the accompanying drawings.

Description of drawings

Fig. 1 is the flow chart of the plagiarism evaluation method proposed for this application;

Fig. 2 is the framework diagram of the plagiarism evaluation system proposed by this application;

3 is a schematic diagram of the input interface of the plagiarism evaluation system proposed by the application;

FIG. 4 is a schematic diagram of a display interface of the plagiarism evaluation system proposed by the present application.

Detailed ways

The specific embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The plagiarism evaluation method proposed in this application, as shown in Figure 1, includes the following steps:

Step S11: Receive the reference text and the text to be evaluated.

Based on the plagiarism evaluation method proposed in this application, an evaluation APP is created. After the teacher registers and logs in to the APP account, he can load or upload the reference text and the text to be evaluated based on the prompts; the reference text here is the text selected by the teacher according to the actual homework. It can also be an existing database link, and the text to be evaluated is the student's homework text; as shown in Figure 3, the evaluation APP interface example, in the file option, the teacher can drag and drop, paste, load the link, etc. in this option. Add reference text and text to be evaluated; this application does not specifically limit the text format, and the maximum number of reference texts that can be added can be limited by setting; in addition, teachers can set the plagiarism threshold, minimum detection unit, A list of auxiliary words, etc.

Step S12: Calculate the similarity between the text to be evaluated and the reference text.

As shown in Figure 3, the teacher clicks "Start Analysis" to issue a plagiarism evaluation instruction, and the system automatically runs techniques such as dynamic programming algorithms to traverse the sentences of the reference text and the text to be evaluated to compare the text similarity. During the comparison process, the texts larger than the plagiarism threshold will be compared part for temporary storage.

Step S13: Display the similarity detection result, and receive the input evaluation information.

In the embodiment of the present application, as shown in FIG. 4 , a first window 41 and a second window 42 are established and displayed in the evaluation APP interface, the reference text is displayed in the first window 41 , and the text to be evaluated is displayed in the second window 42 ; And in the reference text and the text to be evaluated, the text whose similarity is higher than the plagiarism threshold is displayed with the setting rules; the setting rules here such as highlighting, displaying with special colors, underlining, bold fonts, etc., this application does not It is limited so that the teacher can intuitively understand the text content that exceeds the plagiarism threshold and the plagiarized part of the text in the reference text, etc., so as to improve the teacher's view of the test results in an intuitive way, so that the teacher can make the test based on the test results. Evaluation analysis.

In the embodiment of the present application, the similarity value of text-related sentences is displayed in a floating window 43 on the side of the text whose similarity is higher than the plagiarism threshold. content, and display the word count of the selected text content.

As shown in FIG. 4 , in the embodiment of the present application, the first window 41 and the second window 42 are displayed in a side-by-side manner, and each of the two windows has a progress bar, so that content browsing can be performed independently. When the teacher clicks the plagiarized part of the text to be evaluated in the second window, the text corresponding to the plagiarized part in the reference text will be displayed side by side in the first window, so that all the texts above the plagiarism threshold can be viewed. For example, when clicking the second window , that is, when the highlighted area is clicked in the text window to be evaluated, the first window responds to the second window, and the text corresponding to the plagiarized part in the reference text is highlighted.

Based on the displayed evaluation results and combined with their own analysis, teachers enter evaluation information such as opinions, suggestions, plagiarism analysis, and recommended materials for students' works.

Step S14: Generate an evaluation report based on the similarity detection result and the evaluation information, and send the evaluation report to the user account to which the text to be evaluated belongs.

Based on the similarity detection results and the received evaluation information input by the teacher, the system generates an evaluation report through statistics, and sends the evaluation report to the user account to which the text to be evaluated belongs, that is, the student account that created the text to be evaluated.

After registering and logging into the evaluation APP, students can upload their own works based on the evaluation APP, and receive evaluation reports fed back by teachers, so as to understand the evaluation of the works, so as to find and solve problems based on the evaluation information of teachers.

In the embodiment of the present application, after the evaluation report is generated based on the similarity detection result and the evaluation information, the following steps are further included:

Step S15: Send the text to be evaluated to an account other than the user to which the text to be evaluated belongs.

The teacher can send the text to be evaluated of student A to the accounts of student B, student C, student D... other than student A, and hide the identification information of the text to be evaluated, that is, send it anonymously, so that student B, Student C, Student D... When receiving the text to be evaluated, evaluate Student A's work, and input the second evaluation information based on their own understanding and feed it back to the system, mainly to point out problems and propose revisions.

Step S16: Receive the second evaluation information sent by an account other than the user to which the text to be evaluated belongs; after the system receives the second evaluation information, step S17: Send the second evaluation information to the user account to which the text to be evaluated belongs; and/or , and step S18 : count the second evaluation information and display it.

In step S17, the second evaluation information is sent to student A's account for student A's reference. The sending method can be sent alone or added to the evaluation report, and sent to the student together with the similarity detection result and the evaluation information given by the teacher A account.

In step S18, after receiving the second evaluation information sent by other student accounts, the system collects statistics on all the evaluation information and displays it on the teacher's account. In this way, students can obtain not only teachers' evaluations, but also classmates' evaluations, and students can gain understanding of writing and reflection on their own works by reading other students' works.

In the embodiment of this application, teachers can also select some students' evaluation reports to send to students for sharing, so that students can summarize problems or learn from other students' evaluation reports. Specifically, a list of evaluation reports is established and displayed on the evaluation APP. In the interface, after the evaluation report is generated based on the similarity detection result and the evaluation information in step S14, the generated evaluation report is added to the evaluation report list, so that the teacher can make selections, for example, select excellent works with low similarity detection results, so that the system based on The input selection instruction generates a shared evaluation package, and sends the shared evaluation package to the designated account; wherein, the selection instruction is used to select at least one evaluation report; that is, the student works with low plagiarism and their evaluation reports are packaged to generate the shared evaluation package. Shared with all students.

In the embodiment of this application, the evaluation reports of all the texts to be evaluated are also analyzed and counted, for example, the number and proportion of works that do not exceed the plagiarism threshold, the number and scope of reference texts involved in plagiarism in the works that exceed the plagiarism threshold, are The proportion of plagiarized reference texts, etc., is displayed in a visual way for teachers' reference, so that teachers can have a more comprehensive understanding of plagiarism in students' works, and it is helpful to improve teaching strategies and improve teaching quality after reference.

In this embodiment of the present application, the generated evaluation report is stored, and a single or batch download link is provided for download and reference.

Based on the plagiarism evaluation method proposed above, the present application also proposes a plagiarism evaluation system, as shown in FIG. 2 , including a text acquisition module 21 , a similarity detection module 22 , a display module 23 , a plagiarism evaluation module 24 , and an evaluation report generation module 25 and the evaluation output module 26; the text acquisition module 21 is used to receive the reference text and the text to be evaluated; the similarity detection module 22 is used to calculate the similarity of the text to be evaluated compared to the reference text; the display module 23 is used to display the similarity detection result; The plagiarism evaluation module 24 is used to receive the input evaluation information; the evaluation report generation module 25 is used to generate an evaluation report based on the similarity detection result and the evaluation information; the evaluation output module 26 is used to send the evaluation report to the user account to which the text to be evaluated belongs.

The system further includes a mutual evaluation module 33 and/or a shared evaluation module 27. The mutual evaluation module 33 is used to send the text to be evaluated to accounts other than the user to which the text to be evaluated belongs, and to receive accounts other than the user to which the text to be evaluated belongs. The second evaluation information sent, and the second evaluation information is sent to the user account to which the text to be evaluated belongs; the shared evaluation module 27 is used to receive the second evaluation information sent by accounts other than the user to which the text to be evaluated belongs, and count the second evaluation. The display module 23 is also used to display the second evaluation information after statistics; the mutual evaluation module 33 includes a first anonymous unit 331, which is used to hide the second evaluation information when sending the second evaluation information to the user account to which the text to be evaluated belongs. 2. Identification information of the user who evaluates the information.

The system also includes an evaluation report adding module 28, a shared evaluation package generating module 29 and a sharing module 30; the evaluation report adding module 28 is used to add the evaluation report to the evaluation report list after generating the evaluation report based on the similarity detection result and the evaluation information The shared evaluation package generation module 29 is used to generate a shared evaluation package based on the input selection instruction; wherein, the selection instruction is used to select at least one evaluation report; the sharing module 30 is used to send the shared evaluation package to the designated account, and the sharing module 30 includes The second anonymous unit 301 is configured to hide the identification information corresponding to all the evaluation reports before sending the shared evaluation package to the designated account.

In this embodiment of the present application, the display module 23 includes a window establishment unit 231, a display unit 232, a labeling unit 233, and a floating window establishment unit 234 and/or a word count unit 235; the window establishment unit 231 is used to establish and display the first window and The second window; the display unit 232 is used to display the reference text in the first window, and the text to be evaluated in the second window; the labeling unit 233 is used to display the similarity higher than the plagiarism threshold in the text to be evaluated by setting rules The floating window establishment unit 234 is used to establish a floating window on the side of the text whose similarity is higher than the plagiarism threshold, and displays the similarity of text-related sentences in the floating window; Displays the number of selected words when the text content is selected.

The specific evaluation method of the plagiarism evaluation system has been described in detail in the plagiarism evaluation method proposed above, and will not be repeated here.

Based on the plagiarism evaluation system proposed above, the present application also proposes an auxiliary writing system, the auxiliary writing system includes an online evaluation module 31, a statistical module 32 and the plagiarism evaluation system proposed above; The evaluation information related to the quality of the text to be evaluated, opinions and suggestions, etc., and the second evaluation information for students to input the quality of the text to be evaluated for their classmates; the statistics module 32 The evaluation information and the second evaluation information of the students' mutual evaluation are statistically presented to the teachers, so that the students can not only obtain the evaluations of the teachers, but also the evaluations of the classmates, so that the students can learn and reflect on the writing by reading the works of the classmates.

In the above-mentioned plagiarism evaluation method, system and auxiliary writing system proposed by this application, the teacher uploads the selected reference text and the student's text to be evaluated in the system, and based on the existing similarity detection method, the evaluation text is compared with the reference text. The similarity is calculated and the similarity detection results are displayed, so that teachers can clearly know the plagiarism situation, and can give targeted evaluation suggestions based on the similarity detection results. The generated evaluation report is fed back to the student account, so that students can clearly Clarify the plagiarism in the text, and obtain suggestions and knowledge to avoid plagiarism and improve writing based on the teacher's evaluation information; you can also send the text to be evaluated to other students, so that they can participate in the evaluation and give the second evaluation information. The second evaluation information given by other students is then fed back to the teacher. On the one hand, it enables students to participate in the evaluation, enables students to reflect and learn based on the works of their classmates, and also assists teachers in conducting a comprehensive evaluation of the writing quality of the entire class. , this kind of plagiarism evaluation method that both tests and evaluates, both teachers and students participate in, making the evaluation more real and concrete, improving the referentiality, and solving the technical problem of low referentiality of the existing plagiarism evaluation methods.

It should be pointed out that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by those of ordinary skill in the art within the essential scope of the present invention, It should also belong to the protection scope of the present invention.

Claims (10)

1. A plagiarism evaluation method, characterized in that it includes: Receive reference texts and texts to be evaluated; Calculate the similarity of the text to be evaluated compared to the reference text; Display the similarity detection results and receive the input evaluation information; An evaluation report is generated based on the similarity detection result and evaluation information, and the evaluation report is sent to the user account to which the text to be evaluated belongs. 2. plagiarism evaluation method according to claim 1, is characterized in that, described method also comprises: Sending the to-be-evaluated text to accounts other than the user to which the to-be-evaluated text belongs; after that, the method further includes: receiving second evaluation information sent by an account other than the user to which the text to be evaluated belongs; sending the second evaluation information to the user account to which the text to be evaluated belongs; and/or, The second evaluation information is counted and displayed. 3. The plagiarism evaluation method according to claim 2, wherein when the text to be evaluated is sent to an account other than the user to which the text to be evaluated belongs, the method further comprises: The identification information of the text to be evaluated is hidden. 4. The plagiarism evaluation method according to claim 1, wherein after generating an evaluation report based on the similarity detection result and the evaluation information, the method further comprises: adding the evaluation report to the evaluation report list; Generate shared evaluation packages based on input selection instructions; sending the shared evaluation package to the designated account; Wherein, the selection instruction is used to select at least one evaluation report. 5. plagiarism evaluation method according to claim 1, is characterized in that, displaying similarity detection result, specifically comprises: Create and display the first window and the second window; Displaying the reference text in the first window and displaying the text to be evaluated in the second window; and displaying texts with a similarity higher than a plagiarism threshold between the reference text and the text to be evaluated according to a set rule; and , the similarity of text-related sentences is displayed in a floating window on the side of the text whose similarity is higher than the plagiarism threshold, and/or the number of selected words is displayed when the text content higher than the plagiarism threshold is selected. 6. A plagiarism evaluation system, characterized in that it comprises a text acquisition module, a similarity detection module, a display module, a plagiarism evaluation module, an evaluation report generation module and an evaluation output module; The text acquisition module is used to receive reference text and text to be evaluated; The similarity detection module is used to calculate the similarity of the text to be evaluated compared to the reference text; The display module is used to display the similarity detection result; The plagiarism evaluation module is used for receiving input evaluation information; The evaluation report generation module is configured to generate an evaluation report based on the similarity detection result and the evaluation information; The evaluation output module is configured to send the evaluation report to the user account to which the text to be evaluated belongs. 7. The plagiarism evaluation system according to claim 6, wherein the system further comprises a mutual evaluation module and/or a shared evaluation module; The mutual evaluation module is configured to send the text to be evaluated to accounts other than the user to which the text to be evaluated belongs, and receive second evaluation information sent by accounts other than the user to which the text to be evaluated belongs, and Send the second evaluation information to the user account to which the text to be evaluated belongs; the shared evaluation module is configured to receive the second evaluation information sent by accounts other than the user to which the text to be evaluated belongs, and count the first evaluation information. Second evaluation information; the display module is further configured to display the second evaluation information after statistics. 8. The plagiarism evaluation system according to claim 6, wherein the system further comprises an evaluation report adding module, a shared evaluation package generation module and a shared module; The evaluation report adding module is configured to add the evaluation report to the evaluation report list after generating the evaluation report based on the similarity detection result and the evaluation information; The shared evaluation package generation module is configured to generate a shared evaluation package based on an input selection instruction; wherein the selection instruction is used to select at least one evaluation report; The sharing module is configured to send the shared evaluation package to a designated account. 9. plagiarism evaluation system according to claim 6, is characterized in that, described display module comprises window establishment unit, display unit and labeling unit, and floating window establishment unit and/or word count unit; The window establishment unit is used to establish and display the first window and the second window; The display unit is used to display the reference text in the first window and the text to be evaluated in the second window; the labeling unit is used to display the similarity higher than plagiarism threshold text; The floating window establishment unit is used to establish a floating window on the side of the text whose similarity is higher than the plagiarism threshold, and display the similarity of text-related sentences in the floating window; The word count unit is configured to display the number of selected words when the text content higher than the plagiarism threshold is selected. 10. An auxiliary writing system, characterized in that it comprises an online evaluation module, an academic information statistics module and the plagiarism evaluation system according to any one of claims 6-9; The online evaluation module is configured to input evaluation information, so that the plagiarism evaluation system generates an evaluation report based on the similarity detection result and the evaluation information; The academic information statistics module is used for statistics of similarity detection results and/or evaluation information of all texts to be evaluated.

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