CN111611787A - Plagiarism evaluation method, system and auxiliary writing system - Google Patents
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Abstract
The invention discloses a plagiarism evaluation method, a plagiarism evaluation system and an auxiliary writing system, wherein the method comprises the following steps: receiving a reference text and a text to be evaluated, calculating the similarity of the text to be evaluated and the reference text, displaying a similarity detection result, so that the teacher can clearly know the plagiarism condition, can give out a targeted evaluation suggestion based on the similarity detection result, and inputting evaluation information, the system can generate an evaluation report based on the similarity detection result and the evaluation information, and the evaluation report is sent to the user account to which the text to be evaluated belongs, namely the student account, so that the students can clearly and clearly determine the plagiarism condition in the text, and the advice and knowledge for avoiding plagiarism and improving writing are obtained based on the evaluation information of teachers, and the plagiarism evaluation mode of measurement and evaluation enables teachers and students to participate in the evaluation, so that the evaluation is more real and specific, the referential property is improved, and the technical problem of low referential property of the existing plagiarism evaluation method is solved.
Description
Technical Field
The invention belongs to the technical field of intelligent information processing, and particularly relates to a plagiarism evaluation method, a plagiarism evaluation system and an auxiliary writing system.
Background
At present, the problem of plagiarism in writing in schools is increasingly serious, and teachers can only evaluate the plagiarism problem in student works by virtue of own teaching experiences, but cannot accurately judge whether plagiarism exists and how much plagiarism exists; moreover, due to limited time and energy, teachers cannot analyze and judge the plagiarism condition of the student works one by one.
Some plagiarism detection methods are developed in the prior art, and can evaluate plagiarism conditions through text similarity detection, but often cause a problem for teachers, because the conventional plagiarism detection methods only provide limited detection result values on one hand, and lack participation of teachers on the other hand, so that only 'detection' but no 'evaluation' is performed, and the conventional plagiarism detection has low referential property.
Disclosure of Invention
The application provides a plagiarism evaluation method, a plagiarism evaluation system and an auxiliary writing system, and solves the technical problem that the existing plagiarism evaluation method is low in referential property.
In order to solve the technical problems, the application adopts the following technical scheme:
a plagiarism evaluation method is provided, which comprises the following steps: receiving a reference text and a text to be evaluated; calculating the similarity of the text to be evaluated and the reference text; displaying a similarity detection result and receiving input evaluation information; and generating an evaluation report based on the similarity detection result and the evaluation information, and sending the evaluation report to a user account to which the text to be evaluated belongs.
The plagiarism evaluation system 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 for receiving a reference text and a text to be evaluated; the similarity detection module is used for calculating the similarity of the text to be evaluated and the reference text; the display module is used for displaying the similarity detection result; the plagiarism evaluation module is used for receiving input evaluation information; the evaluation report generating module is used for generating an evaluation report based on the similarity detection result and the evaluation information; and the evaluation output module is used for sending the evaluation report to a user account to which the text to be evaluated belongs.
The auxiliary writing system comprises an online evaluation module, a academic information statistics module and the plagiarism evaluation system; the online evaluation module is used for inputting evaluation information so that the plagiarism evaluation system generates an evaluation report based on the similarity detection result and the evaluation information; and the academic information statistics module is used for counting the similarity detection results and/or evaluation information of all texts to be evaluated.
Compared with the prior art, the application has the advantages and positive effects that: according to the plagiarism evaluation method, the plagiarism evaluation system and the auxiliary writing system, a teacher uploads a selected reference text and a text to be evaluated of a student in the system, similarity of the text to be evaluated compared with the reference text is calculated based on the existing similarity detection method, and a similarity detection result is displayed, so that the teacher can clearly know the plagiarism condition, a targeted evaluation suggestion can be given based on the similarity detection result, a generated evaluation report is fed back to a student account, the student clearly defines the plagiarism condition in the text, and suggestions and knowledge for avoiding plagiarism and improving writing are obtained based on evaluation information of a teacher; the text to be evaluated can be sent to other students, so that the other students participate in evaluation and give out second evaluation information, on one hand, the second evaluation information of the text to be evaluated of the other students is sent to an author of the text to be evaluated, and on the other hand, the second evaluation information given out by the other students can be counted and fed back to the teacher; the method has the advantages that students can be prompted to participate in evaluation, works of other classmates can be evaluated to conduct backstep and mutual learning, and teachers can be assisted to conduct comprehensive evaluation on the writing quality of the whole class.
Other features and advantages of the present application will become more apparent from the detailed description of the embodiments of the present application when taken in conjunction with the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a plagiarism evaluation method proposed by the present application;
FIG. 2 is an architecture diagram of a plagiarism evaluation system as proposed in the present application;
FIG. 3 is a schematic diagram of an input interface of the plagiarism evaluation system proposed in the present application;
fig. 4 is a schematic display interface diagram of a plagiarism evaluation system provided by the present application.
Detailed Description
The following describes embodiments of the present application in further detail with reference to the accompanying drawings.
The plagiarism evaluation method provided by the application is shown in fig. 1 and comprises the following steps:
step S11: and receiving the reference text and the text to be evaluated.
By combining the plagiarism evaluation method provided by the application, an evaluation APP is created, and after a teacher registers and logs in an APP account, a reference text and a text to be evaluated can be loaded or uploaded based on prompts; the reference text is a text which is selected by a teacher according to the actual homework condition, or can be an existing database link, and the text to be evaluated is a homework text of a student; as shown in the example of the evaluation APP interface shown in fig. 3, in the file option, the teacher may add a reference text and a text to be evaluated in the option by dragging, pasting, loading a link, and the like; the text format is not particularly limited, and the maximum number of reference texts which can be added can be limited by setting; in addition, the teacher may set a plagiarism threshold, a minimum detection unit, a list of helpwords, etc. through the provided options or input window.
Step S12: and calculating the similarity of the text to be evaluated and the reference text.
As shown in fig. 3, the teacher clicks "start analysis" to send out a plagiarism evaluation instruction, the system automatically runs a technology such as a dynamic programming algorithm to traverse the sentences of the reference text and the text to be evaluated to perform text similarity comparison, and temporarily stores the text part larger than the plagiarism threshold value in the comparison process.
Step S13: and displaying the similarity detection result and receiving the input evaluation information.
In the embodiment of the application, as shown in fig. 4, a first window 41 and a second window 42 are established and displayed in an evaluation APP interface, a reference text is displayed in the first window 41, and a text to be evaluated is displayed in the second window 42; and displaying texts with the similarity higher than a plagiarism threshold value in the reference text and the text to be evaluated according to a set rule; the setting rules are, for example, highlighted, displayed in special colors, underlined, bolded and the like, and the application is not limited, so that a teacher can intuitively know the text content of the part exceeding the plagiarism threshold value, the text of the part to be plagiarized corresponding to the reference text and the like, the review of the teacher on the detection result is improved in a visualized mode, and the teacher can conveniently perform evaluation and analysis according to the detection result.
In the embodiment of the application, the similarity value of the text related sentences is displayed by the floating window 43 at the side of the text with the similarity higher than the plagiarism threshold, and/or the teacher can select the text content with the similarity higher than the plagiarism threshold by means of mouse, touch selection and the like, and display the number of words of the selected text content.
As shown in fig. 4, in the embodiment of the present application, a first window 41 and a second window 42 are displayed in parallel, and each of the two windows has a progress bar, so that content browsing can be performed independently. When the teacher clicks the plagiarism part of the text to be evaluated in the second window, the text corresponding to the plagiarism part in the reference text is displayed in parallel in the first window, so that all the texts higher than the plagiarism threshold value are viewed, specifically, for example, when the second window is clicked, namely the text window to be evaluated clicks a highlight area, the text corresponding to the plagiarism part in the reference text is highlighted in response to the second window in the first window.
The teacher inputs evaluation information such as opinions, suggestions, plagiarism analysis, recommended materials and the like for the works of the students based on the displayed evaluation results in combination with own analysis.
Step S14: and generating an evaluation report based on the similarity detection result and the evaluation information, and sending the evaluation report to a user account to which the text to be evaluated belongs.
The system generates an evaluation report through statistics according to the similarity detection result and the received evaluation information input by the teacher, and sends the evaluation report to a user account to which the text to be evaluated belongs, namely a student account for creating the text to be evaluated.
After the students register and log in the evaluation APP, the students can upload own works based on the evaluation APP and receive evaluation reports fed back by teachers to know the evaluation conditions of the works so as to find problems and solve the problems based on evaluation information of the teachers.
In the embodiment of the application, after generating the evaluation report based on the similarity detection result and the evaluation information, the method further includes the following steps:
step S15: and sending the text to be evaluated to an account except the user to which the text to be evaluated belongs.
The teacher can send the text to be evaluated of the student A to accounts of students B, C and D … … except the student A, hide the identification information of the text to be evaluated, namely send the text anonymously, so that the students B, C and D … … evaluate the works of the student A when receiving the text to be evaluated, input second evaluation information according to self understanding and feed the second evaluation information back to the system, and mainly indicate a problem and propose a modification suggestion.
Step S16: receiving second evaluation information sent by an account except for a user to which the text to be evaluated belongs; after the system receives the second evaluation information, step S17: sending the second evaluation information to a user account to which the text to be evaluated belongs; and/or, step S18: and counting and displaying the second evaluation information.
In step S17, the second evaluation information is sent to the account of student a for reference by student a, and the second evaluation information may be sent separately or may be sent to the account of student a together with the similarity detection result and the evaluation information given by the teacher by adding an evaluation report.
In step S18, the system receives the second evaluation information transmitted from the other student accounts, and then counts the evaluation information of all the students and displays the evaluation information in the teacher account. Through the mode, students can not only obtain the evaluation of teachers, but also can obtain the evaluation of classmates, and the students can obtain the understanding of writing and the thinking of own works by reading other works of classmates.
In the embodiment of the application, a teacher can also select evaluation reports of a part of students to be sent to the students for sharing, so that the students can summarize problems or study from the evaluation reports of other students, specifically, an evaluation report list is established and displayed in an evaluation APP interface, after the evaluation reports are generated based on the similarity detection results and the evaluation information in step S14, the generated evaluation reports are added to the evaluation report list, so that the teacher can select, for example, select excellent works with low similarity detection results, so that the system generates a shared evaluation package based on an input selection instruction, and sends the shared evaluation package to a designated account; wherein the selection instruction is used for selecting at least one evaluation report; that is, the student works with low plagiarism degree and the evaluation reports thereof are packaged to generate a sharing evaluation package and then are shared to all students.
In the embodiment of the application, the evaluation reports of all texts to be evaluated are analyzed and counted, for example, the number and the proportion of works which do not exceed a plagiarism threshold value, the number and the range of reference texts related to plagiarism in the works which exceed the plagiarism threshold value, the plagiarism proportion of the plagiarism reference texts and the like are counted and displayed in a visual mode for a teacher to refer to, so that the teacher can more comprehensively know the plagiarism situation in the student works, and the evaluation method is beneficial to improving teaching strategies after reference and improving teaching quality.
In the embodiment of the application, the generated evaluation report is stored, and a single or batch downloading link is provided for downloading reference.
Based on the plagiarism evaluation method, the application also provides 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, an evaluation report generation module 25 and an evaluation output module 26; the text acquisition module 21 is configured to receive a reference text and a text to be evaluated; the similarity detection module 22 is used for calculating the similarity of the text to be evaluated and the reference text; the display module 23 is configured to display a similarity detection result; the plagiarism evaluation module 24 is used for receiving input evaluation information; the evaluation report generating module 25 is configured to generate an evaluation report based on the similarity detection result and the evaluation information; the evaluation output module 26 is used for sending an evaluation report to a user account to which the text to be evaluated belongs.
The system also comprises a mutual evaluation module 33 and/or a shared evaluation module 27, wherein the mutual evaluation module 33 is used for sending the text to be evaluated to accounts except the user to which the text to be evaluated belongs, receiving second evaluation information sent by the accounts except the user to which the text to be evaluated belongs, and sending the second evaluation information to the user account to which the text to be evaluated belongs; the shared evaluating module 27 is configured to receive second evaluation information sent by an account other than the user to which the text to be evaluated belongs, and count the second evaluation information; the display module 23 is further configured to display the counted second evaluation information; the mutual evaluation module 33 comprises a first anonymization unit 331 for hiding the identification information of the user giving the second evaluation information when the second evaluation information is sent to the user account to which the text to be evaluated belongs.
The system also comprises an evaluation report adding module 28, a sharing evaluation package generating module 29 and a sharing module 30; the evaluation report adding module 28 is configured to add an evaluation report to the evaluation report list after generating the evaluation report based on the similarity detection result and the evaluation information; the sharing evaluation package generation module 29 is used for generating a sharing evaluation package based on the input selection instruction; wherein the selection instruction is used for selecting at least one evaluation report; the sharing module 30 is configured to send a shared evaluation package to the designated account, and the sharing module 30 includes a second anonymizing unit 301 configured to conceal identification information corresponding to all evaluation reports before sending the shared evaluation package to the designated account.
In the embodiment of the present application, the display module 23 includes a window creating unit 231, a display unit 232, a labeling unit 233, a floating window creating unit 234 and/or a word counting unit 235; the window creating unit 231 is configured to create and display a first window and a second window; the display unit 232 is configured to display the reference text in the first window, and display the text to be evaluated in the second window; the marking unit 233 is configured to display, in the text to be evaluated, the text with the similarity higher than the plagiarism threshold value according to a set rule; the floating window establishing unit 234 is configured to establish a floating window at a text side with similarity higher than a plagiarism threshold, and display the similarity of a text related sentence in the floating window; the word count unit 235 is for displaying the number of selected words when text content above a plagiarism threshold is selected.
The specific evaluation method of the plagiarism evaluation system has been described in detail in the plagiarism evaluation method proposed above, and is not described herein again.
Based on the plagiarism evaluation system, the application also provides an auxiliary writing system, which comprises an online evaluation module 31, a statistical module 32 and the plagiarism evaluation system; the online evaluation system 31 is used for the teacher to input evaluation information related to the quality evaluation, the opinion and the suggestion of the text to be evaluated of the student, and the student to input second evaluation information related to the quality of the text to be evaluated of the student; the statistic module 32 is used for counting the similarity detection result, the evaluation information made by the teacher and the second evaluation information mutually evaluated by the students and presenting the result to the teacher, so that the students can obtain the evaluation of the teacher and the evaluation of the students, and the students can learn and think back by reading the works of the students.
In the plagiarism evaluation method, the plagiarism evaluation system and the auxiliary writing system, a teacher uploads a selected reference text and a text to be evaluated of a student in the system, the similarity of the text to be evaluated compared with the reference text is calculated based on the existing similarity detection method, and the similarity detection result is displayed, so that the teacher can clearly know the plagiarism condition, a targeted evaluation suggestion can be given based on the similarity detection result, the generated evaluation report is fed back to a student account, so that the student clearly defines the plagiarism condition in the text, and suggestions and knowledge for avoiding plagiarism and improving writing are obtained based on evaluation information of a teacher; the text to be evaluated can be sent to other students to be evaluated, so that the text to be evaluated participates in evaluation and gives second evaluation information, the second evaluation information given by other students is counted and fed back to the teacher, on one hand, the students participate in the evaluation, the students can perform thinking resistance and learning based on works of classmates, and the teacher can be assisted to perform comprehensive evaluation on the writing quality of the whole class.
It should be noted that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art should also make changes, modifications, additions or substitutions within the spirit and scope of the present invention.
Claims (10)
1. The plagiarism evaluation method is characterized by comprising the following steps:
receiving a reference text and a text to be evaluated;
calculating the similarity of the text to be evaluated and the reference text;
displaying a similarity detection result and receiving input evaluation information;
and generating an evaluation report based on the similarity detection result and the evaluation information, and sending the evaluation report to a user account to which the text to be evaluated belongs.
2. The plagiarism evaluation method of claim 1, further comprising:
sending the text to be evaluated to an account except for the user to which the text to be evaluated belongs; thereafter, the method further comprises:
receiving second evaluation information sent by an account except for the user to which the text to be evaluated belongs;
sending the second evaluation information to a user account to which the text to be evaluated belongs; and/or the presence of a gas in the gas,
and counting and displaying the second evaluation information.
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:
and hiding the identification information of the text to be evaluated.
4. The plagiarism evaluation method of 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 an evaluation report list;
generating a sharing evaluation package based on the input selection instruction;
sending the sharing evaluation package to a designated account;
wherein the selection instruction is used for selecting at least one evaluation report.
5. The plagiarism evaluation method according to claim 1, wherein displaying the similarity detection result specifically comprises:
establishing and displaying a first window and a second window;
displaying a reference text in the first window, and displaying a text to be evaluated in the second window; displaying texts with similarity higher than plagiarism threshold values in the reference text and the text to be evaluated according to set rules; and displaying the similarity of the text related sentences in a floating window at the side of the text with the similarity higher than the plagiarism threshold, and/or displaying the number of selected words when the text content with the similarity higher than the plagiarism threshold is selected.
6. The plagiarism evaluation system is characterized by comprising 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 a reference text and a text to be evaluated;
the similarity detection module is used for calculating the similarity of the text to be evaluated and the reference text;
the display module is used for displaying the similarity detection result;
the plagiarism evaluation module is used for receiving input evaluation information;
the evaluation report generating module is used for generating an evaluation report based on the similarity detection result and the evaluation information;
and the evaluation output module is used for sending the evaluation report to a user account to which the text to be evaluated belongs.
7. The plagiarism evaluation system of claim 6, further comprising a mutual evaluation module and/or a shared evaluation module;
the mutual evaluation module is used for sending the text to be evaluated to an account except for the user to which the text to be evaluated belongs, receiving second evaluation information sent by the account except for the user to which the text to be evaluated belongs, and sending the second evaluation information to the user account to which the text to be evaluated belongs; the shared evaluation module is used for receiving second evaluation information sent by an account except for the user to which the text to be evaluated belongs and counting the second evaluation information; the display module is further used for displaying the counted second evaluation information.
8. The plagiarism evaluation system according to claim 6, further comprising an evaluation report adding module, a shared evaluation package generating module and a sharing module;
the evaluation report adding module is used for adding an evaluation report to an evaluation report list after the evaluation report is generated based on the similarity detection result and the evaluation information;
the shared evaluating packet generating module is used for generating a shared evaluating packet based on an input selection instruction; wherein the selection instruction is used for selecting at least one evaluation report;
and the sharing module is used for sending the sharing evaluation package to a specified account.
9. The plagiarism evaluation system according to claim 6, wherein the display module comprises a window establishing unit, a display unit and a labeling unit, and a floating window establishing unit and/or a word counting unit;
the window establishing unit is used for establishing and displaying a first window and a second window;
the display unit is used for displaying the reference text in the first window and displaying the text to be evaluated in the second window; the marking unit is used for displaying the text with the similarity higher than the plagiarism threshold value in the text to be evaluated according to a set rule;
the floating window establishing unit is used for establishing a floating window at the side of the text with the similarity higher than the plagiarism threshold value and displaying the similarity of the text related sentences in the floating window;
and the word counting unit is used for displaying the selected word number when the text content higher than the plagiarism threshold is selected.
10. An auxiliary writing system, which is characterized by comprising an online evaluation module, a academic information statistics module and a plagiarism evaluation system according to any one of claims 6 to 9;
the online evaluation module is used for inputting evaluation information so that the plagiarism evaluation system generates an evaluation report based on the similarity detection result and the evaluation information;
and the academic information statistics module is used for counting the similarity detection results and/or evaluation information of all texts to be evaluated.
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| 蔡晓君;: "我国高校中文学位论文相似度检测技术研究", no. 02 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112465387A (en) * | 2020-12-11 | 2021-03-09 | 化雨教育科技(佛山市)有限公司 | Image work evaluation service control method and device and electronic equipment |
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