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A multi-language paper intelligent examination system

A review system and multilingual technology, applied in text database query, natural language data processing, unstructured text data retrieval, etc., can solve problems such as unsatisfactory article retrieval requirements, improve innovation and initiative, and increase attention degree of effect

Inactive Publication Date: 2019-04-26
胡森博
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is obviously unable to meet the retrieval needs of individual students or schools at any time

Method used

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  • A multi-language paper intelligent examination system

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Experimental program
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Effect test

Embodiment 1

[0025] Such as figure 1 As shown, the multilingual paper intelligent examination system according to the embodiment of the present invention includes an input data retrieval module 1, a database unit 2, an information extraction module 3 and a calculation module 4, and the input data retrieval module 1 communicates with the Described database unit 2 is connected, and described database unit 2 is connected with described information extraction module 3 by communication module two 6, and described information extraction module 3 is connected with described computing module 4 by communication module three 7;

[0026] Wherein, the input data retrieval module 1 includes a paragraph retrieval module 8, a sentence retrieval module 9, a common word and a keyword retrieval module 10, an article structure frame retrieval module 11, a long sentence retrieval module 12 and a short sentence retrieval module 13 connected in sequence , the database unit 2 includes a paper database 14, a book...

Embodiment 2

[0028] Such as figure 1 As shown, the information extraction module 3 extracts titles, abstracts, keywords, CLC numbers, document identifiers, subtitles, graphics, charts, author profiles and English part information from the document and stores them in the standardized database 31 , the Chinese and foreign language segmentation module 23 is used to carry out word segmentation to each material in the paper, and the Chinese and foreign language segmentation results are saved in the calculation module 4, and the Chinese and foreign language segmentation modules compare the part of speech that the segmentation results and the thesaurus store preserve Yes, determine the part of speech of the Chinese and foreign word segmentation results, the database unit 2 is used to record the word segmentation and the corresponding part of speech, and form a group of Chinese and foreign word segmentation with the same or similar meaning, and number the group as a unit.

Embodiment 3

[0030] Such as figure 1 As shown, the comparison unit 32 compares the paper with the standardized database 31, and adds or selects to select, add, view details, modify or delete the standards in the standardized database, and the detection unit 33 is used to judge that the current user is to be identified The document and the data document in the database unit 2 are compared and detected, and the detailed checking unit 36 ​​is to store and record the addition and modification information of the document, so that the user can consult the modified content at any time. The free vector dimension of the Chinese and foreign word segmentation results is classified, and the free vector dimension of the Chinese and foreign word segmentation module 23 is equal to the number of different Chinese and foreign word segmentation obtained after the specific material is segmented, and the article structure framework retrieval Module 11 performs sentence segmentation processing on the text, and...

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Abstract

The invention discloses a multi-language paper intelligent examination system. The system comprises an input data retrieval module, Database unit, an information extraction module and a calculation module, The input data retrieval module is connected with the database unit through a first communication module. the database unit is connected with the information extraction module through a communication module II; The information extraction module is connected with the calculation module through a third communication module, and the input data retrieval module comprises a paragraph retrieval module, a statement retrieval module, a common word and keyword retrieval module, an article structure framework retrieval module and a long sentence retrieval module. Beneficial effects are as follows:the feed additive is Moreover, from the perspective of paper formats, the system supports paper guidance of teachers and college related departments to realize automatic, rapid and intelligent examination and evaluation of student paper quality, and can also upload own paper to the system so as to share own writing experience and related errors with other users, thereby better standardizing the writing of the users on the paper.

Description

technical field [0001] The invention relates to the technical field of computer automatic detection and editing, in particular to an intelligent review system for multilingual papers. Background technique [0002] Due to the overall rise of network information technology, communication technology, digital library and digital distributed media, it provides necessary conditions for efficient sharing and dissemination of information resources. These emerging network resources have become the media for storing information resources in contemporary society. Since most of the information resources stored on the Internet are stored on an open and shared platform, people can obtain and disseminate such information more conveniently, quickly and efficiently. But at the same time, it provides an ideal breeding ground for plagiarists, making plagiarism more concise and convenient. [0003] According to China No. 201020177813.5, a cloud retrieval system is disclosed, in which a user t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06Q50/20G06F16/33G06F17/27
CPCG06F40/289G06Q10/10G06Q50/205
Inventor 胡森博郝然王晓磊陈子桐张富源鲍鸿飞
Owner 胡森博
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