Teaching aid book intelligent correcting and editing system

Abstract

The invention discloses a teaching aid book intelligent correction and editing system, which comprises a knowledge graph construction module used for collecting authoritative teaching materials, academic literatures, teaching programs and other data, constructing a knowledge graph covering knowledge points of each subject by applying a natural language processing technology and a knowledge extraction algorithm, and establishing an association relationship among the knowledge points, and a text analysis module used for analyzing the association relationship among the knowledge points. An input teaching aid book text can be split into sentences and paragraphs, the technologies of part-of-speech tagging, syntactic analysis and the like are utilized, information such as keywords and key phrases is extracted, the grammatical structure and semantic information of the text are analyzed, and the intelligent proofreading module is used for conducting intelligent proofreading on the basis of a knowledge graph constructed by the knowledge graph construction module and an analysis result of the text analysis module. The knowledge points in the text are compared with the standard knowledge points in the knowledge graph, omissions possibly caused by manual correction and editing are effectively avoided, the correction and editing quality is improved, the workload of manual correction and editing is greatly reduced, and the correction and editing speed is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching auxiliary books, and particularly to an intelligent proofreading and editing system for teaching auxiliary books. Background Art

[0002] With the rapid development of the education industry, the market demand for teaching auxiliary books is increasing day by day. However, at present, the proofreading and editing work of teaching auxiliary books mainly relies on manual labor, which not only consumes a large amount of manpower and time, but also is prone to omissions, resulting in uneven proofreading and editing quality. At the same time, it is difficult for manual proofreading and editing to comprehensively and accurately sort out and compare a huge knowledge system, and it is impossible to timely discover and correct problems such as knowledge point errors, logical loopholes, and mismatches with the teaching syllabus in textbooks. In addition, for teaching auxiliary books of different versions and different subjects, there is a lack of a unified and efficient proofreading and editing platform, which is difficult to meet the diverse proofreading and editing needs. Summary of the Invention

[0003] In order to solve the problems of low efficiency, unstable quality, and lack of a unified proofreading and editing platform in the existing proofreading and editing work of teaching auxiliary books, the present invention provides an intelligent proofreading and editing system for teaching auxiliary books.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: An intelligent proofreading and editing system for teaching auxiliary books, comprising:

[0005] A knowledge graph construction module, which is used to collect materials such as authoritative textbooks, academic documents, and teaching syllabuses, and use natural language processing technology and knowledge extraction algorithms to construct a knowledge graph covering knowledge points of various disciplines, and establish the association relationships between knowledge points;

[0006] This module is used to construct a knowledge graph covering knowledge points of various disciplines. By collecting a large number of authoritative textbooks, academic documents, teaching syllabuses and other materials, using natural language processing technology and knowledge extraction algorithms, it extracts information such as knowledge points, concepts, theorems, formulas, etc., and establishes the association relationships between them. For example, in the knowledge graph of mathematics discipline, knowledge points such as functions, equations, and geometric figures are associated according to their internal logical relationships to form an organic knowledge network.

[0007] A text parsing module, which can split the input text of teaching auxiliary books into sentences and paragraphs, and use techniques such as part-of-speech tagging and syntactic analysis to extract information such as keywords and key phrases, and analyze the grammatical structure and semantic information of the text;

[0008] It can parse the input teaching supplementary book text, split it into sentences and paragraphs, and extract information such as keywords and key phrases. By using techniques such as part-of-speech tagging and syntactic analysis, it analyzes the grammatical structure and semantic information of the text, providing a basis for subsequent proofreading and editing. For example, for the sentence "The sum of the interior angles of a triangle is equal to 180 degrees", the text parsing module can identify keywords such as "triangle", "sum of interior angles", and "180 degrees", and analyze the subject-predicate-object structure of this sentence.

[0009] The intelligent proofreading module, based on the knowledge graph constructed by the knowledge graph construction module and the parsing results of the text parsing module, compares the knowledge points in the text with the standard knowledge points in the knowledge graph to check for problems such as incorrect knowledge points, conceptual confusion, and inaccurate expressions. At the same time, it checks for grammar errors, spelling mistakes, and punctuation errors in the text;

[0010] Based on the knowledge graph and text parsing results, it conducts intelligent proofreading on the teaching supplementary book text. By comparing with the standard knowledge points in the knowledge graph, it checks whether there are problems such as incorrect knowledge points, conceptual confusion, and inaccurate expressions in the text. For example, if the text says "The sum of the interior angles of a triangle is equal to 360 degrees", the intelligent proofreading module can, based on the correct information in the knowledge graph, determine that this expression is incorrect and give modification suggestions. At the same time, this module can also check for conventional problems such as grammar errors, spelling mistakes, and punctuation errors in the text.

[0011] The logical verification module analyzes the content logic of the teaching supplementary book, checks the logical coherence between chapters and paragraphs, determines whether there are problems such as logical jumps and contradictions, and gives prompt information;

[0012] Verifies the content logic of the teaching supplementary book. Analyzes the logical coherence between chapters and paragraphs, and checks whether there are problems such as logical jumps and contradictions. For example, in a physics teaching supplementary book, if the previous chapter expounds Newton's first law, and the subsequent chapter suddenly uses Newton's second law for calculation without mentioning any preconditions, the logical verification module can identify this problem of logical incoherence and prompt the editor to make modifications.

[0013] The personalized editing module annotates and modifies the content of the teaching supplementary book according to the teaching experience and teaching style of teacher users, adds or deletes teaching cases, exercises, etc. At the same time, according to the learning situation of student users, it marks key and difficult knowledge points, sets personalized learning plans, and can optimize the editing function according to user feedback;

[0014] Provide personalized editing functions according to the needs of different users. Teacher users can annotate, modify the content of teaching supplementary books according to their teaching experience and styles, add or delete some teaching cases, exercises, etc. Student users can mark key and difficult knowledge points and set personalized learning plans according to their learning situations. At the same time, this module can also continuously optimize the editing functions according to user feedback to improve the user experience.

[0015] The data storage and management module uses database technology to classify and store various data such as the original book text, proofreading results, editing records, and user feedback generated during the proofreading and editing process, ensuring the security and retrievability of the data;

[0016] Used to store and manage various data generated during the proofreading and editing process, including the original book text, proofreading results, editing records, user feedback, etc. Adopt database technology to classify and store the data to ensure the security and retrievability of the data. For example, store the data of teaching supplementary books of different disciplines and different versions in different database tables for easy user query and management.

[0017] Preferably, the process of constructing the knowledge graph by the knowledge graph construction module includes: collecting authoritative materials of each discipline to establish an original data set, preprocessing the text in the original data set using lexical analysis, syntactic analysis, and semantic analysis tools in natural language processing technology, extracting information such as knowledge points, concepts, theorems, and formulas, using knowledge extraction algorithms such as named entity recognition and relationship extraction to identify the association relationships between knowledge points, and updating the knowledge graph regularly.

[0018] Preferably, the text parsing module uses a part-of-speech tagging tool to tag the part of speech of each word in the text, uses a syntactic analysis algorithm to determine the subject, predicate, object, attributive, adverbial, complement, etc. of the sentence, and extracts information related to knowledge points.

[0019] Preferably, for the discovered knowledge point errors, the intelligent proofreading module gives modification suggestions according to the correct information in the knowledge graph, uses a language model and a grammar rule library to check and correct the grammar of the text, and feeds back the proofreading results to the editors.

[0020] Preferably, the logical verification module works in cooperation with the intelligent proofreading module to ensure that the text after proofreading and editing is accurate both in terms of knowledge points and logic.

[0021] Preferably, the data storage and management module regularly backs up the database, mines user needs and system usage situations through data analysis, and provides a basis for system optimization.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. Through intelligent proofreading and editing functions, the workload of manual proofreading and editing is greatly reduced, and the proofreading and editing speed is improved. For example, the proofreading and editing work of a teaching aid book that originally took several days for manual labor may only take a few hours to complete using this system.

[0024] 2. Based on the knowledge graph and intelligent algorithms, it can comprehensively and accurately proofread and edit teaching aid books, effectively avoiding omissions that may occur in manual proofreading and editing, and improving the quality of proofreading and editing. For example, the intelligent proofreading module can detect knowledge point errors and logical loopholes that are difficult to detect manually, ensuring the accuracy and scientific nature of teaching aid books.

[0025] 3. It meets the needs of different users and provides a personalized proofreading and editing platform for teachers and students. Teachers can customize the editing of teaching aid books according to their teaching needs, and students can also personalize their learning based on their own learning situations, improving the practicality and pertinence of teaching aid books.

[0026] 4. The data storage and management module can effectively manage various data during the proofreading and editing process, facilitating users to query and trace back. At the same time, by analyzing the user feedback data, the functions and performance of the system can be continuously optimized to improve user satisfaction. Description of the Drawings

[0027] The drawings described herein are used to provide a further understanding of the present invention and form a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0028] Figure 1 It is a schematic diagram of the overall process of the present invention. Detailed Embodiments

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0030] Embodiment: Refer to Figure 1 -8, an intelligent proofreading and editing system for teaching aid books, including a knowledge graph construction module, which collects materials such as authoritative textbooks, academic literature, and teaching syllabuses of various disciplines, establishes an original data set, and uses tools such as lexical analysis, syntactic analysis, and semantic analysis in natural language processing technology to preprocess the text in the original data set, extract information such as knowledge points, concepts, theorems, and formulas, and adopts knowledge extraction algorithms such as named entity recognition and relationship extraction to identify the association relationships between knowledge points and constructs them into a knowledge graph, and regularly updates the knowledge graph to ensure that it can reflect the latest subject knowledge and educational trends.

[0031] In the present invention, the teaching supplementary book text to be proofread and edited is imported into the system through text parsing. The text parsing module automatically parses it, uses a part-of-speech tagging tool to tag the part of speech of each word in the text, such as nouns, verbs, adjectives, etc., applies a syntactic analysis algorithm to analyze the grammatical structure of the sentence, determines the subject, predicate, object, attributive, adverbial, complement, etc. of the sentence, and extracts the keywords, key phrases, and information related to knowledge points in the text.

[0032] In the present invention, the intelligent proofreading module compares the text parsing result with the standard knowledge points in the knowledge graph to check whether there are knowledge point errors in the text, such as concept confusion, theorem application errors, etc. For the discovered errors, modification suggestions are given according to the correct information in the knowledge graph, and conventional problems such as grammar errors, spelling errors, and punctuation errors in the text are checked. Using a language model and a grammar rule library, the text is grammatically checked, errors are identified and corrected, and the proofreading result is fed back to the editors, who can make modifications or confirmations according to the suggestions.

[0033] In the present invention, the logical verification module analyzes the content logic of the teaching supplementary book, checks the logical coherence between chapters and paragraphs, and determines whether there are problems such as logical jumps and contradictions. For the discovered logical problems, detailed prompt information is given to help the editors make modifications, and it works in coordination with the intelligent proofreading module to ensure that the proofread and edited text is accurate both in terms of knowledge points and logic.

[0034] In the present invention, by setting up a personalized editing module, after the teacher user logs in to the system, they can, according to their teaching experience and teaching style, annotate and modify the content of the teaching supplementary book. Teachers can add or delete teaching cases, exercise questions, etc., and adjust the order and focus of the teaching content to meet their teaching needs. After the student user logs in to the system, they can, according to their learning situation, mark the key and difficult knowledge points and set a personalized learning plan. The system continuously optimizes the personalized editing function according to the user feedback to improve the user experience.

[0035] In the present invention, through the data storage and management module, various data generated during the proofreading and editing process, including the original book text, proofreading results, editing records, user feedback, etc., are stored in the database. The data is classified and stored, for example, classified according to subject, version, user type, etc., to facilitate user query and management. The database is regularly backed up to ensure data security. At the same time, through the analysis of the data, user needs and system usage conditions are mined to provide a basis for system optimization.

[0036] As described above, it is only the preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes, shall be covered by the protection scope of the present invention.

Claims

1. An intelligent proofreading system for supplementary teaching books, characterized in that: include: The knowledge graph construction module is used to collect authoritative textbooks, academic literature, teaching syllabi and other materials, use natural language processing technology and knowledge extraction algorithms to build a knowledge graph covering knowledge points of various disciplines, and establish the relationship between knowledge points; The text parsing module can split the input supplementary book text into sentences and paragraphs, extract keywords, key phrases and other information by using part-of-speech tagging, syntactic analysis and other technologies, and analyze the grammatical structure and semantic information of the text; The intelligent proofreading module compares the knowledge points in the text with the standard knowledge points in the knowledge graph based on the knowledge graph constructed by the knowledge graph construction module and the parsing results of the text parsing module to check whether there are any knowledge point errors, concept confusion, inaccurate expressions, etc., and also checks the text for grammatical errors, spelling errors, and punctuation errors; The logic verification module analyzes the content logic of supplementary books, checks the logical coherence between chapters and paragraphs, determines whether there are logical jumps, inconsistencies, etc., and gives prompt information; Personalized editing module: according to the teaching experience and teaching style of teachers, the content of teaching supplementary books can be annotated and modified, and teaching cases and exercises can be added or deleted. At the same time, according to the learning situation of students, key and difficult knowledge can be marked, personalized learning plans can be set, and editing functions can be optimized according to user feedback; The data storage and management module uses database technology to classify and store various data generated during the proofreading process, such as original book texts, proofreading results, editing records, user feedback, etc., to ensure the security and searchability of the data.

2. The intelligent proofreading system for supplementary teaching books according to claim 1 is characterized in that: The process of constructing a knowledge graph by the knowledge graph construction module includes: collecting authoritative information from various disciplines to establish an original data set, using lexical analysis, syntactic analysis, and semantic analysis tools in natural language processing technology to pre-process the text in the original data set, extracting knowledge points, concepts, theorems, formulas and other information, using knowledge extraction algorithms such as named entity recognition and relationship extraction to identify the association between knowledge points, and regularly updating the knowledge graph.

3. The intelligent proofreading system for supplementary teaching books according to claim 1 is characterized in that: The text parsing module uses a part-of-speech tagging tool to tag each word in the text, uses a syntactic analysis algorithm to determine the subject, predicate, object, attributive, adverbial, complement and other components of the sentence, and extracts information related to the knowledge point.

4. The intelligent proofreading system for supplementary teaching books according to claim 1 is characterized in that: The intelligent proofreading module gives modification suggestions for the discovered knowledge point errors based on the correct information in the knowledge graph, uses the language model and grammar rule library to check the text grammar and correct errors, and feeds back the proofreading results to the editor.

5. The intelligent proofreading system for supplementary teaching books according to claim 1 is characterized in that: The logic verification module works in conjunction with the intelligent proofreading module to ensure that the proofread text is accurate in terms of knowledge points and logic.

6. The intelligent proofreading system for supplementary teaching books according to claim 1 is characterized in that: The data storage and management module backs up the database regularly, and mines user needs and system usage through data analysis to provide a basis for system optimization.

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