Digital enterprise writing auxiliary system and method integrating term sets and style rules

Abstract

The invention discloses a digital enterprise writing auxiliary system and method integrating a term set and a style rule, and relates to the technical field of enterprise informatization and natural language processing. High consistency and specialty of enterprise content in terms use and style expression are ensured, a term set management module establishes a standardized term database, a refined writing specification is defined through a style rule management module, and when a user inputs a text in a user interface module, the user can use the text in the user interface module. The text analysis module carries out word segmentation and real-time deconstruction on grammar and semantic levels on a text, non-standard terms and fragments violating specific style rules can be accurately recognized, the suggestion generation module carries out fusion processing on analysis results and generates context-associated modification suggestions, and the working principle of deep integration is adopted, so that the accuracy and the reliability of the system are improved. Data streams of enterprise term management and style rule management are broken through, and deep integration and real-time linkage of the enterprise term management and the style rule management are realized.

Description

Technical Field

[0001] This invention relates to the fields of enterprise informatization and natural language processing technology, specifically to a digital enterprise writing assistance system and method that integrates terminology sets and style rules. Background Technology

[0002] In the process of enterprise digitalization, written documents are the core carrier for maintaining internal communication and external brand image. To ensure the consistency and professionalism of content, enterprises usually need to implement a unified terminology database and writing style specifications. However, traditional management methods rely heavily on static style manuals and manual review, a process that is inefficient and cannot guarantee comprehensive coverage. Some existing writing aids, such as general spell checkers or basic grammar correction software, can handle some superficial language problems, but their core design is not tailored to the enterprise-level, highly customized needs of terminology and style management, resulting in significant limitations in practical applications.

[0003] Current technologies for terminology management lack an integrated, dynamically maintainable enterprise-level terminology database. They cannot proactively and accurately recommend standard terms to authors during writing, nor can they identify and replace colloquial or outdated expressions, resulting in insufficient assurance of terminology consistency. Furthermore, regarding style guidelines, existing solutions often rely on rigid, non-configurable, and generic rule bases, making it difficult to adapt to the unique style, format, and compliance requirements of different companies or departments. Moreover, terminology checking and style verification functions are typically fragmented, failing to collaborate. This functional isolation forces authors to contend with potentially conflicting suggestions from different modules, failing to provide a comprehensive, context-aware assistance based on a unified knowledge source, ultimately impacting writing efficiency and final product quality.

[0004] Therefore, existing technologies cannot achieve deep integration and real-time assistance of terminology sets and style rules, and there is an urgent need for a digital assistance solution that can cover all enterprise writing scenarios, link data, and dynamically iterate. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a digital enterprise writing assistance system and method that integrates terminology sets and style rules. Through deep integration of terminology sets and style rules and real-time text analysis, it ensures a high degree of consistency and professionalism in the use of terminology and style expression in enterprise content. Its terminology set management module establishes a standardized terminology database, while the style rule management module defines refined writing specifications. When a user inputs text in the user interface module, the text analysis module performs real-time deconstruction of the text at the word segmentation, grammatical, and semantic levels. This process accurately identifies non-standard terms and fragments that violate specific style rules. The suggestion generation module integrates the analysis results to generate unified, context-sensitive modification suggestions. This deep integration working principle connects the data flow between enterprise terminology management and style rule management, achieving deep integration and real-time linkage between the two.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: On the one hand, a digital enterprise writing assistance system integrating terminology set and style rules, the system comprising: terminology set management module, style rule management module, text analysis module, suggestion generation module and user interface module;

[0007] The terminology set management module is used to build, store, and manage the enterprise's standardized terminology database. Each term entry in the standardized terminology database is associated with a definition, applicable context, and synonym information.

[0008] The style rule management module is used to store and configure a set of customizable enterprise writing style rules, including grammar rules, format specifications, and stylistic guidelines.

[0009] The text analysis module receives the input text from the user interface module and calls the contents of the terminology set management module and the style rule management module to perform real-time analysis on the input text in order to identify non-standard terminology usage and writing problems that do not conform to the style rules in the text.

[0010] The suggestion generation module is connected to the text analysis module and is used to receive the analysis results output by the text analysis module and generate targeted modification suggestions based on the analysis results. The modification suggestions include terms recommended from the standardized terminology database and text adjustment schemes proposed to conform to the style rules.

[0011] The user interface module integrates a text editing unit and a suggestion display panel, which is used to receive user input text, display modification suggestions provided by the suggestion generation module in real time, and allow the user to adopt the suggestions to complete the interactive revision of the text.

[0012] Furthermore, the terminology set management module includes a standardized terminology database and a terminology update interface;

[0013] The standardized terminology database stores multiple term entries, each term entry including term name, definition, usage examples and applicable context. The standardized terminology database ensures security through data encryption.

[0014] The terminology update interface allows administrators to add, modify, and delete terminology entries over the network, and supports import and export functions to maintain the timeliness and integrity of the terminology set.

[0015] Furthermore, the style rule management module includes a rule database and a rule definition interface;

[0016] The rule database stores multiple style rules, each of which includes a rule identifier, rule type, rule condition, and rule action. The rule type includes syntax rules, format rules, and semantic rules.

[0017] The rule definition interface provides a graphical interface that allows administrators to define and modify style rules, and supports rule testing and verification to ensure the effectiveness of the rules.

[0018] Furthermore, the text analysis module includes a word segmentation unit, a syntax analysis unit, and a semantic analysis unit;

[0019] The word segmentation unit is used to segment the text input by the user into a sequence of words and to identify proper nouns and terms;

[0020] The syntax analysis unit is used to parse the grammatical structure of the text and detect sentence components and grammatical errors;

[0021] The semantic analysis unit is used to understand the semantic content of the text and identify contextual relationships and logical consistency.

[0022] Furthermore, the suggestion generation module includes a rule matching unit and a suggestion synthesis unit;

[0023] The rule matching unit is used to match the output of the text analysis module with the rules in the style rule management module, identify the text parts that violate the rules, and generate matching results.

[0024] Based on the matching results, the suggestion synthesis unit retrieves alternative terms from the terminology set management module and generates specific writing suggestions, including revision suggestions, explanations, and recommended terms. The suggestion synthesis unit preferentially applies a first style rule set and a second style rule set, wherein the first style rule set is used for grammatical correction and the second style rule set is used for style consistency.

[0025] Furthermore, the user interface module includes a text editing unit and a suggestion display panel;

[0026] The text editing unit is used to receive user input text and provides real-time editing and automatic saving functions;

[0027] The suggestion display panel is used to display writing suggestions and highlight the location of the suggestions so that users can adopt the suggestions to complete interactive revisions of the text.

[0028] Furthermore, the specific steps by which the rule matching unit applies the first style rule set and the second style rule set include:

[0029] Receive structured analysis results from the text analysis module, including word segmentation sequences, syntax trees, and semantic role annotations;

[0030] The analysis results are matched with the grammatical rules in the first style rule set to identify and locate grammatical errors and generate a first-class violation list.

[0031] The analysis results are matched with the stylistic rules in the second style rule set to identify and locate style inconsistency issues, and a second list of violations is generated.

[0032] The first and second violation lists are prioritized and conflict detected, with basic grammatical errors given higher priority than stylistic suggestions.

[0033] The sorted and detected violation list and context information are sent to the suggestion synthesis unit so that the suggestion synthesis unit can generate targeted modification suggestions.

[0034] On the other hand, a digital enterprise writing assistance method integrating terminology sets and style rules, the specific steps of which are as follows:

[0035] S100: The user input initial text is received through the text editing unit of the user interface module, triggering the text analysis module to parse the initial text and generate analysis results;

[0036] S200: The terminology set management module compares the analysis results with the standardized terminology database and identifies non-standard terminology identification results.

[0037] S300, the style rule management module provides a first style rule set and a second style rule set, and the rule matching unit in the suggestion generation module generates a categorized and sorted list of violations;

[0038] S400, the suggestion synthesis unit in the suggestion generation module, based on the non-standard terminology identification results and the violation list, retrieves standardized terms from the standardized terminology database and generates writing suggestions;

[0039] S500: The writing suggestions are highlighted and displayed in the corresponding position in the text editing unit through the suggestion display panel of the user interface module, the user's feedback on the writing suggestions is received, and the text content is updated according to the feedback.

[0040] Furthermore, in S100, the parsing process includes: word segmentation, syntactic analysis, and semantic analysis, specifically:

[0041] The text is segmented into word sequences using word segmentation units;

[0042] A syntax tree is constructed using parsing units to identify grammatical structures;

[0043] Understanding semantic relationships and context between words through semantic analysis units.

[0044] Compared with existing technologies, this digital enterprise writing assistance system and method that integrates terminology sets and style rules has the following beneficial effects:

[0045] I. This invention ensures a high degree of consistency and professionalism in the use of terminology and style expression in enterprise content through deep integration of terminology sets and style rules and real-time text analysis. Its terminology set management module establishes a standardized terminology database, while the style rule management module defines refined writing specifications. When users input text in the user interface module, the text analysis module performs real-time deconstruction of the text at the word segmentation, grammatical, and semantic levels. This process can accurately identify non-standard terms and fragments that violate specific style rules. The suggestion generation module integrates the analysis results to generate unified and context-related modification suggestions. This deep integration working principle opens up the data flow between enterprise terminology management and style rule management, realizing deep integration and real-time linkage between the two.

[0046] Second, this invention uses a hierarchical suggestion generation mechanism based on a first style rule set and a second style rule set to simulate the review logic of human editors, significantly improving the accuracy of auxiliary suggestions and the quality of the final text. The system divides style rules into a first style rule set and a second style rule set. When the rule matching unit of the suggestion generation module is working, the first rule set is applied to solve the correctness problem of the text, and the second rule set is applied to handle the quality problem. This makes every modification suggestion presented to the user clear in purpose and logical in logic, greatly improving the accuracy and authority of the suggestions.

[0047] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0049] Figure 1 A flowchart illustrating the operation of a digital enterprise writing support system that integrates terminology sets and style rules;

[0050] Figure 2 A modular framework diagram for a digital enterprise writing support system that integrates terminology sets and style rules;

[0051] Figure 3 A flowchart outlining the steps for a digital enterprise writing support method that integrates terminology sets and style rules. Detailed Implementation

[0052] To better understand the above technical solutions, a detailed description of the solutions will be provided below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0053] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “digital enterprise writing assistance system integrating terminology sets and style rules,” “the,” and “the” used in the embodiments of this invention and the appended claims are also intended to include the plurality forms, and “plural” generally includes at least two unless the context clearly indicates otherwise.

[0054] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0055] First, this invention describes the enterprise writing scenarios it addresses. It is primarily applied to enterprise environments with high standards for the professionalism and consistency of document content, such as technical white papers and project reports for technology companies, compliance documents and market analyses for financial institutions, and industry research reports for consulting firms. In these scenarios, issues like inconsistent terminology, varying writing styles, and formatting errors can severely damage document quality and the company's professional image. Traditional solutions rely on manual memorization of style guides and post-review, which are inefficient and prone to errors. This invention aims to achieve intelligent, standardized, and efficient enterprise writing processes by constructing a digital platform integrating terminology management, style rule verification, real-time analysis, and intelligent suggestion generation.

[0056] The digital enterprise writing assistance system provided by this invention integrates terminology sets and style rules. It establishes a standard vocabulary for enterprise writing through a terminology set management module, defines a normative code for writing through a style rule management module, analyzes the text input by the user in real time through a text analysis module, generates precise modification suggestions by integrating information from previous modules, and finally provides users with a seamless writing assistance experience through a user interface module.

[0057] Specifically, such as Figure 2 As shown, this is a digital enterprise writing assistance system that integrates terminology sets and style rules. The system includes: a terminology set management module, a style rule management module, a text analysis module, a suggestion generation module, and a user interface module.

[0058] The terminology set management module is used to build, store, and manage the enterprise's standardized terminology database. Each term entry in the standardized terminology database is associated with a definition, applicable context, and synonym information.

[0059] The style rule management module is used to store and configure a set of customizable enterprise writing style rules, including grammar rules, format specifications, and stylistic guidelines.

[0060] The text analysis module receives the input text from the user interface module and calls the contents of the terminology set management module and the style rule management module to perform real-time analysis on the input text in order to identify non-standard terminology usage and writing problems that do not conform to the style rules in the text.

[0061] The suggestion generation module is connected to the text analysis module and is used to receive the analysis results output by the text analysis module and generate targeted modification suggestions based on the analysis results. The modification suggestions include terms recommended from the standardized terminology database and text adjustment schemes proposed to conform to the style rules.

[0062] The user interface module integrates a text editing unit and a suggestion display panel, which is used to receive user input text, display modification suggestions provided by the suggestion generation module in real time, and allow the user to adopt the suggestions to complete the interactive revision of the text.

[0063] Specifically, during implementation, the terminology management module is the cornerstone of enterprise writing standardization, used to maintain a unified and dynamically updated terminology knowledge base. This module includes a standardized terminology database and a terminology update interface. The standardized terminology database is not a simple list of entries, but a structured data collection. Each term entry contains fields: term name, definition, applicable context, and synonym information. The database is stored using a relational database and encrypted using the AES-256 encryption algorithm to ensure the security of the enterprise's core knowledge assets. During system operation, when the text analysis module initiates a terminology query, the database can respond in milliseconds through an efficient indexing mechanism.

[0064] The terminology update interface is a web-based management backend that allows users with administrator privileges to operate remotely via a web browser. Administrators can use this interface to perform operations such as adding new terms, modifying existing term definitions, or marking terms as obsolete. The interface supports batch import and export functions. For example, an administrator can import an Excel spreadsheet containing new terms into the system, which greatly improves the efficiency and timeliness of terminology database maintenance.

[0065] The style rule management module serves as the basis for implementing corporate writing standards, transforming rigid textual guidelines into machine-readable and executable intelligent rules. This module includes a rule database and a rule definition interface, wherein:

[0066] The aforementioned rule database stores various rules that constitute a company's writing style. Each rule is a structured object containing:

[0067] Rule identifier: Unique ID;

[0068] Rule types: divided into syntax rules, format rules, and semantic rules.

[0069] Rule conditions: Define the pattern that triggers the rule, such as a format rule that prohibits the use of colloquial words;

[0070] Rule action: Defines the action that should be taken when a rule is triggered.

[0071] The rule definition interface provides a graphical user interface that allows administrators to define and modify style rules. The interface also provides a rule testing function, allowing administrators to input sample text to instantly verify the validity and accuracy of the rules, ensuring that the rules do not generate false alarms or omissions.

[0072] The text analysis module is responsible for deeply understanding the text content input by the user. This module includes a word segmentation unit, a syntax analysis unit, and a semantic analysis unit. Its operation relies on natural language processing technology. During operation, when the user inputs text in the text editing unit of the user interface module, the text is immediately sent to the text analysis module. The word segmentation unit starts first, using a word segmentation algorithm based on dictionaries and statistical models to divide the continuous text string into independent word sequences. In particular, this unit calls the standardized term database in the terminology set management module to identify compound terms after natural language processing as complete word units, thus laying the foundation for subsequent terminology analysis. The syntax analysis unit receives the word sequence output by the word segmentation unit and constructs its grammatical structure tree. This process is used to identify components such as subject, verb, object, modifier, adverb, and complement in the sentence, and to detect basic grammatical problems such as subject-verb disagreement, verb tense errors, and improper use of prepositions. The semantic analysis unit is used to understand the semantic content of the text and identify contextual relationships and logical consistency.

[0073] The text analysis module ultimately outputs a structured analysis result, which includes word segmentation sequences, syntax trees, semantic role annotations, and preliminarily identified potential problem points. This structured analysis result serves as the raw material for the generation module to make accurate judgments.

[0074] The suggestion generation module integrates analysis results from the text analysis module, the terminology database from the terminology management module, and the rule database from the style rule management module to generate intelligent suggestions presented to the user. This module includes a rule matching unit and a suggestion synthesis unit. During operation, the rule matching unit receives the structured analysis results output by the text analysis module. First, it matches the analysis results with the first style rule set. Then, it matches the analysis results with the second style rule set (focusing on style consistency and professionalism). Simultaneously, it compares the word segmentation sequence with the terminology database to identify cases where non-standard or deprecated terms are used. The rule matching unit prioritizes and detects conflicts between the generated first-type violation list (grammatical issues) and the second-type violation list (style issues). In this embodiment, the system prioritizes basic grammatical errors over stylistic suggestions. Based on the prioritized violation list and terminology recognition results, the suggestion synthesis unit constructs specific and actionable writing suggestions.

[0075] The user interface module integrates a text editing unit and a suggestion display panel. The text editing unit is an online editor that supports common text editing functions and real-time automatic saving. By listening to the user's keyboard input events, it asynchronously sends the text content to the backend text analysis module while the user is typing or during brief pauses, thus enabling real-time analysis. The suggestion display panel works closely with the text editing unit. When it receives writing suggestions from the suggestion generation module, the suggestion display panel highlights the issues. When the user clicks on the highlighted area, the suggestion content pops up. If the user adopts the suggestion, the system automatically replaces non-standard terminology with standard terminology or modifies the text according to the suggestion. If the user ignores the suggestion, the system records the operation and does not prompt the issue again in the current editing session. This design achieves true interactive revision, seamlessly embedding writing assistance into the author's creative process, rather than requiring post-editing checks, greatly improving writing efficiency.

[0076] In specific implementations, such as Figure 1 The flowchart shown illustrates the workflow of a digital enterprise writing assistance system that integrates terminology sets and style rules, detailing the specific steps involved in providing writing assistance:

[0077] The system starts up, and after logging in, the user enters the text editing unit of the user interface module.

[0078] The text editing unit automatically loads the last saved document or a newly created blank document.

[0079] As the user begins typing or pasting initial text, the system listens to the input in real time as a character stream.

[0080] Each time a character is entered, the text analysis module is triggered.

[0081] The text analysis module calls the word segmentation unit to divide the current text into word sequences.

[0082] The word segmentation unit marks the identified proper nouns and terms as candidate terms and sends them to the term set management module.

[0083] The terminology set management module compares candidate terms one by one with the standardized terminology database to generate non-standard terminology identification results.

[0084] Meanwhile, the syntax analysis unit constructs a syntax tree for the current text and detects sentence components and grammatical errors.

[0085] The semantic analysis unit combines the context to generate semantic role labels, providing context for subsequent rule matching.

[0086] The rule matching unit receives the above structured results: word segmentation sequence, syntax tree, and semantic role labeling.

[0087] The rule matching unit first scans with the first style rule set to generate a first-class violation list.

[0088] The rule matching unit then scans with the second style rule set to generate a second type of violation list.

[0089] The system prioritizes and detects conflicts between the two types of violation lists.

[0090] It is recommended that the synthesis unit retrieve replacement terms from the standardized terminology database based on the sorted list of violations.

[0091] It is recommended that the synthesis unit combine terminology substitution and style adjustment into a single context-related writing suggestion.

[0092] The suggestion display panel of the user interface module marks the suggested locations in the text with highlights / underlines.

[0093] When a user clicks on the highlighted area, a card-style suggestion pops up, which can be adopted, modified, or ignored with one click.

[0094] User actions are recorded, and the terminology set management module and style rule management module update the statistical weights accordingly for the next iteration.

[0095] On the other hand, such as Figure 3 As shown, the digital enterprise writing assistance method integrating terminology sets and style rules is applicable to the aforementioned digital enterprise writing assistance system integrating terminology sets and style rules. The specific steps of this method are as follows:

[0096] S100: The user input initial text is received through the text editing unit of the user interface module, triggering the text analysis module to parse the initial text and generate analysis results;

[0097] S200: The terminology set management module compares the analysis results with the standardized terminology database and identifies non-standard terminology identification results.

[0098] S300, the style rule management module provides a first style rule set and a second style rule set, and the rule matching unit in the suggestion generation module generates a categorized and sorted list of violations;

[0099] S400, the suggestion synthesis unit in the suggestion generation module, based on the non-standard terminology identification results and the violation list, retrieves standardized terms from the standardized terminology database and generates writing suggestions;

[0100] S500: The writing suggestions are highlighted and displayed in the corresponding position in the text editing unit through the suggestion display panel of the user interface module, the user's feedback on the writing suggestions is received, and the text content is updated according to the feedback.

[0101] In summary, this invention constructs a complete enterprise writing assistance system that integrates knowledge base building, real-time text perception, intelligent diagnosis, and seamless interaction. The modules are closely connected through clear data and control flows, deeply integrating the previously scattered terminology management, standard review, and writing process. Ultimately, it outputs high-quality, compliant enterprise documents, providing solid technical support for improving both the efficiency and quality of enterprise knowledge management.

[0102] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0103] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A digital enterprise writing assistance system integrating terminology sets and style rules, characterized in that: The system consists of: a terminology set management module, a style rule management module, a text analysis module, a suggestion generation module, and a user interface module; The terminology set management module is used to build, store, and manage the enterprise's standardized terminology database. Each term entry in the standardized terminology database is associated with a definition, applicable context, and synonym information. The style rule management module is used to store and configure a set of customizable enterprise writing style rules, including grammar rules, format specifications, and stylistic guidelines. The text analysis module receives the input text from the user interface module and calls the contents of the terminology set management module and the style rule management module to perform real-time analysis on the input text in order to identify non-standard terminology usage and writing problems that do not conform to the style rules in the text. The suggestion generation module is connected to the text analysis module and is used to receive the analysis results output by the text analysis module and generate targeted modification suggestions based on the analysis results. The modification suggestions include terms recommended from the standardized terminology database and text adjustment schemes proposed to conform to the style rules. The user interface module integrates a text editing unit and a suggestion display panel, which is used to receive user input text, display modification suggestions provided by the suggestion generation module in real time, and allow the user to adopt the suggestions to complete the interactive revision of the text.

2. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 1, characterized in that, The terminology management module includes a standardized terminology database and a terminology update interface; The standardized terminology database stores multiple term entries, each term entry including term name, definition, usage examples and applicable context; The terminology update interface allows administrators to add, modify, and delete terminology entries over the network, and supports import and export functions.

3. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 1, characterized in that, The style rule management module includes a rule database and a rule definition interface; The rule database stores multiple style rules, each of which includes a rule identifier, rule type, rule condition, and rule action. The rule type includes syntax rules, format rules, and semantic rules. The rule definition interface provides a graphical interface that allows administrators to define and modify style rules, and supports rule testing and verification.

4. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 1, characterized in that, The text analysis module includes a word segmentation unit, a syntax analysis unit, and a semantic analysis unit; The word segmentation unit is used to segment the text input by the user into a sequence of words and to identify proper nouns and terms; The syntax analysis unit is used to parse the grammatical structure of the text and detect sentence components and grammatical errors; The semantic analysis unit is used to understand the semantic content of the text and identify contextual relationships and logical consistency.

5. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 1, characterized in that, The suggestion generation module includes a rule matching unit and a suggestion synthesis unit; The rule matching unit is used to match the output of the text analysis module with the rules in the style rule management module, identify the text parts that violate the rules, and generate matching results. Based on the matching results, the suggestion synthesis unit retrieves alternative terms from the terminology set management module and generates specific writing suggestions, including revision suggestions, explanations, and recommended terms. The suggestion synthesis unit preferentially applies the first style rule set and the second style rule set.

6. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 1, characterized in that, The user interface module includes a text editing unit and a suggestion display panel; The text editing unit is used to receive user input text and provides real-time editing and automatic saving functions; The suggestion display panel is used to display writing suggestions and highlight the location of the suggestions so that users can adopt the suggestions to complete interactive revisions of the text.

7. The digital enterprise writing assistance system integrating terminology sets and style rules according to claim 5, characterized in that, The specific steps by which the rule matching unit applies the first style rule set and the second style rule set include: Receive structured analysis results from the text analysis module, including word segmentation sequences, syntax trees, and semantic role annotations; The analysis results are matched with the grammatical rules in the first style rule set to identify and locate grammatical errors and generate a first-class violation list. The analysis results are matched with the stylistic rules in the second style rule set to identify and locate style inconsistency issues, and a second list of violations is generated. Prioritize and detect conflicts between the first and second violation lists; The sorted and detected violation list and context information are sent to the suggestion synthesis unit so that the suggestion synthesis unit can generate targeted modification suggestions.

8. A digital enterprise writing assistance method integrating terminology sets and style rules, applicable to the digital enterprise writing assistance system integrating terminology sets and style rules as described in any one of claims 1-7, characterized in that, The specific steps of this method are as follows: S100: The user input initial text is received through the text editing unit of the user interface module, triggering the text analysis module to parse the initial text and generate analysis results; S200: The terminology set management module compares the analysis results with the standardized terminology database and identifies non-standard terminology identification results. S300, the style rule management module provides a first style rule set and a second style rule set, and the rule matching unit in the suggestion generation module generates a categorized and sorted list of violations; S400, the suggestion synthesis unit in the suggestion generation module, based on the non-standard terminology identification results and the violation list, retrieves standardized terms from the standardized terminology database and generates writing suggestions; S500: The writing suggestions are highlighted and displayed in the corresponding position in the text editing unit through the suggestion display panel of the user interface module, the user's feedback on the writing suggestions is received, and the text content is updated according to the feedback.

9. The digital enterprise writing assistance method integrating terminology sets and style rules according to claim 8, characterized in that, In step S100, the parsing process includes word segmentation, syntactic analysis, and semantic analysis, specifically: The text is segmented into word sequences using word segmentation units; A syntax tree is constructed using parsing units to identify grammatical structures; Understanding semantic relationships and context between words through semantic analysis units.

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