A method and system for transcribing and correcting complex information formats based on a large language model

Abstract

A method and system for transcribing and correcting complex information based on a large language model. The method includes: identifying and parsing complex information; transcribing the complex information into a selected format based on a large language model; detecting and correcting errors in the transcribed complex information to complete the correction; collecting various data required by the transcribing and correction system; analyzing and processing the collected data to obtain an accuracy index and generate a report; displaying and storing the report; and issuing warnings when the report reaches a pre-set threshold to prompt further processing. This invention reduces errors in the transcribed information and further improves its readability.

Description

Technical Field

[0001] This invention belongs to the field of information processing technology, and specifically relates to a method and system for transcribing and correcting composite information formats based on a large language model. Background Technology

[0002] Complex information formats typically have complex structures, capable of accommodating multiple data types such as text, numbers, dates, and times. This data may be organized according to specific rules, such as hierarchical or sequential structures. Common complex information formats include XML, JSON, and CSV, which are widely used in data exchange, data storage, and network communication. Complex information format transcoding is a process involving data processing and information conversion, primarily referring to converting one complex information format (which may contain multiple data types organized in a specific way) into another format to facilitate data storage, transmission, processing, or display. This process requires understanding the structure, data types, and relationships between the original complex information format, and then converting it according to the requirements of the target format. However, existing complex information transcoding methods only address the format of the complex information, lacking monitoring and analysis of the transcoding process and failing to promptly detect problems that arise during transcoding. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method and system for correcting the format of composite information based on a large language model. This addresses the technical problem that composite information transcription methods only perform format correction on composite information, lack monitoring and analysis of the transcription process, and cannot promptly detect issues that arise during transcription.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following technical solution.

[0005] This invention first discloses a composite information format transcription and correction system based on a large language model, including a format processing unit, a data acquisition unit, a transmission and delivery unit, an information correction unit, a core processing unit, a monitoring and reminder unit, and a report management unit;

[0006] The format processing unit is used to identify and parse the composite information that needs to be formatted and to perform formatting of the composite information based on a large language model.

[0007] The data acquisition unit is used to collect various data required by the format transcribing and correction system;

[0008] The transmission and delivery unit is used to transmit composite information in a selected format to the information correction unit, transmit various data collected by the data acquisition unit to the core processing unit, transmit the format transcription and correction system report generated by the core processing unit to the monitoring and reminder unit and the report management unit, and transmit the format transcription and correction system report stored in the report management unit to the monitoring and reminder unit.

[0009] The information correction unit is used to detect and correct errors in the composite information after format transcoding, thereby completing the composite information correction.

[0010] The core processing unit is used to analyze and process the collected data on the format transcribing and correction system, obtain the accuracy index of the format transcribing and correction system, and generate a format transcribing and correction system report.

[0011] The monitoring and alerting unit is used to acquire the format transcription and correction system reports transmitted by the core processing unit and the report management unit, and to set relevant alert thresholds. When the report results reach the preset thresholds, an alert is issued to process the format transcription and correction system. At the same time, if the original data in the report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, the analysis and processing results of the parts of the original data in the two reports are compared. If the results are abnormal, an alert is issued to process the format transcription and correction system.

[0012] The present invention further includes the following preferred embodiments:

[0013] The format processing unit includes a format recognition module, a format selection module, a data parsing module, and a format transcribing module. The format recognition module is used to identify the format of the composite information that needs to be transcribed. The format selection module is used to select the format to be transcribed for the composite information. The data parsing module is used to parse the composite information that needs to be transcribed to extract specific data items. The format transcribing module is used to transcribe the composite information that needs to be transcribed into the selected format based on a large language model.

[0014] The data acquisition unit includes a text quantity acquisition module, a punctuation mark quantity acquisition module, and a sentence quantity acquisition module. The text quantity acquisition module is used to acquire various data related to the text quantity required by the format transcribing and correction system. The punctuation mark quantity acquisition module is used to acquire various data related to the punctuation mark quantity required by the format transcribing and correction system. The sentence quantity acquisition module is used to acquire various data related to the sentence quantity required by the format transcribing and correction system.

[0015] The information correction unit includes an information receiving module, an error detection module, and an error correction module; the information receiving module is used to receive composite information after format transcribing transmitted by the format processing unit; the error detection module is used to detect errors in the composite information after format transcribing received by the information receiving module; and the error correction module is used to correct errors in the composite information after format transcribing detected by the error detection module.

[0016] The core processing unit includes a data receiving module, a data analysis module, and a report generation module. The data receiving module receives various data related to the format transcribing and correction system transmitted by the data acquisition unit. The data analysis module analyzes and processes the various data related to the format transcribing and correction system received by the data receiving module. The report generation module generates various reports related to the format transcribing and correction system based on the analysis and processing results of the data analysis module.

[0017] The monitoring and alerting unit includes a report acquisition module, a real-time display module, a threshold setting module, a report comparison module, and an alert module. The report acquisition module acquires the format transcription and correction system report transmitted by the core processing unit, and retrieves the report from the report management unit when any one of the total word count, total punctuation mark count, or total sentence count is the same as a report stored in the report management unit. The real-time display module displays the format transcription and correction system report transmitted by the core processing unit, acquired by the report acquisition module. The threshold setting module sets the alert threshold for the format transcription and correction system report. The report comparison module compares the analysis results of the parts where the format transcription and correction system report transmitted by the core processing unit and the reports stored in the report management unit have the same total word count, total punctuation mark count, or total sentence count when any one of these values ​​is the same. If the comparison result is abnormal, the alert module issues an alert to prompt action on the format transcription and correction system.

[0018] The report management unit includes a report receiving module, a report storage module, a report viewing module, and a report deletion module. The report receiving module is used to receive format transcription and correction system reports transmitted by the core processing unit; the report storage module is used to store the format transcription and correction system reports received by the report receiving module; the report viewing module is used to view the format transcription and correction system reports stored in the report storage module; and the report deletion module is used to delete the format transcription and correction system reports stored in the report storage module.

[0019] This invention also discloses a method for transcribing and correcting composite information formats based on a large language model, utilizing the aforementioned composite information format transcribing and correction system based on a large language model, comprising:

[0020] Step 1: Identify and parse the complex information that needs to be transcribed, and transcribe the complex information into the selected format based on the large language model;

[0021] Step 2: Perform error detection and correction on the composite information after format transcribing to complete the composite information correction;

[0022] Step 3: Collect the various data required by the format transcribing and correction system, including data on the number of characters, the number of punctuation marks, and the number of sentences;

[0023] Step 4: Analyze and process the collected data on the format transcribing correction system to obtain the accuracy index of the format transcribing correction system and generate a format transcribing correction system report.

[0024] Step 5: Display and store the format transcribing and correction system report. When the format transcribing and correction system report reaches a preset threshold, issue a warning to prompt the format transcribing and correction system to process the error.

[0025] Accordingly, this application also discloses a terminal, including a processor and a storage medium;

[0026] The storage medium is used to store instructions;

[0027] The processor is configured to operate according to the instructions to perform the steps of the aforementioned method for transcribing and correcting composite information formats based on a large language model.

[0028] Accordingly, this application also discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned composite information format transcribing and correction method based on a large language model.

[0029] The beneficial effects of this invention are that, compared with the prior art, it provides a method and system for format transcribing and correcting complex information based on a large language model. After transcribing complex information, it corrects the errors in the transcribed information, thereby reducing errors and further improving readability. Simultaneously, by acquiring the total number of words, the number of inserted words, the number of deleted words, the number of replaced words, the total number of punctuation marks, the number of inserted punctuation marks, the number of deleted punctuation marks, the number of replaced punctuation marks, the total number of sentences, and the number of erroneous sentences, and comprehensively analyzing and processing the above data, it obtains an accuracy index for the format transcribing and correction system. This index determines the accuracy of the format transcribing and correction system in transcribing complex information. Furthermore, when the generated report shows anomalies, it provides warnings and reminders to further improve the processing performance of the format transcribing and correction system. Attached Figure Description

[0030] Figure 1 This is a schematic diagram illustrating the principle of the composite information format transcription and correction system based on a large language model in this invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0032] The embodiments described in this application are merely some, not all, embodiments of the present invention. Based on the spirit of the present invention, other embodiments obtained by those skilled in the art without inventive effort are all within the protection scope of the present invention.

[0033] To address the shortcomings of existing technologies, this invention proposes a method and system for format transcribing and correcting composite information based on a large language model. The method transcribs various media formats, including text, data, images, audio, and video, as well as composite information from different channels or data sources. It then corrects the format-transcribed composite information, collects the necessary data for the system, analyzes and processes the collected data, generates a report, and displays and stores the report.

[0034] See Figure 1 As shown, the present invention first discloses a composite information format transcription and correction system based on a large language model, including: a format processing unit, a data acquisition unit, a transmission and delivery unit, an information correction unit, a core processing unit, a monitoring and reminder unit, and a report management unit.

[0035] The format processing unit is used to identify and parse the composite information that needs to be formatted and to perform formatting of the composite information based on a large language model.

[0036] Furthermore, the format processing unit includes: a format recognition module, a format selection module, a data parsing module, and a format transcribing module. The format recognition module is used to identify the format of the composite information requiring format transcribing; the format selection module is used to select the required format for transcribing the composite information; the data parsing module is used to parse the composite information requiring format transcribing to extract specific data items; and the format transcribing module is used to transcrib the composite information requiring format transcribing into the selected format based on a large language model.

[0037] The data acquisition unit is used to collect various data required by the format transcribing and correction system.

[0038] Furthermore, the data acquisition unit includes: a text quantity acquisition module, a punctuation mark quantity acquisition module, and a sentence quantity acquisition module. The text quantity acquisition module is used to acquire various data related to the text quantity required by the format transcribing and correction system. The punctuation mark quantity acquisition module is used to acquire various data related to the punctuation mark quantity required by the format transcribing and correction system. The sentence quantity acquisition module is used to acquire various data related to the sentence quantity required by the format transcribing and correction system.

[0039] The transmission unit is used to transmit composite information in a selected format to the information correction unit, transmit various data collected by the data acquisition unit to the core processing unit, transmit the format transcription and correction system report generated by the core processing unit to the monitoring and reminder unit and the report management unit, and transmit the format transcription and correction system report stored in the report management unit to the monitoring and reminder unit.

[0040] The information correction unit is used to detect and correct errors in the composite information after format transcribing, thereby completing the composite information correction.

[0041] Furthermore, the information correction unit includes: an information receiving module, an error detection module, and an error correction module. The information receiving module is used to receive the format-transferred composite information transmitted by the format processing unit; the error detection module is used to detect errors in the format-transferred composite information received by the information receiving module; and the error correction module is used to correct the errors detected by the error detection module in the format-transferred composite information.

[0042] The core processing unit is used to analyze and process the collected data on the format transcribing and correction system, obtain the accuracy index of the format transcribing and correction system, and generate a format transcribing and correction system report.

[0043] Furthermore, the core processing unit includes: a data receiving module, a data analysis module, and a report generation module. The data receiving module receives various data related to the format transcribing and correction system transmitted by the data acquisition unit. The data analysis module analyzes and processes the various data related to the format transcribing and correction system received by the data receiving module. The report generation module generates various reports related to the format transcribing and correction system based on the analysis results from the data analysis module.

[0044] In a further preferred embodiment, the data analysis module, when performing data analysis, can obtain the total number of words, the number of inserted words, the number of deleted words, the number of replaced words, the total number of punctuation marks, the number of inserted punctuation marks, the number of deleted punctuation marks, the number of replaced punctuation marks, the total number of sentences, and the number of erroneous sentences, and comprehensively analyze and process the above data to obtain the accuracy index (CI) of the format transcribing and correction system.

[0045]

[0046] The accuracy index is used to determine the accuracy of the format transcribing and correction system in transcribing complex information. A higher accuracy index indicates greater accuracy, and vice versa. The index represents the total number of TW words, IW words inserted, DW words deleted, SW words replaced, TP total punctuation marks, IP inserted punctuation marks, DP deleted punctuation marks, SP replaced punctuation marks, TS total sentences, RS erroneous sentences, and GS... i The number of sentences between each erroneous sentence and the first erroneous sentence.

[0047] The monitoring and alerting unit is used to acquire the format transcribing and correction system reports transmitted by the core processing unit and the report management unit, and to set relevant alert thresholds. When the report results reach the preset thresholds, an alert is issued to process the format transcribing and correction system and improve its processing performance. At the same time, if the original data in the report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, the analysis and processing results of the parts of the original data in the two reports are compared. If the results are abnormal, an alert is issued to process the format transcribing and correction system and improve its processing performance.

[0048] Furthermore, the monitoring and alerting unit includes: a report acquisition module, a real-time display module, a threshold setting module, a report comparison module, and an alert module. The report acquisition module is used to acquire the format transcription and correction system report transmitted by the core processing unit, and to acquire the report from the report management unit when any one of the total word count, total punctuation count, or total sentence count in the format transcription and correction system report transmitted by the core processing unit is the same as that in the report stored in the report management unit. The real-time display module is used to display the format transcription and correction system report transmitted by the core processing unit acquired by the report acquisition module. The threshold setting module is used to set the alert threshold for the format transcription and correction system report. Report Comparison Module: When the format transcribing and correction system report transmitted by the core processing unit has the same total word count, total punctuation count, or total sentence count as other reports stored in the report management unit, the module compares the analysis and processing results of the parts of the format transcribing and correction system report transmitted by the core processing unit and the reports stored in the report management unit that have the same total word count, total punctuation count, or total sentence count. If the comparison result is abnormal, the module will issue an alert to process the format transcribing and correction system and improve its processing performance.

[0049] The report management unit is used to receive formatted transcription and correction system reports transmitted by the core processing unit, and to store, view, and delete the received reports.

[0050] Furthermore, the report management unit includes: a report receiving module, a report storage module, a report viewing module, and a report deletion module. The report receiving module receives format transcription and correction system reports transmitted by the core processing unit. The report storage module stores the format transcription and correction system reports received by the report receiving module. The report viewing module views the format transcription and correction system reports stored in the report storage module. The report deletion module deletes the format transcription and correction system reports stored in the report storage module.

[0051] According to another aspect of the present invention, a method for transcribing and correcting complex information formats based on a large language model is provided. This method is implemented based on the aforementioned system for transcribing and correcting complex information formats based on a large language model, and specifically includes the following steps:

[0052] Step 1: Identify and parse the complex information that needs to be transposed, and transpose the complex information in the selected format based on the large language model.

[0053] Specifically, the format recognition module of the format processing unit identifies the format of the composite information that needs to be format-transferred, the format selection module selects the format to be converted for the composite information that needs to be format-transferred, the data parsing module parses the composite information that needs to be format-transferred to extract specific data items, and finally the format conversion module converts the composite information that needs to be format-transferred into the selected format based on the large language model.

[0054] Step 2: Perform error detection and correction on the composite information after format transcribing to complete the composite information correction.

[0055] Specifically, the information receiving module of the information correction unit receives the composite information after format transcribing transmitted by the format processing unit. Then, the error detection module and the error correction module respectively perform error detection on the composite information after format transcribing received by the information receiving module and correct the errors detected by the error detection module in the composite information after format transcribing.

[0056] Step 3: Collect the various data required by the format transcribing and correction system, including data on the number of characters, the number of punctuation marks, and the number of sentences.

[0057] Specifically, the text quantity acquisition module, punctuation quantity acquisition module, and sentence quantity acquisition module of the data acquisition unit collect various data on the number of characters, punctuation marks, and sentences required by the format transcribing and correction system.

[0058] Step 4: Analyze and process the collected data on the format transcribing correction system to obtain the accuracy index of the format transcribing correction system and generate a format transcribing correction system report.

[0059] Specifically, the core processing unit receives various data about the format transcribing and correction system transmitted by the data acquisition unit through its data receiving module. The data analysis module analyzes and processes the various data about the format transcribing and correction system received by the data receiving module. By obtaining the total number of words, the number of inserted words, the number of deleted words, the number of replaced words, the total number of punctuation marks, the number of inserted punctuation marks, the number of deleted punctuation marks, the number of replaced punctuation marks, the total number of sentences, and the number of erroneous sentences, and by combining the above data analysis and processing, the accuracy index of the format transcribing and correction system is obtained.

[0060] Finally, the report generation module generates various reports on the format transcribing and correction system based on the results of the data analysis module's analysis and processing.

[0061] Step 5: Display and store the format transcribing and correction system report. When the format transcribing and correction system report reaches a preset threshold, issue a warning to prompt the format transcribing and correction system to process the error.

[0062] Specifically, the monitoring and alerting unit's report acquisition module acquires the format transcribing and correction system report transmitted by the core processing unit. When the format transcribing and correction system report transmitted by the core processing unit matches any of the total word count, total punctuation count, or total sentence count in a report stored in the report management unit, the report is retrieved from the report management unit. The real-time display module displays the format transcribing and correction system report transmitted by the core processing unit acquired by the report acquisition module. The threshold setting module sets the warning threshold for the format transcribing and correction system report. The report comparison module compares the analysis results of the parts where the format transcribing and correction system report transmitted by the core processing unit matches any of the total word count, total punctuation count, or total sentence count in other reports stored in the report management unit. If the comparison result is abnormal, the warning and alerting module issues a warning to monitor the format transcribing and correction system. The system processes data to improve processing performance. The warning and alert module compares the analysis results of identical parts in the format transcribing and correction system reports transmitted by the core processing unit and those in other reports stored in the report management unit, when the report reaches a warning threshold or when any of the total word count, total punctuation count, or total sentence count is the same in the report transmitted by the core processing unit and the report stored in the report management unit. It issues warnings when the comparison results are abnormal, thus improving the processing performance of the format transcribing and correction system. The report receiving module of the report management unit receives the format transcribing and correction system reports transmitted by the core processing unit. The report storage module stores the format transcribing and correction system reports received by the report receiving module. The report viewing module views the format transcribing and correction system reports stored in the report storage module. The report deletion module deletes the format transcribing and correction system reports stored in the report storage module.

[0063] The beneficial effects of this invention are that, compared with the prior art, it provides a method and system for format transcribing and correcting complex information based on a large language model. After transcribing complex information, it corrects the errors in the transcribed information, thereby reducing errors and further improving readability. Simultaneously, by acquiring the total number of words, the number of inserted words, the number of deleted words, the number of replaced words, the total number of punctuation marks, the number of inserted punctuation marks, the number of deleted punctuation marks, the number of replaced punctuation marks, the total number of sentences, and the number of erroneous sentences, and comprehensively analyzing and processing the above data, it obtains an accuracy index for the format transcribing and correction system. This index determines the accuracy of the format transcribing and correction system in transcribing complex information. Furthermore, when the generated report shows anomalies, it provides warnings and reminders to further improve the processing performance of the format transcribing and correction system.

[0064] Based on the spirit of this invention, those skilled in the art will readily conceive of obtaining a computer program product based on the aforementioned complex information format transcription and correction method based on a large language model. The computer program product may include a computer-readable storage medium on which computer-readable program instructions are loaded to enable a processor to implement various aspects of this disclosure. That is, this application also includes a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to perform the steps of the aforementioned complex information format transcription and correction method based on a large language model.

[0065] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example, but not limited to, electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0066] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0067] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A complex information format transcription and correction system based on a large language model, characterized in that, It includes a format processing unit, a data acquisition unit, a transmission and delivery unit, an information correction unit, a core processing unit, a monitoring and reminder unit, and a report management unit; The format processing unit is used to identify and parse the composite information that needs to be formatted and to perform formatting of the composite information based on a large language model. The data acquisition unit is used to collect various data required by the format transcribing and correction system; The transmission and delivery unit is used to transmit composite information in a selected format to the information correction unit, transmit various data collected by the data acquisition unit to the core processing unit, transmit the format transcription and correction system report generated by the core processing unit to the monitoring and reminder unit and the report management unit, and transmit the format transcription and correction system report stored in the report management unit to the monitoring and reminder unit. The information correction unit is used to detect and correct errors in the composite information after format transcoding, thereby completing the composite information correction. The core processing unit is used to analyze and process the collected data on the format transcribing and correction system, obtain the accuracy index of the format transcribing and correction system, and generate a format transcribing and correction system report. The monitoring and alerting unit is used to acquire the format transcription and correction system reports transmitted by the core processing unit and the report management unit, and to set relevant alert thresholds. When the report results reach the preset thresholds, an alert is issued to process the format transcription and correction system. At the same time, if the original data in the report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, the analysis and processing results of the parts of the original data in the two reports are compared. If the results are abnormal, an alert is issued to process the format transcription and correction system.

2. The composite information format transcription and correction system based on a large language model according to claim 1, characterized in that, The format processing unit includes a format recognition module, a format selection module, a data parsing module, and a format transcribing module; The format recognition module is used to identify the format of the composite information that needs to be format-transferred; the format selection module is used to select the format to be converted for the composite information that needs to be format-transferred; the data parsing module is used to parse the composite information that needs to be format-transferred to extract specific data items; the format conversion module is used to convert the composite information that needs to be format-transferred to the selected format based on a large language model.

3. The composite information format transcription and correction system based on a large language model according to claim 2, characterized in that, The data acquisition unit includes a text quantity acquisition module, a punctuation mark quantity acquisition module, and a sentence quantity acquisition module. The text quantity acquisition module is used to acquire various data related to the text quantity required by the format transcribing and correction system. The punctuation mark quantity acquisition module is used to acquire various data related to the punctuation mark quantity required by the format transcribing and correction system. The sentence quantity acquisition module is used to acquire various data related to the sentence quantity required by the format transcribing and correction system.

4. The composite information format transcription and correction system based on a large language model according to claim 3, characterized in that, The information correction unit includes an information receiving module, an error detection module, and an error correction module; The information receiving module is used to receive composite information after format transcoding transmitted by the format processing unit; the error detection module is used to detect errors in the composite information after format transcoding received by the information receiving module; and the error correction module is used to correct errors in the composite information after format transcoding detected by the error detection module.

5. The composite information format transcription and correction system based on a large language model according to claim 4, characterized in that, The core processing unit includes a data receiving module, a data analysis module, and a report generation module. The data receiving module receives various data related to the format transcribing and correction system transmitted by the data acquisition unit. The data analysis module analyzes and processes the various data related to the format transcribing and correction system received by the data receiving module. The report generation module generates various reports related to the format transcribing and correction system based on the analysis and processing results of the data analysis module.

6. The composite information format transcription and correction system based on a large language model according to claim 5, characterized in that, The monitoring and alerting unit includes a report acquisition module, a real-time display module, a threshold setting module, a report comparison module, and an alert module. The report acquisition module acquires the format transcription and correction system report transmitted by the core processing unit, and retrieves the report from the report management unit when any one of the total word count, total punctuation mark count, or total sentence count is the same as a report stored in the report management unit. The real-time display module displays the format transcription and correction system report transmitted by the core processing unit, acquired by the report acquisition module. The threshold setting module sets the alert threshold for the format transcription and correction system report. The report comparison module compares the analysis results of the parts where the format transcription and correction system report transmitted by the core processing unit and the reports stored in the report management unit have the same total word count, total punctuation mark count, or total sentence count when any one of these values ​​is the same. If the comparison result is abnormal, the alert module issues an alert to prompt action on the format transcription and correction system.

7. The composite information format transcription and correction system based on a large language model according to claim 6, characterized in that, The report management unit includes a report receiving module, a report storage module, a report viewing module, and a report deletion module. The report receiving module is used to receive format transcription and correction system reports transmitted by the core processing unit; the report storage module is used to store the format transcription and correction system reports received by the report receiving module; the report viewing module is used to view the format transcription and correction system reports stored in the report storage module; and the report deletion module is used to delete the format transcription and correction system reports stored in the report storage module.

8. A method for transcribing and correcting composite information formats based on a large language model, based on the composite information format transcribing and correction system based on any one of claims 1-7, characterized in that, Includes the following steps: Step 1: Identify and parse the complex information that needs to be transcribed, and transcribe the complex information into the selected format based on the large language model; Step 2: Perform error detection and correction on the composite information after format transcribing to complete the composite information correction; Step 3: Collect the various data required by the format transcribing and correction system, including data on the number of characters, the number of punctuation marks, and the number of sentences; Step 4: Analyze and process the collected data on the format transcribing correction system to obtain the accuracy index of the format transcribing correction system and generate a format transcribing correction system report. Step 5: Display and store the format transcribing and correction system report. When the format transcribing and correction system report reaches a preset threshold, issue a warning to prompt the format transcribing and correction system to process the error.

9. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the composite information format transcribing and correction method based on a large language model as described in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the composite information format transcribing and correction method based on a large language model as described in any one of claims 8.

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