Composite information format transfer rectification method and system based on large language model

Abstract

The invention discloses a composite information format transfer rectification method and system based on a large language model. The method comprises the following steps: identifying and analyzing composite information, and performing selected format transcription on the composite information based on a large language model; error detection and correction are carried out on the composite information after format transfer, and composite information correction is completed; collecting various data required by a format transfer correction system; analyzing and processing the collected data about the format transfer correction system to obtain an accuracy index of the format transfer correction system, and generating a format transfer correction system report; and displaying and storing the format transfer correction system report, and performing warning reminding when the format transfer correction system report reaches a preset threshold value so as to process the format transfer correction system. According to the scheme of the invention, the error condition of the transferred information is reduced, and the readability of the transferred information is further improved.

Description

Technical Field

[0001] The present invention belongs to the field of information processing technology, and in particular relates to a composite information format transcription and correction method and system based on a large language model. Background Art

[0002] Composite information formats usually have a complex structure and can accommodate multiple types of data, such as text, numbers, dates, times, etc., and these data may be organized according to specific rules, such as hierarchical structures, sequence structures, etc. Common composite information formats include XML, JSON, CSV, etc., which are widely used in data exchange, data storage, network communication and other fields. Composite information format transcription is a process involving data processing and information conversion, which mainly refers to converting a composite information format (this format may contain multiple types of data, and the data is organized in a specific way) into another format to facilitate data storage, transmission, processing or display. In this process, it is necessary to understand the structure, data type and the relationship between the original composite information format, and then convert it according to the requirements of the target format. However, the existing composite information transcription method only performs the format of the composite information, lacks monitoring and analysis of the transcription process, and cannot timely discover the situation in the transcription process. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a composite information format transcription and correction method and system based on a large language model, so as to solve the technical problem that the composite information transcription method only performs the format of the composite information, lacks monitoring and analysis of the transcription process, and cannot timely discover the situations occurring in the transcription process.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions.

[0005] The present invention firstly discloses a compound information format transcription and correction system based on a large language model, comprising a format processing unit, a data acquisition unit, a transmission 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 format transcribed, and transcribe the composite information into a selected format based on the large language model;

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

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

[0009] The information correction unit is used to perform error detection and correction on the composite information after format transcription, thereby completing composite information correction;

[0010] The core processing unit is used to analyze and process various data collected about the format transcription and correction system, obtain the accuracy index of the format transcription and correction system, and generate a format transcription and correction system report;

[0011] The monitoring reminder unit is used to obtain the format transcription and correction system report transmitted by the core processing unit and the report management unit, and set relevant reminder thresholds. When the report result reaches a preset threshold, a warning reminder is issued to process the format transcription and correction system. At the same time, if the report transmitted by the core processing unit has the same original data as other reports in the storage unit of the report management unit, the analysis and processing results of the parts with the same original data in the two reports are compared. If the result is abnormal, a warning reminder 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 format transcription; the format recognition module is used to recognize the format of the composite information that needs to be format transcribed; the format selection module is used to select the format of the composite information that needs to be format transcribed; the data parsing module is used to parse the composite information that needs to be format transcribed to extract specific data items; the format transcription module is used to transcribe the composite information that needs to be format transcribed into a selected format based on a large language model.

[0014] The data collection unit includes a character quantity collection module, a punctuation quantity collection module and a sentence quantity collection module. The character quantity collection module is used to collect various data on the number of characters required by the format transcription and correction system, the punctuation quantity collection module is used to collect various data on the number of punctuation required by the format transcription and correction system, and the sentence quantity collection module is used to collect various data on the number of sentences required by the format transcription 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 the composite information after format transcription transmitted by the format processing unit; the error detection module is used to detect errors in the composite information after format transcription received by the information receiving module; the error correction module is used to correct the errors in the composite information after format transcription detected by the error detection module.

[0016] The core processing unit includes a data receiving module, a data analysis module and a report generating module; the data receiving module is used to receive various data about the format transcription and correction system transmitted by the data acquisition unit; the data analysis module is used to analyze and process various data about the format transcription and correction system received by the data receiving module; the report generating module is used to generate various reports about the format transcription and correction system according to the results of the analysis and processing by the data analysis module.

[0017] The monitoring and reminder unit includes a report acquisition module, a real-time display module, a threshold setting module, a report comparison module and a warning reminder module; the report acquisition module is used to acquire the format transcription and correction system report transmitted by the core processing unit and when one of the total number of words, total number of punctuation marks and total number of sentences 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 report is acquired from 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 warning threshold of the format transcription and correction system report; the report comparison module is used to compare the analysis and processing results of the same parts of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit and the report stored in the report management unit when one of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, and to issue a warning through the warning reminder module when the comparison result is abnormal, so as to process 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 the format transcription and correction system report transmitted by the core processing unit; the report storage module is used to store the format transcription and correction system report received by the report receiving module; the report viewing module is used to view the format transcription and correction system report stored in the report storage module; and the report deletion module is used to delete the format transcription and correction system report stored in the report storage module.

[0019] The present invention also discloses a composite information format transcription and correction method based on a large language model using the composite information format transcription and correction system based on a large language model, comprising:

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

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

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

[0023] Step 4: Analyze and process the collected data about the format transcription and correction system, obtain the accuracy index of the format transcription and correction system, and generate a format transcription and correction system report;

[0024] Step 5: Display and store the format transcription and correction system report, and issue a warning when the format transcription and correction system report reaches a preset threshold value to process the format transcription and correction system.

[0025] Accordingly, the present 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 used to operate according to the instructions to execute the steps of the aforementioned compound information format transcription and correction method based on the large language model.

[0028] Correspondingly, the present application also discloses a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the aforementioned composite information format transcription and correction method based on a large language model are implemented.

[0029] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a method and system for correcting the format transcription of composite information based on a large language model, and after the composite information is format transcribed, the composite information after format transcription is corrected, thereby reducing the error of the transcribed information and further improving the readability of the transcribed information. At the same time, the accuracy index of the format transcription correction system can be obtained 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 incorrect sentences, and the above data analysis and processing are combined to obtain the accuracy index of the format transcription correction system, thereby judging the accuracy of the format transcription correction system for composite information format transcription, and when the report generated by the analysis and processing is abnormal, a warning reminder is issued to process the format transcription correction system to improve the processing performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle of the composite information format transcription and correction system based on the large language model in the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention more clear, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0032] The embodiments described in this application are only some embodiments of the present invention, not all embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0033] In view of the shortcomings of the prior art, the present invention proposes a composite information format transcription and correction method and system based on a large language model, which performs format transcription on various media forms such as text, data, images, audio, video, etc. that need to be format transcribed, as well as composite information from different channels or data sources; performs information correction on the composite information after format transcription; collects various data required by the format transcription and correction system; analyzes and processes various data about the format transcription and correction system collected by the collection unit and generates a format transcription and correction system report; and displays and stores the generated format transcription and correction system report.

[0034] See also 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 format transcribed, and transcribe the composite information into a selected format based on the large language model.

[0036] Furthermore, the format processing unit includes: a format recognition module, a format selection module, a data parsing module and format transcription. The format recognition module is used to recognize the format of the composite information that needs to be transcribed; the format selection module is used to select the format that needs to be transcribed for the composite information that needs to be transcribed; the data parsing module is used to parse the composite information that needs to be transcribed to extract specific data items; the format transcription module is used to transcribe the composite information that needs to be transcribed into the selected format based on the large language model.

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

[0038] Furthermore, the data collection unit includes: a character quantity collection module, a punctuation quantity collection module and a sentence quantity collection module. The character quantity collection module is used to collect various data on the number of characters required by the format transcription and correction system. The punctuation quantity collection module is used to collect various data on the number of punctuations required by the format transcription and correction system. The sentence quantity collection module is used to collect various data on the number of sentences required by the format transcription and correction system.

[0039] The transmission and delivery unit is used to transmit the composite information transcribed into a selected format by the format transcription unit to the information correction unit, transmit the 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 perform error detection and correction on the composite information after format transcription, thereby completing 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 composite information after formatting and transmitted by the format processing unit; the error detection module is used to detect errors in the composite information after formatting and received by the information receiving module; and the error correction module is used to correct errors in the composite information after formatting detected by the error detection module.

[0042] The core processing unit is used to analyze and process various data collected about the format transcription and correction system, obtain the accuracy index of the format transcription and correction system, and generate a format transcription 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 is used to receive various data about the format transcription and correction system transmitted by the data acquisition unit. The data analysis module is used to analyze and process various data about the format transcription and correction system received by the data receiving module. The report generation module is used to generate various reports about the format transcription and correction system according to the results of the analysis and processing by the data analysis module.

[0044] In a further preferred embodiment, the data analysis module 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 incorrect sentences when performing data analysis, and comprehensively analyze and process the above data to obtain the accuracy index CI of the format transcription correction system:

[0045]

[0046] The accuracy of the format transcription and correction system in transcribing the composite information format is obtained according to the accuracy index. The larger the accuracy index is, the higher the accuracy of the format transcription and correction system in transcribing the composite information format is. Conversely, the lower the accuracy of the format transcription and correction system in transcribing the composite information format is. Wherein TW is the total number of words, IW is the number of inserted words, DW is the number of deleted words, SW is the number of replaced words, TP is the total number of punctuation marks, IP is the number of inserted punctuation marks, DP is the number of deleted punctuation marks, SP is the number of replaced punctuation marks, TS is the total number of sentences, RS is the number of incorrect sentences, GS is the total number of sentences, and i The number of sentences between each incorrect sentence and the first incorrect sentence.

[0047] The monitoring reminder unit is used to obtain the format transcription and correction system report transmitted by the core processing unit and the report management unit, and set relevant reminder thresholds. When the report result reaches a preset threshold, a warning reminder is issued to process the format transcription and correction system to improve processing performance. At the same time, if the report transmitted by the core processing unit has the same original data as other reports in the storage unit of the report management unit, the analysis and processing results of the parts with the same original data in the two reports are compared. If the result is abnormal, a warning reminder is issued to process the format transcription and correction system to improve processing performance.

[0048] Furthermore, the monitoring reminder unit includes: a report acquisition module, a real-time display module, a threshold setting module, a report comparison module and a warning reminder module. The report acquisition module is used to acquire the format transcription and correction system report transmitted by the core processing unit and when the format transcription and correction system report transmitted by the core processing unit is the same as one of the total number of words, total number of punctuation marks and total number of sentences in the report stored in the report management unit, the report is acquired from 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 warning threshold of the format transcription and correction system report. Report comparison module: When one of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system 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 same parts of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit and the reports stored in the report management unit are compared, and when the comparison result is abnormal, an alarm is issued through the alarm reminder module to process the format transcription and correction system to improve processing performance.

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

[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 is used to receive the format transcription and correction system report transmitted by the core processing unit. The report storage module is used to store the format transcription and correction system report received by the report receiving module. The report viewing module is used to view the format transcription and correction system report stored in the report storage module. The report deletion module is used to delete the format transcription and correction system report stored in the report storage module.

[0051] According to another aspect of the present invention, a composite information format transcription and correction method based on a large language model is provided. The method is implemented based on the composite information format transcription and correction system based on a large language model described above, and specifically comprises the following steps:

[0052] Step 1: Identify and parse the composite information that needs to be transcribed, and transcribe the composite information into a selected format based on a large language model.

[0053] Specifically, the format of the compound information that needs to be formatted is identified by the format identification module of the format processing unit, the format of the compound information that needs to be formatted is selected by the format selection module, and then the compound information that needs to be formatted is parsed by the data parsing module to extract specific data items, and finally the format transcription module transcribes the compound information that needs to be formatted into the selected format based on the large language model.

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

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

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

[0057] Specifically, various data on the number of characters, various data on the number of punctuation marks and various data on the number of sentences required by the format transcription and correction system are collected through the character number collection module, punctuation number collection module and sentence number collection module of the data collection unit.

[0058] Step 4: Analyze and process the collected data about the format transcription and correction system, obtain the accuracy index of the format transcription and correction system, and generate a format transcription and correction system report.

[0059] Specifically, the data receiving module of the core processing unit receives various data about the format transcription and correction system transmitted by the data acquisition unit, and the data analysis module analyzes and processes various data about the format transcription 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, the number of incorrect sentences, and comprehensively analyzing and processing the above data, to obtain the accuracy index of the format transcription and correction system.

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

[0061] Step 5: Display and store the format transcription and correction system report, and issue a warning when the format transcription and correction system report reaches a preset threshold value to process the format transcription and correction system.

[0062] Specifically, the report acquisition module of the monitoring reminder unit acquires the format transcription and correction system report transmitted by the core processing unit, and when one of the total number of words, total number of punctuation marks and total number of sentences 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 report is acquired from 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 warning threshold of the format transcription and correction system report, and the report comparison module compares the analysis and processing results of the same parts of the total number of words, total punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit with those in the report stored in the report management unit when one of the total number of words, total punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, and the warning reminder module issues a warning when the comparison result is abnormal, so as to correct the format transcription and correction system error. The system processes to improve the processing performance. When the format transcription and correction system report transmitted by the core processing unit reaches the warning threshold and when the format transcription and correction system report transmitted by the core processing unit is the same as one of the total number of words, total number of punctuation marks and total number of sentences in other reports stored in the report management unit, the warning module compares the analysis and processing results of the same parts of the total number of words, total number of punctuation marks and total number of sentences in the report stored in the report management unit, and issues a warning when the comparison result is abnormal, so as to process the format transcription and correction system to improve the processing performance. The report receiving module of the report management unit receives the format transcription and correction system report transmitted by the core processing unit, the report storage module stores the format transcription and correction system report received by the report receiving module, the report viewing module views the format transcription and correction system report stored in the report storage module, and the report deletion module is used to delete the format transcription and correction system report stored in the report storage module.

[0063] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a method and system for correcting the format transcription of composite information based on a large language model, and after the composite information is format transcribed, the composite information after format transcription is corrected, thereby reducing the error of the transcribed information and further improving the readability of the transcribed information. At the same time, the accuracy index of the format transcription correction system can be obtained 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 incorrect sentences, and the above data analysis and processing are combined to obtain the accuracy index of the format transcription correction system, thereby judging the accuracy of the format transcription correction system for composite information format transcription, and when the report generated by the analysis and processing is abnormal, a warning reminder is issued to process the format transcription correction system to improve the processing performance.

[0064] Based on the spirit of the present invention, those skilled in the art can easily think of a computer program product based on the aforementioned compound information format transcription and correction method based on a large language model. The computer program product may include a computer-readable storage medium, which carries computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure. That is, the present application also includes a terminal, including 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 execute the steps of the aforementioned compound information format transcription and correction method based on a large language model.

[0065] Computer readable storage medium can be a tangible device that can keep and store the instructions used by the instruction execution device. Computer readable storage medium can be, for example, - but not limited to - electrical storage device, magnetic storage device, optical storage device, electromagnetic storage device, semiconductor storage device or any suitable combination of the above. More specific examples (non-exhaustive list) of computer readable storage medium include: portable computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, for example, punch card or groove protrusion structure with instructions stored thereon and any suitable combination of the above. Computer readable storage medium used here is not interpreted as instantaneous signal itself, such as radio wave or other free propagating electromagnetic wave, electromagnetic wave propagated by waveguide or other transmission medium (for example, light pulse by optical fiber cable) or electrical signal transmitted by wire.

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

[0067] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state 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 "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of 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., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA) may be personalized by utilizing the state information of a computer-readable program instruction, and the electronic circuit may execute a computer-readable program instruction, thereby realizing various aspects of the present disclosure.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection 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 collection unit, a transmission 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 format transcribed, and transcribe the composite information into a selected format based on the large language model; The data acquisition unit is used to collect various data required by the format transcription and correction system; The transmission unit is used to transmit the composite information transcribed into the selected format by the format transcription unit to the information correction unit, transmit the various data collected by the data collection unit to the core processing unit, transmit the format transcription correction system report generated by the core processing unit to the monitoring reminder unit and the report management unit, and transmit the format transcription correction system report stored in the report management unit to the monitoring reminder unit; The information correction unit is used to perform error detection and correction on the composite information after format transcription, thereby completing composite information correction; The core processing unit is used to analyze and process various data collected about the format transcription and correction system, obtain the accuracy index of the format transcription and correction system, and generate a format transcription and correction system report; The monitoring reminder unit is used to obtain the format transcription and correction system report transmitted by the core processing unit and the report management unit, and set relevant reminder thresholds. When the report result reaches a preset threshold, a warning reminder is issued to process the format transcription and correction system. At the same time, if the report transmitted by the core processing unit has the same original data as other reports in the storage unit of the report management unit, the analysis and processing results of the parts with the same original data in the two reports are compared. If the result is abnormal, a warning reminder is issued to process the format transcription and correction system.

2. The compound information format transcription and correction system based on a large language model according to claim 1 is characterized in that: The format processing unit includes a format identification module, a format selection module, a data parsing module and a format transcription module; The format recognition module is used to identify the format of the composite information that needs to be formatted; the format selection module is used to select the format that needs to be transcribed for the composite information that needs to be formatted; the data parsing module is used to parse the composite information that needs to be formatted to extract specific data items; the format transcription module is used to transcribe the composite information that needs to be formatted into a selected format based on a large language model.

3. The compound information format transcription and correction system based on a large language model according to claim 2 is characterized in that: The data collection unit includes a character quantity collection module, a punctuation quantity collection module and a sentence quantity collection module. The character quantity collection module is used to collect various data on the number of characters required by the format transcription and correction system, the punctuation quantity collection module is used to collect various data on the number of punctuation required by the format transcription and correction system, and the sentence quantity collection module is used to collect various data on the number of sentences required by the format transcription and correction system.

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

5. The compound information format transcription and correction system based on a large language model according to claim 4 is characterized in that: The core processing unit includes a data receiving module, a data analysis module and a report generating module; the data receiving module is used to receive various data about the format transcription and correction system transmitted by the data acquisition unit; the data analysis module is used to analyze and process various data about the format transcription and correction system received by the data receiving module; the report generating module is used to generate various reports about the format transcription and correction system according to the results of the analysis and processing by the data analysis module.

6. The compound information format transcription and correction system based on a large language model according to claim 5 is characterized in that: The monitoring and reminder unit includes a report acquisition module, a real-time display module, a threshold setting module, a report comparison module and a warning reminder module; the report acquisition module is used to acquire the format transcription and correction system report transmitted by the core processing unit and when one of the total number of words, total number of punctuation marks and total number of sentences 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 report is acquired from 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 warning threshold of the format transcription and correction system report; the report comparison module is used to compare the analysis and processing results of the same parts of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit and the report stored in the report management unit when one of the total number of words, total number of punctuation marks and total number of sentences in the format transcription and correction system report transmitted by the core processing unit is the same as that in other reports stored in the report management unit, and to issue a warning through the warning reminder module when the comparison result is abnormal, so as to process the format transcription and correction system.

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

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

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

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the compound information format transcription and correction method based on a large language model as described in any one of claim 8 are implemented.

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