Text error correction method and device and medium

Abstract

The invention discloses a text error correction method and device and a medium, and the method comprises the following steps: carrying out error correction prompt on an error correction part during text error correction; performing correction processing on the error correction part according to feedback of the user on the error correction prompt to obtain correction content; performing multi-standard auditing on the correction content to obtain an auditing result; re-correcting the correction content according to the audit result; according to the method, the error text can be automatically identified, the error text is corrected by different strategies, the corrected text is subjected to secondary verification, and the method has relatively high error correction accuracy.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a text error correction method, device and medium. Background Art

[0002] At present, the text error correction scheme of the Internet platform is that the user inputs the content into the text publishing page, and the published text content is manually reviewed when or after the text is published. When non-compliant words are found, the published text is removed from the shelves and the publisher is notified at the same time. This manual review method cannot perform content review before the text is published. At the same time, manual review also has certain omissions and lacks accuracy, which affects the user experience. Summary of the invention

[0003] The object of the present invention is to provide a text error correction method, device and medium, thereby solving all or one of the above-mentioned problems existing in the prior art.

[0004] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In one aspect, the present invention provides a text error correction method, comprising the following steps: When correcting text errors, a correction prompt is given to the corrected part; and correction processing is performed on the corrected part according to the user's feedback on the correction prompt to obtain correction content; Conduct a multi-standard audit on the correction content to obtain an audit result; and conduct a re-correction of the correction content based on the audit result.

[0005] In one embodiment, the correction processing of the error correction part according to the user's feedback on the error correction prompt to obtain the correction content includes: In response to the user selecting custom correction according to the error correction prompt, the non-compliant part in the error correction part is updated according to the content input by the user to obtain the correction content.

[0006] In one embodiment, the correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user selecting system correction according to the error correction prompt, the non-compliant part in the error correction part is corrected to a compliant expression based on the deep learning model to obtain the corrected content.

[0007] In one embodiment, the correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user's judgment that the error correction prompt is a false alarm, the non-compliant segment in the error correction part is re-identified based on the deep learning model; and the false alarm non-compliant segment is input into the deep learning model for model updating.

[0008] In one embodiment, the multi-standard review of the correction content includes: The deep learning model is called to review the corrected content according to review specifications based on a number of non-compliant sensitive words.

[0009] In one embodiment, the multi-standard review of the correction content to obtain the review result includes: If the corrected content meets the review standards of the non-compliant sensitive words, the review result is set as approved; If the correction content does not meet the review specifications of any of the non-compliant sensitive words, the review result is set as review failure.

[0010] In one embodiment, the re-correcting the correction content according to the audit result includes: When the audit result is that the audit fails, the user is prompted to revise the correction content again.

[0011] In one embodiment, the re-correcting the correction content according to the audit result further includes: When the audit result is approved, the user is prompted that the correction is successful.

[0012] On the other hand, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the text error correction method are implemented.

[0013] On the other hand, the present invention further provides a computer device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the text error correction method by running the program stored in the memory.

[0014] The beneficial effects of the technical solution of the present invention are: 1. The text error correction method described in the present invention can realize automatic recognition of erroneous texts, perform correction processing on the erroneous texts with different strategies, and perform secondary verification on the corrected texts, thus having a high error correction accuracy.

[0015] 2. The computer-readable storage medium described in the present invention can realize the cooperation of the guidance system module, thereby realizing the text error correction method described in the present invention, and the computer-readable storage medium described in the present invention also effectively improves the operability of the text error correction method.

[0016] 3. The computer device described in the present invention can store and execute the computer-readable storage medium, thereby realizing the text error correction method described in the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 is a flowchart of the text error correction method described in Example 1 of the present invention; Figure 2 is a schematic diagram of the structure of the computer device described in Example 3 of the present invention; The symbols in the accompanying drawings are explained as follows: 1501, processor; 1502, communication interface; 1503, memory; 1504, communication bus. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0020] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.

[0021] The terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. Example 1

[0022] This embodiment provides a text error correction method, such as Figure 1 As shown, the following steps are included: S100, when correcting text errors, providing a correction prompt for the error-corrected part; and performing correction processing on the error-corrected part according to the user's feedback on the error-correction prompt to obtain correction content; S200, performing a multi-standard audit on the correction content to obtain an audit result; and re-correcting the correction content according to the audit result.

[0023] In one embodiment, the correction processing of the error correction part according to the user's feedback on the error correction prompt to obtain the correction content includes: In response to the user selecting custom correction according to the error correction prompt, the non-compliant part in the error correction part is updated according to the content input by the user to obtain the correction content.

[0024] In one embodiment, the correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user selecting system correction according to the error correction prompt, the non-compliant part in the error correction part is corrected to a compliant expression based on the deep learning model to obtain the corrected content.

[0025] In one embodiment, the correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user's judgment that the error correction prompt is a false alarm, the non-compliant segment in the error correction part is re-identified based on the deep learning model; and the false alarm non-compliant segment is input into the deep learning model for model updating.

[0026] In one embodiment, the multi-standard review of the correction content includes: The deep learning model is called to review the corrected content according to review specifications based on a number of non-compliant sensitive words.

[0027] In one embodiment, the multi-standard review of the correction content to obtain the review result includes: If the corrected content meets the review standards of the non-compliant sensitive words, the review result is set as approved; If the correction content does not meet the review specifications of any of the non-compliant sensitive words, the review result is set as review failure.

[0028] In one embodiment, the re-correcting the correction content according to the audit result includes: When the audit result is that the audit fails, the user is prompted to revise the correction content again.

[0029] In one embodiment, the re-correcting the correction content according to the audit result further includes: When the audit result is approved, the user is prompted that the correction is successful.

[0030] It should be noted that the above examples are only for explaining the present invention and cannot limit the protection scope of the present invention. Example 2

[0031] This embodiment provides a computer-readable storage medium, including: The storage medium is used to store computer software instructions used to implement the text correction method described in the above-mentioned embodiment 1, which includes instructions for executing the above-mentioned program set for the text correction method; specifically, the executable program can be built into the electronic device described in embodiment 3, so that the electronic device can implement the text correction method described in embodiment 1 by executing the built-in executable program.

[0032] In addition, the computer-readable storage medium of this embodiment may adopt any combination of one or more computer-readable storage media, wherein the computer-readable storage medium includes electrical, optical, electromagnetic, infrared or semiconductor systems, devices or components, or any combination thereof. Example 3

[0033] This embodiment provides an electronic device, such as Figure 2 As shown, the electronic device may include: a processor 1501 , a communication interface 1502 , a memory 1503 and a communication bus 1504 , wherein the processor 1501 , the communication interface 1502 , and the memory 1503 communicate with each other via the communication bus 1504 .

[0034] Memory 1503, used for storing computer programs; The processor 1501 is used to implement the steps of the text error correction method described in the above embodiment 1 when executing the computer program stored in the memory 1503.

[0035] As an embodiment of the present invention, the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0036] As an implementation mode of the present invention, the communication interface is used for communication between the above-mentioned terminal and other devices.

[0037] As an embodiment of the present invention, the memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0038] As an embodiment of the present invention, the above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0039] Different from the prior art, the text correction method, device and medium of the present application can automatically identify erroneous text, correct the erroneous text with different strategies, and perform a secondary check on the corrected text, with high error correction accuracy.

[0040] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0041] It should also be understood that in the embodiments of this article, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0042] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this article.

[0043] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0044] In the several embodiments provided herein, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other forms of connection.

[0045] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of this article.

[0046] In addition, each functional unit in each embodiment of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

[0047] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0048] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A text error correction method, characterized in that: The following steps are involved: When correcting text errors, a correction prompt is given to the corrected part; and correction processing is performed on the corrected part according to the user's feedback on the correction prompt to obtain correction content; Conduct a multi-standard audit on the correction content to obtain an audit result; and perform a re-correction on the correction content based on the audit result.

2. The text error correction method according to claim 1, characterized in that: The step of correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content includes: In response to the user selecting custom correction according to the error correction prompt, the non-compliant part in the error correction part is updated according to the content input by the user to obtain the correction content.

3. The text error correction method according to claim 1, characterized in that: The step of correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user selecting system correction according to the error correction prompt, the non-compliant part in the error correction part is corrected to a compliant expression based on the deep learning model to obtain the corrected content.

4. The text error correction method according to claim 1, characterized in that: The step of correcting the error correction part according to the user's feedback on the error correction prompt to obtain the correction content also includes: In response to the user's judgment that the error correction prompt is a false alarm, the non-compliant segment in the error correction part is re-identified based on the deep learning model; and the false alarm non-compliant segment is input into the deep learning model for model updating.

5. The text error correction method according to claim 1, characterized in that: The multi-standard review of the correction content includes: The deep learning model is called to review the corrected content according to review specifications based on a number of non-compliant sensitive words.

6. The text error correction method according to claim 5, characterized in that: The multi-standard review of the correction content is carried out to obtain the review results, including: If the corrected content meets the review standards of the non-compliant sensitive words, the review result is set as approved; If the correction content does not meet the review specifications of any of the non-compliant sensitive words, the review result is set as review failure.

7. The text error correction method according to claim 1, characterized in that: The re-correcting the correction content according to the audit result includes: When the audit result is that the audit fails, the user is prompted to revise the correction content again.

8. The text error correction method according to claim 1, characterized in that: The re-correcting the correction content according to the audit result also includes: When the audit result is approved, the user is prompted that the correction is successful.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the text error correction method described in any one of claims 1 to 8 are implemented.

10. A computer device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; wherein: The memory is used to store computer programs; The processor is used to execute the steps of the text error correction method according to any one of claims 1 to 8 by running the program stored in the memory.

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