CN113485562A - Text information error correction method and related product - Google Patents

Text information error correction method and related product Download PDF

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Publication number
CN113485562A
CN113485562A CN202110822446.2A CN202110822446A CN113485562A CN 113485562 A CN113485562 A CN 113485562A CN 202110822446 A CN202110822446 A CN 202110822446A CN 113485562 A CN113485562 A CN 113485562A
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Prior art keywords
keywords
terminal
categories
written characters
wrongly
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CN202110822446.2A
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欧文波
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Shenzhen Huashengyuan Technology Co ltd
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Shenzhen Huashengyuan Technology Co ltd
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Priority to CN202110822446.2A priority Critical patent/CN113485562A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
    • G06F3/0233—Character input methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/232—Orthographic correction, e.g. spell checking or vowelisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The present disclosure provides a text information error correction method and related products, the method includes the following steps: after a terminal enters an application program, receiving a first text message input by a user; the terminal performs word segmentation processing on the first text message to determine keywords of the first text message; the terminal classifies the keywords to determine n keywords of independent categories in the keywords, inputs n sentences in which the n keywords are located into a recurrent neural network to calculate and determine whether the n keywords are wrongly written characters, and if the n keywords are determined to be wrongly written characters, carries out error correction processing on the wrongly written characters. The technical scheme provided by the application has the advantage of high user experience.

Description

Text information error correction method and related product
Technical Field
The invention relates to the technical field of communication, in particular to a text information error correction method and a related product.
Background
Text information and text messages are text information input by a user, and error correction processing cannot be executed after the text information is input in the existing application program, namely, what is input by the user and sent is often generated, so that the existing application program cannot correct wrongly written characters of the text information, and the experience degree of the user is reduced.
Disclosure of Invention
The embodiment of the invention provides a text information error correction method and a related product, which can realize error correction of wrongly written characters of a text message and have the advantage of improving user experience.
In a first aspect, an embodiment of the present invention provides a text information error correction method, where the method includes the following steps:
after a terminal enters an application program, receiving a first text message input by a user;
the terminal performs word segmentation processing on the first text message to determine keywords of the first text message;
the terminal classifies the keywords to determine n keywords of independent categories in the keywords, inputs n sentences in which the n keywords are located into a recurrent neural network to calculate and determine whether the n keywords are wrongly-written characters, and sends a prompt message if the ith keyword in the n keywords is wrongly-written character.
Optionally, the step of classifying, by the terminal, the plurality of keywords to determine n keywords of a single category in the plurality of keywords specifically includes:
inputting the keywords into a classifier to determine a plurality of categories of the keywords, determining similar categories and single categories from the categories, and extracting n keywords corresponding to the single categories, wherein n is an integer greater than or equal to 1.
Optionally, the sending the prompt message specifically includes:
and highlighting or marking the wrongly written characters, and popping up prompt information.
Optionally, the method further includes:
the cursor is moved to the location of one of the n keywords.
In a second aspect, a terminal is provided, which includes: a processor, a camera and a display screen, which is characterized in that,
the display screen is used for receiving a first text message input by a user after entering an application program;
the processor is used for performing word segmentation processing on the first character message to determine a keyword of the first character message; classifying the keywords to determine n keywords of a single category in the keywords, inputting n sentences in which the n keywords are located into a recurrent neural network, calculating to determine whether the n keywords are wrongly-written characters, and sending a prompt message if the ith keyword in the n keywords is wrongly-written character.
Optionally, the processor is specifically configured to input the multiple keywords into the classifier to determine multiple categories of the multiple keywords, determine a similar category and an individual category from the multiple categories, and extract n keywords corresponding to the individual category, where n is an integer greater than or equal to 1.
Optionally, the processor is specifically configured to highlight or mark the wrongly written character, and pop up a prompt message.
Optionally, the processor is further configured to move the cursor to a position of one of the n keywords.
Optionally, the terminal is: a smart phone or a tablet computer.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the invention has the following beneficial effects:
it can be seen that, according to the technical scheme provided by the application, after the first text message input by the user is collected, the keywords of the first text message are obtained through word segmentation processing, then the keywords are classified to obtain n keywords of a single category, and then the n keywords are calculated in the recurrent neural network to determine whether the keywords are wrongly written characters, if the keywords belong to wrongly written characters, if the ith keyword in the n keywords is determined to be wrongly written characters, the error correction processing is performed on the wrongly written characters, so that the experience degree of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a terminal.
Fig. 2 is a flow chart of a text information error correction method.
Fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
An application, which refers to a computer program designed to perform one or more specific tasks, operates in a user mode, can interact with a user, and has a visual user interface. The application is again typically divided into two parts: graphical User Interface (GUI) and engine (engine) it is different from the concept of application software. Application software refers to the classification of purposes used, and may be a single program or a collection of other dependent components, such as Microsoft Office, Openoffice. An application refers to a single executable file or a single program, such as Word, Photoshop. The two may not be carefully distinguished on a daily basis. A program is generally considered to be an integral part of software.
Referring to fig. 1, fig. 1 provides a terminal, which may specifically be a smart phone, a tablet computer, a computer, and a server, where the smart phone may be a terminal of an IOS system, an android system, and the terminal may specifically include: the device comprises a processor, a memory, a camera and a display screen, wherein the above components may be connected through a bus or in other ways.
Referring to fig. 2, fig. 2 provides a text information error correction method, which is shown in fig. 2 and executed by the terminal shown in fig. 1, and which includes the following steps:
step S201, after the terminal enters an application program, receiving a first text message input by a user;
the first text message input by the user can be acquired in various ways, for example, the corresponding text message can be acquired through a touch display screen, and certainly, in practical application, the first text message can also be acquired in other ways, for example, a keyboard and the like.
The application program may be various application programs capable of inputting text messages, for example, instant messaging software, such as WeChat, facebook, and the like, and may also be other application programs, such as short video, microblog, and the like, in practical applications. The present application does not limit the specific implementation of the above application.
The instant messaging software is software for realizing online chatting and exchanging through an instant messaging technology. There are 2 kinds of architecture forms, one is C/S architecture, adopt the customer end/server form, the customer needs to download and install the customer end software in the course of using. Instant messaging is a service where a terminal connects to an instant messaging network. Instant messaging differs from e-mail in that its conversation is instant. Most instant messaging services provide the feature of presence aware-displaying a list of contacts whether they are online and available to talk to them.
The microblog is a broadcast social media and network platform sharing short real-time information through an attention mechanism based on user relationship information sharing, spreading and obtaining. The user is allowed to access through Web, Wap, Mail, App, IM, SMS and various mobile terminals such as PC, mobile phone, etc., and the instant sharing, transmission and interaction of information are realized in multimedia forms such as characters, pictures, videos, etc.
Step S202, the terminal carries out word segmentation processing on the first character message to determine a keyword of the first character message;
step S203, the terminal classifies the plurality of keywords to determine n keywords of independent categories in the plurality of keywords, inputs n sentences in which the n keywords are located into a recurrent neural network to calculate and determine whether the n keywords are wrongly-written characters, and if the ith keyword in the n keywords is determined to be wrongly-written characters, carries out error correction processing on the wrongly-written characters.
According to the technical scheme, after the first character message input by the user is collected, keywords of the first character message are obtained through word segmentation processing, then the keywords are classified to obtain n keywords of single categories, and then the n keywords are calculated in the recurrent neural network to determine whether the keywords are wrongly-written characters or not, if the keywords belong to wrongly-written characters, prompt messages are sent to prompt the user to modify the keywords, so that error correction processing is achieved, and user experience is improved.
For example, the performing the error correction process on the erroneous word may specifically include:
extracting letter information and an input method input by wrongly-written characters, determining w pieces of pinyin information corresponding to the letter information according to the letter information and the input method, replacing the ith keyword with w pieces of first selected characters corresponding to the w pieces of pinyin information to obtain w pieces of sentences to be selected, respectively inputting the w pieces of sentences to be selected into a recurrent neural network to operate to obtain w pieces of confidence coefficients of the w pieces of candidate sentences, and determining the candidate sentence corresponding to the highest confidence coefficient in the w pieces of confidence coefficients as a correct sentence after error correction processing.
The above-mentioned obtaining w confidence degrees of w candidate sentences by inputting w candidate sentences into the recurrent neural network operation respectively may specifically include:
taking one character in w first selected characters as input information of a first moment of the cyclic neural network operation, performing the cyclic neural network operation on pinyin information after the one character as the input information of the subsequent moment to obtain a subsequent confidence rate of the subsequent moment, extracting x confidence rates of x keywords (namely x keywords (existing keywords)) after the one character) contained in w sentences to be selected from the subsequent confidence rates, calculating an average value of the x confidence rates to obtain a confidence degree of a candidate sentence corresponding to the one character, and traversing the w sentence candidates to obtain w confidence degrees.
The x keywords are existing keywords, that is, keywords included in the original sentence without replacing the wrongly written words and subsequent keywords included in the wrongly written words.
Optionally, the step of determining n keywords of an individual category in the plurality of keywords by the terminal performing classification processing on the plurality of keywords may include:
inputting the keywords into a classifier, determining a plurality of categories of the keywords, determining similar categories and single categories from the categories, and extracting n keywords corresponding to the single categories, wherein n is an integer greater than or equal to 1. The above-mentioned individual classes are classes that do not exist or are not related to similar classes, and the similar classes can be confirmed by a mapping table.
The classifier may be a general classifier, such as a support vector machine, or may also be a neural network classification model, and the like, and the application does not limit the implementation manner of the classifier.
Optionally, the performing the error correction processing on the erroneous word may specifically include:
and highlighting or marking the wrongly written characters, and popping up prompt information to prompt a user to input correct characters.
Optionally, the method may further include:
the cursor is moved to the position of one keyword in the n keywords, and the scheme can be convenient for the user to modify.
The above operation method of the recurrent neural network can be a technical solution in the prior art.
Referring to fig. 3, fig. 3 provides a terminal including: a processor, a camera and a display screen,
the display screen is used for receiving a first text message input by a user after entering an application program;
the processor is used for performing word segmentation processing on the first character message to determine a keyword of the first character message; classifying the keywords to determine n keywords of a single category in the keywords, inputting n sentences in which the n keywords are located into a recurrent neural network, calculating to determine whether the n keywords are wrongly-written characters, and sending a prompt message if the ith keyword in the n keywords is wrongly-written character.
As an example of this, it is possible to provide,
the processor is specifically configured to input the multiple keywords into the classifier to determine multiple categories of the multiple keywords, determine similar categories and individual categories from the multiple categories, and extract n keywords corresponding to the individual categories, where n is an integer greater than or equal to 1.
As an example of this, it is possible to provide,
the processor is specifically configured to highlight or mark the wrongly written characters and pop up prompt information.
As an example of this, it is possible to provide,
the processor is further configured to move the cursor to a position of one of the n keywords.
As an example of this, it is possible to provide,
the terminal according to the embodiment of the present application is a device having a wireless communication function, and may be referred to as User Equipment (UE), a Mobile Station (MS), a Mobile Terminal (MT), an access terminal device, a vehicle-mounted terminal device, an industrial control terminal device, a UE unit, a UE station, a mobile station, a remote terminal device, a mobile device, a UE terminal device, a wireless communication device, a UE agent, a UE apparatus, or the like. The terminal device may be fixed or mobile. It should be noted that the terminal device may support at least one wireless communication technology, such as LTE, New Radio (NR), and the like. For example, the terminal device may be a mobile phone (mobile phone), a tablet (pad), a desktop, a notebook, a kiosk, a vehicle-mounted terminal, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving, a wireless terminal in remote surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in city (PDA) a wireless terminal in smart home, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a wireless local loop (PDA) a wireless local area, a wireless personal digital assistant (wldi), a handheld wireless terminal with personal communication function, and a wireless terminal with personal communication function, A computing device or other processing device connected to a wireless modem, a wearable device.
Embodiments of the present invention also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the text information error correction methods described in the above method embodiments.
Embodiments of the present invention also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to perform part or all of the steps of any one of the text information error correction methods as described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may be performed in other orders or concurrently according to the present invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules illustrated are not necessarily required to practice the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of a receiving hardware or a receiving software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method for correcting text information, said method comprising the steps of:
after a terminal enters an application program, receiving a first text message input by a user;
the terminal performs word segmentation processing on the first text message to determine keywords of the first text message;
the terminal classifies the keywords to determine n keywords of independent categories in the keywords, inputs n sentences in which the n keywords are located into a recurrent neural network to calculate and determine whether the n keywords are wrongly written characters, and if the ith keyword in the n keywords is determined to be wrongly written characters, carries out error correction processing on the wrongly written characters.
2. The method of claim 1, wherein the terminal classifies a plurality of keywords into n keywords of a single category among the plurality of keywords, the method comprising:
inputting the keywords into a classifier to determine a plurality of categories of the keywords, determining similar categories and single categories from the categories, and extracting n keywords corresponding to the single categories, wherein n is an integer greater than or equal to 1.
3. The method according to claim 1, wherein the sending the prompting message specifically comprises:
and highlighting or marking the wrongly written characters, and popping up prompt information.
4. The method of claim 1, further comprising:
the cursor is moved to the location of one of the n keywords.
5. A terminal, the terminal comprising: a processor, a camera and a display screen, which is characterized in that,
the display screen is used for receiving a first text message input by a user after entering an application program;
the processor is used for performing word segmentation processing on the first character message to determine a keyword of the first character message; classifying the keywords to determine n keywords of a single category in the keywords, inputting n sentences in which the n keywords are located into a recurrent neural network to calculate and determine whether the n keywords are wrongly-written characters, and if the ith keyword in the n keywords is determined to be wrongly-written characters, performing error correction on the wrongly-written characters.
6. The terminal of claim 5,
the processor is specifically configured to input the multiple keywords into the classifier to determine multiple categories of the multiple keywords, determine similar categories and individual categories from the multiple categories, and extract n keywords corresponding to the individual categories, where n is an integer greater than or equal to 1.
7. The terminal of claim 5,
the processor is specifically configured to highlight or mark the wrongly written characters and pop up prompt information.
8. The terminal of claim 5,
the processor is further configured to move the cursor to a position of one of the n keywords.
9. A terminal according to any of claims 5-8,
the terminal is as follows: a smart phone or a tablet computer.
10. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method as provided in any one of claims 1-4.
CN202110822446.2A 2021-07-21 2021-07-21 Text information error correction method and related product Withdrawn CN113485562A (en)

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CN202110822446.2A CN113485562A (en) 2021-07-21 2021-07-21 Text information error correction method and related product

Publications (1)

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CN113485562A true CN113485562A (en) 2021-10-08

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