CN110633461B - Document detection processing method, device, electronic equipment and storage medium - Google Patents

Document detection processing method, device, electronic equipment and storage medium Download PDF

Info

Publication number
CN110633461B
CN110633461B CN201910851135.1A CN201910851135A CN110633461B CN 110633461 B CN110633461 B CN 110633461B CN 201910851135 A CN201910851135 A CN 201910851135A CN 110633461 B CN110633461 B CN 110633461B
Authority
CN
China
Prior art keywords
text
paragraph
identifier
processing
detection result
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910851135.1A
Other languages
Chinese (zh)
Other versions
CN110633461A (en
Inventor
李利
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Priority to CN201910851135.1A priority Critical patent/CN110633461B/en
Publication of CN110633461A publication Critical patent/CN110633461A/en
Application granted granted Critical
Publication of CN110633461B publication Critical patent/CN110633461B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The application provides a document detection processing method, a device, electronic equipment and a storage medium, and relates to the field of document editing, wherein the method comprises the following steps: obtaining a detection result of a text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence relation between the detection result and the modification suggestion on the diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, which results in lower text editing accuracy and efficiency, the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card mode, and a user can trigger the corresponding text format processing identifier to directly call the editor control to process the text according to the requirement, so that the text detection processing efficiency is improved while the processing accuracy is ensured.

Description

Document detection processing method, device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a document detection processing method, a device, an electronic device, and a storage medium.
Background
In general, various format low-quality problems such as: mispronounced words, incorrect punctuation, overlong paragraph content, etc.
In the related art, the user is required to find and position the problems, and the manual modification is required, so that the operation is complicated, and the accuracy and the efficiency of text editing are low.
Disclosure of Invention
The present application aims to solve, at least to some extent, one of the technical problems in the related art described above.
Therefore, a first object of the present application is to provide a document detection processing method, which solves the technical problem that in the prior art, the error positioning processing operation of the document is complicated, resulting in lower accuracy and efficiency of text editing, and displays detection results and modification suggestions in a one-to-one correspondence manner through a form of a diagnosis card, so that a user can trigger corresponding text format processing identifiers to directly call an editor control to process a text as required, thereby improving text detection processing efficiency while ensuring processing accuracy.
A second object of the present application is to provide a document detection processing apparatus.
A third object of the present application is to propose a computer device.
A fourth object of the present application is to propose a non-transitory computer readable storage medium.
To achieve the above object, an embodiment of a first aspect of the present application provides a document detection processing method, including: obtaining a detection result of a text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence between the detection result and the modification suggestion on a diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling an editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control.
In addition, the document detection processing method of the embodiment of the application also has the following additional technical characteristics: optionally, the processing the text according to the text format processing identifier in the interface of the editor control includes: determining a target paragraph position in an interface of the editor control according to the text format processing identifier, and carrying out style transformation on a target text corresponding to the target paragraph position in a preset processing mode; and/or deleting the target file corresponding to the text format processing identifier in the interface of the editor control; and/or acquiring a text to be modified according to the text format processing identifier, acquiring a correct text corresponding to the text to be modified, and carrying out replacement processing on the text to be modified according to the correct text in an interface of the editor control; and/or acquiring a target misplaced word and a target position label according to the text format processing identifier, and determining the target position of the target misplaced word in an interface of the editor control according to the target position label.
Optionally, the displaying the one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display manner includes: classifying the detection result: and displaying the one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
Optionally, the method further comprises: receiving a diagnosis card stowing operation request triggered by a user; and controlling the diagnostic card to be displayed at a preset position of an interface of the editor control in the form of a floating window.
Optionally, before the text passage to be detected is sent to the server, the method further includes: when the text content is added on the interface of the editor control is monitored, a text paragraph identifier corresponding to the added text content is obtained; if the text paragraph identifier corresponding to the added text content is not obtained, generating the text paragraph identifier corresponding to the added text content; and receiving a document detection processing request triggered by a user to determine a text paragraph identifier to be detected, and determining the text paragraph to be detected according to the text paragraph identifier to be detected.
Optionally, the detection result includes: paragraph lengths, advertisements, blank lines, indentation errors, subtitle usage non-norms, picture usage non-norms, punctuation errors, and misplaced words.
To achieve the above object, an embodiment of a second aspect of the present application provides a document detection processing apparatus, including: the sending and receiving module is used for obtaining a detection result of a text paragraph to be detected; the first acquisition module is used for acquiring modification suggestions corresponding to the detection result; the display module is used for displaying the one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display mode; the first receiving module is used for receiving a text format processing identifier triggered by a user; and the processing module is used for calling an editor according to the text format processing identifier, and processing the text in the editor according to the text format processing identifier.
In addition, the document detection processing device of the embodiment of the application also has the following additional technical characteristics:
optionally, the processing module is specifically configured to: determining a target paragraph position in an interface of the editor control according to the text format processing identifier, and carrying out style transformation on a target text corresponding to the target paragraph position in a preset processing mode; and/or deleting the target file corresponding to the text format processing identifier in the interface of the editor control; and/or acquiring a text to be modified according to the text format processing identifier, acquiring a correct text corresponding to the text to be modified, and carrying out replacement processing on the text to be modified according to the correct text in an interface of the editor control; and/or acquiring a target misplaced word and a target position label according to the text format processing identifier, and determining the target position of the target misplaced word in an interface of the editor control according to the target position label.
Optionally, the display module is specifically configured to: classifying the detection result: and displaying the one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
Optionally, the apparatus further comprises: the second receiving module is used for receiving a diagnosis card stowing operation request triggered by a user; and the control module is used for controlling the diagnostic card to be displayed at a preset position of the interface of the editor control in the form of a floating window.
Optionally, the apparatus further includes: the second acquisition module is used for acquiring text paragraph identifiers corresponding to the added text content when the text content is added on the interface of the editor control; the generation module is used for generating a text paragraph identifier corresponding to the added text content if the text paragraph identifier corresponding to the added text content is not acquired; the determining module is used for receiving a document detection processing request triggered by a user to determine a text paragraph identifier to be detected, and determining the text paragraph to be detected according to the text paragraph identifier to be detected.
To achieve the above object, embodiments of a third aspect of the present application provide a computer apparatus, including: a processor and a memory; wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the document detection processing method as described in the embodiment of the first aspect.
To achieve the above object, an embodiment of a fourth aspect of the present application proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the document detection processing method according to the embodiment of the first aspect.
To achieve the above object, an embodiment of a fifth aspect of the present application proposes a computer program product, which when executed by a processor, implements a document detection processing method according to an embodiment of the first aspect.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
obtaining a detection result of a text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence relation between the detection result and the modification suggestion on the diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a document detection processing method according to one embodiment of the present application;
FIG. 2 is an exemplary diagram of a diagnostic card according to one embodiment of the present application;
FIG. 3 is a flow chart of a document detection processing method according to another embodiment of the present application;
FIG. 4 is a flow chart of a document detection processing method according to yet another embodiment of the present application;
FIG. 5 is a flow chart of a document detection processing method according to yet another embodiment of the present application;
FIG. 6 is a schematic diagram of a document detection processing apparatus according to one embodiment of the present application;
FIG. 7 is a schematic view of a document detection processing apparatus according to another embodiment of the present application;
FIG. 8 is a schematic view of a document detection processing apparatus according to still another embodiment of the present application;
fig. 9 is a schematic structural view of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The document detection processing method, apparatus, electronic device, and storage medium of the embodiments of the present application are described below with reference to the accompanying drawings.
Aiming at the technical problems that in the prior art, the document error positioning processing operation is complicated, so that the accuracy and the efficiency of text editing are lower. Aiming at the problems, the application provides a document detection processing method, which displays detection results and modification suggestions in a one-to-one correspondence manner through a diagnosis card, and a user can trigger corresponding text format processing identifiers to directly call an editor control to process texts according to requirements, so that the accuracy of the processing is ensured, and meanwhile, the text detection processing efficiency is improved.
Specifically, the editor control in the application is only responsible for handling error prompts in the interface of the editor control, including: the diagnostic card needs to be responsible for informing the editor control to take out full text content, paragraph content and the like in the interface of the editor control, receiving the returned content of the editor control, detecting the returned content sending request, sending the returned content to the server, receiving the detection result returned by the server, and also detecting the returned content locally.
Specifically, fig. 1 is a flowchart of a document detection processing method according to an embodiment of the present application, as shown in fig. 1, the method includes:
step 101, obtaining a detection result of a text paragraph to be detected.
In practical application, the document detection process can be performed on the whole document or part of the document, or can be performed in real time in the editing process, and can be selected according to the practical application requirement.
Specifically, in the present application, text paragraphs are used as minimum particles to process format errors of articles, when loading editor content, all paragraphs are scanned, whether corresponding text paragraph identifiers exist is checked, if not, a text paragraph identifier is generated for the corresponding text paragraph identifiers, and then the identification and modification of the text content are modified based on the paragraphs.
As an example, a text paragraph to be detected is determined according to one or more text paragraph identifiers and sent to the server, it can be understood that the server can detect the text paragraph to be detected by means of a preset template or a preset algorithm and generate a corresponding detection result, and therefore the detection result fed back by the server can be received. The detection result can be wrongly written characters, punctuation marks, and the resolution of the picture is not in accordance with the requirements, etc.
As another example, it is determined that the text paragraph to be detected is detected locally according to one or more text paragraph identifiers, and it is understood that the text paragraph to be detected may also be detected locally by means of a preset template or a preset algorithm, etc., and a corresponding detection result is generated, so that a detection result fed back locally may be received. The detection result may be one or more of a long paragraph, an advertisement, a blank line, a setback error, a subtitle use non-standard, a picture use non-standard (for example, a picture resolution is not satisfactory), a punctuation error, and a mispronounced word.
Step 102, obtaining a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display mode.
Specifically, the server feeds back the detection result with the error, so as to obtain a modification suggestion corresponding to the detection result, and select a preset display mode on the diagnosis card according to the need to display the one-to-one correspondence between the detection result and the modification suggestion.
The different detection results correspond to different modification suggestions, for example, the detection results are error texts, the corresponding correct texts can be obtained, the one-to-one correspondence between the error texts and the correct texts is displayed, for example, the detection results are error-free, the modification suggestions can be continuous editing, the one-to-one correspondence between the error-free and continuous editing is displayed, and the like.
The one-to-one correspondence relationship between the detection result and the modification suggestion is displayed on the diagnosis card in a preset display mode according to the need, as an example, the detection result is classified, the one-to-one correspondence relationship between the detection result and the modification suggestion is displayed on the diagnosis card in a list form according to the classification result, and the same type of error problems are classified and displayed, so that the user can conveniently check and operate, and the user experience is improved.
In the application, a compact (compact is a declarative, efficient and flexible JavaScript library for constructing a user interface, and can combine some short and independent components into a complex UI interface to efficiently complete the development of the UI interface) is used to develop a diagnostic card, and compact is data-driven, and is componentized into a design concept, and the data-driven realizes decoupling of operation logic and page nodes, and componentization means reusability, and realizes high abstraction of the components, so that the compact can greatly improve development efficiency, and support rapid iteration of services.
For example, as shown in fig. 2A, the diagnostic card is in a floating window form at any position of the control interface of the editor, and more diagnostic contents can be displayed by clicking or double clicking the diagnostic card, for example, as shown in fig. 2B, and a one-to-one correspondence between the detection result and the modification suggestion, for example, three minutes into the eye-three minutes into the wood, is displayed.
And step 103, receiving a text format processing identifier triggered by the user.
And 104, calling an editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control.
It will be appreciated that after displaying the one-to-one correspondence between the detection result and the modification suggestion, the user may perform a selection process as required, such as the adoption button triggering text format processing identifier in fig. 2B, for example, as follows:
in a first example, determining a target paragraph position according to a text format processing identifier in an interface of an editor control, and performing style transformation on a target text corresponding to the target paragraph position in a preset processing mode.
In a first example, deleting the target file corresponding to the text format processing identifier in an interface of the editor control, acquiring a text to be modified according to the text format processing identifier, sending the text to be modified to a server, receiving a correct text fed back by the server, and carrying out replacement processing on the text to be modified according to the correct text in the interface of the editor control.
In a third example, a target misplaced word and a target position tag are obtained from the text format processing identifier, and a target position of the target misplaced word is determined from the target position tag in an interface of the editor control.
In summary, the document detection processing method of the embodiment of the application obtains the detection result of the text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence relation between the detection result and the modification suggestion on the diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
FIG. 3 is a flow chart of a document detection processing method according to another embodiment of the present application, as shown in FIG. 2, before step 101, the method further includes:
step 201, when the text content is added on the interface of the editor control is monitored, a text paragraph identifier corresponding to the added text content is obtained.
Step 202, if the text paragraph identifier corresponding to the added text content is not obtained, generating the text paragraph identifier corresponding to the added text content.
Step 203, a document detection processing request triggered by a user is received to determine a text paragraph identifier to be detected, and a text paragraph to be detected is determined according to the text paragraph identifier to be detected.
Specifically, in the present application, text paragraphs are used as minimum particles to process format errors of articles, when loading contents in an editor control interface, all paragraphs are scanned, whether corresponding text paragraph identifiers exist is checked, if not, a text paragraph identifier is generated for the corresponding text paragraph identifiers, and then identification and modification of the text contents are modified based on the paragraphs.
Therefore, the user can trigger one or more text paragraph identifiers to determine the text paragraphs to be detected by selecting part or all of the content, and the document detection processing efficiency can be further improved.
FIG. 4 is a flow chart of a document detection processing method according to yet another embodiment of the present application, as shown in FIG. 3, the method comprising:
step 301, a text paragraph to be detected is sent to a server, and a detection result fed back by the server is received.
In practical application, the document detection process can be performed on the whole document or part of the document, or can be performed in real time in the editing process, and can be selected according to the practical application requirement.
Specifically, in the present application, text paragraphs are used as minimum particles to process format errors of articles, when contents in an editor control interface are loaded, all paragraphs are scanned, whether corresponding text paragraph identifiers exist is checked, if not, a text paragraph identifier is generated for the corresponding text paragraph identifiers, and then identification and modification of the text contents are modified based on the paragraphs.
As an example, a text paragraph to be detected is determined according to one or more text paragraph identifiers and sent to the server, it can be understood that the server can detect the text paragraph to be detected by means of a preset template or a preset algorithm and generate a corresponding detection result, and therefore the detection result fed back by the server can be received. The detection result can be wrongly written characters, punctuation marks, and the resolution of the picture is not in accordance with the requirements, etc.
Step 302, obtaining a modification suggestion corresponding to the detection result, classifying the detection result, and displaying a one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
Specifically, the detection result may have various low-quality problems in a format, such as: the problems of wrongly written words, wrong punctuation, overlong paragraph content and the like can be given corresponding rewrite suggestions, and modification suggestions corresponding to detection results are obtained, namely, the rewrite functions of wrongly written words and wrong punctuation are provided, so that the problem of low quality of articles is reduced, and the quality of the articles is improved; improving the auxiliary writing function and improving the use experience of authors.
Further, the one-to-one correspondence between the detection result and the modification suggestion is displayed on the diagnosis card in a list form according to the classification result, and the problems of the same class are classified into one class list display, so that the user can conveniently check and operate
Step 303, receiving a text format processing identifier triggered by a user.
Step 304, determining the position of the target paragraph according to the text format processing identifier in the interface of the editor control, and performing style transformation on the target text corresponding to the position of the target paragraph in a preset processing mode.
And 305, deleting the target file corresponding to the text format processing identifier in the interface of the editor control.
It should be noted that, in this application, the diagnostic card and the editor may safely implement cross-source communication based on the postMessage mode, and generally, for scripts of two different pages, only when the pages executing them are located in a script having the same protocol (usually https), a port number (e.g. 443 is a default value of https), and a host (the modules document. Domain of the two pages are set to the same value), these two scripts can communicate with each other, where the communication protocol may include 3 fields, type (indicating the source), action (the editor or the diagnostic card needs to do), and data (all data).
Specifically, the user clicks the corresponding error to receive the text format processing identifier triggered by the user, the diagnostic card transmits the text paragraph identifier to the editor in a postMessage mode, the editor finds the position of the target paragraph corresponding to the text paragraph identifier, for example, the current element is scrolled into the visible area of the browser window by a scrollIntoView method, the corresponding css style is added, the background color of the paragraph is changed to be red, that is, the error paragraph is scrolled into the current viewport area, and the background color of the error paragraph can float red, so that the user can conveniently and rapidly locate the error content.
Specifically, for errors which can be directly deleted, such as blank lines and blurred pictures, the editor finds the corresponding target file according to the text format processing identifier and directly deletes the target file.
In summary, according to the document detection processing method of the embodiment of the application, a text paragraph to be detected is sent to a server, a detection result fed back by the server is received, modification suggestions corresponding to the detection result are obtained, the detection result is classified, a one-to-one correspondence between the detection result and the modification suggestions is displayed on a diagnosis card in a list form according to the classification result, text format processing identifiers triggered by a user are received, a target paragraph position is determined according to the text format processing identifiers in an interface of an editor control, style conversion is performed on a target text corresponding to the target paragraph position in a preset processing mode, and a target file corresponding to the text format processing identifiers is deleted in the interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
FIG. 5 is a flow chart of a document detection processing method according to yet another embodiment of the present application, as shown in FIG. 4, the method comprising:
step 401, a text paragraph to be detected is sent to a server, and a detection result fed back by the server is received.
In practical application, the document detection process can be performed on the whole document or part of the document, or can be performed in real time in the editing process, and can be selected according to the practical application requirement.
Specifically, in the present application, text paragraphs are used as minimum particles to process format errors of articles, when loading contents in an editor control interface, all paragraphs are scanned, whether corresponding text paragraph identifiers exist is checked, if not, a text paragraph identifier is generated for the corresponding text paragraph identifiers, and then identification and modification of the text contents are processed based on the paragraphs.
As an example, a text paragraph to be detected is determined according to one or more text paragraph identifiers and sent to the server, it can be understood that the server can detect the text paragraph to be detected by means of a preset template or a preset algorithm and generate a corresponding detection result, and therefore the detection result fed back by the server can be received. The detection result can be wrongly written characters, punctuation marks, and the resolution of the picture is not in accordance with the requirements, etc.
Step 402, obtaining a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display mode.
Specifically, the server feeds back the detection result with the error, so as to obtain a modification suggestion corresponding to the detection result, and select a preset display mode on the diagnosis card according to the need to display the one-to-one correspondence between the detection result and the modification suggestion.
The one-to-one correspondence relationship between the detection result and the modification suggestion is displayed on the diagnosis card in a preset display mode according to the need, as an example, the detection result is classified, the one-to-one correspondence relationship between the detection result and the modification suggestion is displayed on the diagnosis card in a list form according to the classification result, and the same type of error problems are classified and displayed, so that the user can conveniently check and operate, and the user experience is improved.
In the application, a compact (compact is a declarative, efficient and flexible JavaScript library for constructing a user interface, and can combine some short and independent components into a complex UI interface to efficiently complete the development of the UI interface) is used to develop a diagnostic card, and compact is data-driven, and is componentized into a design concept, and the data-driven realizes decoupling of operation logic and page nodes, and componentization means reusability, and realizes high abstraction of the components, so that the compact can greatly improve development efficiency, and support rapid iteration of services.
Step 403, receiving a text format processing identifier triggered by the user.
Step 404, obtaining the text to be modified according to the text format processing identifier, obtaining the correct text corresponding to the text to be modified, and performing replacement processing on the text to be modified according to the correct text in the interface of the editor control.
Step 405, obtaining the target misplaced word and the target position label according to the text format processing identifier, and determining the target position of the target misplaced word according to the target position label in the interface of the editor control.
In the application, for a diagnosis request, the diagnosis card needs to render the diagnosis card according to returned contents, and inform an editor of an array of paragraphs needing to be replaced, and the editor needs to replace corresponding wrongly written words or wrongly punctuation paragraphs in the editor according to the array; for adopting the processing request, the diagnosis card needs to inform the editor to return the corresponding error paragraph, receive the returned error paragraph, send the content to the server, process the error paragraph by the server, return the processed result to the diagnosis card, and inform the editor to replace or process the corresponding content by the diagnosis card.
Specifically, the user clicks the text format processing identifier triggered by the adoption of the diagnosis card, invokes the strategy capability to rewrite the corresponding error content, returns the processed modification suggestion, and directly replaces the modification suggestion by the editor.
Specifically, in the prior art, the recognition rate of the wrongly written word and the corresponding offset thereof are returned, which is only 30%, because the strategy only carries out the wrongly written word recognition on the plain text, the content in the editor is an html structure, the html structure contains a plurality of html labels, the result is inaccurate positioning, and for the same text under the same label, which wrongly written word can not be determined. Therefore, the method provides the recognition of various article format errors, and improves the recognition rate of wrongly written characters and wrong punctuations.
It should be noted that the error prompt may not be adopted, and the user may trigger to click to close, and after closing, the corresponding type of error will not be reminded any more in the editing process. That is, a rewrite capability is provided, and after the user selects to adopt, the user is automatically replaced with the rewrite capability, and a capability is provided to adopt a plurality of questions together; the user can close the card, and after closing, the corresponding wrong card is not reminded any more.
Step 406, a diagnostic card retract operation request triggered by a user is received.
In step 407, the diagnostic card is controlled to be displayed in a floating window at a preset position on the interface of the editor control.
Specifically, the user can trigger the operation request for stowing the diagnostic card according to the requirement, so that the diagnostic card is controlled to be displayed at the preset position of the editor in the form of a floating window, the user can edit the diagnostic card conveniently, and the user experience is improved.
In summary, according to the document detection processing method of the embodiment of the application, a text paragraph to be detected is sent to a server, a detection result fed back by the server is received, a modification suggestion corresponding to the detection result is obtained, a one-to-one correspondence between the detection result and the modification suggestion is displayed on a diagnosis card in a preset display mode, a text format processing identifier triggered by a user is received, a text to be modified is obtained according to the text format processing identifier, the text to be modified is sent to the server, the modification suggestion fed back by the server is received, replacement processing is carried out on the text to be modified according to the modification suggestion in an interface of an editor control, a target mispronounced word and a target position tag are obtained according to the text format processing identifier, and a target position of the target mispronounced word is determined according to the target position tag in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
In order to achieve the above embodiment, the present application further proposes a document detection processing apparatus. Fig. 6 is a schematic structural view of a document detection processing apparatus according to an embodiment of the present application, as shown in fig. 6, the document detection processing apparatus includes: a transmitting and receiving module 501, a first obtaining module 502, a display module 503, a first receiving module 504 and a processing module 505, wherein,
the sending and receiving module 501 is configured to obtain a detection result of a text paragraph to be detected.
A first obtaining module 502, configured to obtain a modification suggestion corresponding to the detection result.
And the display module 503 is configured to display a one-to-one correspondence between the detection result and the modification suggestion on the diagnostic card in a preset display manner.
A first receiving module 504, configured to receive a text format processing identifier triggered by a user.
And the processing module 505 is used for calling an editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control.
In one embodiment of the present application, the processing module 505 is specifically configured to: determining a target paragraph position in an interface of the editor control according to the text format processing identifier, and carrying out style transformation on a target text corresponding to the target paragraph position in a preset processing mode; and/or deleting the target file corresponding to the text format processing identifier in the interface of the editor control; and/or acquiring a text to be modified according to the text format processing identifier, sending the text to be modified to a server, receiving a correct text fed back by the server, and carrying out replacement processing on the text to be modified according to the correct text in an interface of the editor control; and/or acquiring a target misplaced word and a target position label according to the text format processing identifier, and determining the target position of the target misplaced word in an interface of the editor control according to the target position label.
In one embodiment of the present application, the display module 503 is specifically configured to: classifying the detection result: and displaying the one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
In one embodiment of the present application, as shown in fig. 7, on the basis of the embodiment shown in fig. 6, the method further includes:
a second receiving module 506 and a control module 507.
And the second receiving module 506 is configured to receive a diagnostic card stowing operation request triggered by a user.
And the control module 507 is used for controlling the diagnostic card to be displayed at a preset position of the interface of the editor control in the form of a floating window.
In one embodiment of the present application, as shown in fig. 8, on the basis of the embodiment shown in fig. 6, the method further includes: a second acquisition module 508, a generation module 509, and a determination module 510.
And the second obtaining module 508 is configured to obtain a text paragraph identifier corresponding to the added text content when it is detected that the text content is added on the interface of the editor control.
And the generating module 509 is configured to generate a text paragraph identifier corresponding to the added text content if the text paragraph identifier corresponding to the added text content is not acquired.
The determining module 510 is configured to receive a document detection processing request triggered by a user, determine a text paragraph identifier to be detected, and determine a text paragraph to be detected according to the text paragraph identifier to be detected.
It should be noted that the foregoing explanation of the embodiment of the document detection processing method is also applicable to the document detection processing apparatus of this embodiment, and will not be repeated here.
In summary, the document detection processing device of the embodiment of the application obtains the detection result of the text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence relation between the detection result and the modification suggestion on the diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
According to embodiments of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 9, there is a block diagram of an electronic device according to a method of document detection processing according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 9, the electronic device includes: one or more processors 901, memory 902, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). In fig. 9, a processor 901 is taken as an example.
Memory 902 is a non-transitory computer-readable storage medium provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of document detection processing provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method of document detection processing provided by the present application.
The memory 902 is a non-transitory computer readable storage medium, and may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (e.g., the transmitting/receiving module 501, the first acquiring module 502, the display module 503, the first receiving module 504, and the processing module 505 shown in fig. 6) corresponding to the method of document detection processing in the embodiments of the present application. The processor 901 executes various functional applications of the server and data processing, that is, a method of realizing the document detection processing in the above-described method embodiment, by executing a non-transitory software program, instructions, and modules stored in the memory 902.
The memory 902 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the electronic device of the document detection process, and the like. In addition, the memory 902 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 902 optionally includes memory remotely located relative to processor 901, which may be connected to the electronic device of the document detection process via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the method of document detection processing may further include: an input device 903 and an output device 904. The processor 901, memory 902, input devices 903, and output devices 904 may be connected by a bus or other means, for example in fig. 9.
The input device 903 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device of the document detection process, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer stick, one or more mouse buttons, a track ball, a joystick, and the like. The output means 904 may include a display device, auxiliary lighting means (e.g., LEDs), tactile feedback means (e.g., vibration motors), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
In summary, the electronic device in the embodiment of the present application obtains a detection result of a text paragraph to be detected; acquiring a modification suggestion corresponding to the detection result, and displaying a one-to-one correspondence relation between the detection result and the modification suggestion on the diagnosis card in a preset display mode; receiving a text format processing identifier triggered by a user; and calling the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control. The method solves the technical problems of complicated error positioning processing operation of the Chinese text in the prior art, low accuracy and efficiency of text editing, and the detection result and the modification suggestion are correspondingly displayed one by one in a diagnosis card form, so that a user can trigger a corresponding text format processing identifier to directly call an editor control to process the text according to the requirement, thereby ensuring the accuracy of the processing and improving the text detection processing efficiency.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (10)

1. A document detection processing method for processing format errors of an article with a text paragraph as a minimum particle, the method being directed to chinese document detection, comprising the steps of:
scanning all text paragraphs when the editor control loads the content of the editor, checking whether corresponding text paragraph identifiers exist or not, and generating a text paragraph identifier for the corresponding text paragraph identifiers if the corresponding text paragraph identifiers do not exist;
determining a text paragraph to be detected according to one or more text paragraph identifiers;
obtaining a text paragraph to be detected returned by the editor control through the diagnosis card, and obtaining a detection result of the text paragraph to be detected, wherein the detection result comprises the following steps: one or more of paragraph length, advertisement, blank line, indentation error, subtitle use non-specification, picture use non-specification, punctuation error, and misplaced word;
Acquiring a modification suggestion corresponding to the detection result through the diagnosis card, and displaying a one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display mode;
receiving a text format processing identifier triggered by a user;
sending the text format processing identifier to the editor control through the diagnosis card so that the editor control calls the editor control according to the text format processing identifier, and processing text according to the text format processing identifier in an interface of the editor control;
the one-to-one correspondence between the detection result and the modification suggestion is displayed on the diagnosis card in a preset display mode, which comprises the following steps:
classifying the detection result:
and displaying the one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
2. The method of claim 1, wherein said processing text in said editor according to said text format handling identification comprises:
determining a target paragraph position in an interface of the editor control according to the text format processing identifier, and carrying out style transformation on a target text corresponding to the target paragraph position in a preset processing mode; and/or the number of the groups of groups,
Deleting the target file corresponding to the text format processing identifier in the interface of the editor control; and/or the number of the groups of groups,
acquiring a text to be modified according to the text format processing identifier, acquiring a correct text corresponding to the text to be modified, and carrying out replacement processing on the text to be modified in an interface of the editor control according to the correct text; and/or the number of the groups of groups,
and acquiring a target mispronounced word and a target position label according to the text format processing identifier, and determining the target position of the target mispronounced word in an interface of the editor control according to the target position label.
3. The method as recited in claim 1, further comprising:
receiving a diagnosis card stowing operation request triggered by a user;
and controlling the diagnostic card to be displayed at a preset position of an interface of the editor control in the form of a floating window.
4. The method of claim 1, further comprising, prior to said sending the passage of text to be detected to the server:
when the text content is added on the interface of the editor control is monitored, a text paragraph identifier corresponding to the added text content is obtained;
if the text paragraph identifier corresponding to the added text content is not obtained, generating the text paragraph identifier corresponding to the added text content;
And receiving a document detection processing request triggered by a user to determine a text paragraph identifier to be detected, and determining the text paragraph to be detected according to the text paragraph identifier to be detected.
5. A document detection processing apparatus that processes format errors of an article with text paragraphs as minimum particles, the method for chinese document detection, comprising:
the sending and receiving module is used for scanning all text paragraphs when the editor control loads the content of the editor, checking whether corresponding text paragraph identifiers exist or not, and generating a text paragraph identifier for the corresponding text paragraph identifiers if the corresponding text paragraph identifiers do not exist; determining a text paragraph to be detected according to one or more text paragraph identifiers; obtaining a text paragraph to be detected returned by the editor control through the diagnosis card, and obtaining a detection result of the text paragraph to be detected, wherein the detection result comprises the following steps: one or more of paragraph length, advertisement, blank line, indentation error, subtitle use non-specification, picture use non-specification, punctuation error, and misplaced word;
the first acquisition module is used for acquiring modification suggestions corresponding to the detection results through the diagnosis card;
The display module is used for displaying the one-to-one correspondence between the detection result and the modification suggestion on the diagnosis card in a preset display mode;
the first receiving module is used for receiving a text format processing identifier triggered by a user;
the processing module is used for sending the text format processing identifier to the editor control through the diagnosis card so that the editor control can call the editor control according to the text format processing identifier, and processing the text according to the text format processing identifier in an interface of the editor control;
the display module is specifically configured to:
classifying the detection result:
and displaying the one-to-one correspondence between the detection result and the modification suggestion in a list form on the diagnosis card according to the classification result.
6. The apparatus of claim 5, wherein the processing module is specifically configured to:
determining a target paragraph position in an interface of the editor control according to the text format processing identifier, and carrying out style transformation on a target text corresponding to the target paragraph position in a preset processing mode; and/or the number of the groups of groups,
deleting the target file corresponding to the text format processing identifier in the interface of the editor control; and/or the number of the groups of groups,
Acquiring a text to be modified according to the text format processing identifier, acquiring a correct text corresponding to the text to be modified, and carrying out replacement processing on the text to be modified in an interface of the editor control according to the correct text; and/or the number of the groups of groups,
and acquiring a target mispronounced word and a target position label according to the text format processing identifier, and determining the target position of the target mispronounced word in an interface of the editor control according to the target position label.
7. The apparatus as recited in claim 5, further comprising:
the second receiving module is used for receiving a diagnosis card stowing operation request triggered by a user;
and the control module is used for controlling the diagnostic card to be displayed at a preset position of the interface of the editor control in the form of a floating window.
8. The apparatus as recited in claim 5, further comprising:
the second acquisition module is used for acquiring text paragraph identifiers corresponding to the added text content when the text content is added on the interface of the editor control;
the generation module is used for generating a text paragraph identifier corresponding to the added text content if the text paragraph identifier corresponding to the added text content is not acquired;
The determining module is used for receiving a document detection processing request triggered by a user to determine a text paragraph identifier to be detected, and determining the text paragraph to be detected according to the text paragraph identifier to be detected.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
CN201910851135.1A 2019-09-10 2019-09-10 Document detection processing method, device, electronic equipment and storage medium Active CN110633461B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910851135.1A CN110633461B (en) 2019-09-10 2019-09-10 Document detection processing method, device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910851135.1A CN110633461B (en) 2019-09-10 2019-09-10 Document detection processing method, device, electronic equipment and storage medium

Publications (2)

Publication Number Publication Date
CN110633461A CN110633461A (en) 2019-12-31
CN110633461B true CN110633461B (en) 2024-01-16

Family

ID=68970861

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910851135.1A Active CN110633461B (en) 2019-09-10 2019-09-10 Document detection processing method, device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN110633461B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111507267B (en) * 2020-04-17 2023-05-26 北京百度网讯科技有限公司 Document orientation detection method, device, equipment and storage medium
CN111680634B (en) * 2020-06-10 2023-08-01 平安科技(深圳)有限公司 Document file processing method, device, computer equipment and storage medium
CN113837413A (en) * 2021-09-16 2021-12-24 上海塞司鹰科技有限公司 Intelligent terminal-based laboratory equipment reservation system and method and electronic equipment
CN113837580B (en) * 2021-09-16 2024-02-23 上海塞司鹰科技有限公司 Experimental equipment management system, method and computer device thereof

Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5940847A (en) * 1995-06-07 1999-08-17 Microsoft Corporation System and method for automatically correcting multi-word data entry errors
CN1387650A (en) * 1999-11-05 2002-12-25 微软公司 Language input architecture for converting one text form to another text form with minimized typographical errors and conversion errors
CN1542596A (en) * 2003-04-30 2004-11-03 Character and text unit input correction system
CN1607522A (en) * 2003-10-15 2005-04-20 佳能株式会社 User interface for creation and editing of variable data documents
CN101361064A (en) * 2005-12-16 2009-02-04 Emil有限公司 A text editing apparatus and method
CN101403947A (en) * 2008-11-19 2009-04-08 黄庆传 Computer word input method, its keyboard and mouse
CN101763343A (en) * 2008-12-23 2010-06-30 上海晨鸟信息科技有限公司 Document editor principle supporting format comparison and plagiarism check and method
CN102591850A (en) * 2011-12-28 2012-07-18 方正国际软件有限公司 Method and system for error text statement correction based on conditional statements
CN102789504A (en) * 2012-07-19 2012-11-21 姜赢 Chinese grammar correcting method and system on basis of XLM (Extensible Markup Language) rule
CN103136196A (en) * 2008-04-18 2013-06-05 上海触乐信息科技有限公司 Methods used for inputting text into electronic device and correcting error
CN103605642A (en) * 2013-11-12 2014-02-26 清华大学 Automatic error correcting method and system for text input
CN103699632A (en) * 2013-12-23 2014-04-02 深圳市开立科技有限公司 UI (user interface) text detection method and device
CN103959283A (en) * 2011-10-03 2014-07-30 谷歌公司 Interactive text editing
CN105354181A (en) * 2015-09-24 2016-02-24 四川长虹电器股份有限公司 XBRL document checking and error correction positioning method
CN108112270A (en) * 2015-09-18 2018-06-01 微软技术许可有限责任公司 Collaboration communication instrument in document editor is provided
CN108241612A (en) * 2016-12-27 2018-07-03 北京国双科技有限公司 Punctuation mark treating method and apparatus
CN108762654A (en) * 2018-05-15 2018-11-06 Oppo(重庆)智能科技有限公司 Method, apparatus, terminal and the computer readable storage medium of text editing
CN109213870A (en) * 2017-06-30 2019-01-15 埃森哲环球解决方案有限公司 Document process
CN109408476A (en) * 2018-09-19 2019-03-01 腾讯科技(深圳)有限公司 A kind of file-sharing management method, equipment and storage medium
CN109635261A (en) * 2018-11-16 2019-04-16 天津字节跳动科技有限公司 Online document content edition method, device, storage medium and electronic equipment
CN109669589A (en) * 2018-10-17 2019-04-23 天津字节跳动科技有限公司 Document edit method and device
CN109815243A (en) * 2019-02-18 2019-05-28 北京仁和汇智信息技术有限公司 A kind of structured storage method and apparatus when document interfaceization is modified
CN109901968A (en) * 2019-01-31 2019-06-18 阿里巴巴集团控股有限公司 A kind of automation page data method of calibration and device
CN110188366A (en) * 2019-05-29 2019-08-30 北京字节跳动网络技术有限公司 A kind of information processing method, device and storage medium

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060041836A1 (en) * 2002-09-12 2006-02-23 Gordon T J Information documenting system with improved speed, completeness, retriveability and granularity
US20060167676A1 (en) * 2005-01-26 2006-07-27 Research In Motion Limited Method and apparatus for correction of spelling errors in text composition
US20090319927A1 (en) * 2008-06-21 2009-12-24 Microsoft Corporation Checking document rules and presenting contextual results
US10007651B2 (en) * 2012-02-17 2018-06-26 Jens Straten Detect errors in intermediate electronic documents
US20150199307A1 (en) * 2012-08-08 2015-07-16 Google Inc. Pluggable Architecture For Optimizing Versioned Rendering of Collaborative Documents
US9471556B2 (en) * 2013-01-30 2016-10-18 Microsoft Technology Licensing, Llc Collaboration using multiple editors or versions of a feature
CN105095184A (en) * 2015-06-11 2015-11-25 周连惠 Method for spelling and grammar proofreading of text document
CN107291683A (en) * 2016-04-11 2017-10-24 珠海金山办公软件有限公司 A kind of spell checking methods and device
US11003832B2 (en) * 2018-02-07 2021-05-11 Microsoft Technology Licensing, Llc Embedded action card in editable electronic document

Patent Citations (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5940847A (en) * 1995-06-07 1999-08-17 Microsoft Corporation System and method for automatically correcting multi-word data entry errors
CN1387650A (en) * 1999-11-05 2002-12-25 微软公司 Language input architecture for converting one text form to another text form with minimized typographical errors and conversion errors
CN1542596A (en) * 2003-04-30 2004-11-03 Character and text unit input correction system
CN1607522A (en) * 2003-10-15 2005-04-20 佳能株式会社 User interface for creation and editing of variable data documents
CN101361064A (en) * 2005-12-16 2009-02-04 Emil有限公司 A text editing apparatus and method
CN103136196A (en) * 2008-04-18 2013-06-05 上海触乐信息科技有限公司 Methods used for inputting text into electronic device and correcting error
CN101403947A (en) * 2008-11-19 2009-04-08 黄庆传 Computer word input method, its keyboard and mouse
CN101763343A (en) * 2008-12-23 2010-06-30 上海晨鸟信息科技有限公司 Document editor principle supporting format comparison and plagiarism check and method
CN103959283A (en) * 2011-10-03 2014-07-30 谷歌公司 Interactive text editing
CN102591850A (en) * 2011-12-28 2012-07-18 方正国际软件有限公司 Method and system for error text statement correction based on conditional statements
CN102789504A (en) * 2012-07-19 2012-11-21 姜赢 Chinese grammar correcting method and system on basis of XLM (Extensible Markup Language) rule
CN103605642A (en) * 2013-11-12 2014-02-26 清华大学 Automatic error correcting method and system for text input
CN103699632A (en) * 2013-12-23 2014-04-02 深圳市开立科技有限公司 UI (user interface) text detection method and device
CN108112270A (en) * 2015-09-18 2018-06-01 微软技术许可有限责任公司 Collaboration communication instrument in document editor is provided
CN105354181A (en) * 2015-09-24 2016-02-24 四川长虹电器股份有限公司 XBRL document checking and error correction positioning method
CN108241612A (en) * 2016-12-27 2018-07-03 北京国双科技有限公司 Punctuation mark treating method and apparatus
CN109213870A (en) * 2017-06-30 2019-01-15 埃森哲环球解决方案有限公司 Document process
CN108762654A (en) * 2018-05-15 2018-11-06 Oppo(重庆)智能科技有限公司 Method, apparatus, terminal and the computer readable storage medium of text editing
CN109408476A (en) * 2018-09-19 2019-03-01 腾讯科技(深圳)有限公司 A kind of file-sharing management method, equipment and storage medium
CN109669589A (en) * 2018-10-17 2019-04-23 天津字节跳动科技有限公司 Document edit method and device
CN109635261A (en) * 2018-11-16 2019-04-16 天津字节跳动科技有限公司 Online document content edition method, device, storage medium and electronic equipment
CN109901968A (en) * 2019-01-31 2019-06-18 阿里巴巴集团控股有限公司 A kind of automation page data method of calibration and device
CN109815243A (en) * 2019-02-18 2019-05-28 北京仁和汇智信息技术有限公司 A kind of structured storage method and apparatus when document interfaceization is modified
CN110188366A (en) * 2019-05-29 2019-08-30 北京字节跳动网络技术有限公司 A kind of information processing method, device and storage medium

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Markus Weninger ; Paul Grünbacher ; Huihui Zhang School of Computer Engineering, Weifang University, China.Tool Support for Restricted Use Case Specification: Findings from a Controlled Experiment.《2018 25th Asia-Pacific Software Engineering Conference (APSEC)》.2019,第21-30页. *
基于Thin Client/Web Server的办公自动化在线网络文档编辑管理系统的研究与实现;韩宇贞;《中国优秀硕士学位论文全文数据库 (信息科技辑)》(第3期);I138-147 *
浅议如何运用数字化技术提高编辑加工效率;杨璠;《科技传播》;第9卷(第13期);第34-35页 *
语法分析与纠错相结合的文档结构重构方法;张真;李宁;田英爱;耿思;许洁;;北京信息科技大学学报(自然科学版)(第02期);29-34 *

Also Published As

Publication number Publication date
CN110633461A (en) 2019-12-31

Similar Documents

Publication Publication Date Title
CN110633461B (en) Document detection processing method, device, electronic equipment and storage medium
US11561887B2 (en) Test script debugging using an automated testing framework and UI rendering tree
US9058105B2 (en) Automated adjustment of input configuration
US9015666B2 (en) Updating product documentation using automated test scripts
EP2577463B1 (en) Static analysis using interactive and integration tools
US10592211B2 (en) Generation of application behaviors
CN109101228B (en) Application program execution method and device
US20210365767A1 (en) Method and device for operator registration processing based on deep learning and electronic device
CN105631393A (en) Information recognition method and device
CN110276039B (en) Page element path generation method and device and electronic equipment
CN110889056B (en) Page marking method and device
US20190163499A1 (en) Simulating human interface interaction resilient to user interface changes
CN112527374A (en) Marking tool generation method, marking method, device, equipment and storage medium
CN105229606A (en) Content-based orientation places application start
CN104375814A (en) Generation method and device of an interface document
CN111783008B (en) Information display method, device, equipment and medium
CN114489625A (en) Method and device for converting JSON format text into visual configuration tool
CN112231214A (en) Page testing method and device, electronic equipment and medium
US9645798B1 (en) Using program code to generate help information, and using help information to generate program code
CN111523292A (en) Method and device for acquiring image information
CN116245052A (en) Drawing migration method, device, equipment and storage medium
CN108197284B (en) Search processing method and device
US20160179316A1 (en) Personalization of a web application
CN112540958B (en) File processing method, device, equipment and computer storage medium
CN111985760B (en) Data content evaluation method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant