CN116933733A - Text input display method, device, equipment and storage medium thereof - Google Patents
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Abstract
The embodiment of the application belongs to the technical field of financial science and technology, and relates to a text input display method, device, equipment and storage medium thereof, which are applied to the process of arranging and inputting personal identity information of a customer under financial business.
Description
Technical Field
The application relates to the technical field of financial science and technology, and is applied to the process of customer personal identity information arrangement and input under financial business, in particular to a text input display method, a text input display device, text input display equipment and a storage medium thereof.
Background
With the development of the internet industry, the traditional financial industry business is gradually changed from off-line to on-line processing, taking insurance business in the financial industry as an example, the previous policy data and the data for secondary policy arrangement are mainly recorded and managed by means of manual mode, and now, with the change of the policy business from off-line to on-line, more and more information input and management need to be performed by combining with a computer.
For insurance business, when personal information of a customer is input and displayed, because the name information often relates to a rare word, the current input and display has some flaw problems, for example, the rare word can be input in the input stage but can not be displayed in the display stage, and most of the problems are that a display end does not support coding of the rare word; there are also input components that do not support the input of rarely used words but only commonly used words, which results in the inability to complete the information entry. Therefore, the prior art also lacks a text input display method capable of inputting the rarely-used words and disregarding the coding defects of the display end, so that the client personal information can be input, the display of the rarely-used words in the name can be ensured, and the management of the client personal information by the financial industry is facilitated.
Disclosure of Invention
The embodiment of the application aims to provide a text input display method, a device, equipment and a storage medium thereof, which are used for solving the problem that the prior art is lack of a text input display method which can be used for inputting rarely-used words and can be used for disregarding coding defects of a display end.
In order to solve the technical problems, the embodiment of the application provides a text input display method, which adopts the following technical scheme:
a text input presentation method comprising the steps of:
receiving a text input instruction;
according to the text input instruction, an analysis result is obtained;
screening a target retrieval component from a preset text input model by identifying the analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component;
if the target retrieval component is a common word retrieval component, acquiring a target common word inquired by the common word retrieval component, and outputting the target common word to a first target position of a preset display interface;
if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment;
And completing text input display until corresponding target texts are displayed at all target positions of the display interface.
Further, the step of receiving a text input instruction specifically includes:
acquiring a text input instruction triggered from a preset input interface in a man-machine interaction mode, wherein the text input instruction comprises category field information of a trigger button, the trigger button comprises two categories, and the category field information corresponding to the trigger button is a common word retrieval trigger button and a rare word retrieval trigger button respectively;
the step of obtaining the analysis result according to the text input instruction specifically comprises the following steps:
analyzing the text input instruction to obtain category field information corresponding to the trigger button;
the step of screening the target retrieval component from a preset text input model by identifying the analysis result specifically comprises the following steps:
if the category field information corresponding to the trigger button is a common word retrieval trigger button, screening the common word retrieval component from the text input model;
and if the category field information corresponding to the trigger button is the rarely used word retrieval trigger button, screening the rarely used word retrieval component from the text input model.
Further, before the step of screening the target retrieval component from the preset text input model by identifying the parsing result is executed, the method further includes:
acquiring a pre-arranged common word information set and a rare word information set;
training the common word retrieval component in the text input model according to the common word information set to obtain a trained common word retrieval component, wherein the common word information set contains characters, pinyin and radicals of all common words, and the characters of the same common word have corresponding relations with the pinyin and radicals respectively;
training the rarely-used word retrieval component in the text input model according to the rarely-used word information set to obtain the rarely-used word retrieval component after training, wherein the rarely-used word information set contains all the characters, pinyin, radicals, stroke numbers, similar common characters and character pictures of the rarely-used word, and the characters of the same rarely-used word have mutual corresponding relations with the pinyin, the radicals, the stroke numbers, the similar common characters and the character pictures.
Further, the step of training the common word retrieving component in the text input model according to the common word information set to obtain a trained common word retrieving component specifically includes:
Step 401, respectively obtaining characters, pinyin and radicals of the same common word through the common word information set;
step 402, constructing a common word knowledge graph according to the mutual correspondence between the characters of the same common word and the pinyin and the radicals of the common word;
step 403, repeatedly executing step 402, and updating the common word knowledge graph until knowledge information of all common words in the common word information set is mapped to the common word knowledge graph, wherein the common word knowledge graph is updated;
and step 404, deploying the updated common word knowledge graph into a preset first retrieval component to obtain a trained common word retrieval component, wherein the preset first retrieval component comprises two associated input items, and the two associated input items are respectively pinyin input items and radical input items.
Further, training the rarely used word retrieval component in the text input model according to the rarely used word information set to obtain a trained rarely used word retrieval component, which specifically comprises the following steps:
step 501, respectively obtaining characters, pinyin, radicals, stroke numbers, similar common characters and character pictures of the same uncommon word through the uncommon word information set;
Step 502, constructing a knowledge graph of the uncommon words according to the mutual correspondence between the characters of the same uncommon word and their pinyin, radicals, stroke numbers, similar common words and character pictures;
step 503, repeatedly executing step 502, and updating the knowledge graph of the uncommon word until the knowledge information of all uncommon words in the uncommon word information set is mapped to the uncommon word knowledge graph, and the uncommon word knowledge graph is updated;
and step 504, deploying the updated rare word knowledge graph into a preset second retrieval component to obtain the trained rare word retrieval component, wherein the preset second retrieval component comprises four associated input items which are respectively pinyin input items, radical input items, stroke number input items and similar common word input items.
Further, before executing the step of obtaining the target common word queried by the common word retrieving component and outputting the target common word to the first target position of the preset display interface, the method further includes:
acquiring query information input through an associated input item of the common word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the common word retrieval component and radicals input through a radical input item of the common word retrieval component;
Searching a first character list according to the pinyin in the query information and the updated common word knowledge graph;
searching a second character list according to radicals in the query information and the updated common word knowledge graph;
acquiring intersection information of the first character list and the second character list, and displaying the intersection information to a character determining party in a selectable list form;
the step of obtaining the target common word queried by the common word retrieving component and outputting the target common word to a first target position of a preset display interface specifically comprises the following steps:
acquiring a common word selected from the intersection information by the character determining party as a target common word inquired by the common word searching component;
and outputting the target common word to a first target position of a preset display interface based on the interface mapping address corresponding to the target common word on the display interface.
Further, before the step of obtaining the rarely-used word picture corresponding to the rarely-used word, which is queried by the rarely-used word retrieving component, and displaying the rarely-used word picture to the second target position of the display interface through scaling adjustment is performed, the method further includes:
Acquiring query information input through an associated input item of the uncommon word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the uncommon word retrieval component, radicals input through a radical input item of the uncommon word retrieval component, the number of strokes input through a stroke number input item of the uncommon word retrieval component, and similar common words input through a similar common word input item of the uncommon word retrieval component;
searching a third character list according to the pinyin in the query information and the updated rare word knowledge graph;
searching a fourth character list according to radicals in the query information and the updated rare word knowledge graph;
searching a fifth character list according to the stroke number in the query information and the updated rare word knowledge graph;
searching a sixth character list according to the similar common characters in the query information and the updated rare character knowledge graph;
acquiring intersection information of the third character list, the fourth character list, the fifth character list and the sixth character list, and displaying the intersection information to a character determining party in a selectable list form;
The step of obtaining the rarely-used word picture corresponding to the target rarely-used word through the rarely-used word retrieval component and displaying the rarely-used word picture to the second target position of the display interface through scaling adjustment specifically comprises the following steps:
acquiring the rarely used word selected by the character determining party from the intersection information as a target rarely used word inquired by the rarely used word searching component;
screening out a character picture corresponding to the target rarely used word according to the updated rarely used word knowledge graph to serve as a rarely used word picture corresponding to the target rarely used word;
scaling adjustment is carried out on the rarely used character picture based on line spacing and width and height information among the existing characters in the display interface, and the rarely used character picture after scaling adjustment is used as a picture to be displayed;
and displaying the picture to be displayed at a second target position of the display interface based on the interface mapping address corresponding to the target rarely-used word on the display interface.
In order to solve the technical problems, the embodiment of the application also provides a text input display device, which adopts the following technical scheme:
a text input presentation device comprising:
The text input instruction receiving module is used for receiving a text input instruction;
the text input instruction analysis module is used for acquiring an analysis result according to the text input instruction;
the target retrieval component screening module is used for screening target retrieval components from a preset text input model by identifying the analysis result, wherein the preset text input model comprises a common word retrieval component and a uncommon word retrieval component;
the target common word output module is used for acquiring the target common word inquired by the common word searching assembly and outputting the target common word to a first target position of a preset display interface if the target searching assembly is the common word searching assembly;
the target rarely-used word display module is used for acquiring rarely-used word pictures corresponding to the target rarely-used words through the rarely-used word retrieval module if the target retrieval module is the rarely-used word retrieval module, and displaying the rarely-used word pictures to a second target position of the display interface through scaling adjustment;
and the text input display completion module is used for completing the text input display until the corresponding target text is displayed at all target positions of the display interface.
In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:
a computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the text input presentation method described above.
In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:
a computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of a text input presentation method as described above.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
according to the text input display method, the text input instruction is received and analyzed; obtaining an analysis result; screening a target retrieval component from a preset text input model by identifying an analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component; if the target retrieval component is a common word retrieval component, acquiring a target common word inquired through the common word retrieval component, and outputting the target common word to a first target position of a preset display interface; if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment; until the corresponding target text is displayed at all target positions of the display interface, the text input display is completed. In the text input stage, the application provides the retrieval assembly for respectively inputting the common words and the uncommon words through the text input model, and then, in the text display stage, a direct output mode is adopted for displaying the common words, and a picture mode is adopted for displaying the uncommon words, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the entry of customer personal information can be completed, the display of the uncommon words in the names can be ensured, and the management of the customer personal information by the financial industry is facilitated.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a text input presentation method according to the present application;
FIG. 3 is a flow chart of one particular embodiment of training the text input model in a text input presentation method according to an embodiment of the present application;
FIG. 4 is a flow chart of one embodiment of step 302 shown in FIG. 3;
FIG. 5 is a flow chart of one embodiment of step 303 shown in FIG. 3;
FIG. 6 is a schematic diagram illustrating the construction of one embodiment of a text input presentation device in accordance with the present application;
FIG. 7 is a schematic diagram of an embodiment of a computer device in accordance with the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture ExpertsGroup Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving PictureExperts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
It should be noted that, the text input display method provided by the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the text input display device is generally disposed in the server/terminal device.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow chart of one embodiment of a text input presentation method according to the present application is shown. The text input display method comprises the following steps:
In step 201, a text input instruction is received.
In this embodiment, the step of receiving a text input instruction specifically includes: acquiring a text input instruction triggered from a preset input interface in a man-machine interaction mode,
the text input instruction comprises category field information of a trigger button, the trigger button comprises two categories, and the category field information corresponding to the trigger button is a common word retrieval trigger button and a rare word retrieval trigger button respectively. The common words refer to Chinese characters in the basic set of the Chinese character coding character set for information exchange of national standard GB2312-80, and the uncommon words refer to Chinese characters outside the basic set of the Chinese character coding character set for information exchange of national standard GB 2312-80.
Specifically, two click trigger buttons are preset in the preset input interface, wherein the function corresponding to one trigger button is a common word retrieval function, and the function corresponding to the other trigger button is a remote word retrieval function. Through setting up the usual word retrieval trigger button and the uncommon word retrieval trigger button respectively for financial industry staff when carrying out input show to customer personal information, can be when meeting and contain the uncommon word in the customer name, freely select usual word input or uncommon word input, more convenient and nimble the selection is used.
Step 202, according to the text input instruction, obtaining an analysis result.
In this embodiment, the step of obtaining the analysis result according to the text input instruction specifically includes: analyzing the text input instruction and acquiring category field information corresponding to the trigger button.
And 203, screening out target retrieval components from a preset text input model by identifying the analysis result, wherein the preset text input model comprises a common word retrieval component and a uncommon word retrieval component.
In this embodiment, the step of screening the target retrieval component from the preset text input model by identifying the parsing result specifically includes: if the category field information corresponding to the trigger button is a common word retrieval trigger button, screening the common word retrieval component from the text input model; and if the category field information corresponding to the trigger button is the rarely used word retrieval trigger button, screening the rarely used word retrieval component from the text input model.
With continued reference to fig. 3, fig. 3 is a flowchart of a specific embodiment of training the text input model in the text input presentation method according to an embodiment of the present application, including:
Step 301, obtaining a pre-arranged common word information set and a rare word information set;
step 302, training a common word retrieval component in the text input model according to the common word information set to obtain a trained common word retrieval component, wherein the common word information set contains characters, pinyin and radicals of all common words, and the characters of the same common word have corresponding relations with the pinyin and radicals respectively;
specifically, for example, the common word "river" is used, its character is "river", its pinyin is "jiang", its radical is "san", at this time, there is a mutual correspondence between the character "river" and the pinyin "jiang", and there is a mutual correspondence between the character "river" and the radical is "san", where there is no limitation on the mutual correspondence between the pinyin "jiang" and the radical "and".
With continued reference to FIG. 4, FIG. 4 is a flow chart of one embodiment of step 302 shown in FIG. 3, including:
step 401, respectively obtaining characters, pinyin and radicals of the same common word through the common word information set;
step 402, constructing a common word knowledge graph according to the mutual correspondence between the characters of the same common word and the pinyin and the radicals of the common word;
Step 403, repeatedly executing step 402, and updating the common word knowledge graph until knowledge information of all common words in the common word information set is mapped to the common word knowledge graph, wherein the common word knowledge graph is updated;
and step 404, deploying the updated common word knowledge graph into a preset first retrieval component to obtain a trained common word retrieval component, wherein the preset first retrieval component comprises two associated input items, and the two associated input items are respectively pinyin input items and radical input items.
Through the two associated input items, the common words can be screened for the first time through the pinyin input item and the radical input item respectively, then the common words are screened for the second time through the mode of acquiring intersection information, and after the personal information input of the clients is carried out on staff in the financial industry, the optional common words of the target can be further provided and reduced for the operator.
And step 303, training the rarely-used word retrieval component in the text input model according to the rarely-used word information set to obtain the rarely-used word retrieval component after training, wherein the rarely-used word information set contains all characters, pinyin, radicals, stroke numbers, similar common words and character pictures of the rarely-used word, and the characters of the same rarely-used word have mutual corresponding relations with the pinyin, the radicals, the stroke numbers, the similar common words and the character pictures.
Similarly, the characters of the same uncommon word have a corresponding relationship with their pinyin, radicals, stroke numbers, similar common words and character pictures, and only indicate that the characters have a corresponding relationship with the pinyin, radicals, stroke numbers, similar common words and character pictures, and the relationship between the pinyin, radicals, stroke numbers, similar common words and character pictures is not limited.
With continued reference to fig. 5, fig. 5 is a flow chart of one embodiment of step 303 shown in fig. 3, comprising:
step 501, respectively obtaining characters, pinyin, radicals, stroke numbers, similar common characters and character pictures of the same uncommon word through the uncommon word information set;
step 502, constructing a knowledge graph of the uncommon words according to the mutual correspondence between the characters of the same uncommon word and their pinyin, radicals, stroke numbers, similar common words and character pictures;
step 503, repeatedly executing step 502, and updating the knowledge graph of the uncommon word until the knowledge information of all uncommon words in the uncommon word information set is mapped to the uncommon word knowledge graph, and the uncommon word knowledge graph is updated;
and step 504, deploying the updated rare word knowledge graph into a preset second retrieval component to obtain the trained rare word retrieval component, wherein the preset second retrieval component comprises four associated input items which are respectively pinyin input items, radical input items, stroke number input items and similar common word input items.
Similarly, through the four associated input items, the rarely-used words can be screened for the first time through the pinyin input item, the radical input item, the stroke number input item and the similar common word input items, then the rarely-used words are screened for the second time through the intersection information acquisition mode, and after the personal information input of clients is carried out on staff in the financial industry, the target selectable rarely-used words are further provided and reduced for the staff.
Step 204, if the target search component is a common word search component, obtaining a target common word queried by the common word search component, and outputting the target common word to a first target position of a preset display interface.
In this embodiment, before executing the step of obtaining the target common word queried by the common word retrieving component and outputting the target common word to the first target location of the preset display interface, the method further includes: acquiring query information input through an associated input item of the common word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the common word retrieval component and radicals input through a radical input item of the common word retrieval component; searching a first character list according to the pinyin in the query information and the updated common word knowledge graph; searching a second character list according to radicals in the query information and the updated common word knowledge graph; acquiring intersection information of the first character list and the second character list, and displaying the intersection information to a character determining party in a selectable list form;
In this embodiment, the step of obtaining the target common word queried by the common word retrieving component and outputting the target common word to the first target position of the preset display interface specifically includes: acquiring a common word selected from the intersection information by the character determining party as a target common word inquired by the common word searching component; and outputting the target common word to a first target position of a preset display interface based on the interface mapping address corresponding to the target common word on the display interface.
And the interface mapping address corresponding to the target common word on the display interface represents a first target position of the preset display interface, namely the interface mapping address corresponding to the target common word on the display interface and the first target position have a mutual corresponding relation.
Because the screening of the common words is realized, the common words in Chinese can be displayed by considering that almost all display ends, so that the common words are directly output to the first target position of the preset display interface, and the common words are displayed conveniently and rapidly.
Step 205, if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment.
In this embodiment, before the step of obtaining the rarely-used word picture corresponding to the rarely-used word queried by the rarely-used word retrieving component and displaying the rarely-used word picture to the second target position of the display interface through scaling adjustment is performed, the method further includes: acquiring query information input through an associated input item of the uncommon word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the uncommon word retrieval component, radicals input through a radical input item of the uncommon word retrieval component, the number of strokes input through a stroke number input item of the uncommon word retrieval component, and similar common words input through a similar common word input item of the uncommon word retrieval component; searching a third character list according to the pinyin in the query information and the updated rare word knowledge graph; searching a fourth character list according to radicals in the query information and the updated rare word knowledge graph; searching a fifth character list according to the stroke number in the query information and the updated rare word knowledge graph; searching a sixth character list according to the similar common characters in the query information and the updated rare character knowledge graph; acquiring intersection information of the third character list, the fourth character list, the fifth character list and the sixth character list, and displaying the intersection information to a character determining party in a selectable list mode.
In this embodiment, the step of obtaining the rarely-used word picture corresponding to the rarely-used word and querying the target rarely-used word through the rarely-used word retrieving component, and displaying the rarely-used word picture to the second target position of the display interface through scaling adjustment specifically includes: acquiring the rarely used word selected by the character determining party from the intersection information as a target rarely used word inquired by the rarely used word searching component; screening out a character picture corresponding to the target rarely used word according to the updated rarely used word knowledge graph to serve as a rarely used word picture corresponding to the target rarely used word; scaling adjustment is carried out on the rarely used character picture based on line spacing and width and height information among the existing characters in the display interface, and the rarely used character picture after scaling adjustment is used as a picture to be displayed; and displaying the picture to be displayed at a second target position of the display interface based on the interface mapping address corresponding to the target rarely-used word on the display interface.
The interface mapping address corresponding to the target rarely-used word on the display interface represents a second target position of the display interface, namely, the interface mapping address corresponding to the target rarely-used word on the display interface and the second target position have a mutual corresponding relation.
Because the display end can not encode the rarely used words, in order to prevent the situation that the personal information of the client is not displayed because the rarely used words can not be encoded, the pictures of the target rarely used words are adopted for displaying, the pictures are used for displaying instead of the characters, and the defect that the display end can not encode is not needed to be considered.
And 206, completing text input display until corresponding target texts are displayed at all target positions of the display interface.
In the text input stage, the application provides the retrieval component for inputting the common words through the text input model, also provides the retrieval component for inputting the rare words, and then, in the text display stage, the common words are displayed in a direct output mode, and the rare words are displayed in a mode of corresponding pictures of the common words, so that the difference between the common words and the rare words is fully considered, the defect that the display end cannot encode the rare words is avoided, the personal information of a client can be recorded, the display of the rare words in the names can be ensured, and the management of the personal information of the client by the financial industry is facilitated.
Receiving and analyzing a text input instruction; obtaining an analysis result; screening a target retrieval component from a preset text input model by identifying an analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component; if the target retrieval component is a common word retrieval component, acquiring a target common word inquired through the common word retrieval component, and outputting the target common word to a first target position of a preset display interface; if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment; until the corresponding target text is displayed at all target positions of the display interface, the text input display is completed. In the text input stage, the application provides the retrieval assembly for respectively inputting the common words and the uncommon words through the text input model, and then, in the text display stage, a direct output mode is adopted for displaying the common words, and a picture mode is adopted for displaying the uncommon words, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the entry of customer personal information can be completed, the display of the uncommon words in the names can be ensured, and the management of the customer personal information by the financial industry is facilitated.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
In the embodiment of the application, in the text input stage, the retrieval assembly for respectively inputting the common words and the uncommon words is provided through the text input model, then in the text display stage, the common words are displayed in a direct output mode, and the uncommon words are displayed in a picture mode, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the customer personal information can be recorded, the uncommon words in the names can be displayed, and the management of the customer personal information by the financial industry is facilitated.
With further reference to fig. 6, as an implementation of the method shown in fig. 2 described above, the present application provides an embodiment of a text input presentation device, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 6, the text input presentation device 600 according to the present embodiment includes: a software service text input instruction receiving module 601, a text input instruction parsing module 602, a target retrieval component screening module 603, a target common word output module 604, a target rarely used word presentation module 605 and a text input presentation completion module 606. Wherein:
a text input instruction receiving module 601, configured to receive a text input instruction;
a text input instruction parsing module 602, configured to obtain a parsing result according to the text input instruction;
the target retrieval component screening module 603 is configured to screen a target retrieval component from a preset text input model by identifying the parsing result, where the preset text input model includes a common word retrieval component and a uncommon word retrieval component;
the target common word output module 604 is configured to obtain a target common word queried by the common word retrieving component if the target retrieving component is a common word retrieving component, and output the target common word to a first target position on a preset display interface;
The target rarely-used word display module 605 is configured to, if the target retrieval component is a rarely-used word retrieval component, obtain a rarely-used word picture corresponding to a target rarely-used word, and display the rarely-used word picture to a second target position of the display interface through scaling adjustment;
the text input presentation completion module 606 is configured to complete the text input presentation until the corresponding target text is presented at all target positions of the display interface.
In some embodiments of the present application, the text input presentation device 600 further includes: the text input model training module is used for acquiring a common word information set and a rare word information set which are arranged in advance, training a common word retrieval component in the text input model according to the common word information set, acquiring a trained common word retrieval component, and training the rare word retrieval component in the text input model according to the rare word information set to acquire the trained rare word retrieval component.
In some embodiments of the present application, the text input presentation device 600 further includes: the common word association search module is used for acquiring query information input through an association input item of the common word search component, wherein the query information comprises pinyin input through a pinyin input item of the common word search component and radicals input through a radical input item of the common word search component, searching a first character list according to the pinyin in the query information and the updated common word knowledge graph, searching a second character list according to the radicals in the query information and the updated common word knowledge graph, acquiring intersection information of the first character list and the second character list, and displaying the intersection information to a character determining party in a selectable list mode.
In some embodiments of the present application, the text input presentation device 600 further includes: the rarely-used word association search module is used for acquiring query information input through association input items of the rarely-used word search assembly, wherein the query information comprises pinyin input through pinyin input items of the rarely-used word search assembly, radicals input through radical input items of the rarely-used word search assembly, stroke numbers input through stroke number input items of the rarely-used word search assembly and similar commonly-used words input through similar commonly-used word input items of the rarely-used word search assembly, retrieving a third character list according to the pinyin in the query information and the updated frequently-used word knowledge graph, retrieving a fourth character list according to radicals in the query information and the updated commonly-used word knowledge graph, retrieving a fifth character list according to the stroke numbers in the query information and the updated commonly-used word knowledge graph, further obtaining the fifth character list according to the similar commonly-used words in the query information and the updated commonly-used word knowledge graph, further determining the fifth character list according to the updated commonly-used words in the query information, and the commonly-used character list, and displaying the fifth character list according to the updated commonly-used word knowledge graph.
Receiving and analyzing a text input instruction; obtaining an analysis result; screening a target retrieval component from a preset text input model by identifying an analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component; if the target retrieval component is a common word retrieval component, acquiring a target common word inquired through the common word retrieval component, and outputting the target common word to a first target position of a preset display interface; if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment; until the corresponding target text is displayed at all target positions of the display interface, the text input display is completed. In the text input stage, the application provides the retrieval assembly for respectively inputting the common words and the uncommon words through the text input model, and then, in the text display stage, a direct output mode is adopted for displaying the common words, and a picture mode is adopted for displaying the uncommon words, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the entry of customer personal information can be completed, the display of the uncommon words in the names can be ensured, and the management of the customer personal information by the financial industry is facilitated.
Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by computer readable instructions, stored on a computer readable storage medium, that the program when executed may comprise the steps of embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 7, fig. 7 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 7 comprises a memory 7a, a processor 7b, a network interface 7c communicatively connected to each other via a system bus. It should be noted that only a computer device 7 having components 7a-7c is shown in the figures, but it should be understood that not all of the illustrated components need be implemented, and that more or fewer components may alternatively be implemented. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 7a includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 7a may be an internal storage unit of the computer device 7, such as a hard disk or a memory of the computer device 7. In other embodiments, the memory 7a may also be an external storage device of the computer device 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 7. Of course, the memory 7a may also comprise both an internal memory unit of the computer device 7 and an external memory device. In this embodiment, the memory 7a is typically used for storing an operating system and various application software installed on the computer device 7, such as computer readable instructions of a text input presentation method. Further, the memory 7a may be used to temporarily store various types of data that have been output or are to be output.
The processor 7b may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 7b is typically used to control the overall operation of the computer device 7. In this embodiment, the processor 7b is configured to execute computer readable instructions stored in the memory 7a or process data, such as computer readable instructions for executing the text input presentation method.
The network interface 7c may comprise a wireless network interface or a wired network interface, which network interface 7c is typically used for establishing a communication connection between the computer device 7 and other electronic devices.
The computer equipment provided by the embodiment belongs to the technical field of financial science and technology, and is applied to the process of customer personal identity information arrangement and input under financial business. Receiving and analyzing a text input instruction; obtaining an analysis result; screening a target retrieval component from a preset text input model by identifying an analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component; if the target retrieval component is a common word retrieval component, acquiring a target common word inquired through the common word retrieval component, and outputting the target common word to a first target position of a preset display interface; if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment; until the corresponding target text is displayed at all target positions of the display interface, the text input display is completed. In the text input stage, the application provides the retrieval assembly for respectively inputting the common words and the uncommon words through the text input model, and then, in the text display stage, a direct output mode is adopted for displaying the common words, and a picture mode is adopted for displaying the uncommon words, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the entry of customer personal information can be completed, the display of the uncommon words in the names can be ensured, and the management of the customer personal information by the financial industry is facilitated.
The present application also provides another embodiment, namely, a computer readable storage medium storing computer readable instructions executable by a processor to cause the processor to perform the steps of the text input presentation method as described above.
The computer readable storage medium provided by the embodiment belongs to the technical field of financial science and technology, and is applied to the process of customer personal identity information arrangement and input under financial business. Receiving and analyzing a text input instruction; obtaining an analysis result; screening a target retrieval component from a preset text input model by identifying an analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component; if the target retrieval component is a common word retrieval component, acquiring a target common word inquired through the common word retrieval component, and outputting the target common word to a first target position of a preset display interface; if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment; until the corresponding target text is displayed at all target positions of the display interface, the text input display is completed. In the text input stage, the application provides the retrieval assembly for respectively inputting the common words and the uncommon words through the text input model, and then, in the text display stage, a direct output mode is adopted for displaying the common words, and a picture mode is adopted for displaying the uncommon words, so that the difference between the common words and the uncommon words is fully considered, the defect that the uncommon words cannot be encoded by a display end is avoided, the entry of customer personal information can be completed, the display of the uncommon words in the names can be ensured, and the management of the customer personal information by the financial industry is facilitated.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (10)
1. A text input presentation method, comprising the steps of:
receiving a text input instruction;
according to the text input instruction, an analysis result is obtained;
screening a target retrieval component from a preset text input model by identifying the analysis result, wherein the preset text input model comprises a common word retrieval component and a rare word retrieval component;
if the target retrieval component is a common word retrieval component, acquiring a target common word inquired by the common word retrieval component, and outputting the target common word to a first target position of a preset display interface;
if the target retrieval component is a rarely-used word retrieval component, acquiring a rarely-used word picture corresponding to the target rarely-used word, which is queried by the rarely-used word retrieval component, and displaying the rarely-used word picture to a second target position of the display interface through scaling adjustment;
and completing text input display until corresponding target texts are displayed at all target positions of the display interface.
2. The text input presentation method of claim 1, wherein the step of receiving text input instructions comprises:
Acquiring a text input instruction triggered from a preset input interface in a man-machine interaction mode, wherein the text input instruction comprises category field information of a trigger button, the trigger button comprises two categories, and the category field information corresponding to the trigger button is a common word retrieval trigger button and a rare word retrieval trigger button respectively;
the step of obtaining the analysis result according to the text input instruction specifically comprises the following steps:
analyzing the text input instruction to obtain category field information corresponding to the trigger button;
the step of screening the target retrieval component from a preset text input model by identifying the analysis result specifically comprises the following steps:
if the category field information corresponding to the trigger button is a common word retrieval trigger button, screening the common word retrieval component from the text input model;
and if the category field information corresponding to the trigger button is the rarely used word retrieval trigger button, screening the rarely used word retrieval component from the text input model.
3. The text input presentation method according to claim 1 or 2, wherein before the step of screening out the target retrieval component from a preset text input model by recognizing the parsing result is performed, the method further comprises:
Acquiring a pre-arranged common word information set and a rare word information set;
training the common word retrieval component in the text input model according to the common word information set to obtain a trained common word retrieval component, wherein the common word information set contains characters, pinyin and radicals of all common words, and the characters of the same common word have corresponding relations with the pinyin and radicals respectively;
training the rarely-used word retrieval component in the text input model according to the rarely-used word information set to obtain the rarely-used word retrieval component after training, wherein the rarely-used word information set contains all the characters, pinyin, radicals, stroke numbers, similar common characters and character pictures of the rarely-used word, and the characters of the same rarely-used word have mutual corresponding relations with the pinyin, the radicals, the stroke numbers, the similar common characters and the character pictures.
4. A method for displaying text input according to claim 3, wherein the step of training the common word retrieving component in the text input model according to the common word information set to obtain the trained common word retrieving component specifically comprises the following steps:
Step 401, respectively obtaining characters, pinyin and radicals of the same common word through the common word information set;
step 402, constructing a common word knowledge graph according to the mutual correspondence between the characters of the same common word and the pinyin and the radicals of the common word;
step 403, repeatedly executing step 402, and updating the common word knowledge graph until knowledge information of all common words in the common word information set is mapped to the common word knowledge graph, wherein the common word knowledge graph is updated;
and step 404, deploying the updated common word knowledge graph into a preset first retrieval component to obtain a trained common word retrieval component, wherein the preset first retrieval component comprises two associated input items, and the two associated input items are respectively pinyin input items and radical input items.
5. The text input display method according to claim 3, wherein the training the rarely used word retrieval component in the text input model according to the rarely used word information set, and the step of obtaining the rarely used word retrieval component after training specifically comprises the following steps:
step 501, respectively obtaining characters, pinyin, radicals, stroke numbers, similar common characters and character pictures of the same uncommon word through the uncommon word information set;
Step 502, constructing a knowledge graph of the uncommon words according to the mutual correspondence between the characters of the same uncommon word and their pinyin, radicals, stroke numbers, similar common words and character pictures;
step 503, repeatedly executing step 502, and updating the knowledge graph of the uncommon word until the knowledge information of all uncommon words in the uncommon word information set is mapped to the uncommon word knowledge graph, and the uncommon word knowledge graph is updated;
and step 504, deploying the updated rare word knowledge graph into a preset second retrieval component to obtain the trained rare word retrieval component, wherein the preset second retrieval component comprises four associated input items which are respectively pinyin input items, radical input items, stroke number input items and similar common word input items.
6. The text input presentation method of claim 4, wherein prior to performing the step of obtaining the target common word queried by the common word retrieval component and outputting the target common word to a first target location of a preset display interface, the method further comprises:
acquiring query information input through an associated input item of the common word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the common word retrieval component and radicals input through a radical input item of the common word retrieval component;
Searching a first character list according to the pinyin in the query information and the updated common word knowledge graph;
searching a second character list according to radicals in the query information and the updated common word knowledge graph;
acquiring intersection information of the first character list and the second character list, and displaying the intersection information to a character determining party in a selectable list form;
the step of obtaining the target common word queried by the common word retrieving component and outputting the target common word to a first target position of a preset display interface specifically comprises the following steps:
acquiring a common word selected from the intersection information by the character determining party as a target common word inquired by the common word searching component;
and outputting the target common word to a first target position of a preset display interface based on the interface mapping address corresponding to the target common word on the display interface.
7. The text-entry presentation method of claim 5, wherein prior to performing the step of obtaining the rarely-word picture corresponding to the target rarely-word queried by the rarely-word retrieval component, presenting the rarely-word picture to the second target location of the display interface via scaling, the method further comprises:
Acquiring query information input through an associated input item of the uncommon word retrieval component, wherein the query information comprises pinyin input through a pinyin input item of the uncommon word retrieval component, radicals input through a radical input item of the uncommon word retrieval component, the number of strokes input through a stroke number input item of the uncommon word retrieval component, and similar common words input through a similar common word input item of the uncommon word retrieval component;
searching a third character list according to the pinyin in the query information and the updated rare word knowledge graph;
searching a fourth character list according to radicals in the query information and the updated rare word knowledge graph;
searching a fifth character list according to the stroke number in the query information and the updated rare word knowledge graph;
searching a sixth character list according to the similar common characters in the query information and the updated rare character knowledge graph;
acquiring intersection information of the third character list, the fourth character list, the fifth character list and the sixth character list, and displaying the intersection information to a character determining party in a selectable list form;
The step of obtaining the rarely-used word picture corresponding to the target rarely-used word through the rarely-used word retrieval component and displaying the rarely-used word picture to the second target position of the display interface through scaling adjustment specifically comprises the following steps:
acquiring the rarely used word selected by the character determining party from the intersection information as a target rarely used word inquired by the rarely used word searching component;
screening out a character picture corresponding to the target rarely used word according to the updated rarely used word knowledge graph to serve as a rarely used word picture corresponding to the target rarely used word;
scaling adjustment is carried out on the rarely used character picture based on line spacing and width and height information among the existing characters in the display interface, and the rarely used character picture after scaling adjustment is used as a picture to be displayed;
and displaying the picture to be displayed at a second target position of the display interface based on the interface mapping address corresponding to the target rarely-used word on the display interface.
8. A text input presentation device, comprising:
the text input instruction receiving module is used for receiving a text input instruction;
the text input instruction analysis module is used for acquiring an analysis result according to the text input instruction;
The target retrieval component screening module is used for screening target retrieval components from a preset text input model by identifying the analysis result, wherein the preset text input model comprises a common word retrieval component and a uncommon word retrieval component;
the target common word output module is used for acquiring the target common word inquired by the common word searching assembly and outputting the target common word to a first target position of a preset display interface if the target searching assembly is the common word searching assembly;
the target rarely-used word display module is used for acquiring rarely-used word pictures corresponding to the target rarely-used words through the rarely-used word retrieval module if the target retrieval module is the rarely-used word retrieval module, and displaying the rarely-used word pictures to a second target position of the display interface through scaling adjustment;
and the text input display completion module is used for completing the text input display until the corresponding target text is displayed at all target positions of the display interface.
9. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the text input presentation method of any of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the text input presentation method of any of claims 1 to 7.
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