A display method and related equipment

Abstract

The present application discloses a display method and related equipment, which comprises: after obtaining a target semantic unit input by a user, firstly performing a parsing process on the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of at least one candidate parsing dimension, so that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit; then determining the parsing data to be displayed according to these parsing results and a pre-constructed simulated character, so that the parsing data to be displayed can represent the learning knowledge points related to the target semantic unit; finally, displaying the parsing data to be displayed to the user, so that the user can learn the learning knowledge points related to the target semantic unit from the parsing data to be displayed, so that an autonomous learning process for the target semantic unit can be realized, thereby effectively avoiding the defects of the teacher's on-site teaching, and further facilitating improving the language learning effect of the user.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a display method and related equipment. Background Art

[0002] Semantic units (e.g., characters and words) are the basis for introductory language learning. When learning language subjects, beginners usually need to memorize a large number of semantic units.

[0003] At present, semantic unit teaching relies on on-site direct teaching by language teachers. This teaching method can comprehensively explain the relevant content of semantic units (for example, pronunciation, writing, interpretation, etc.) to students, which is conducive to students' rapid learning.

[0004] However, due to defects in the teacher's on-site teaching, it is easy to lead to poor results in students' semantic unit learning, which in turn can affect students' language learning effects. Summary of the invention

[0005] The main purpose of the embodiments of the present application is to provide a display method and related equipment, which can improve the user's semantic unit learning effect, thereby improving the user's language learning effect.

[0006] The present application provides a display method, which includes:

[0007] Get the target semantic unit input by the user;

[0008] Parsing the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension;

[0009] Determining the parsed data to be displayed according to the parsing result of the at least one candidate parsing dimension and the mimicked character;

[0010] The parsed data to be displayed is displayed to the user.

[0011] In a possible implementation, the parsing result of the at least one candidate parsing dimension includes at least one of pronunciation description data, interpretation description data, application example description data, source description data, and associated semantic unit description data.

[0012] In a possible implementation, determining the to-be-displayed parsed data according to the parsing result of the at least one candidate parsing dimension and the mimicked character includes:

[0013] Determining, according to the parsing result of the at least one candidate parsing dimension, at least one text data to be displayed and audio data corresponding to the at least one text data to be displayed;

[0014] The parsed data to be displayed is determined according to at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and a simulated character.

[0015] In a possible implementation manner, the number of candidate parsing dimensions is 1;

[0016] The process of determining the at least one text data to be displayed includes:

[0017] Determine, according to the parsing result of the i-th candidate parsing dimension, at least one parsing description text corresponding to the i-th candidate parsing dimension; wherein i is a positive integer, i≤I, and I is a positive integer;

[0018] Determine the at least one text data to be displayed according to at least one parsed description text corresponding to I candidate parsing dimensions.

[0019] In a possible implementation manner, the parsing result of the i-th candidate parsing dimension includes J parsing contents;

[0020] The step of determining at least one parsing description text corresponding to the i-th candidate parsing dimension according to the parsing result of the i-th candidate parsing dimension comprises:

[0021] The j-th parsed content in the parsing result of the i-th candidate parsing dimension is determined as the j-th parsing description text corresponding to the i-th candidate parsing dimension; wherein j is a positive integer, j≤J.

[0022] In a possible implementation, the process of determining the audio data corresponding to the at least one text data to be displayed includes:

[0023] Determine the voice broadcast text corresponding to each text data to be displayed;

[0024] The voice broadcast text corresponding to each text data to be displayed is subjected to audio conversion processing to obtain audio data corresponding to each text data to be displayed.

[0025] In a possible implementation, determining the parsed data to be displayed according to at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and a simulated character includes:

[0026] Determine at least one page to be displayed and a display order of the at least one page to be displayed according to at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and a simulated character;

[0027] The displaying the to-be-displayed parsed data to the user comprises:

[0028] The at least one page to be displayed is displayed to the user according to the display order of the at least one page to be displayed.

[0029] In a possible implementation manner, the number of text data to be displayed is N; wherein N is a positive integer;

[0030] The process of determining the at least one page to be displayed includes:

[0031] Combine the nth text data to be displayed and the audio data corresponding to the nth text data to be displayed to obtain the nth multimedia data to be displayed; wherein n is a positive integer, n≤N;

[0032] According to a preset information combination rule, N multimedia data to be displayed are combined and processed to obtain at least one multimedia combination;

[0033] According to the at least one multimedia combination and the simulated character, the at least one page to be displayed is determined.

[0034] In a possible implementation manner, the number of the multimedia combinations is M;

[0035] The step of determining the at least one page to be displayed according to the at least one multimedia combination and the mimicking character includes:

[0036] According to the mth multimedia combination and the simulated character, the mth page to be displayed is determined so that the mth page to be displayed is used to display the mth multimedia combination and the simulated character; wherein m is a positive integer, m≤M, and M is a positive integer.

[0037] In a possible implementation, determining the mth page to be displayed according to the mth multimedia combination and the mimicking character includes:

[0038] According to a preset first page deployment rule, page deployment processing is performed on the m-th multimedia combination and the mimicking character to obtain the m-th page to be displayed.

[0039] In a possible implementation, determining the mth page to be displayed according to the mth multimedia combination and the mimicking character includes:

[0040] The mth page to be displayed is determined according to the target semantic unit, the mth multimedia combination, and the mimicked character.

[0041] In a possible implementation, determining the mth page to be displayed according to the target semantic unit, the mth multimedia combination, and the mimicking character includes:

[0042] According to a preset second page deployment rule, page deployment processing is performed on the target semantic unit, the m-th multimedia combination, and the mimetic character to obtain the m-th page to be displayed.

[0043] The present application also provides a display device, including:

[0044] An object acquisition module is used to acquire a target semantic unit input by a user;

[0045] A parsing processing module, used to parse the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension;

[0046] A data determination module, configured to determine the parsed data to be displayed according to the parsing result of the at least one candidate parsing dimension and the mimicked character;

[0047] A data display module is used to display the analyzed data to be displayed to the user.

[0048] The embodiment of the present application further provides a device, the device comprising: a processor, a memory, and a system bus;

[0049] The processor and the memory are connected via the system bus;

[0050] The memory is used to store one or more programs, and the one or more programs include instructions, which, when executed by the processor, enable the processor to execute any implementation of the display method provided in the embodiments of the present application.

[0051] The embodiment of the present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal device, the terminal device executes any implementation of the display method provided in the embodiment of the present application.

[0052] The embodiment of the present application also provides a computer program product. When the computer program product is run on a terminal device, the terminal device executes any implementation of the display method provided in the embodiment of the present application.

[0053] Based on the above technical solution, this application has the following beneficial effects:

[0054] In the technical solution provided by the present application, after obtaining the target semantic unit (for example, a character or a word, etc.) input by the user, the target semantic unit is first parsed from at least one candidate parsing dimension to obtain the parsing results of the at least one candidate parsing dimension, so that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit (for example, pinyin, interpretation, application examples, origin, synonyms, antonyms, etc.); then, based on these parsing results and the pre-constructed simulated characters, the parsing data to be displayed is determined, so that the parsing data to be displayed can represent the learning knowledge points related to the target semantic unit; finally, the parsing data to be displayed is displayed to the user, so that the user can learn the learning knowledge points related to the target semantic unit from the parsing data to be displayed, so that the autonomous learning process for the target semantic unit can be realized, thereby effectively avoiding the defects of the teacher's on-site teaching, and then improving the user's semantic unit learning effect, which is conducive to improving the user's language learning effect.

[0055] In addition, because the above-mentioned "parsed data to be displayed" can simulate the teacher's explanation process for the target semantic unit (for example, text explanation + voice explanation), the "parsed data to be displayed" can more vividly express the learning knowledge points related to the target semantic unit, so that after the "parsed data to be displayed" is displayed to the user, the user can better learn the learning knowledge points related to the target semantic unit, which is conducive to improving the user's semantic unit learning effect, thereby helping to improve the user's language learning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0057] Figure 1 A flowchart of a display method provided in an embodiment of the present application;

[0058] Figure 2 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0059] Figure 3 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0060] Figure 4 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0061] Figure 5 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0062] Figure 6 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0063] Figure 7 A schematic diagram of a knowledge point display page related to "generosity" provided in an embodiment of the present application;

[0064] Figure 8 A schematic diagram of a knowledge point display page related to "row" provided in an embodiment of the present application;

[0065] Fig. 9 A schematic diagram of a knowledge point display page related to "row" provided in an embodiment of the present application;

[0066] Fig.10 A schematic diagram of a knowledge point display page related to "row" provided in an embodiment of the present application;

[0067] Fig.11 A schematic diagram of a knowledge point display page related to "row" provided in an embodiment of the present application;

[0068] Fig.12 A schematic diagram of a knowledge point display page related to "row" provided in an embodiment of the present application;

[0069] Fig.13 A schematic diagram of the structure of a display device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0070] The inventor found in the research on the above-mentioned "on-site teaching by teachers" that the language teacher is limited by the teaching time, so that the language teacher cannot conduct on-site teaching for students in real time. In addition, when students conduct independent learning for a certain semantic unit (for example, a character or a word, etc.) after class, they need to spend too much time to query the knowledge points of the semantic unit, which may easily lead to the students giving up independent learning due to lack of patience, which is not conducive to the students' language learning process (especially the learning process for semantic units), resulting in poor language learning effect for students.

[0071] Based on the above findings, in order to solve the technical problems shown in the background technology part, the embodiment of the present application also provides a display method, which may specifically include: after obtaining the target semantic unit (for example, a character, a word, etc.) input by the user, first parse the target semantic unit from at least one candidate parsing dimension to obtain the parsing result of the at least one candidate parsing dimension, so that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit (for example, pinyin, interpretation, application examples, source, synonyms, antonyms, etc.); then, based on these parsing results and the pre-constructed simulated characters, determine the parsing data to be displayed, so that the parsing data to be displayed can represent the learning knowledge points related to the target semantic unit; finally, display the parsing data to be displayed to the user, so that the user can learn the learning knowledge points related to the target semantic unit from the parsing data to be displayed, so that the time spent by the user to obtain these learning knowledge points can be effectively reduced, thereby improving the user's learning enthusiasm, and then improving the user's semantic unit learning effect, which is conducive to improving the user's language learning effect.

[0072] In addition, the embodiments of the present application do not limit the execution subject of the display method provided in the embodiments of the present application. For example, the display method provided in the embodiments of the present application can be applied to a display device or a server. For another example, the display method provided in the embodiments of the present application can also be implemented with the help of the data interaction process between the display device and the server. Among them, the display device refers to a terminal device with an information display function; and the embodiments of the present application do not limit the display device. For example, the display device can be a smart phone, a computer, a personal digital assistant (PDA), a tablet computer, a scanning pen with a display screen, or a learning auxiliary device with a display screen (for example, a dictionary pen), etc. The server can be a stand-alone server, a cluster server, or a cloud server.

[0073] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0074] Method Embodiment

[0075] See also Figure 1 , which is a flow chart of a display method provided in an embodiment of the present application.

[0076] The display method provided by the embodiment of the present application includes S1 - S4:

[0077] S1: Obtain the target semantic unit input by the user.

[0078] The above-mentioned "user" refers to the trigger who triggers the knowledge point query request for the target semantic unit; and the embodiment of the present application does not limit this "user". For example, it can be the user of a dictionary pen.

[0079] The above-mentioned "knowledge point query request" is used to request knowledge point query processing for the target semantic unit; and the embodiment of the present application does not limit the triggering method of this "knowledge point query request". For example, specifically, it can be: by the user performing a triggering operation (such as a click operation, etc.) on a triggerable component (such as a button, etc.) deployed on the dictionary pen and having a knowledge point query request triggering function.

[0080] The above-mentioned "target semantic unit" refers to a representation unit carrying semantic information in the target language; and the embodiment of the present application does not limit this "target semantic unit". For example, when the target language is Chinese, this "target semantic unit" can be a character (such as "行"), or a word (such as "大方"). Another example is that when the target language is English, this "target semantic unit" can be a word (such as "row"), or a phrase (such as "above all").

[0081] In addition, the embodiment of the present application does not limit the acquisition process of the above-mentioned "target semantic unit". For example, specifically, it can include S11 - S12:

[0082] S11: Receive the acquisition object description data sent by the preset acquisition device.

[0083] The above-mentioned "preset acquisition device" is used to perform acquisition processing on learning objects for language autonomous learning (such as a character or a word, etc.); and the embodiment of the present application does not limit this "preset acquisition device". For example, it can be a scanning device (such as a dictionary pen with a scanning function, a scanning pen with a scanning function, or other electronic devices with a scanning function, etc.). Another example is that it can also be an image acquisition device (such as a camera, a camera, etc.). Still another example is that it can also be a character input device (such as a keyboard, a mouse, a stylus, etc.).

[0084] In addition, the above-mentioned "preset acquisition device" can perform data communication with the execution entity of the display method provided by the embodiment of the present application.

[0085] The above-mentioned "acquisition object description data" is used to represent the character features of the learning object (for example, words, phrases, etc.) that the user wants to learn the language independently; and the embodiment of the present application does not limit the "acquisition object description data", for example, it can be an image data (for example, image data obtained by scanning a scanning medium by a scanning device, or image data obtained by photographing the learning object by an image acquisition device, etc.).

[0086] S12: Determine the target semantic unit according to the collected object description data.

[0087] It should be noted that the embodiments of the present application do not limit the implementation method of S12. For example, when the above-mentioned "acquisition object description data" belongs to image data, S12 can specifically be: performing text conversion processing on the acquisition object description data to obtain a target semantic unit, so that the target semantic unit is used to represent the character information carried in the acquisition object description data (for example, a word, a word, etc.).

[0088] Based on the relevant content of S1 above, it can be known that for a user who has a need for autonomous language learning, when the user wants to learn knowledge points for a certain learning object (for example, a polyphonetic character, a polyphonetic word, a polysemous character, a polysemous word, etc.), the user can input the target semantic unit with the help of a preset acquisition device so that the target semantic unit can represent the learning object in text form, so that the knowledge point teaching process of the learning object can be determined based on the target semantic unit, so that the user can conduct autonomous learning for the learning object with the help of the knowledge point teaching process.

[0089] S2: Parsing the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension.

[0090] The above-mentioned "at least one candidate parsing dimension" is used to represent the knowledge point query aspects for the target semantic unit (for example, pinyin, interpretation, examples, source, synonyms, antonyms, etc.); and the embodiment of the present application does not limit the "at least one candidate parsing dimension", for example, it may specifically include at least one of the pronunciation dimension, interpretation dimension, application example dimension, source dimension, and associated semantic unit dimension.

[0091] The above-mentioned "parsing result of at least one candidate parsing dimension" is used to represent the knowledge point query result for the target semantic unit; and the embodiment of the present application does not limit the "parsing result of at least one candidate parsing dimension", for example, it may specifically include pronunciation description data, interpretation description data, application example data, source description data, and at least one of the associated semantic unit description data.

[0092] The above "pronunciation description data" is used to describe the pronunciation of the target semantic unit. For example, when the above "target semantic unit" is the word "generous", the "pronunciation description data" may include: dàfāng (as shown in Figure 2-Figure 5 ), and the two pinyin forms dàfang (as shown in Figure 6-Figure 7 ). Another example, when the above "target semantic unit" is the character "行", the "pronunciation description data" may include the four pinyin forms: háng, hàng, héng, and xíng (as shown in Figure 8 ).

[0093] In addition, the above "pronunciation description data" is obtained by parsing and processing the target semantic unit in the pronunciation dimension; and the embodiments of the present application do not limit the determination process of the "pronunciation description data". For example, specifically, it may be: searching for at least one candidate pronunciation (such as at least one candidate pinyin) corresponding to the target semantic unit from a preset knowledge point database to obtain the pronunciation description data. Another example, the determination process of the "pronunciation description data" may specifically be: inputting the target semantic unit into a pre-constructed machine learning model with a pronunciation determination function to obtain the pronunciation description data output by the machine learning model.

[0094] The above "explanation description data" is used to describe the semantic information represented by the target semantic unit. For example, as shown in Figure 2-Figure 5 , when the above "target semantic unit" is the word "generous" and "generous" is pronounced as dàfāng, the "explanation description data" may include the following contents: ① Not being particular about or stingy with money. ② (Speech and behavior) natural; not constrained. ③ (Style, color, etc.) not vulgar. ④ (In writing) (noun) referring to experts and scholars; insiders.

[0095] In addition, the above "explanation description data" is obtained by parsing and processing the target semantic unit in the explanation dimension; and the embodiments of the present application do not limit the determination process of the "explanation description data". For example, specifically, it may be: searching for at least one candidate explanation corresponding to the target semantic unit from a preset knowledge point database to obtain the explanation description data. Another example, the determination process of the "explanation description data" may specifically be: inputting the target semantic unit into a pre-constructed machine learning model with an explanation determination function to obtain the explanation description data output by the machine learning model.

[0096] The above "application example description data" is used to describe application examples (such as word formation or sentence making, etc.) for the target semantic unit. For example, as shown in Figure 2As shown, when the above "target semantic unit" is the word "generous", "generous" is pronounced as dàfāng, and "generous" is interpreted as "not being particular or stingy about money", the "application example description data" may specifically include the following: (1) Being generous in giving. (2) He is very generous and won't haggle over a few dollars. It should be noted that Figure 2 The symbol "~" shown refers to the word "generous".

[0097] In addition, the above "application example description data" is obtained by parsing and processing the target semantic unit in the application example dimension; and the embodiments of the present application do not limit the determination process of the "application example description data". For example, specifically, it may be: searching for at least one candidate application example corresponding to the target semantic unit from a preset knowledge point database to obtain the application example description data. Another example, the determination process of the "application example description data" may specifically be: inputting the target semantic unit into a pre-constructed machine learning model with the function of determining application examples to obtain the application example description data output by the machine learning model.

[0098] The above "source description data" is used to describe the source of the target semantic unit and / or the source of at least one knowledge point (such as interpretation, pronunciation, etc.) of the target semantic unit. For example, when the above "target semantic unit" is the character "行", the "source description data" may specifically include: The pronunciation "héng" can be seen in "道行". Another example, when the above "target semantic unit" is the word "人面桃花", the "source description data" may specifically include: Poem "Youcheng South" by Cui Hu in the Tang Dynasty: "Last year on this day behind this door, a human face and a peach blossom vied in red. The human face is nowhere to be found; the peach blossom still smiles in the spring breeze."

[0099] In addition, the above "source description data" is obtained by parsing and processing the target semantic unit in the source dimension; and the embodiments of the present application do not limit the determination process of the "source description data". For example, specifically, it may be: searching for at least one candidate source corresponding to the target semantic unit from a preset knowledge point database to obtain the source description data. Another example, the determination process of the "source description data" may specifically be: inputting the target semantic unit into a pre-constructed machine learning model with the function of determining the source to obtain the source description data output by the machine learning model.

[0100] The above "associated semantic unit description data" is used to describe other semantic units related to the target semantic unit (such as synonyms and / or antonyms, etc.). For example, when the above "target semantic unit" is the word "generous", "generous" is pronounced as dàfāng, and "generous" is interpreted as "not being particular or stingy about money", the "associated semantic unit description data" may include: [Synonym] generous. [Antonym] stingy|miserly.

[0101] In addition, the above-mentioned "associated semantic unit description data" is obtained by parsing the target semantic unit under the associated semantic unit dimension; and the embodiment of the present application does not limit the determination process of the "associated semantic unit description data", for example, it can be specifically: searching for at least one candidate associated semantic unit corresponding to the target semantic unit from the preset knowledge point database to obtain the associated semantic unit description data. For another example, the determination process of the "associated semantic unit description data" can be specifically: inputting the target semantic unit into a pre-built machine learning model with an associated semantic unit determination function to obtain the associated semantic unit description data output by the machine learning model.

[0102] Based on the above-mentioned "parsing results of at least one candidate parsing dimension", it can be known that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit, so that the knowledge point explanation data that needs to be displayed to the user can be extracted from these parsing results later.

[0103] In addition, the embodiments of the present application do not limit the acquisition process of the above-mentioned "parsing result of at least one candidate parsing dimension", for example, it may include: the determination process of the parsing results of each candidate parsing dimension shown above.

[0104] For example, the process of obtaining the above-mentioned "parsing result of at least one candidate parsing dimension" can be specifically as follows: first search the preset knowledge point database for the set of associated knowledge points corresponding to the target semantic unit; then extract the parsing result of at least one candidate parsing dimension from the set of associated knowledge points.

[0105] For example, the process of obtaining the above-mentioned "parsing result of at least one candidate parsing dimension" may also include: parsing the target semantic unit according to each candidate parsing dimension respectively to obtain the parsing result of each candidate parsing dimension.

[0106] Based on the relevant content of S2 above, it can be known that after obtaining the target semantic unit, the target semantic unit can be parsed under at least one candidate parsing dimension to obtain the parsing result of the at least one candidate parsing dimension, so that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit (for example, pinyin, interpretation, application examples, source, synonyms, antonyms, etc.), so that the knowledge point explanation data that needs to be displayed to the user can be extracted from these parsing results later.

[0107] S3: Determine the parsed data to be displayed according to the parsing result of at least one candidate parsing dimension and the mimicked character.

[0108] The above-mentioned “mimetic character” is used to represent a virtual teacher; and the embodiment of the present application does not limit the “mimetic character” to be implemented by using a pre-built virtual character image.

[0109] The above-mentioned "parsed data to be displayed" is used to display the learning knowledge points related to the target semantic unit; and the "parsed data to be displayed" can simulate and display the teacher's explanation process for the target semantic unit.

[0110] In addition, the embodiment of the present application does not limit the above-mentioned "parsed data to be displayed", for example, it may include: at least one page to be displayed. It should be noted that the relevant content of the above-mentioned "at least one page to be displayed" can be found in the relevant content of "at least one page to be displayed" shown in S32 below.

[0111] In addition, the embodiment of the present application does not limit the determination process of the above-mentioned "parsed data to be displayed", for example, it may specifically include S31-S32:

[0112] S31: Determine at least one text data to be displayed and audio data corresponding to the at least one text data to be displayed according to the parsing result of at least one candidate parsing dimension.

[0113] The above-mentioned “at least one text data to be displayed” is used to display the above-mentioned “parsing result of at least one candidate parsing dimension” in text form.

[0114] The above-mentioned "audio data corresponding to at least one text data to be displayed" is used to display the above-mentioned "parsing result of at least one candidate parsing dimension" in the form of voice; and the semantic information carried by the "at least one audio data corresponding to the text data to be displayed" overlaps with the semantic information carried by the above-mentioned "at least one text data to be displayed" (for example, the semantic information carried by the "audio data corresponding to the at least one text data to be displayed" may include the semantic information carried by the above-mentioned "at least one text data to be displayed").

[0115] In addition, the embodiment of the present application does not limit the implementation of S31. For example, it may specifically include S311-S312:

[0116] S311: Determine at least one text data to be displayed according to the parsing result of at least one candidate parsing dimension.

[0117] As an example, when the above-mentioned “at least one candidate parsing dimension” includes I candidate parsing dimensions, S311 may specifically include S3111-S3112:

[0118] S3111: Determine at least one parsed description text corresponding to the i-th candidate parsing dimension according to the parsing result of the i-th candidate parsing dimension, where i is a positive integer, i≤I, and I is a positive integer.

[0119] The above-mentioned "parsing result of the i-th candidate parsing dimension" is obtained by performing parsing processing on the target semantic unit under the i-th candidate parsing dimension. Wherein, i is a positive integer, i ≤ I, and I is a positive integer.

[0120] In addition, the embodiments of the present application do not limit the above-mentioned "parsing results of the I candidate parsing dimensions". For example, specifically, the parsing result of the first candidate parsing dimension may represent the above-mentioned "pronunciation description data"; the parsing result of the second candidate parsing dimension may represent the above-mentioned "paraphrase description data"; the parsing result of the third candidate parsing dimension may represent the above-mentioned "application example description data"; the parsing result of the fourth candidate parsing dimension may represent the above-mentioned "source description data"; the parsing result of the fifth candidate parsing dimension may represent the above-mentioned "associated semantic unit description data".

[0121] The above-mentioned "at least one parsing description text corresponding to the i-th candidate parsing dimension" is used to display the parsing result of the i-th candidate parsing dimension in text form.

[0122] In addition, the embodiments of the present application do not limit the determination process of the above-mentioned "at least one parsing description text corresponding to the i-th candidate parsing dimension" (that is, the implementation manner of S311). For example, when the above-mentioned "parsing result of the i-th candidate parsing dimension" includes J items of parsing content, S311 may specifically be: determining the j-th item of parsing content in the parsing result of the i-th candidate parsing dimension as the j-th parsing description text corresponding to the i-th candidate parsing dimension. Wherein, j is a positive integer, j ≤ J.

[0123] The above-mentioned "J items of parsing content" are used to represent at least one knowledge point of the target semantic unit under the i-th candidate parsing dimension. For example, when the above-mentioned "target semantic unit" is the word "generous", "generous" is pronounced as dàfāng, and the above-mentioned "i-th candidate parsing dimension" refers to the paraphrase dimension, the above-mentioned "J items of parsing content" may include the following four paraphrases: ① Not being计较 or stingy with money. ② (Speech and behavior) natural; not restrained. ③ (Style, color, etc.) not vulgar. ④ (Book) (Noun) referring to experts and scholars; insiders.

[0124] The above-mentioned "j-th item of parsing content in the parsing result of the i-th candidate parsing dimension" is used to represent the j-th knowledge point of the target semantic unit under the i-th candidate parsing dimension. For example, when the above-mentioned "J items of parsing content" include the four paraphrases shown in ① - ④ above, and j = 4, the above-mentioned "j-th item of parsing content in the parsing result of the i-th candidate parsing dimension" may be the paraphrase content of "(Book) (Noun) referring to experts and scholars; insiders".

[0125] Based on the relevant content of S3111 above, it can be known that after obtaining the parsing result of the i-th candidate parsing dimension, at least one parsing description text corresponding to the i-th candidate parsing dimension can be extracted from the "parsing result of the i-th candidate parsing dimension", so that each parsing description text can respectively represent each knowledge point related to the target semantic unit under the i-th candidate parsing dimension, so that these parsing description texts can display the "parsing result of the i-th candidate parsing dimension" in text form.

[0126] S3112: Determine at least one text data to be displayed based on at least one parsing description text corresponding to the I candidate parsing dimensions, so that the "at least one text data to be displayed" includes the at least one parsing description text corresponding to the I candidate parsing dimensions.

[0127] It should be noted that the embodiments of the present application do not limit the implementation method of S3112. For example, it can specifically be: each parsed description text corresponding to the i-th candidate parsing dimension is determined as the text data to be displayed; wherein i is a positive integer, i≤I, and I is a positive integer.

[0128] Based on the relevant content of S311 above, it can be known that after obtaining the parsing results of at least one candidate parsing dimension, at least one text data to be displayed can be extracted from these parsing results, so that these text data to be displayed can express the semantic information carried by these parsing results in text form, so that these text data to be displayed can express the knowledge points related to the target semantic unit in text form.

[0129] S312: Determine audio data corresponding to the at least one text data to be displayed according to the at least one text data to be displayed.

[0130] It should be noted that the embodiment of the present application does not limit the implementation of S312. For example, it may specifically include S3121-S3122:

[0131] S3121: Determine the voice broadcast text corresponding to each text data to be displayed.

[0132] As an example, when the above-mentioned "at least one text data to be displayed" includes N text data to be displayed, S3121 can specifically be: according to the nth text data to be displayed, determine the voice broadcast text corresponding to the nth text data to be displayed (for example, the nth text data to be displayed can be directly determined as the voice broadcast text corresponding to the nth text data to be displayed), so that the semantic information carried by the "voice broadcast text corresponding to the nth text data to be displayed" includes the semantic information carried by the nth text data to be displayed. Wherein, n is a positive integer, n≤N, and N is a positive integer.

[0133] S3122: Perform audio conversion processing on the voice broadcast text corresponding to each text data to be displayed to obtain audio data corresponding to each text data to be displayed.

[0134] In an embodiment of the present application, after obtaining the voice broadcast text corresponding to the nth text data to be displayed, the "voice broadcast text corresponding to the nth text data to be displayed" can be subjected to audio conversion processing to obtain the audio data corresponding to the nth text data to be displayed, so that the voice content carried by the "audio data corresponding to the nth text data to be displayed" includes the "voice broadcast text corresponding to the nth text data to be displayed", thereby making the semantic information carried by the "audio data corresponding to the nth text data to be displayed" include the semantic information carried by the nth text data to be displayed. Wherein, n is a positive integer, n≤N, and N is a positive integer.

[0135] It should be noted that the embodiment of the present application does not limit the implementation method of the "audio conversion processing" in S3122. For example, any existing or future method that can convert text data into audio data can be used for implementation.

[0136] Based on the relevant content of S31 above, it can be known that after obtaining the parsing results of at least one candidate parsing dimension, at least one text data to be displayed and the audio data corresponding to the at least one text data to be displayed can be determined according to these parsing results, so that these text data to be displayed and their corresponding audio data can display the semantic information carried by these parsing results in multiple ways, which is conducive to improving the display diversity of the semantic information carried by these parsing results.

[0137] S32: Determine the parsed data to be displayed according to at least one text data to be displayed, the audio data corresponding to the at least one text data to be displayed, and the simulated character.

[0138] It should be noted that the embodiment of the present application does not limit the implementation method of S32. For example, it may specifically include: determining at least one page to be displayed and the display order of the at least one page to be displayed based on at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and an emulated character.

[0139] The above-mentioned "at least one page to be displayed" is used to display at least one text data to be displayed, the audio data corresponding to the at least one text data to be displayed, and the simulated character; and there are differences between the knowledge points displayed by each page to be displayed in the "at least one page to be displayed". For example, when the above-mentioned "target semantic unit" is the word "generous", the "at least one page to be displayed" may include Figure 2-Figure 7For another example, when the above-mentioned "target semantic unit" is the word "row", the "at least one page to be displayed" may include Figure 8-Figure 12 The page shown.

[0140] In addition, the embodiment of the present application does not limit the determination process of the above-mentioned "at least one page to be displayed". For example, when the above-mentioned "at least one text data to be displayed" includes N text data to be displayed, the determination process of the "at least one page to be displayed" may specifically include steps 11 to 13:

[0141] Step 11: Combine the nth text data to be displayed and the audio data corresponding to the nth text data to be displayed to obtain the nth multimedia data to be displayed, where n is a positive integer, n≤N.

[0142] The above-mentioned "nth multimedia data to be displayed" is used to display the semantic information carried by the nth text data to be displayed in multiple forms (for example, text form and language form), so that the simulated character can subsequently achieve the purpose of voice interpretation of the text data in the "nth multimedia data to be displayed" by broadcasting the audio data in the "nth multimedia data to be displayed".

[0143] In addition, the embodiment of the present application does not limit the representation method of the above-mentioned "nth multimedia data to be displayed", for example, it can be represented by a tuple (nth text data to be displayed, audio data corresponding to the nth text data to be displayed).

[0144] Step 12: According to a preset information combination rule, N multimedia data to be displayed are combined and processed to obtain at least one multimedia combination.

[0145] The above-mentioned “information combination rule” can be preset (especially can be set according to the application scenario); and the embodiment of the present application does not limit the “information combination rule”, for example, it can specifically include the following contents: (1) Each interpretation can be combined with the pronunciation corresponding to each interpretation and the application example corresponding to each interpretation (for example, Figure 4 (e.g., “dàfāng” + “(style, color, etc.) not tacky” + “displayed generously. The color and pattern of this cloth look very generous”); (2) All pronunciations are combined (e.g., Figure 8 The combination of “háng” + “hàng” + “héng” + “xíng” shown above); … (other rules omitted).

[0146] The above-mentioned “at least one multimedia combination” is used to display N multimedia data to be displayed; and there are differences between the semantic information (especially, knowledge points) carried in the “at least one multimedia combination”.

[0147] Step 13: Determine at least one page to be displayed based on at least one multimedia combination and the simulated character.

[0148] It should be noted that the embodiment of the present application does not limit the implementation method of step 13. For example, when the above-mentioned "at least one multimedia combination" includes M multimedia combinations, step 13 can be specifically: according to the m-th multimedia combination and the simulated character, determine the m-th page to be displayed, so that the m-th page to be displayed is used to display the m-th multimedia combination and the simulated character, so that the m-th page to be displayed can simulate and display the teacher's explanation process for the knowledge points carried by the m-th multimedia combination. Wherein, m is a positive integer, m≤M, and M is a positive integer.

[0149] In addition, the embodiment of the present application does not limit the determination process of the above-mentioned "mth page to be displayed". For example, it can be specifically: according to the pre-set first page deployment rule, the mth multimedia combination and the simulated character are page deployed to obtain the mth page to be displayed.

[0150] The above-mentioned "first page deployment rule" can be preset, for example, it can be specifically: the text content of the m-th multimedia combination is deployed at the first page position (for example, Figure 2 ), and the mimetic character is deployed in a second page position (for example, Figure 2 The position of the virtual character in the video).

[0151] It should be noted that the embodiments of the present application do not limit the implementation method of the above-mentioned "page deployment processing". For example, it can be implemented by any existing or future method that can deploy and place information on an initial page.

[0152] In fact, in order to improve the user experience, the embodiment of the present application also provides another possible implementation of the above-mentioned "mth page to be displayed" determination process, which can be specifically: according to the target semantic unit, the mth multimedia combination, and the mimetic character, the mth page to be displayed is determined, so that the mth page to be displayed is used to display the target semantic unit, the mth multimedia combination and the mimetic character. For ease of understanding, the following is explained with examples.

[0153] As an example, the above-mentioned determination process of the "mth page to be displayed" can be specifically as follows: according to a pre-set second page deployment rule, page deployment processing is performed on the target semantic unit, the mth multimedia combination, and the simulated character to obtain the mth page to be displayed.

[0154] The above "Second Page Deployment Rule" can be preset. For example, specifically, it can be: The target semantic unit is deployed at the third page position (for example, Figure 2 the position where the two characters "generous" are located in Figure 2 ); The text content in the mth multimedia combination is deployed at the fourth page position (for example, Figure 2 the position where the text "not计较财物, not吝啬; 出手~。他很~,不会计较这几个钱" is located in

[0155] Based on the relevant content of the above steps 11 to 13, after obtaining at least one piece of text data to be displayed and its corresponding audio data, at least one page to be displayed can be constructed with reference to these text data to be displayed, its corresponding audio data, and the preset mimetic character (for example, Figure 2-Figure 7 the page shown in

[0156] The above "display order of at least one page to be displayed" refers to the order used when displaying the at least one page to be displayed to the user; and the embodiments of the present application do not limit the "display order of at least one page to be displayed". For example, when the above "at least one page to be displayed" includes Figure 2-Figure 7 the page shown in Figure 2-Figure 7 , the "display order of at least one page to be displayed" can be: display Figure 8-Figure 12 in sequence. Another example, when the above "at least one page to be displayed" includes Figure 8-Figure 12 the page shown in

[0157] Based on the relevant content of the above S3, after obtaining the parsing results of at least one candidate parsing dimension, the data information to be displayed to the user (for example, text data + voice data) can be extracted from these parsing results first; then the mimetic character is fused with these data information to obtain the parsing data to be displayed, so that the parsing data to be displayed can simulate and display the teacher's explanation process for the target semantic unit (for example, text explanation + voice explanation, etc.), so that the parsing data to be displayed can better represent the knowledge points related to the target semantic unit.

[0158] S4: Display the parsing data to be displayed to the user.

[0159] It should be noted that the embodiments of the present application do not limit the implementation method of S4. For example, when the above-mentioned "parsed data to be displayed" includes at least one page to be displayed, S4 can specifically be: displaying the at least one page to be displayed to the user in the display order of the at least one page to be displayed, so that the user can experience the process of the virtual teacher explaining the knowledge points of the target semantic unit, thereby enabling the user to better learn the learning knowledge points related to the target semantic unit.

[0160] Based on the relevant contents of S1 to S4 above, it can be known that for the display method provided in the embodiment of the present application, after obtaining the target semantic unit (for example, a character, or a word, etc.) input by the user, the target semantic unit is first parsed from at least one candidate parsing dimension to obtain the parsing result of the at least one candidate parsing dimension, so that these parsing results can more comprehensively represent the learning knowledge points related to the target semantic unit (for example, pinyin, interpretation, application examples, source, synonyms, antonyms, etc.); then, based on these parsing results and the simulated character, the parsing data to be displayed is determined, so that the parsing data to be displayed can represent the learning knowledge points related to the target semantic unit; finally, the parsing data to be displayed is displayed to the user, so that the user can learn the learning knowledge points related to the target semantic unit from the parsing data to be displayed, so that the autonomous learning process for the target semantic unit can be realized, thereby effectively avoiding the defects of the teacher's on-site teaching, and then improving the user's semantic unit learning effect, which is conducive to improving the user's language learning effect.

[0161] Based on the display method provided by the above method embodiment, the embodiment of the present application also provides a display device, which is explained and illustrated below in conjunction with the accompanying drawings.

[0162] Device Embodiment

[0163] The device embodiment introduces the display device, and related content can be found in the above method embodiment.

[0164] See also Fig.13 , which is a structural schematic diagram of a display device provided in an embodiment of the present application.

[0165] The display device 1300 provided in the embodiment of the present application includes:

[0166] The object acquisition module 1301 is used to acquire the target semantic unit input by the user;

[0167] A parsing processing module 1302 is used to parse the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension;

[0168] A data determination module 1303 is used to determine the parsed data to be displayed according to the parsing result of the at least one candidate parsing dimension and the mimic character;

[0169] The data display module 1304 is used to display the parsed data to be displayed to the user.

[0170] In a possible implementation, the parsing result of the at least one candidate parsing dimension includes at least one of pronunciation description data, interpretation description data, application example description data, source description data, and associated semantic unit description data.

[0171] In a possible implementation, the data determination module 1303 includes:

[0172] A first determination submodule, configured to determine at least one text data to be displayed and audio data corresponding to the at least one text data to be displayed according to the parsing result of the at least one candidate parsing dimension;

[0173] The second determination submodule is used to determine the parsed data to be displayed according to at least one text data to be displayed, the audio data corresponding to the at least one text data to be displayed, and the simulated character.

[0174] In a possible implementation manner, the number of candidate parsing dimensions is 1;

[0175] The first determining submodule includes:

[0176] A third determination submodule is used to determine at least one parsed description text corresponding to the i-th candidate parsing dimension according to the parsing result of the i-th candidate parsing dimension; wherein i is a positive integer, i≤I, and I is a positive integer;

[0177] The fourth determination submodule is used to determine the at least one text data to be displayed according to at least one parsed description text corresponding to I candidate parsing dimensions.

[0178] In a possible implementation manner, the parsing result of the i-th candidate parsing dimension includes J parsing contents;

[0179] The third determination submodule is specifically used to: determine the j-th parsed content in the parsing result of the i-th candidate parsing dimension as the j-th parsing description text corresponding to the i-th candidate parsing dimension; wherein j is a positive integer, j≤J.

[0180] In a possible implementation manner, the first determining submodule includes:

[0181] The fifth determination submodule is used to determine the voice broadcast text corresponding to each text data to be displayed; perform audio conversion processing on the voice broadcast text corresponding to each text data to be displayed to obtain audio data corresponding to each text data to be displayed.

[0182] In a possible implementation manner, the second determination submodule is specifically configured to: determine at least one page to be displayed and a display order of the at least one page to be displayed according to at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and a mimicking character;

[0183] The data display module 1304 is specifically configured to display the at least one to-be-displayed page to the user according to the display order of the at least one to-be-displayed page.

[0184] In a possible implementation manner, the number of text data to be displayed is N; wherein N is a positive integer;

[0185] The second determining submodule includes:

[0186] A first combining submodule is used to combine the nth text data to be displayed and the audio data corresponding to the nth text data to be displayed to obtain the nth multimedia data to be displayed; wherein n is a positive integer, n≤N;

[0187] The second combining submodule is used to combine and process the N multimedia data to be displayed according to a preset information combination rule to obtain at least one multimedia combination;

[0188] The sixth determination submodule is used to determine the at least one page to be displayed according to the at least one multimedia combination and the simulated character.

[0189] In a possible implementation manner, the number of the multimedia combinations is M;

[0190] The sixth determination submodule is specifically used to: determine the mth page to be displayed according to the mth multimedia combination and the simulated character, so that the mth page to be displayed is used to display the mth multimedia combination and the simulated character; wherein m is a positive integer, m≤M, and M is a positive integer.

[0191] In a possible implementation, the sixth determination submodule is specifically used to: perform page deployment processing on the mth multimedia combination and the mimetic character according to a preset first page deployment rule to obtain the mth page to be displayed; wherein m is a positive integer, m≤M, and M is a positive integer.

[0192] In a possible implementation, the sixth determination submodule is specifically used to: determine the mth page to be displayed according to the target semantic unit, the mth multimedia combination, and the mimetic character; wherein m is a positive integer, m≤M, and M is a positive integer.

[0193] In a possible implementation, the sixth determination submodule is specifically used to: perform page deployment processing on the target semantic unit, the mth multimedia combination, and the mimetic character according to a pre-set second page deployment rule to obtain the mth page to be displayed; wherein m is a positive integer, m≤M, and M is a positive integer.

[0194] Furthermore, an embodiment of the present application also provides a device, including: a processor, a memory, and a system bus;

[0195] The processor and the memory are connected via the system bus;

[0196] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes any one of the implementation methods of the above-mentioned display method.

[0197] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal device, the terminal device executes any implementation method of the above-mentioned display method.

[0198] Furthermore, an embodiment of the present application also provides a computer program product, which, when executed on a terminal device, enables the terminal device to execute any one of the implementation methods of the above-mentioned display method.

[0199] It can be known from the description of the above implementation mode that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment method can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., including several instructions for enabling a computer device (which can be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the methods described in the various embodiments of the present application or certain parts of the embodiments.

[0200] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0201] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0202] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A display method, characterized in that: The method comprises: Get the target semantic unit input by the user; The target semantic unit is parsed from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension; the at least one candidate parsing dimension is used to represent a knowledge point query aspect for the target semantic unit; the at least one candidate parsing dimension includes at least one of a pronunciation dimension, a meaning dimension, an application example dimension, a source dimension, and an associated semantic unit dimension; the parsing result is used to represent a knowledge point query result for the target semantic unit; Determine, according to the parsing result of the at least one candidate parsing dimension and the simulated character, parsing data to be displayed, the parsing data to be displayed is used to display the knowledge point described by the knowledge point query result, the parsing data to be displayed includes at least one page to be displayed, and there are differences between the knowledge points displayed on different pages to be displayed; Displaying the parsed data to be displayed to the user; The determining the parsed data to be displayed according to the parsing result of the at least one candidate parsing dimension and the mimicking character includes: Determine, according to the parsing result of the at least one candidate parsing dimension, at least one text data to be displayed and audio data corresponding to the at least one text data to be displayed, and for any of the text data to be displayed, the semantic information carried by the audio data corresponding to the text data to be displayed includes the semantic information carried by the text data to be displayed; According to at least one text data to be displayed, audio data corresponding to the at least one text data to be displayed, and a simulated character, at least one page to be displayed and a display order of the at least one page to be displayed are determined; the determination process of the at least one page to be displayed includes: combining the nth text data to be displayed and the audio data corresponding to the nth text data to be displayed to obtain the nth multimedia data to be displayed; wherein n is a positive integer, n≤N, N is a positive integer, and N represents the number of the text data to be displayed; according to a preset information combination rule, the N multimedia data to be displayed are combined and processed to obtain M multimedia combinations, M is a positive integer, so that the semantic information carried by the M multimedia combinations includes the semantic information carried by the N multimedia data to be displayed, and there is a difference between the semantic information carried by different multimedia combinations; according to the mth multimedia combination and the simulated character, the mth page to be displayed is determined, so that the mth page to be displayed is used to display the mth multimedia combination and the simulated character, wherein m is a positive integer, m≤M, and M is a positive integer; The displaying the to-be-displayed parsed data to the user comprises: According to the display order of the at least one page to be displayed, the at least one page to be displayed is displayed to the user to simulate the teacher's explanation process for the target semantic unit.

2. The method according to claim 1, characterized in that The parsing result of the at least one candidate parsing dimension includes at least one of pronunciation description data, interpretation description data, application example description data, source description data, and associated semantic unit description data.

3. The method according to claim 1, characterized in that The number of candidate parsing dimensions is 1; The process of determining the at least one text data to be displayed includes: Determine, according to the parsing result of the i-th candidate parsing dimension, at least one parsing description text corresponding to the i-th candidate parsing dimension; wherein i is a positive integer, i≤I, and I is a positive integer; Determine the at least one text data to be displayed according to at least one parsed description text corresponding to I candidate parsing dimensions.

4. The method according to claim 3, characterized in that The parsing result of the i-th candidate parsing dimension includes J parsing contents; The step of determining at least one parsing description text corresponding to the i-th candidate parsing dimension according to the parsing result of the i-th candidate parsing dimension comprises: The j-th parsed content in the parsing result of the i-th candidate parsing dimension is determined as the j-th parsing description text corresponding to the i-th candidate parsing dimension; wherein j is a positive integer, j≤J.

5. The method according to claim 1, characterized in that The process of determining the audio data corresponding to the at least one text data to be displayed includes: Determine the voice broadcast text corresponding to each text data to be displayed; The voice broadcast text corresponding to each text data to be displayed is subjected to audio conversion processing to obtain audio data corresponding to each text data to be displayed.

6. The method according to claim 1, characterized in that The step of determining the mth page to be displayed according to the mth multimedia combination and the mimicking character includes: According to a preset first page deployment rule, page deployment processing is performed on the m-th multimedia combination and the mimicking character to obtain the m-th page to be displayed.

7. The method according to claim 1, characterized in that The step of determining the mth page to be displayed according to the mth multimedia combination and the mimicking character includes: The mth page to be displayed is determined according to the target semantic unit, the mth multimedia combination, and the mimicked character.

8. The method according to claim 7, characterized in that The step of determining the mth page to be displayed according to the target semantic unit, the mth multimedia combination, and the mimicking character includes: According to a preset second page deployment rule, page deployment processing is performed on the target semantic unit, the m-th multimedia combination, and the mimetic character to obtain the m-th page to be displayed.

9. A display device, characterized in that: include: An object acquisition module is used to acquire a target semantic unit input by a user; A parsing processing module, used to parse the target semantic unit from at least one candidate parsing dimension to obtain a parsing result of the at least one candidate parsing dimension; the at least one candidate parsing dimension is used to represent a knowledge point query aspect for the target semantic unit; The at least one candidate parsing dimension includes at least one of a pronunciation dimension, a meaning dimension, an application example dimension, a source dimension, and an associated semantic unit dimension; the parsing result is used to represent a knowledge point query result for the target semantic unit; A data determination module, configured to determine the parsed data to be displayed according to the parsing result of the at least one candidate parsing dimension and the simulated character, wherein the parsed data to be displayed is used to display the knowledge point described by the knowledge point query result, and the parsed data to be displayed includes at least one page to be displayed, and there are differences between the knowledge points displayed on different pages to be displayed; A data display module, used for displaying the analyzed data to be displayed to the user; The data determination module is specifically used to: determine at least one text data to be displayed and audio data corresponding to the at least one text data to be displayed according to the parsing result of the at least one candidate parsing dimension, and for any of the text data to be displayed, the semantic information carried by the audio data corresponding to the text data to be displayed includes the semantic information carried by the text data to be displayed; determine at least one page to be displayed and the display order of the at least one page to be displayed according to the at least one text data to be displayed, the audio data corresponding to the at least one text data to be displayed, and the mimicking character; The process of determining the at least one page to be displayed includes: combining the nth text data to be displayed and the audio data corresponding to the nth text data to be displayed to obtain the nth multimedia data to be displayed; wherein n is a positive integer, n≤N, N is a positive integer, and N represents the number of the text data to be displayed; combining the N multimedia data to be displayed according to a preset information combination rule to obtain M multimedia combinations, where M is a positive integer; determining the mth page to be displayed according to the mth multimedia combination and the simulated character, so that the mth page to be displayed is used to display the mth multimedia combination and the simulated character, wherein m is a positive integer, m≤M, and M is a positive integer; The data display module is specifically used to display the at least one page to be displayed to the user according to the display order of the at least one page to be displayed, so as to simulate the teacher's explanation process for the target semantic unit.

10. A display device, characterized in that: The device includes: a processor, a memory, and a system bus; The processor and the memory are connected via the system bus; The memory is used to store one or more programs, wherein the one or more programs include instructions, and when the instructions are executed by the processor, the processor executes the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the method according to any one of claims 1 to 8.

12. A computer program product, characterized in that When the computer program product is executed on a terminal device, the terminal device executes the method according to any one of claims 1 to 8.

Images