CN111815274A

CN111815274A - Information processing method and device and electronic equipment

Info

Publication number: CN111815274A
Application number: CN202010638194.3A
Authority: CN
Inventors: 马福龙
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-07-03
Filing date: 2020-07-03
Publication date: 2020-10-23

Abstract

The embodiment of the disclosure discloses an information processing method, an information processing device and electronic equipment. One embodiment of the method comprises: acquiring text information corresponding to a target video; determining at least one test question for checking a knowledge point included in the target video based on the text information; the at least one test question is displayed, the test question for testing is automatically generated according to the video, the cost for manually generating the test question according to the video can be reduced, the test question generation efficiency is improved, and the teaching and research cost is reduced.

Description

Information processing method and device and electronic equipment

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to an information processing method and apparatus, and an electronic device.

Background

Multimedia teaching refers to the comprehensive application and classroom teaching of various electronic media such as slides, projection, sound recording, video recording and the like. With the development of computer applications, multimedia computers have gradually replaced the comprehensive use status of the past multimedia teaching media. In multimedia teaching, a video may be played using a computer, and knowledge points may be included in the video for the viewer to learn.

Disclosure of Invention

This disclosure is provided to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

The embodiment of the disclosure provides an information processing method and device and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides an information processing method, where the method includes: acquiring text information corresponding to a target video; determining at least one test question for checking a knowledge point included in the target video based on the text information; and displaying the at least one test question.

In a second aspect, an embodiment of the present disclosure provides an information processing apparatus, including: the acquisition unit is used for acquiring text information corresponding to the target video; a determination unit, configured to determine at least one test question for checking a knowledge point included in the target video based on the text information; and the display unit is used for displaying the at least one test question.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the information processing method according to the first aspect.

In a fourth aspect, the disclosed embodiments provide a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the steps of the information processing method according to the first aspect.

According to the information processing method, the information processing device and the electronic equipment, the text information corresponding to the target video is obtained; determining at least one test question for checking a knowledge point included in the target video based on the text information; the at least one test question is displayed, the test question for testing is automatically generated according to the video, the cost for manually generating the test question according to the video can be reduced, the test question generation efficiency is improved, and the teaching and research cost is reduced.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

FIG. 1 is a flow diagram of one embodiment of an information processing method according to the present disclosure;

FIG. 2 is a schematic block diagram of one embodiment of an information processing apparatus according to the present disclosure;

FIG. 3 is an exemplary system architecture to which the information processing method of one embodiment of the present disclosure may be applied;

fig. 4 is a schematic diagram of a basic structure of an electronic device provided according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

When the multimedia teaching is used, videos containing knowledge points can be displayed through the multimedia computer, and students or users can learn the videos. In order to make students or users have a better grasp of knowledge points, the users are required to do some test questions for testing the knowledge points after the videos are displayed. In the prior art, the test questions are edited by the teaching and research personnel. When the instructor edits the test questions, the instructor needs to study each knowledge point in the video first and then edit the test questions on the knowledge points. Thereby forming a test question corresponding to the video. Therefore, the method for generating the test questions of the knowledge points in the test video has low efficiency of generating the test questions on one hand and high teaching and research cost on the other hand. In order to solve the above problems, the present disclosure proposes the following solutions.

Referring to fig. 1, a flow of one embodiment of an information processing method according to the present disclosure is shown. The information processing method as shown in fig. 1 includes the steps of:

step 101, obtaining text information corresponding to a target video.

In this embodiment, the electronic device executing the information processing method may be a server or a terminal device.

In some application scenarios, the electronic device may be a server. The electronic equipment can acquire the text information corresponding to the target video through various methods, and the user can input the information of the target video into the terminal equipment, and the terminal equipment sends the information of the target video to the server. The server can receive the information of the target video and obtain the target video from other electronic equipment which is locally or in communication connection with the server. The information of the target video may be, for example, a name of the target video. Or several video frames in a complete video.

The electronic device may obtain text information corresponding to the target video through various methods, for example, extract audio information in the target video, and then convert the audio data into text information.

The audio information of the target video may be converted into text information using various existing methods of converting audio into text.

In some optional implementations of this embodiment, the target video may be provided with subtitles. In these optional implementation manners, the obtaining of the text information corresponding to the target video may include the following steps:

first, subtitles of a target video are extracted.

In some application scenarios, the file of the target video includes a subtitle file. In these application scenarios, the electronic device may extract subtitles of the target video from a file of the target video.

In other application scenarios, the subtitles are embedded in the target video. In these application scenarios, the extracting the subtitles of the target video may further include the following steps:

first, a character displayed in a target video screen is recognized using an optical character recognition method.

Second, subtitles of the target video are determined from the text using optical character recognition.

In these application scenarios, the text recognized by an Optical Character Recognition (OCR) method may be corrected. The text in the optically identified target video picture is corrected, for example, according to lexical analysis and/or semantic analysis. And obtaining the subtitle of the target video according to the error correction and the result.

Next, text information is generated from the subtitles.

The determined subtitles may be directly used as text information of the target video. Or editing the subtitles to generate text information corresponding to the subtitles.

And step 102, determining at least one test question for checking knowledge points included in the target video based on the text information.

The knowledge points to be examined can be searched in the text information, and then the test questions for checking the knowledge points are determined.

The knowledge points may include at least one of, but are not limited to: words, phrases, grammars.

It should be noted that different topics of the target video may correspond to different knowledge points. For a target video in chinese, the knowledge points may include, but are not limited to: pinyin, strokes, radicals, words, idioms, syntax, linguistic vocabulary, linguistic patterns, and the like. For an english target video, the knowledge points may include, but are not limited to: word spelling, sentence pattern, grammar, etc. For a mathematical class of target videos, the knowledge points may include, but are not limited to: formulas, question types, etc.

The above-mentioned determining at least one test question for checking knowledge points included in the target video based on the text information may include the following sub-steps:

sub-step 1021, identifying at least one knowledge point comprised by the text information.

And a substep 1022 of matching the at least one knowledge point with a preset question bank and determining at least one test question according to the matching result.

The recognizing of the at least one knowledge point included in the text information includes: and performing operations such as word segmentation processing, semantic analysis and the like on the text information. For each word segmentation result, matching can be performed on a preset knowledge point list, and the knowledge points successfully matched with the knowledge point list are used as the knowledge points corresponding to the target video. A plurality of knowledge points may be stored in the knowledge point list. Further, the list of knowledge points may include different type identifiers. The type identifier here may include words, grammars, etc.

In some application scenarios, each knowledge point in the knowledge point list may also be matched with the text information of the target video. And if the matching is successful (for example, the matching degree is greater than a preset degree threshold), taking the knowledge point as a knowledge point of the target video.

After determining at least one knowledge point included in the text information corresponding to the target video, the at least one knowledge point may be matched with the preset question bank. The preset question bank can store a plurality of candidate knowledge points and at least one test question corresponding to the candidate knowledge points in an associated mode. And determining at least one test question for testing the knowledge points included in the target video according to the matching result.

Further, the sub-step 1022 may further include the following steps:

firstly, for each knowledge point, determining the knowledge point and each test in the preset question bank

Relevance of the topic.

Namely, for at least one knowledge point of the target video, for each knowledge point, determining the correlation degree of the knowledge point and the candidate knowledge points in the preset question bank. Here, the degree of correlation may be a degree of correlation between the knowledge point and the candidate knowledge point. Here, the degree of correlation refers to a degree of correlation between words or between sentences. The calculation method of the inter-word and inter-sentence correlation degree may include, but is not limited to: the similarity calculation method based on the literal information, the similarity calculation method based on the word forest and the similarity calculation method based on the known network.

It should be noted that the above method for calculating the correlation between words and sentences is a method widely studied and applied at present, and is not described herein again.

Second, at least one test question corresponding to the knowledge point is determined based on the correlation.

As an example, at least one test question corresponding to the knowledge point may be determined according to the magnitude of the correlation. For example, a preset number of candidate knowledge points may be selected as target candidate knowledge points in an order from a large degree of correlation to a small degree of correlation. And determining at least one test question from the test questions corresponding to the target candidate knowledge points.

And 103, displaying the at least one test question.

In this embodiment, if the execution subject of the information processing method is the server, the server may send the determined at least one test question to the terminal device, and the terminal device displays the at least one test question. If the execution subject of the information processing method is the terminal device, the terminal device may display the at least one test question in a display device thereof.

In some optional implementations of this embodiment, the foregoing sub-step 1021 may further include: and determining a target knowledge point from at least one knowledge point according to the information of the user to be tested.

The information of the user may include, but is not limited to, at least one of the following: age, occupation, learning stage, test purpose, difficulty level of the user. The user information may be input by the user or may be obtained from a user representation obtained through another means.

The aforementioned occupations include: students, employees at work, etc. The test purposes include: pronunciation, word spelling, sentence practice. The learning phase includes the grade of the user. The difficulty ratings include: primary, intermediate, advanced, etc.

Each knowledge point in the knowledge point list may correspond to an attribute of information of the user. At least one target knowledge point can be determined in the knowledge point list according to the information of the user to be tested.

In these alternative implementations, the sub-step 1022 may include: and matching the target knowledge points with a preset question bank, and determining at least one target test question according to a matching result. The step 103 may include: and displaying the at least one target test question.

In these alternative implementations, the accuracy of the acquired test questions can be improved by setting the information of the user to be tested.

In some application scenarios, each of the test questions stored in the preset test question library may also include a user attribute. The user attribute may correspond to the information of the user. In these application scenarios, the user information may also be input when matching the knowledge point determined from the target video with a preset test question library, so as to determine at least one test question from the test question library, and match the at least one test question with the user information to determine the accuracy of the generated test question.

The method provided by the embodiment of the disclosure acquires text information corresponding to a target video; determining at least one test question for checking a knowledge point included in the target video based on the text information; and displaying at least one test question. Compared with the prior art that the knowledge points included in the video need to be manually selected from the video and then the test questions corresponding to the knowledge points are manually determined, the method and the device can automatically identify the knowledge points corresponding to the target video and automatically generate the test questions corresponding to the knowledge points included in the target video according to the knowledge points. The cost of manually generating test questions according to videos can be reduced, the test question generation efficiency is improved, and the teaching and research cost is reduced.

With further reference to fig. 2, as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an information processing apparatus, which corresponds to the embodiment of the method shown in fig. 1, and which is particularly applicable in various electronic devices.

As shown in fig. 2, the information processing apparatus of the present embodiment includes: an acquisition unit 201, a determination unit 202 and a presentation unit 203. The acquiring unit 201 is configured to acquire text information corresponding to a target video; a determining unit 202, configured to determine at least one test question for checking a knowledge point included in the target video based on the text information; the display unit 203 is configured to display the at least one test question.

In this embodiment, specific processing of the obtaining unit 201, the determining unit 202, and the displaying unit 203 of the information processing apparatus and technical effects thereof can refer to related descriptions of step 101, step 102, and step 103 in the corresponding embodiment of fig. 1, which are not described herein again.

In some optional implementations of the present embodiment, the obtaining unit 201 is further configured to: extracting subtitles of the target video; and generating the text information according to the subtitles.

In some optional implementations of this embodiment, the obtaining unit 201 is further configured to: identifying characters displayed in the target video picture by using an optical character recognition method; and determining the subtitle of the target video according to the characters identified by using the optical characters.

In some optional implementations of the present embodiment, the determining unit 202 is further configured to: identifying at least one knowledge point comprised by the text information: and matching the at least one knowledge point with a preset question bank, and determining the at least one test question according to a matching result.

In some optional implementations of this embodiment, the knowledge points include at least one of: words, phrases, grammars.

In some optional implementations of the present embodiment, the determining unit 202 is further configured to: determining a target knowledge point from the at least one knowledge point according to the information of the user to be tested; the target knowledge point is matched with a preset question bank, at least one target test question is determined according to a matching result, and the display unit 203 is further used for: and displaying the at least one target test question. Wherein, the information of the user to be tested comprises at least one of the following items: age, occupation, learning stage, test purpose, difficulty level of the user.

In some optional implementations of the present embodiment, the determining unit 202 is further configured to: for each knowledge point, determining the correlation degree of the knowledge point and each test question in a preset question bank; and determining at least one test question corresponding to the knowledge point based on the relevancy.

Referring to fig. 3, fig. 3 illustrates an exemplary system architecture to which the information processing method of one embodiment of the present disclosure may be applied.

As shown in fig. 3, the system architecture may include

terminal devices

301, 302, 303, a network 304, and a server 305. The network 304 serves as a medium for providing communication links between the

terminal devices

301, 302, 303 and the server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The

terminal devices

301, 302, 303 may interact with a server 305 over a network 304 to receive or send messages or the like. The

terminal devices

301, 302, 303 may have various client applications installed thereon, such as a web browser application, a search-type application, a news-information-type application, and a house-source information browsing-type application. The client application in the

terminal device

301, 302, 303 may receive the instruction of the user, and complete a corresponding function according to the instruction of the user, for example, send an information acquisition request to the server according to the instruction of the user.

The

terminal devices

301, 302, 303 may be hardware or software. When the

terminal devices

301, 302, 303 are hardware, they may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like. When the

terminal device

301, 302, 303 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.

The server 305 may be a server that provides various services, for example, receives information of a target video transmitted by the

terminal apparatuses

301, 302, 303, performs analysis processing on the target video, and transmits the analysis processing result to the

terminal apparatuses

301, 302, 303.

It should be noted that the information processing method provided by the embodiment of the present disclosure may be executed by the server 305, and accordingly, the information processing apparatus may be disposed in the server 305.

It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to fig. 4, shown is a schematic diagram of an electronic device (e.g., a terminal device or a server of fig. 3) suitable for use in implementing embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 4, the electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 illustrates an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring text information corresponding to a target video; determining at least one test question for checking a knowledge point included in the target video based on the text information; and displaying the at least one test question.

Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. The name of the unit does not form a limitation on the unit itself in some cases, for example, the determining unit may also be described as a unit that determines the target first user from more than two candidate first users according to the precedence order of the acquisition request.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. An information processing method characterized by comprising:

acquiring text information corresponding to a target video;

determining at least one test question for checking a knowledge point included in the target video based on the text information;

and displaying the at least one test question.

2. The method according to claim 1, wherein the obtaining text information corresponding to the target video comprises:

extracting subtitles of the target video;

and generating the text information according to the subtitles.

3. The method of claim 2, wherein the extracting subtitles of the target video comprises:

identifying characters displayed in the target video picture by using an optical character recognition method;

and determining the subtitle of the target video according to the characters identified by using the optical characters.

4. The method of claim 1, wherein the determining at least one test question for checking knowledge points included in the target video based on the text information comprises:

identifying at least one knowledge point included in the text information;

and matching the at least one knowledge point with a preset question bank, and determining the at least one test question according to a matching result.

5. The method of claim 1, wherein the knowledge points comprise at least one of: words, phrases, grammars.

6. The method of claim 4, wherein the identifying at least one knowledge point included in the textual information comprises:

determining a target knowledge point from the at least one knowledge point according to the information of the user to be tested; and

the matching the at least one knowledge point with a preset question bank and determining the at least one test question according to a matching result comprises the following steps:

matching the target knowledge points with a preset question bank, and determining at least one target test question according to a matching result; and

the presenting the at least one test question comprises:

displaying the at least one target test question;

wherein the information of the user to be tested comprises at least one of the following items: age, occupation, learning stage, test purpose, difficulty level of the user.

7. The method of claim 4, wherein said matching said at least one knowledge point with a predetermined question bank and determining said at least one test question according to the matching result comprises:

for each knowledge point, determining the correlation degree of the knowledge point and each test question in a preset question bank;

and determining at least one test question corresponding to the knowledge point based on the relevancy.

8. An information processing apparatus characterized by comprising:

the acquisition unit is used for acquiring text information corresponding to the target video;

a determination unit configured to determine at least one test question for checking a knowledge point included in the target video based on the text information;

and the display unit is used for displaying the at least one test question.

9. The apparatus of claim 8, wherein the obtaining unit is further configured to:

extracting subtitles of the target video;

and generating the text information according to the subtitles.

10. The apparatus of claim 9, wherein the obtaining unit is further configured to:

11. The apparatus of claim 8, wherein the determining unit is further configured to:

identifying at least one knowledge point comprised by the text information:

12. The apparatus of claim 8, wherein the knowledge points comprise at least one of: words, phrases, grammars.

13. The apparatus of claim 11, wherein the determining unit is further configured to:

determining a target knowledge point from the at least one knowledge point according to the information of the user to be tested;

the presentation unit is further configured to:

displaying the at least one target test question;

14. The apparatus of claim 11, wherein the determining unit is further configured to:

15. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

16. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.