CN112017487A - Flat Flash learning system based on artificial intelligence - Google Patents
Flat Flash learning system based on artificial intelligence Download PDFInfo
- Publication number
- CN112017487A CN112017487A CN201910457234.1A CN201910457234A CN112017487A CN 112017487 A CN112017487 A CN 112017487A CN 201910457234 A CN201910457234 A CN 201910457234A CN 112017487 A CN112017487 A CN 112017487A
- Authority
- CN
- China
- Prior art keywords
- flash animation
- flash
- library
- learning
- virtual robot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 9
- 238000012549 training Methods 0.000 claims abstract description 18
- 230000003993 interaction Effects 0.000 claims description 14
- 238000012552 review Methods 0.000 claims description 4
- 238000005096 rolling process Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 10
- 230000008569 process Effects 0.000 abstract description 8
- 230000000694 effects Effects 0.000 abstract description 5
- 230000002708 enhancing effect Effects 0.000 abstract 1
- 241000287828 Gallus gallus Species 0.000 description 9
- 230000009191 jumping Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 241001672694 Citrus reticulata Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
- G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
- G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/063—Training
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Computational Linguistics (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention provides a flat Flash learning system based on artificial intelligence, which comprises the following program modules: a voice input unit; a speech training model unit; a text instruction unit; a processing center; a virtual robot; a local Flash animation library; a background Flash animation library; and a personalized Flash animation library; and the virtual robot calls out a Flash animation file matched with the text instruction from a local Flash animation library, a background Flash animation library or an individualized Flash animation library and plays the Flash animation file. The method can enable students to search the meaning information of words, phrases and sentences at any time in the learning process and play Flash animation files matched with the meanings of the words, phrases and sentences, thereby enhancing the learning effect.
Description
Technical Field
The invention relates to image recognition and data processing, in particular to a flat Flash learning system.
Background
The application field of speech recognition is very wide, and common application systems are: compared with a keyboard input method, the voice input system is more in line with the daily habits of people, and is more natural and more efficient; the voice control system, namely the operation of the equipment is controlled by voice, so that the voice control system is quicker and more convenient compared with manual control, and words or words can not be written or the words do not know what the meaning when students learn.
Flash is an interactive animation design tool, which can fuse music, sound effect, animation and rich-idea interfaces together, and can enable some abstract nouns or things to be vividly presented to students to help the students understand and learn.
Currently, more and more students study through tablet learning terminals, that is, tablet computers loaded with teaching software or homework software. Aiming at the problems that when students understand words and names of things on a tablet learning terminal, multimedia teaching of schools or learning software and the like is conducted through a teacher to explain proper nouns or through a mode of being equipped with related pictures to explain, searching engines and the like, but pictures or animations equipped in the mode have the problems of single form and content and less materials; on one hand, the related content is also pre-stored in the system in advance through learning software and the like; on the other hand, the content provided by the search engine is too much, but is too miscellaneous, so that students can hardly find the content wanted by themselves from the content.
Disclosure of Invention
The invention aims to solve the technical problem that aiming at the defects in the prior art, the invention provides the flat Flash learning system based on artificial intelligence, which can enable students to search the meaning information of words and sentences at any time in the learning process and play Flash animation files matched with the meanings of the words and sentences, thereby improving the learning effect.
The technical scheme adopted by the invention for solving the technical problems is as follows: the utility model provides a dull and stereotyped Flash learning system based on artificial intelligence, includes following program module:
the voice input unit is used for collecting voices given by students;
the voice training model unit is used for recognizing the voices of the students provided by the voice input unit and converting the successfully recognized voices into texts, and comprises one or more voice training models;
the text instruction unit is used for generating a corresponding text instruction according to the text provided by the voice training model unit;
the processing center is used for extracting and analyzing the keywords, words and sentences from the text provided by the voice training model unit and the text instruction provided by the text instruction unit, and linking and controlling the text instruction;
the virtual robot is used for voice interaction with students and displaying a specific UI icon on an interface of the tablet learning terminal;
the local Flash animation library is used for storing Flash animation files which are prestored in advance according to the learning content of students;
the background Flash animation library is used for storing Flash animation files outside the system for the virtual robot to call; and
the personalized Flash animation library is used for storing Flash animation files which are selected and favored by students;
and the virtual robot calls out the Flash animation file matched with the text instruction from the local Flash animation library, the background Flash animation library or the personalized Flash animation library and plays the Flash animation file.
In some embodiments, the processing center includes an information storage unit in which the local Flash animation library and the personalized Flash animation library are stored.
In some embodiments, the virtual robot displays a specific UI icon in the virtual robot interaction area of the interface of the tablet learning terminal, and the student clicks the UI icon to perform voice entry and question input of strange words and sentences.
In some embodiments, the student clicks on the UI icon, which may be animated according to the trajectory of the hand-touch screen sliding.
In some embodiments, the virtual robot preferentially traverses the local Flash animation library.
In some embodiments, when the virtual robot traverses the local Flash animation library and cannot call a Flash animation file matched with a text instruction, the virtual robot goes to the background Flash animation library to perform script matching of big data.
In some embodiments, when script matching of big data is performed, if one or more Flash animation script files are matched, rolling playing of a certain number of Flash animation files is performed; and if the information is not traversed, feeding back the abnormal feedback information to an interface of the tablet learning terminal.
In some embodiments, the virtual robot periodically pushes the Flash animation file in the personalized Flash animation library to an interface of a tablet learning terminal for review by students.
In some embodiments, the text instructions contain word and sentence information proposed by the student; the Flash animation file matched with the text instruction is associated with the word and sentence information.
In some embodiments, the interface of the tablet learning terminal includes: the system comprises a learning content area, a virtual robot interaction area, a local Flash animation library area and a Flash animation display area.
The invention has the advantages that the smart matching of the voice input unit, the voice training model unit, the text instruction unit, the processing center, the virtual robot, the local Flash animation library, the background Flash animation library and the personalized Flash animation library can enable students to search the meaning information of words and sentences and play Flash animation files matched with the meanings of the words and sentences at any time in the learning process, thereby improving the learning effect.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 illustrates a framework structure of the tablet Flash learning system based on artificial intelligence of the present invention.
FIG. 2 illustrates a learning process using the flat Flash learning system of the present invention.
FIG. 3 illustrates an example interface for a learning page of the present invention.
Wherein the reference numerals are as follows: 100. the system comprises a learning system 10, a voice input unit 20, a voice training model unit 30, a text instruction unit 40, a processing center 50, a virtual robot 60, a local Flash animation library 70, a background Flash animation library 80, a personalized Flash animation library 90, a flat learning terminal 91, a microphone 93, an interface 931, a learning content area 932, a virtual robot interaction area 933, a local Flash animation library area 934 and a Flash animation display area.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 illustrates a framework structure of a tablet Flash learning system based on artificial intelligence according to the present invention. The invention provides a tablet Flash learning system 100 based on artificial intelligence, which relies on hardware devices such as a tablet learning terminal 90 and a server. The tablet learning terminal 90 may be a computing device such as a tablet computer, a learning display device with a touch display screen, or the like, capable of hosting the tablet Flash learning system 100 of the present invention. The tablet learning terminal 90 has a microphone 91, and is capable of voice input; the tablet learning terminal 90 has a speaker and can output a voice. The tablet learning terminal 90 has a processor that runs the relevant program modules of the tablet Flash learning system 100. The flat Flash learning system 100 is a software system that includes the following program modules: the system comprises a voice input unit 10, a voice training model unit 20, a text instruction unit 30, a processing center 40, a virtual robot 50, a local Flash animation library 60, a background Flash animation library 70 and a personalized Flash animation library 80.
The voice input unit 10 is used for collecting voices given by students by means of a microphone 91. When a student encounters words and sentences which are difficult to understand and needs to perform system query, the student does not need to perform handwriting operation and only needs to send out a corresponding voice instruction.
And the voice training model unit 20 is used for recognizing the voices of the students provided by the voice input unit 10 and converting the successfully recognized voices into texts. The speech training model unit 20 includes one or more speech training models that enable speech recognition of the student's speech (mandarin or even dialect).
And the text instruction unit 30 is configured to generate a corresponding text instruction according to the text provided by the speech training model unit 20. The text instruction contains word and sentence information provided by the student.
And the processing center 40 is used for extracting and analyzing keyword words and sentences and linking and controlling the text instructions provided by the text instruction unit 30 and the text provided by the voice training model unit 20. The processing center 40 specifically includes an information storage unit, a communication unit, a calculation processing unit, and the like.
And the virtual robot 50 is used for carrying out voice interaction with students. The virtual robot 50 presents a specific UI icon in the virtual robot interaction area 932 of the interface 93 of the tablet learning terminal 90. The virtual robot calls out the Flash animation file matched with the text instruction from the local Flash animation library 60, the background Flash animation library 70 or the personalized Flash animation library 80 and plays the Flash animation file. It can be understood that the Flash animation file matched with the text instruction means that the Flash animation file is associated with word and sentence information in the student voice.
Specifically, the student clicks the UI icon of the virtual robot interaction area 932, and then performs voice input, and performs question input of strange words and phrases to the system 100. The student clicks the UI icon of the virtual robot interaction area 932, and the UI icon of the virtual robot 50 can perform animation demonstration according to the sliding trajectory of the hand-touch screen, and present animation of different instructions. After the system 100 successfully identifies the student voice, the system can traverse the script parameters of the Flash animation file corresponding to the keyword words and sentences.
And the local Flash animation library 60 is used for storing Flash animation files prestored in advance according to the learning content of the students. Specifically, the local Flash animation library 60 contains several Flash animation files specifically created for words and phrases in student content. These Flash animation files are stored in an information storage unit of the processing center 40, for example.
And the background Flash animation library 70 is used for storing Flash animation files outside the system (public resources of the external network) for being called by the virtual robot 50. Specifically, when the local Flash animation library 60 of the system 100 cannot traverse the corresponding information, the communication unit (having WIFI, bluetooth or lan communication function) of the processing center 40 is used to traverse the database in the external server, that is: a background Flash animation library 70.
The personalized Flash animation library 80 is used for selecting a most understandable Flash animation file from objects selected by the student according to self understanding when the student systematically inquires words and sentences which are difficult to understand, and storing the Flash animation file. Namely, the Flash animation file is used for storing the Flash animation file which is selected by the student and has a good clock feeling. It will be appreciated that personalized Flash animation library 80 includes several Flash animations, each of which is a result of a selection personalized by the student. Personalized Flash animation library 80 is a subset of local Flash animation library 60. For example, the personalized Flash animation library 80 is stored in an information storage unit of the processing center 40.
Referring to fig. 2, fig. 2 illustrates a learning process using the flat Flash learning system of the present invention. The process generally comprises the steps of:
s210, when the student encounters unfamiliar words or things in the learning process, the student can click the UI icon of the virtual robot to seek help through voice.
And S220, the voice of the student entering through the microphone is subjected to feature acquisition by the voice input unit, and is transmitted to the voice training model unit of the system for recognition, and the text instruction unit generates a corresponding text instruction.
And S230, the processing center stores the text generated by the voice recognition, and performs traversal code binding with the key words in the script of the local Flash animation library.
S240, the virtual robot judges whether the processing center can traverse to a position matched with the text instruction in the local Flash animation library; if yes, go to step S250, otherwise go to step S270.
And S250, calling the related Flash animation file by the virtual robot to play.
And S260, selecting an animation suitable for self understanding from related Flash animation files by the students, storing the animation into a personalized Flash animation library belonging to the students, and pushing and reviewing the animation regularly by the virtual robot.
And S270, the virtual robot goes to a background Flash animation library to perform script matching of big data.
S280, the virtual robot performs rolling play on a certain number of Flash animation files if one or more Flash animation files are matched in a background Flash animation library; and if the virtual robot does not traverse to the interface of the flat learning terminal, the virtual robot feeds back the feedback information for identifying the abnormity to the interface of the flat learning terminal.
The flat Flash learning system of the present invention will be described in more detail with reference to examples.
Referring to FIG. 3, FIG. 3 illustrates an example interface of a learning page of the present invention. When a student learns in the learning content area 931 of the interface 93 of the tablet learning terminal interface 90, the student does not know what the student means when the student encounters the idiom "chicken dog jumping".
At this time, the student can click the UI icon of the virtual robot in the virtual robot interaction area 932, and then perform voice input of "chicken dog jumping"; then, after the speech recognition is successful, the system 100 can obtain a text of "chicken dog jumping" and obtain a corresponding text instruction. The text instruction contains word and sentence information (e.g., "chicken dog jump") that the student proposed.
Then, the system 100 traverses the script files in the local Flash animation library 60, and if the matched Flash animation files can be obtained, the matched Flash animation files are placed in the local Flash animation library region 933. The Flash animation file matched with the text instruction refers to the Flash animation file associated with the word sentence (such as 'chicken dog jump'), such as: a Flash animation is shown where the chicken flies and the dog jumps up.
If not, the system 100 continues to traverse the cloud database, i.e., the background Flash animation library 70, through the extranet cloud server. If matched Flash animation files can be obtained, the matched Flash animation files are placed in a local Flash animation library region 933.
For example, one default system criterion for determining whether a Flash animation file matches a text instruction is: a similarity threshold of 80%. In addition, the system 100 has a system preset number of the obtained matched Flash animation files, such as: 4, the number of the channels is 4; once this number is reached, the system 100 does not proceed with subsequent traversals.
The system 100 displays 4 Flash animations 9341, 9342, 9343, and 9343 associated with "chicken dog jump" in the Flash animation display area 934. Then, the student selects one Flash animation 9342 that can be understood by the student from among the 4 Flash animations 9341, 9342, 9343, and confirms. Virtual robot 50 may then associate Flash animation 9342 with "chicken dog jump" and store it in processing center 40, i.e.: the Flash animation 9342 is saved to the personalized Flash animation library 80.
Further, the system 100 may set the time intervals to be, for example: one day or one week, the virtual robot 50 regularly pushes Flash animation 9342 of the idiom "chicken and dog jumping" to the interface 93 of the tablet learning terminal 90 for the students to review the idioms.
Compared with the prior art, the flat Flash learning system 100 has the beneficial effects that:
1. by adopting voice recognition, the keywords, words and sentences provided by students are recognized and converted into text instructions to control the operation of the learning system, and the interaction between the students and the system is facilitated.
2. After a student speaks a strange word and sentence, the student automatically and timely calls the corresponding Flash animation from the in-system or out-network cloud server for feedback, and the interest of learning can be increased.
3. The voice interaction between students and the system and the feedback of learning information are achieved through the virtual robot; by presetting a certain animation script relevance and a presentation quantity threshold value by the system, the virtual robot presents all relevant Flash animation files of the keywords, words and sentences of the students in relevant areas of an interface of the tablet learning terminal, so that the learning effect can be enhanced.
4. By allowing students to select an animation file suitable for self understanding from Flash animation files presented by the virtual robot, storing the animation file into a personalized Flash animation library belonging to the students and regularly pushing the files by the virtual robot, review is facilitated.
In summary, the flat Flash learning system 100 of the present invention enables students to search meaning information of words and phrases at any time during the learning process, and to call and present information of Flash animations of names or things such as words and phrases proposed by the students in time, so that the students can better understand the learning content.
It should be understood that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same, and those skilled in the art can modify the technical solutions described in the above embodiments, or make equivalent substitutions for some technical features; and such modifications and substitutions are intended to be included within the scope of the appended claims.
Claims (10)
1. The tablet Flash learning system based on artificial intelligence is characterized by comprising the following program modules:
the voice input unit is used for collecting voices given by students;
the voice training model unit is used for recognizing the voices of the students provided by the voice input unit and converting the successfully recognized voices into texts, and comprises one or more voice training models;
the text instruction unit is used for generating a corresponding text instruction according to the text provided by the voice training model unit;
the processing center is used for extracting and analyzing the keywords, words and sentences from the text provided by the voice training model unit and the text instruction provided by the text instruction unit, and linking and controlling the text instruction;
the virtual robot is used for voice interaction with students and displaying a specific UI icon on an interface of the tablet learning terminal;
the local Flash animation library is used for storing Flash animation files which are prestored in advance according to the learning content of students;
the background Flash animation library is used for storing Flash animation files outside the system for the virtual robot to call; and
the personalized Flash animation library is used for storing Flash animation files which are selected and favored by students;
and the virtual robot calls out the Flash animation file matched with the text instruction from the local Flash animation library, the background Flash animation library or the personalized Flash animation library and plays the Flash animation file.
2. The flat Flash learning system of claim 1, wherein: the processing center comprises an information storage unit, and the local Flash animation library and the personalized Flash animation library are stored in the information storage unit.
3. The flat Flash learning system of claim 1, wherein: the virtual robot displays a specific UI icon in a virtual robot interaction area of an interface of the tablet learning terminal, and students can perform voice input and problem input of strange words and sentences by clicking the UI icon.
4. The flat Flash learning system of claim 1, wherein: the student clicks the UI icon, and the UI icon can be subjected to animation demonstration according to the sliding track of the hand-touch screen.
5. The flat Flash learning system of claim 1, wherein: the virtual robot preferentially traverses the local Flash animation library.
6. The flat Flash learning system of claim 5, wherein: and when traversing the local Flash animation library and being incapable of calling the Flash animation file matched with the text instruction, the virtual robot goes to the background Flash animation library to perform script matching of big data.
7. The flat Flash learning system of claim 6, wherein: when the script of big data is matched, if one or more Flash animation script files are matched, rolling playing of a certain number of Flash animation files is carried out; and if the information is not traversed, feeding back the abnormal feedback information to an interface of the tablet learning terminal.
8. The flat Flash learning system of claim 1, wherein: the virtual robot regularly pushes the Flash animation files in the personalized Flash animation library to an interface of a tablet learning terminal for review by students.
9. The flat Flash learning system according to any of claims 1 to 8, wherein: the text instruction comprises word and sentence information provided by students; the Flash animation file matched with the text instruction is associated with the word and sentence information.
10. The flat Flash learning system according to any of claims 1 to 8, wherein: the interface of the tablet learning terminal comprises: the system comprises a learning content area, a virtual robot interaction area, a local Flash animation library area and a Flash animation display area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457234.1A CN112017487A (en) | 2019-05-29 | 2019-05-29 | Flat Flash learning system based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910457234.1A CN112017487A (en) | 2019-05-29 | 2019-05-29 | Flat Flash learning system based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112017487A true CN112017487A (en) | 2020-12-01 |
Family
ID=73501474
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910457234.1A Pending CN112017487A (en) | 2019-05-29 | 2019-05-29 | Flat Flash learning system based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112017487A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114173191A (en) * | 2021-12-09 | 2022-03-11 | 上海开放大学 | Multi-language question answering method and system based on artificial intelligence |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102650960A (en) * | 2012-03-31 | 2012-08-29 | 奇智软件（北京）有限公司 | Method and device for eliminating faults of terminal equipment |
| CN202771642U (en) * | 2012-08-27 | 2013-03-06 | 步步高教育电子有限公司 | Learning machine and learning system |
| CN105611383A (en) * | 2014-11-18 | 2016-05-25 | 三星电子株式会社 | Broadcasting receiving apparatus and control method thereof |
| CN106648535A (en) * | 2016-12-28 | 2017-05-10 | 广州虎牙信息科技有限公司 | Live client voice input method and terminal device |
| CN108885614A (en) * | 2017-02-06 | 2018-11-23 | 华为技术有限公司 | A kind of processing method and terminal of text and voice messaging |
| CN109255130A (en) * | 2018-07-17 | 2019-01-22 | 北京赛思美科技术有限公司 | A kind of method, system and the equipment of language translation and study based on artificial intelligence |
-
2019
- 2019-05-29 CN CN201910457234.1A patent/CN112017487A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102650960A (en) * | 2012-03-31 | 2012-08-29 | 奇智软件（北京）有限公司 | Method and device for eliminating faults of terminal equipment |
| CN202771642U (en) * | 2012-08-27 | 2013-03-06 | 步步高教育电子有限公司 | Learning machine and learning system |
| CN105611383A (en) * | 2014-11-18 | 2016-05-25 | 三星电子株式会社 | Broadcasting receiving apparatus and control method thereof |
| CN106648535A (en) * | 2016-12-28 | 2017-05-10 | 广州虎牙信息科技有限公司 | Live client voice input method and terminal device |
| CN108885614A (en) * | 2017-02-06 | 2018-11-23 | 华为技术有限公司 | A kind of processing method and terminal of text and voice messaging |
| CN109255130A (en) * | 2018-07-17 | 2019-01-22 | 北京赛思美科技术有限公司 | A kind of method, system and the equipment of language translation and study based on artificial intelligence |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114173191A (en) * | 2021-12-09 | 2022-03-11 | 上海开放大学 | Multi-language question answering method and system based on artificial intelligence |
| CN114173191B (en) * | 2021-12-09 | 2024-03-19 | 上海开放大学 | Multi-language answering method and system based on artificial intelligence |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10249207B2 (en) | Educational teaching system and method utilizing interactive avatars with learning manager and authoring manager functions | |
| CN107210035B (en) | Generation of language understanding systems and methods | |
| US7627466B2 (en) | Natural language interface for driving adaptive scenarios | |
| US8156060B2 (en) | Systems and methods for generating and implementing an interactive man-machine web interface based on natural language processing and avatar virtual agent based character | |
| RU2607416C2 (en) | Crowd-sourcing vocabulary teaching systems | |
| US20180130496A1 (en) | Method and system for auto-generation of sketch notes-based visual summary of multimedia content | |
| CN117194609A (en) | Providing command bundle suggestions for automated assistants | |
| CN111737411A (en) | Response method in man-machine conversation, conversation system and storage medium | |
| CN115082602B (en) | Method for generating digital person, training method, training device, training equipment and training medium for model | |
| KR20200032893A (en) | Communication information processing system for chat bot service and control method thereof | |
| CN114254158B (en) | Video generation method and device, and neural network training method and device | |
| US20230177878A1 (en) | Systems and methods for learning videos and assessments in different languages | |
| US11790697B1 (en) | Systems for and methods of creating a library of facial expressions | |
| CN116541493A (en) | Interactive response method, device, equipment and storage medium based on intention recognition | |
| CN116521841A (en) | Method, device, equipment and medium for generating reply information | |
| CN110059224B (en) | Video retrieval method, device and equipment of projector equipment and storage medium | |
| CN111933128B (en) | Method and device for processing question bank of questionnaire and electronic equipment | |
| US20080243510A1 (en) | Overlapping screen reading of non-sequential text | |
| Skidmore | Incremental disfluency detection for spoken learner english | |
| KR20200032873A (en) | Parsing system for chat bot service based on book information and control method thereof | |
| CN111158648B (en) | Interactive help system development method based on live-action semantic understanding and platform thereof | |
| CN111324626B (en) | Search method and device based on voice recognition, computer equipment and storage medium | |
| CN110297965B (en) | Courseware page display and page set construction method, device, equipment and medium | |
| CN117193582A (en) | Interactive control method and system and electronic equipment | |
| CN117009113A (en) | Method and device for calling artificial intelligent model, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201201 |