CN112200898A - Course display method for education robot - Google Patents

Course display method for education robot Download PDF

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Publication number
CN112200898A
CN112200898A CN202011166772.4A CN202011166772A CN112200898A CN 112200898 A CN112200898 A CN 112200898A CN 202011166772 A CN202011166772 A CN 202011166772A CN 112200898 A CN112200898 A CN 112200898A
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words
course
displayed
speech
semantic
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张平
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Xiamen Chengxin Zhichuang Technology Service Co ltd
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Pingtan Chengxin Zhichuang Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00Animation
    • G06T13/802D [Two Dimensional] animation, e.g. using sprites
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/289Phrasal analysis, e.g. finite state techniques or chunking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/60Editing figures and text; Combining figures or text

Abstract

The invention discloses a course display method of an educational robot, which comprises the following steps: the education robot displays courses, identifies the displayed courses in real time, acquires keywords related to the displayed courses, and extracts semantic words and part-of-speech words from the keywords related to the displayed courses; the semantic words represent words with specific semantic meanings, the part-of-speech words represent connecting words connected with the semantic words, material packets matched with the extracted semantic words and the part-of-speech words are configured, display animations of the current course content are generated according to the matched material packets, and the current course content and the display animations corresponding to the current course content are displayed synchronously through a display screen. By the aid of the mode, the teaching robot can generate the display animation of the current course content in real time in the course of displaying the courseware, so that a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.

Description

Course display method for education robot
Technical Field
The invention relates to the technical field of educational robots, in particular to a course display method of an educational robot.
Background
The teaching robot is designed, assembled, programmed and operated to stimulate the learning interest of students and train the comprehensive ability of the students. The educational robot integrates a plurality of advanced technologies such as mechanical principle, electronic sensor, computer software and hardware, artificial intelligence and the like, and carries a new mission for the cultivation of student ability and quality.
The teaching robot integrates multiple advanced technologies, adds new vitality to the information technology courses of primary and middle schools by introducing teaching of the teaching robot, and becomes an excellent platform for cultivating comprehensive ability and information literacy of primary and middle schools.
However, in the existing course display scheme for the educational robot, the course displayed by the educational robot is generally a recorded courseware such as a video and a PPT (Microsoft Office PowerPoint, a presentation designed by Microsoft corporation), or is an online live-broadcast courseware, and the content form of the displayed course is similar to that of a general teaching, so that it is impossible to realize that the educational robot can generate a display animation of the current course content in real time in the course of displaying the courseware, and it is impossible to realize that a user can intuitively know the content of the course through the displayed animation, and the teaching effect is general.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a course displaying method for an educational robot, which can enable the educational robot to generate a displaying animation of current course content in real time during a course displaying process, so that a user can intuitively know the course content through the displayed animation, and a teaching effect can be effectively improved.
According to an aspect of the present invention, there is provided a course display method of an educational robot, comprising: the education robot displays courses; identifying the displayed courses in real time to obtain keywords related to the displayed courses; extracting semantic words and part-of-speech words from the keywords related to the displayed courses; the semantic words represent words with specific semantic meanings, and the part-of-speech words represent conjunction words connecting the semantic words; configuring matched material packets for the extracted semantic words and part-of-speech words; generating a display animation of the current course content according to the configured matched material packet; and synchronously displaying the current course content and the display animation corresponding to the current course content through a display screen.
Wherein, the education robot is right the course of show carries out real-time identification, acquires the relevance the keyword of the course of show includes: the teaching robot identifies the displayed course in real time, identifies text information with part of speech marks in the displayed course in real time, classifies the words with the part of speech marks in the text information according to the part of speech types, normalizes the words after the part of speech types are classified, enables the meanings of the words after the normalization processing and the same part of speech types tend to be consistent, and obtains keywords related to the displayed course from the words after the normalization processing.
Wherein, the education robot is right the course of show carries out real-time identification, recognizes in real time the text information that has part of speech mark in the course of show includes: the education robot right the course of show carries out synchronous pronunciation real-time identification and characters real-time identification, follows real-time identification in the pronunciation real-time identification have the pronunciation text message of part of speech mark in the course of show, follow real-time identification in the characters real-time identification have the characters text message of part of speech mark in the course of show, press the matching time of pronunciation and characters in the course of show, it is right pronunciation text message with characters text message adopts the mode of time matching and semantic matching, real-time identification have the text message of part of speech mark in the course of show.
The education robot extracts semantic words and part-of-speech words from the keywords related to the displayed courses; wherein the semantic words represent words with specific semantic meanings, the part of speech words represent conjunction words connecting the semantic words, and the method comprises the following steps: the education robot adopts a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extracts semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; the semantic words represent words with specific semantic meanings, and the part of speech words represent conjunction words connecting the semantic words.
The education robot adopts a natural language processing mode and the appearance time of the keywords based on the displayed course, and extracts semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; wherein the semantic words represent words with specific semantic meanings, the part of speech words represent conjunction words connecting the semantic words, and the method comprises the following steps: the education robot adopts a natural language processing mode and the appearance time of the keywords of the displayed course, the keywords of the displayed course are input into a first cyclic neural network according to the time sequence, the keywords of the displayed course are input into a second cyclic neural network according to the reverse time sequence of the time sequence, a first word model of the keywords of the displayed course is obtained through the training of the first cyclic neural network, a second word model of the keywords of the displayed course is obtained through the training of the second cyclic neural network, and semantic words and part-of-speech words are extracted from the keywords related to the displayed course on the basis of the first word module and the second word module and in combination with the context relationship of the position of the keywords related to the displayed course; the semantic words represent words with specific semantic meanings, and the part of speech words represent conjunction words connecting the semantic words.
The educational robot configures a matched material bag for the extracted semantic words and the part of speech words, and the method comprises the following steps: the education robot stores preset materials in a preset material library, sets a mapping relation between information of semantic words and part-of-speech words and the materials in the material library, and configures matched material packets for the extracted semantic words and part-of-speech words from the material library according to the mapping relation.
The education robot stores preset materials in a preset material library, sets mapping relations between information of semantic words and part-of-speech words and the materials in the material library, and configures matched material packages for the extracted semantic words and part-of-speech words from the material library according to the mapping relations, and the method comprises the following steps: the education robot stores preset materials in a preset material library, sets mapping relations between information of semantic words and part-of-speech words and the materials in the material library, and configures material packages matched with a master of a displayed course for the extracted semantic words and part-of-speech words in the material library based on the theme of the displayed course according to the mapping relations.
Wherein, the educational robot generates the display animation of the current course content according to the material package matched with the configuration, and the method comprises the following steps: and the educational robot carries out animation editing on the material packet matched with the configuration, draws the animation content of the material packet subjected to the animation editing, and generates the display animation of the current course content according to the drawn animation content.
Wherein, educational machine people passes through the synchronous show of display screen present course content with correspond the show animation of present course content includes: education robot divides the display screen into first display area and second display area, right first display area distributes and shows the authority of current course content, right the second display area distributes and shows and corresponds the show animation of current course content, through first display area with the synchronous show of second display area current course content with correspond the show animation of current course content.
Wherein, after the educational robot synchronously shows the current course content and the showing animation corresponding to the current course content through the display screen, the method further comprises: and the educational robot captures the current course content synchronously displayed and the display animation corresponding to the current course content.
According to another aspect of the present invention, there is provided a computer apparatus comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of educational robot course presentation as claimed in any one of the above.
According to still another aspect of the present invention, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements the course presentation method for an educational robot as set forth in any one of the above.
It can be found that, according to the scheme, the education robot can display courses, can identify the displayed courses in real time, acquire keywords related to the displayed courses, and can extract semantic words and part-of-speech words from the keywords related to the displayed courses; the teaching robot comprises a display screen, a semantic word, a part-of-speech word and a part-of-speech word, wherein the semantic word represents words with specific semantic meanings, the part-of-speech word represents a connecting word connected with the semantic word, the extracted semantic word can be configured with a material package matched with the part-of-speech word, a display animation of the current course content can be generated according to the material package matched with the configuration, the current course content and the display animation corresponding to the current course content can be synchronously displayed through the display screen, the display animation of the current course content can be generated in real time in the course displaying process of the courseware by the teaching robot, a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Further, according to the above scheme, the education robot can recognize the displayed course in real time, recognize the text information with the part of speech marks in the displayed course in real time, classify the words with the part of speech marks in the text information in part of speech types, and perform normalization processing on the words after the part of speech types are classified, so that the meaning of the words after the normalization processing and classified with the same part of speech types tend to be consistent, and obtain the keywords related to the displayed course from the words after the normalization processing, so that the education robot can improve the accuracy of the acquired keywords related to the displayed course.
Furthermore, according to the above scheme, the teaching robot can perform synchronous voice real-time recognition and character real-time recognition on the displayed course, recognize the voice text information with the part-of-speech tag in the displayed course in real time from the voice real-time recognition, recognize the character text information with the part-of-speech tag in the displayed course in real time from the character real-time recognition, and recognize the text information with the part-of-speech tag in the displayed course in real time by adopting a time matching and semantic matching mode for the voice text information and the character text information according to the matching time of the voice and the characters in the displayed course.
Furthermore, according to the scheme, the educational robot can adopt a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extract semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Further, according to the above scheme, the educational robot may adopt a natural language processing manner and the occurrence time of the keywords of the displayed course based on the displayed course, input the keywords of the displayed course to a first recurrent neural network in time sequence, input the keywords of the displayed course to a second recurrent neural network in time sequence reverse to the time sequence, train through the first recurrent neural network to obtain a first word model of the keywords of the displayed course, train through the second recurrent neural network to obtain a second word model of the keywords of the displayed course, extract semantic words and part-of-speech words from the keywords associated with the displayed course based on the first word module and the second word module and in combination with the context relationship of the position of the keywords associated with the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Furthermore, according to the scheme, the education robot can store preset materials in a preset material library, set the mapping relation between the information of the semantic words and the part-of-speech words and the materials in the material library, and configure matched material packages for the extracted semantic words and the part-of-speech words from the material library according to the mapping relation, so that the education robot can reduce the workload of configuring the matched material packages.
Furthermore, according to the above scheme, the education robot can store preset materials in a preset material library, set mapping relations between information of semantic words and part of speech words and the materials in the material library, and configure material packages matched with a master of the displayed course for the extracted semantic words and part of speech words from the material library based on the theme of the displayed course according to the mapping relations, so that the education robot can reduce the workload of configuring the matched material packages, and meanwhile, the configured matched material packages are matched with the theme of the displayed course.
Furthermore, according to the scheme, the education robot can perform animation editing on the material packet matched with the configuration, perform animation content drawing on the material packet subjected to animation editing, and generate the display animation of the current course content according to the drawn animation content.
Furthermore, according to the above scheme, the educational robot can divide the display screen into the first display area and the second display area, the right for displaying the current course content is distributed to the first display area, the display animation corresponding to the current course content is distributed to the second display area, and the current course content and the display animation corresponding to the current course content are synchronously displayed through the first display area and the second display area.
Furthermore, according to the scheme, the education robot can capture the current course content and the showing animation corresponding to the current course content which are synchronously shown, and the advantage that interesting or useful information can be timely stored by the education robot in a capture mode can be achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart illustrating a course displaying method of an educational robot according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart of a course displaying method of an educational robot according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of the computer apparatus of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be noted that the following examples are only illustrative of the present invention, and do not limit the scope of the present invention. Similarly, the following examples are only some but not all examples of the present invention, and all other examples obtained by those skilled in the art without any inventive work are within the scope of the present invention.
The invention provides a course display method of an education robot, which can realize that the education robot can generate the display animation of the current course content in real time in the course of displaying courseware, so that a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Referring to fig. 1, fig. 1 is a flowchart illustrating a course displaying method of an educational robot according to an embodiment of the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 1 if the results are substantially the same. As shown in fig. 1, the method comprises the steps of:
s101: and the education robot displays courses.
In this embodiment, the course displayed by the educational robot may be a pre-recorded course, or an online live-broadcast course, and the present invention is not limited thereto.
S102: the education robot identifies the displayed course in real time and obtains keywords relevant to the displayed course.
Wherein, this education robot carries out real-time identification to the course of this show, obtains the keyword of the course of relevant this show, can include:
the teaching robot identifies the displayed course in real time, identifies the text information with the part of speech marks in the displayed course in real time, classifies the words with the part of speech marks in the text information according to the part of speech types, and performs normalization processing on the words after the part of speech types are classified, so that the meaning of the words with the same part of speech types after the normalization processing tends to be consistent, and obtains the keywords related to the displayed course from the words after the normalization processing.
Wherein, this education robot carries out real-time identification to the course of this show, and the text information who has part of speech mark in the course of this show of real-time recognition can include:
the teaching robot carries out synchronous voice real-time recognition and character real-time recognition on the displayed course, the voice text information with the part of speech mark in the displayed course is recognized in real time from the voice real-time recognition, the character text information with the part of speech mark in the displayed course is recognized in real time from the character real-time recognition, the voice and character matching time in the displayed course is shortened, the voice text information and the character text information are matched in time and semantic, the text information with the part of speech mark in the displayed course is recognized in real time, and the teaching robot can improve the accuracy of the text information with the part of speech mark in the displayed course recognized in real time.
S103: the education robot extracts semantic words and part-of-speech words from the keywords related to the displayed course; wherein the semantic word represents a word with a specific semantic meaning, and the part-of-speech word represents an adapter word connecting the semantic word.
The education robot extracts semantic words and part-of-speech words from the keywords related to the displayed course; wherein, the semantic word represents a word with a specific semantic meaning, and the part of speech word represents a conjunction word connecting the semantic word, which may include:
the education robot adopts a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extracts semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
The education robot adopts a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extracts semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; wherein, the semantic word represents a word with a specific semantic meaning, and the part of speech word represents a conjunction word connecting the semantic word, which may include:
the education robot adopts a natural language processing mode and the appearance time of the keywords of the displayed course based on the time sequence, the keywords of the displayed course are input to a first cyclic neural network according to the time sequence, the keywords of the displayed course are input to a second cyclic neural network according to the reverse time sequence of the time sequence, a first word model of the keywords of the displayed course is obtained through the training of the first cyclic neural network, a second word model of the keywords of the displayed course is obtained through the training of the second cyclic neural network, and semantic words and part-of-speech words are extracted from the keywords of the displayed course based on the first word module and the second word module and in combination with the context relationship of the position of the keywords of the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
S104: the education robot configures matched material packets for the extracted semantic words and the part of speech words.
Wherein, the educational robot configures a matched material bag for the extracted semantic words and the part of speech words, which can include:
the education robot stores preset materials in a preset material library, sets the mapping relation between the information of the semantic words and the part-of-speech words and the materials in the material library, and configures matched material packages for the extracted semantic words and the part-of-speech words from the material library according to the mapping relation.
Wherein, this educational robot saves preset material in the material storehouse of presetting to set up the mapping relation of the information of semantic word, part of speech word and the material in this material storehouse, and according to this mapping relation, for this semantic word, the matched material package of part of speech word configuration that extract from this material storehouse, can include:
this education robot saves the material of predetermineeing in the material storehouse of presetting to set up the mapping relation of the information of semantic word, part of speech word and the material in this material storehouse, and according to this mapping relation, based on the theme of the course of this show, for the semantic word that should extract, the part of speech word configuration and the material package that the master of the course of this show matches in this material storehouse, such benefit can realize that this education robot can reduce the work load of the supporting material package of configuration, the supporting material package of this configuration again matches with the theme of the course of this show simultaneously.
S105: and the educational robot generates a display animation of the current course content according to the material packet matched with the configuration.
Wherein, the educational robot generates the display animation of the current course content according to the material package matched with the configuration, which may include:
the teaching robot carries out animation editing on the material packet matched with the configuration, carries out animation content drawing on the material packet subjected to animation editing, and generates the display animation of the current course content according to the drawn animation content.
S106: the educational robot synchronously displays the current course content and the display animation corresponding to the current course content through the display screen.
Wherein, this educational robot passes through the demonstration screen and shows this present course content and the show animation that corresponds this present course content in step, can include:
the teaching robot divides the display screen into a first display area and a second display area, the permission of displaying the current course content is distributed to the first display area, the display animation corresponding to the current course content is distributed to the second display area, the current course content and the display animation corresponding to the current course content are synchronously displayed through the first display area and the second display area, the teaching robot can generate the display animation of the current course content in real time in the course of displaying the courseware, a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Wherein, after the educational robot synchronously shows the current course content and the showing animation corresponding to the current course content through the display screen, it can further include:
the education robot captures the current course content synchronously displayed and the display animation corresponding to the current course content, and the education robot can save interesting or useful information in time in a capture mode.
It can be found that, in this embodiment, the educational robot may display a course, may perform real-time identification on the displayed course, obtain a keyword associated with the displayed course, and may extract a semantic word and a part-of-speech word from the keyword associated with the displayed course; the teaching robot comprises a display screen, a semantic word, a part-of-speech word and a part-of-speech word, wherein the semantic word represents words with specific semantic meanings, the part-of-speech word represents a connecting word connected with the semantic word, the extracted semantic word can be configured with a material package matched with the part-of-speech word, a display animation of the current course content can be generated according to the material package matched with the configuration, the current course content and the display animation corresponding to the current course content can be synchronously displayed through the display screen, the display animation of the current course content can be generated in real time in the course displaying process of the courseware by the teaching robot, a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Further, in this embodiment, the educational robot may recognize the displayed course in real time, recognize the text information with the part-of-speech tag in the displayed course in real time, classify the words with the part-of-speech tag in the text information by part-of-speech type, and normalize the words classified by part-of-speech type, so that the meaning of the words classified by the same part-of-speech type after normalization tends to be consistent, and obtain the keywords related to the displayed course from the words after normalization, which can improve the accuracy of the acquired keywords related to the displayed course by the educational robot.
Further, in this embodiment, the teaching robot can perform synchronous voice real-time recognition and real-time character recognition on the displayed course, recognize the voice text information with the part-of-speech tag in the displayed course in real time from the voice real-time recognition, recognize the character text information with the part-of-speech tag in the displayed course in real time from the real-time character recognition, and recognize the text information with the part-of-speech tag in the displayed course in real time by adopting a time matching and semantic matching mode for the voice text information and the character text information according to the matching time of the voice and the character in the displayed course.
Further, in this embodiment, the educational robot may extract semantic words and part-of-speech words from the keywords associated with the displayed course by using a natural language processing method and the occurrence time of the keywords based on the displayed course, and by combining the context of the position where the keywords associated with the displayed course are located; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Further, in this embodiment, the educational robot may adopt a natural language processing manner and the occurrence time of the keywords of the displayed course based on the time sequence, input the keywords of the displayed course to a first recurrent neural network, input the keywords of the displayed course to a second recurrent neural network according to the reverse time sequence of the time sequence, and obtain a first word model of the keywords of the displayed course through the training of the first recurrent neural network, obtain a second word model of the keywords of the displayed course through the training of the second recurrent neural network, extract semantic words and part-of-speech words from the keywords associated with the displayed course based on the first word module and the second word module and in combination with the context relationship of the position where the keywords associated with the displayed course are located; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Further, in this embodiment, the teaching robot may store preset materials in a preset material library, set a mapping relationship between information of semantic words and part-of-speech words and the materials in the material library, and configure a matched material package for the extracted semantic words and part-of-speech words from the material library according to the mapping relationship.
Further, in this embodiment, the educational robot may store the preset materials in a preset material library, and set the mapping relationship between the information of the semantic word and the part-of-speech word and the materials in the material library, and configure the material package matched with the master of the displayed course for the extracted semantic word and the part-of-speech word from the material library based on the theme of the displayed course according to the mapping relationship, so that the educational robot can reduce the workload of configuring the matched material package, and simultaneously the configured matched material package is matched with the theme of the displayed course.
Further, in this embodiment, the educational robot may perform animation editing on the material package matched with the configuration, perform animation content drawing on the material package subjected to animation editing, and generate the presentation animation of the current course content according to the drawn animation content, so that the educational robot can generate the presentation animation of the current course content in real time in the course of presenting the courseware.
Further, in this embodiment, the educational robot may divide the display screen into a first display area and a second display area, assign the right to display the current course content to the first display area, assign the display animation corresponding to the current course content to the second display area, synchronously display the current course content and the display animation corresponding to the current course content through the first display area and the second display area, which is beneficial to enabling the educational robot to generate the display animation of the current course content in real time in the course of displaying the courseware, so that the user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a course displaying method of an educational robot according to another embodiment of the present invention. In this embodiment, the method includes the steps of:
s201: and the education robot displays courses.
As described above in S101, further description is omitted here.
S202: the education robot identifies the displayed course in real time and obtains keywords relevant to the displayed course.
As described above in S102, further description is omitted here.
S203: the education robot extracts semantic words and part-of-speech words from the keywords related to the displayed course; wherein the semantic word represents a word with a specific semantic meaning, and the part-of-speech word represents an adapter word connecting the semantic word.
As described above in S103, which is not described herein.
S204: the education robot configures matched material packets for the extracted semantic words and the part of speech words.
As described above in S104, and will not be described herein.
S205: and the educational robot generates a display animation of the current course content according to the material packet matched with the configuration.
As described above in S105, which is not described herein.
S206: the educational robot synchronously displays the current course content and the display animation corresponding to the current course content through the display screen.
As described above in S106, and will not be described herein.
S207: and the educational robot captures the current course content synchronously displayed and the display animation corresponding to the current course content.
It can be found that, in this embodiment, the education robot can capture the current course content and the display animation corresponding to the current course content, which are displayed synchronously, so that the education robot can save interesting or useful information in time in a capture mode.
The present invention also provides a computer device, as shown in fig. 3, comprising: at least one processor 31; and a memory 32 communicatively coupled to the at least one processor 31; the memory 32 stores instructions executable by the at least one processor 31, and the instructions are executed by the at least one processor 31, so that the at least one processor 31 can execute the course displaying method of the educational robot.
Where the memory 32 and the processor 31 are coupled in a bus, the bus may comprise any number of interconnected buses and bridges, the buses coupling together one or more of the various circuits of the processor 31 and the memory 32. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 31 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 31.
The processor 31 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory 32 may be used to store data used by the processor 31 in performing operations.
The present invention also provides a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
It can be found that, according to the scheme, the education robot can display courses, can identify the displayed courses in real time, acquire keywords related to the displayed courses, and can extract semantic words and part-of-speech words from the keywords related to the displayed courses; the teaching robot comprises a display screen, a semantic word, a part-of-speech word and a part-of-speech word, wherein the semantic word represents words with specific semantic meanings, the part-of-speech word represents a connecting word connected with the semantic word, the extracted semantic word can be configured with a material package matched with the part-of-speech word, a display animation of the current course content can be generated according to the material package matched with the configuration, the current course content and the display animation corresponding to the current course content can be synchronously displayed through the display screen, the display animation of the current course content can be generated in real time in the course displaying process of the courseware by the teaching robot, a user can visually know the course content through the displayed animation, and the teaching effect can be effectively improved.
Further, according to the above scheme, the education robot can recognize the displayed course in real time, recognize the text information with the part of speech marks in the displayed course in real time, classify the words with the part of speech marks in the text information in part of speech types, and perform normalization processing on the words after the part of speech types are classified, so that the meaning of the words after the normalization processing and classified with the same part of speech types tend to be consistent, and obtain the keywords related to the displayed course from the words after the normalization processing, so that the education robot can improve the accuracy of the acquired keywords related to the displayed course.
Furthermore, according to the above scheme, the teaching robot can perform synchronous voice real-time recognition and character real-time recognition on the displayed course, recognize the voice text information with the part-of-speech tag in the displayed course in real time from the voice real-time recognition, recognize the character text information with the part-of-speech tag in the displayed course in real time from the character real-time recognition, and recognize the text information with the part-of-speech tag in the displayed course in real time by adopting a time matching and semantic matching mode for the voice text information and the character text information according to the matching time of the voice and the characters in the displayed course.
Furthermore, according to the scheme, the educational robot can adopt a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extract semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Further, according to the above scheme, the educational robot may adopt a natural language processing manner and the occurrence time of the keywords of the displayed course based on the displayed course, input the keywords of the displayed course to a first recurrent neural network in time sequence, input the keywords of the displayed course to a second recurrent neural network in time sequence reverse to the time sequence, train through the first recurrent neural network to obtain a first word model of the keywords of the displayed course, train through the second recurrent neural network to obtain a second word model of the keywords of the displayed course, extract semantic words and part-of-speech words from the keywords associated with the displayed course based on the first word module and the second word module and in combination with the context relationship of the position of the keywords associated with the displayed course; the teaching robot has the advantages that the teaching robot can improve the accuracy of semantic words and part-of-speech words extracted from keywords related to the displayed course.
Furthermore, according to the scheme, the education robot can store preset materials in a preset material library, set the mapping relation between the information of the semantic words and the part-of-speech words and the materials in the material library, and configure matched material packages for the extracted semantic words and the part-of-speech words from the material library according to the mapping relation, so that the education robot can reduce the workload of configuring the matched material packages.
Furthermore, according to the above scheme, the education robot can store preset materials in a preset material library, set mapping relations between information of semantic words and part of speech words and the materials in the material library, and configure material packages matched with a master of the displayed course for the extracted semantic words and part of speech words from the material library based on the theme of the displayed course according to the mapping relations, so that the education robot can reduce the workload of configuring the matched material packages, and meanwhile, the configured matched material packages are matched with the theme of the displayed course.
Furthermore, according to the scheme, the education robot can perform animation editing on the material packet matched with the configuration, perform animation content drawing on the material packet subjected to animation editing, and generate the display animation of the current course content according to the drawn animation content.
Furthermore, according to the above scheme, the educational robot can divide the display screen into the first display area and the second display area, the right for displaying the current course content is distributed to the first display area, the display animation corresponding to the current course content is distributed to the second display area, and the current course content and the display animation corresponding to the current course content are synchronously displayed through the first display area and the second display area.
Furthermore, according to the scheme, the education robot can capture the current course content and the showing animation corresponding to the current course content which are synchronously shown, and the advantage that interesting or useful information can be timely stored by the education robot in a capture mode can be achieved.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a part of the embodiments of the present invention, and not intended to limit the scope of the present invention, and all equivalent devices or equivalent processes performed by the present invention through the contents of the specification and the drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A course display method for an educational robot, comprising:
the education robot displays courses;
identifying the displayed courses in real time to obtain keywords related to the displayed courses;
extracting semantic words and part-of-speech words from the keywords related to the displayed courses; the semantic words represent words with specific semantic meanings, and the part-of-speech words represent conjunction words connecting the semantic words;
configuring matched material packets for the extracted semantic words and part-of-speech words;
generating a display animation of the current course content according to the configured matched material packet;
and synchronously displaying the current course content and the display animation corresponding to the current course content through a display screen.
2. The method for presenting lesson of education robot as claimed in claim 1, wherein said education robot recognizes said presented lesson in real time and obtains keywords associated with said presented lesson, comprising:
the teaching robot identifies the displayed course in real time, identifies text information with part of speech marks in the displayed course in real time, classifies the words with the part of speech marks in the text information according to the part of speech types, normalizes the words after the part of speech types are classified, enables the meanings of the words after the normalization processing and the same part of speech types tend to be consistent, and obtains keywords related to the displayed course from the words after the normalization processing.
3. The method for displaying lessons on an educational robot according to claim 2, wherein said educational robot recognizes said displayed lessons in real time and recognizes said text information with part-of-speech tags in said displayed lessons in real time, comprising:
the education robot right the course of show carries out synchronous pronunciation real-time identification and characters real-time identification, follows real-time identification in the pronunciation real-time identification have the pronunciation text message of part of speech mark in the course of show, follow real-time identification in the characters real-time identification have the characters text message of part of speech mark in the course of show, press the matching time of pronunciation and characters in the course of show, it is right pronunciation text message with characters text message adopts the mode of time matching and semantic matching, real-time identification have the text message of part of speech mark in the course of show.
4. The course displaying method of claim 1, wherein said educational robot extracts semantic words, part-of-speech words from said keywords associated with said displayed course; wherein the semantic words represent words with specific semantic meanings, the part of speech words represent conjunction words connecting the semantic words, and the method comprises the following steps:
the education robot adopts a natural language processing mode and the occurrence time of the keywords based on the displayed course, and extracts semantic words and part-of-speech words from the keywords related to the displayed course by combining the context of the position of the keywords related to the displayed course; the semantic words represent words with specific semantic meanings, and the part of speech words represent conjunction words connecting the semantic words.
5. The course demonstration method for an educational robot as claimed in claim 4, wherein said educational robot employs a natural language processing method and time of occurrence based on said displayed course keyword, and extracts semantic words and part-of-speech words from said displayed course keyword in combination with the context of the location of said displayed course keyword; wherein the semantic words represent words with specific semantic meanings, the part of speech words represent conjunction words connecting the semantic words, and the method comprises the following steps:
the education robot adopts a natural language processing mode and the appearance time of the keywords of the displayed course, the keywords of the displayed course are input into a first cyclic neural network according to the time sequence, the keywords of the displayed course are input into a second cyclic neural network according to the reverse time sequence of the time sequence, a first word model of the keywords of the displayed course is obtained through the training of the first cyclic neural network, a second word model of the keywords of the displayed course is obtained through the training of the second cyclic neural network, and semantic words and part-of-speech words are extracted from the keywords related to the displayed course on the basis of the first word module and the second word module and in combination with the context relationship of the position of the keywords related to the displayed course; the semantic words represent words with specific semantic meanings, and the part of speech words represent conjunction words connecting the semantic words.
6. The course displaying method of claim 1, wherein said educational robot configures a matched material package for said extracted semantic words and part-of-speech words, comprising:
the education robot stores preset materials in a preset material library, sets a mapping relation between information of semantic words and part-of-speech words and the materials in the material library, and configures matched material packets for the extracted semantic words and part-of-speech words from the material library according to the mapping relation.
7. The course displaying method of claim 6, wherein said educational robot stores preset materials in a preset materials library, and sets a mapping relationship between information of semantic words and part-of-speech words and the materials in said materials library, and configures a matched materials package for said extracted semantic words and part-of-speech words from said materials library according to said mapping relationship, comprising:
the education robot stores preset materials in a preset material library, sets mapping relations between information of semantic words and part-of-speech words and the materials in the material library, and configures material packages matched with a master of a displayed course for the extracted semantic words and part-of-speech words in the material library based on the theme of the displayed course according to the mapping relations.
8. The course displaying method of claim 1, wherein said educational robot generates an animation showing the current course content according to said configuration kit, comprising:
and the educational robot carries out animation editing on the material packet matched with the configuration, draws the animation content of the material packet subjected to the animation editing, and generates the display animation of the current course content according to the drawn animation content.
9. The course displaying method of an educational robot according to claim 1, wherein said educational robot simultaneously displays said current course content and a displaying animation corresponding to said current course content through a display screen, comprising:
education robot divides the display screen into first display area and second display area, right first display area distributes and shows the authority of current course content, right the second display area distributes and shows and corresponds the show animation of current course content, through first display area with the synchronous show of second display area current course content with correspond the show animation of current course content.
10. The lesson presenting method of an educational robot according to claim 1, further comprising, after said educational robot presents said current lesson content and said presentation animation corresponding to said current lesson content simultaneously through a display screen:
and the educational robot captures the current course content synchronously displayed and the display animation corresponding to the current course content.
CN202011166772.4A 2020-10-27 2020-10-27 Course display method for education robot Pending CN112200898A (en)

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