CN111026871A - Dictation content acquisition method based on knowledge graph and electronic equipment - Google Patents

Dictation content acquisition method based on knowledge graph and electronic equipment Download PDF

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CN111026871A
CN111026871A CN201910319047.7A CN201910319047A CN111026871A CN 111026871 A CN111026871 A CN 111026871A CN 201910319047 A CN201910319047 A CN 201910319047A CN 111026871 A CN111026871 A CN 111026871A
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content
dictation
student user
writing
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魏誉荧
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63Querying
    • G06F16/635Filtering based on additional data, e.g. user or group profiles
    • G06F16/636Filtering based on additional data, e.g. user or group profiles by using biological or physiological data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63Querying
    • G06F16/635Filtering based on additional data, e.g. user or group profiles

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Abstract

The embodiment of the invention relates to the technical field of education, and discloses a dictation content acquisition method based on a knowledge graph and electronic equipment, wherein the method comprises the following steps: after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, acquiring the actual writing content written by the student user according to the pronunciation segment; comparing the actual written content with any dictation content to determine whether any dictation content belongs to the difficult dictation content of the student user; if any dictation content belongs to the stubborn dictation content of the student user, determining a target node from all knowledge nodes of a preset knowledge graph; wherein the any dictation content is associated with the target node; summarizing the dictation content of the student user from other contents except any dictation content in the contents associated with the target node. By implementing the embodiment of the invention, the dictation content can be automatically summarized for the student users, and the intelligence is improved.

Description

Dictation content acquisition method based on knowledge graph and electronic equipment
Technical Field
The invention relates to the technical field of education, in particular to a dictation content acquisition method based on a knowledge graph and electronic equipment.
Background
Currently, a student user can use a dictation application (also called a dictation APP or a dictation client) provided by an electronic device (such as a family education machine, a learning tablet, etc.) to perform dictation of contents (such as words) so as to improve the mastering degree of the student user on the dictation contents. In practice, it is found that dictation contents played by a dictation application of an electronic device usually need to be actively added by a human, and the intelligence is lacking.
Disclosure of Invention
The embodiment of the invention discloses a dictation content recommendation method based on a knowledge graph and electronic equipment, which can automatically summarize dictation contents for student users and improve intelligence.
The first aspect of the embodiment of the invention discloses a dictation content acquisition method based on a knowledge graph, which comprises the following steps:
after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, acquiring the actual writing content written by the student user according to the pronunciation segment;
comparing the actual written content with any dictation content to determine whether any dictation content belongs to the problematic dictation content of the student user;
if any dictation content belongs to the stubborn dictation content of the student user, determining a target node from all knowledge nodes of a preset knowledge graph; wherein the any dictation content is associated with the target node;
summarizing the dictation contents of the student user from other contents except any one dictation content in the contents associated with the target node.
A second aspect of an embodiment of the present invention discloses an electronic device, including:
the acquisition unit is used for acquiring the actual writing content written by the student user according to the pronunciation segment after the dictation application finishes playing any pronunciation segment corresponding to the dictation content;
the comparison unit is used for comparing the actual written content with any dictation content to determine whether any dictation content belongs to the stubborn dictation content of the student user;
the determining unit is used for determining a target node from all knowledge nodes of a preset knowledge graph when the comparing unit compares that any dictation content belongs to the stubborn dictation content of the student user; wherein the any dictation content is associated with the target node;
and the summarizing unit is used for summarizing the dictation contents of the student user from other contents except any one of the dictation contents in the contents associated with the target node.
A third aspect of an embodiment of the present invention discloses an electronic device, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the steps of the method for acquiring dictation content based on the knowledge graph disclosed in the first aspect of the embodiment of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the method for acquiring dictation content based on a knowledge graph disclosed in the first aspect of the embodiments of the present invention are executed.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, after the dictation application plays the pronunciation segment corresponding to any dictation content, the actual writing content written by a student user according to the pronunciation segment can be obtained, and after the actual writing content is compared with any dictation content and the difficult dictation content of the student user is determined, a target node associated with any dictation content is determined from all knowledge nodes of a preset knowledge graph; further, the dictation content of the student user can be summarized from other contents besides the any dictation content in the contents associated with the target node. Therefore, by implementing the embodiment of the invention, the dictation content can be automatically summarized for the student users, and the intelligence is improved; in addition, the embodiment of the invention is beneficial to improving the mastering degree of the content of the knowledge node associated with the stubborn dictation content of the student user.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for recommending dictation contents based on knowledge-graph according to an embodiment of the present invention;
FIG. 2 is a flow chart of another knowledge-graph-based dictation content recommendation method disclosed in the embodiment of the invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of another electronic device disclosed in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a dictation content recommendation method based on a knowledge graph and electronic equipment, which can automatically summarize dictation contents for student users and improve intelligence. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart of a method for recommending dictation content based on a knowledge graph according to an embodiment of the present invention. The method for recommending dictation contents based on knowledge graph shown in fig. 1 can be applied to various electronic devices such as tablet computers, personal computers, learning tablet computers, Mobile phones, family education devices (such as family education machines), smart watches (such as telephone watches), multimedia teaching devices, Mobile Internet Devices (MID) and the like. As shown in fig. 1, the method for recommending dictation content based on knowledge-graph may include the following steps:
101. after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, the electronic equipment acquires the actual writing content written by the student user according to the pronunciation segment.
As an optional implementation manner, in the embodiment of the present invention, after the dictation application finishes playing any one of the sound clips corresponding to the dictation content, the electronic device may control the dictation application to pause playing the sound clip corresponding to the next dictation content, and the electronic device may obtain, through a camera module (also referred to as a camera) disposed on the electronic device, actual writing content written by the student user according to the sound clip; or, the electronic device may acquire the actual writing content written by the student user according to the reading clip through a camera module (e.g., a camera module set on a smart watch worn by the student user) externally connected to the electronic device in a wired or wireless manner. For example, the left wrist of the student user can wear a smart watch, and the right palm holds a handwriting pen to perform listening and writing on the exercise book; the intelligent watch can be in communication connection with the electronic equipment in a wireless mode (such as Bluetooth or Wi-Fi), after the dictation application finishes playing any pronunciation section corresponding to the dictation content, the electronic equipment can control the dictation application to pause playing the pronunciation section corresponding to the next dictation content, and the electronic equipment can acquire the actual writing content written by the student user according to the pronunciation section through a camera module arranged on the intelligent watch worn on the left wrist of the student user. This way, the power consumption of the electronic device when dictating the student user can be reduced.
As another optional implementation manner, in the embodiment of the present invention, after the dictation application finishes playing any sound reading segment corresponding to the dictation content, the electronic device may first obtain the dictation expression of the student user (for example, obtain the dictation expression of the student user through a shooting module set on an intelligent watch worn by the student user), further, the electronic device may check whether the dictation expression of the student user matches a preset specified expression for triggering obtaining an actual writing content written by the student user, and if the specified expression matches the preset specified expression, obtain the actual writing content written by the student user according to the sound reading segment through the intelligent watch worn by the student user.
Further, if it is checked that the dictation expression of the student user is not matched with the preset specified expression for triggering to acquire the actual writing content written by the student user, the electronic equipment can also check whether the dictation action of the student user is matched with the preset specified action for triggering to acquire the actual writing content written by the student user, and if the dictation action is matched with the preset specified action for triggering to acquire the actual writing content written by the student user, the electronic equipment acquires the actual writing content written by the student user according to the reading segment through the intelligent watch worn by the student user. On the contrary, if the dictation action of the student user is verified to be not matched with the preset specified action for triggering the acquisition of the actual writing content written by the student user, the electronic equipment can control the dictation application to continuously play the pronunciation section corresponding to the next dictation content.
102. The electronic equipment compares the actual written content with any dictation content to determine whether any dictation content belongs to the stubborn dictation content of the student user.
As an optional implementation manner, in an embodiment of the present invention, the comparing, by the electronic device, the actual written content with the any dictation content to determine whether the any dictation content belongs to the stubborn dictation content of the student user may include:
the electronic equipment compares the actual writing content with any dictation content, and if the actual writing content is different from any dictation content, the electronic equipment determines that any dictation content belongs to the difficult dictation content of the student user;
if the actual writing content is the same as any dictation content, acquiring the writing duration which is recorded in advance when the student user writes the actual writing content according to the pronunciation segment, wherein the writing duration at least comprises the writing duration of each character included in the actual writing content;
aiming at any character included in the actual written content, judging whether the character writing duration of the any character exceeds the single character writing duration specified by a preset model, and if so, determining that any dictation content belongs to the difficult dictation content of the student user; if not, determining that any dictation content does not belong to the difficult dictation content of the student user.
For example, after the dictation application finishes playing any one of the sound segments corresponding to the dictation contents "gentle" such as the standard mandarin sound of the "gentle" two-character, the electronic device may control the dictation application to pause to continue playing the sound segment corresponding to the next dictation content, and record in advance the actual writing contents "gentle" written by the student user according to the sound segment corresponding to the any one of the dictation contents "gentle" and the writing duration when the actual writing contents "gentle" are written, where the writing duration at least includes the writing duration (e.g., 10s) of the "warm" character and the writing duration (e.g., 8s) of the "soft" character included in the actual writing contents "gentle".
As an optional implementation manner, in the embodiment of the present invention, after the dictation application finishes playing any reading segment corresponding to the "gentle" dictation content (e.g. the standard mandarin chinese reading of the "gentle" two-character), the shooting module arranged in the electronic equipment or the shooting module connected with the electronic equipment externally (such as the shooting module on the intelligent watch worn by the student) can be used for shooting the video clip of the actual writing content written by the student according to the reading clip corresponding to any dictation content, identifying and recording the writing duration of the actual writing content from the video clip, the writing time period includes at least a writing time period of each word included in the actual written contents, for example, a writing time period (e.g., 10s) of a "warm" word included in the actual written contents "gentle" and a writing time period (e.g., 8s) of a "gentle" word.
As an optional implementation manner, in the embodiment of the present invention, for any word included in the actual written content, determining whether a word writing duration of the any word exceeds a single word writing duration specified by a preset model, includes:
aiming at any character included in the actual written content, determining the single character writing duration which is specified by a preset model and is in direct proportion to the total stroke number of the any character;
and judging whether the character writing duration of any character exceeds the single character writing duration in direct proportion to the total stroke number of any character.
For example, the electronic device may determine, for any word "warm" included in the actual written content "soft", that the writing duration of a single word specified by the preset model and in direct proportion to the total number of strokes "12" of the any word "warm" is "6 s";
and the electronic equipment can judge that the writing duration of the character of any character 'warm' is longer than the writing duration of the single character '6 s' in direct proportion to the total stroke number '12' of any character 'warm', and at the moment, the electronic equipment can determine that any dictation content 'warm and soft' belongs to the difficult dictation content of the student user.
As an alternative implementation manner, in the embodiment of the present invention, the pre-recorded writing duration of the student user writing the actual writing content according to the pronunciation segment may include a word interval writing duration between every two adjacent words, in addition to the word writing duration of each word. Correspondingly, when the writing duration of any character is judged not to exceed the single character writing duration in direct proportion to the total stroke number of the any character, the electronic equipment can judge whether the character interval writing duration between any two adjacent characters included in the actual writing content exceeds the character interval preset writing duration specified by the preset model, and if so, the electronic equipment can determine that any dictation content is 'soft and warm' and belongs to the difficult dictation content of the student user; if not, the electronic equipment can determine that any dictation content is not the difficult dictation content of the student user, namely the 'soft' dictation content.
103. If any dictation content belongs to the stubborn dictation content of the student user, the electronic equipment determines a target node from all knowledge nodes of a preset knowledge graph; wherein the any dictation content is associated with the target node.
In the embodiment of the present invention, a knowledge graph composed of knowledge nodes may be preset on the electronic device, each knowledge node may be a certain chapter, and any dictation content associated with a target node may be understood as a content of the any dictation content belonging to the target node (e.g., a certain chapter).
104. The electronic equipment summarizes the dictation content of the student user from other contents except any dictation content in the contents associated with the target node.
By implementing the method described in fig. 1, dictation contents can be automatically collected for student users, so that intelligence is improved; in addition, the implementation of the method described in fig. 1 is beneficial to improving the mastery degree of the student user on the content of the knowledge node associated with the stubborn dictation content.
Example two
Referring to fig. 2, fig. 2 is a schematic flowchart of another knowledge-graph-based dictation content recommendation method according to an embodiment of the present invention. The dictation content recommendation method based on the knowledge graph shown in fig. 2 can be applied to various electronic devices such as tablet computers, personal computers, learning tablet computers, mobile phones, home education devices (such as a home education machine), smart watches (such as a telephone watch), multimedia teaching devices, and MID. As shown in fig. 2, the method for recommending dictation content based on knowledge-graph may include the following steps:
201. after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, the electronic equipment acquires the actual writing content written by the student user according to the pronunciation segment.
202. The electronic equipment compares the actual written content with any dictation content to determine whether any dictation content belongs to the stubborn dictation content of the student user.
203. If any dictation content belongs to the stubborn dictation content of the student user, the electronic equipment determines a target node from all knowledge nodes of a preset knowledge graph; wherein the any dictation content is associated with the target node.
204. The electronic equipment summarizes the dictation content of the student user from other contents except any dictation content in the contents associated with the target node.
205. The electronic equipment takes account information of the student user logging in the dictation application as the identity of the student user, and inquires the identity information of the teacher equipment corresponding to the identity of the student user.
The teacher device may be a teacher device for a teacher who is responsible for teaching the subject (e.g., language) to which the dictation content belongs to the student user.
206. The electronic device reports a dictation plan including the identity of the student user and the node ID of the target node to the teacher device based on the identification information of the teacher device.
By implementing the steps 205 to 206, the teacher can timely learn the knowledge nodes of the problematic dictation contents of the students, so that the teacher can adjust the dictation plan in a targeted manner.
As an optional implementation manner, in this embodiment of the present invention, after the electronic device performs step 206, the following operations may also be performed:
the electronic equipment receives appointed dictation contents pushed by the teacher equipment for the student user, wherein the appointed dictation contents are dictated by the teacher according to the identity of the student user, then the teacher judges that the learning progress of the student user is matched with the contents associated with the target node (namely, the contents associated with the target node are understood to be learned by the student user), and the dictated contents are appointed for the student user from the contents associated with the target node;
and the electronic equipment updates the summarized dictation contents of the student user according to the appointed dictation contents pushed by the teacher equipment for the student user.
After the teacher can determine the learning progress of each student user according to the identity of each student user, different amounts of dictation contents specified for each student user from the contents associated with the target node can be obtained, and therefore the purpose of personalized dictation capacity exercise can be achieved.
As a further alternative, in the embodiment of the present invention, if the teacher determines that the learning progress of the student user does not match the content associated with the target node (i.e. it can be understood that the student user has not learned the content associated with the target node yet), the teacher may determine another node from the knowledge nodes of the preset knowledge graph, where the learning progress of the student user matches the content associated with the another node (i.e. it can be understood that the student user has learned the content associated with the another node), and specify dictation content for the student user from the content associated with the another node, so that the electronic device may update the summarized dictation content for the student user according to the specified dictation content pushed by the teacher device for the student user. Therefore, the learned node content can be tamped by improving the mastery degree of the student user on the learned node content.
By implementing the method described in fig. 2, dictation contents can be automatically collected for student users, so that intelligence is improved; in addition, the implementation of the method described in fig. 2 is beneficial to improving the mastery degree of the student user on the content of the knowledge node associated with the stubborn dictation content.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 3, the electronic device may include:
an obtaining unit 301, configured to obtain actual writing content written by a student user according to a pronunciation segment after the dictation application finishes playing any pronunciation segment corresponding to the dictation content;
a comparing unit 302, configured to compare the actual written content with any dictation content to determine whether any dictation content belongs to the stubborn dictation content of the student user;
a determining unit 303, configured to determine a target node from each knowledge node of a preset knowledge graph when the comparing unit 303 compares that any dictation content belongs to the difficult dictation content of the student user; wherein the any dictation content is associated with the target node;
and an aggregation unit 304, configured to aggregate the dictation content of the student user from other contents, except the any dictation content, in the content associated with the target node.
As an alternative implementation, in the electronic device shown in fig. 3, the obtaining unit 301 may include:
the expression obtaining subunit 3011 is configured to obtain a dictation expression of the student user after the dictation application finishes playing any pronunciation segment corresponding to the dictation content (for example, obtain the dictation expression of the student user through a shooting module set on an intelligent watch worn by the student user);
the verifying subunit 3012 is configured to verify whether the dictation expression of the student user matches a preset specified expression for triggering acquisition of actual writing content written by the student user;
and the content obtaining subunit 3013, configured to, when the verifying subunit 3012 verifies that the dictation expression of the student user matches a preset specified expression for triggering obtaining of an actual writing content written by the student user, obtain, through a smart watch worn by the student user, the actual writing content written by the student user according to the reading segment.
As an alternative implementation manner, in the electronic device shown in fig. 3, the checking subunit 3012 is further configured to, when it is checked that the dictation expression of the student user does not match a preset specified expression for triggering acquisition of actual writing content written by the student user, check whether the dictation action of the student user matches a preset specified action for triggering acquisition of actual writing content written by the student user;
correspondingly, the content obtaining subunit 3013 is further configured to, when the verifying subunit 3012 verifies that the dictation action of the student user matches a preset specified action for triggering obtaining of actual writing content written by the student user, obtain, through a smart watch worn by the student user, actual writing content written by the student user according to the reading segment.
As an alternative implementation, in the electronic device shown in fig. 3, the comparing unit 302 includes:
a first comparing subunit 3021, configured to compare the actual written content with any dictation content, and if the actual written content is different from any dictation content, determine that any dictation content belongs to the difficult dictation content of the student user;
a time length obtaining subunit 3022, configured to, when the first comparing subunit 3021 compares that the actual writing content is the same as the any dictation content, obtain a pre-recorded writing time length when the student user writes the actual writing content according to the reading segment, where the writing time length at least includes a writing time length of each word included in the actual writing content;
the judging subunit 3023 is configured to judge, for any character included in the actual written content, whether the character writing duration of the any character exceeds a single character writing duration specified by a preset model, and if so, determine that the any dictation content belongs to the difficult dictation content of the student user.
In the embodiment of the present invention, the determining subunit 3023 determines, for any word included in the actual written content, a single word writing duration that is specified by a preset model and is in a direct proportion to the total stroke number of the any word; and judging whether the character writing duration of any character exceeds the single character writing duration in direct proportion to the total stroke number of any character.
As an alternative implementation manner, in the embodiment of the present invention, the pre-recorded writing duration of the student user writing the actual writing content according to the pronunciation segment may include a word interval writing duration between every two adjacent words, in addition to the word writing duration of each word. Correspondingly, when the judging subunit 3023 judges that the writing duration of any word does not exceed the writing duration of a single word in direct proportion to the total stroke number of any word, the judging subunit 3023 may judge whether the inter-word writing duration between any two adjacent words included in the actual written content exceeds the inter-word preset writing duration specified by the preset model, and if so, the judging subunit 3023 may determine that any dictation content "soft and warm" belongs to the difficult dictation content of the student user; if not, the judging subunit 3023 may determine that any dictation content "soft" does not belong to the difficult dictation content of the student user.
As an alternative embodiment, in the electronic device shown in fig. 3, after the summarizing unit 304 summarizes the dictation content of the student user from the other contents besides any dictation content in the contents associated with the target node, the following operations may be further performed:
the summarizing unit 304 uses the account information of the student user logging in the dictation application as the identity of the student user, and inquires the identity information of the teacher device corresponding to the identity of the student user;
and the summarizing unit 304 reports the dictation plan including the identity of the student user and the node ID of the target node to the teacher device according to the identification information of the teacher device, so that the teacher can timely learn the knowledge nodes of the problematic dictation contents of the student, and the teacher can adjust the dictation plan in a targeted manner.
As an optional implementation manner, in an embodiment of the present invention, after the summarizing unit 304 reports the dictation plan including the identity of the student user and the node ID of the target node to the teacher device according to the identification information of the teacher device, the following operations may be further performed:
the summarizing unit 304 receives the designated dictation content pushed by the teacher device for the student user, wherein the designated dictation content is the dictation content that is determined by the teacher according to the identity of the student user, and then, the learning progress of the student user is determined to match with the content associated with the target node (i.e. it can be understood that the student user has learned the content associated with the target node), and the dictated dictation content is designated for the student user from the content associated with the target node;
and the summarizing unit 304 updates the summarized dictation contents of the student user according to the appointed dictation contents pushed by the teacher device for the student user.
After the teacher can determine the learning progress of each student user according to the identity of each student user, different amounts of dictation contents specified for each student user from the contents associated with the target node can be obtained, and therefore the purpose of personalized dictation capacity exercise can be achieved.
As a further alternative, in the embodiment of the present invention, if the teacher determines that the learning progress of the student user does not match the content associated with the target node (i.e. it can be understood that the student user has not learned the content associated with the target node yet), the teacher may determine another node from the knowledge nodes of the preset knowledge graph, where the learning progress of the student user matches the content associated with the another node (i.e. it can be understood that the student user has learned the content associated with the another node), and the dictation content specified for the student user from the content associated with the another node, so that the summarizing unit 304 may update the summarized dictation content of the student user according to the specified dictation content pushed by the teacher device for the student user. Therefore, the learned node content can be tamped by improving the mastery degree of the student user on the learned node content.
The electronic device described in fig. 3 can automatically summarize dictation contents for student users, thereby improving intelligence; in addition, the electronic device described in fig. 3 is implemented to facilitate the improvement of the mastery degree of the content of the knowledge node associated with the problematic dictation content by the student user.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. As shown in fig. 4, the electronic device may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory;
wherein, the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the method for recommending dictation content based on knowledge-graph as described in fig. 1 or fig. 2.
The embodiment of the invention discloses a computer-readable storage medium, on which computer instructions are stored, and the computer instructions execute the steps of the method for recommending dictation contents based on knowledge graph described in fig. 1 or fig. 2 when running.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by instructions associated with a program, which may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc-Read-Only Memory (CD-ROM), or other Memory, magnetic disk, magnetic tape, or magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
The method for recommending dictation contents based on knowledge graph and the electronic device disclosed by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A dictation content acquisition method based on knowledge graph is characterized by comprising the following steps:
after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, acquiring the actual writing content written by the student user according to the pronunciation segment;
comparing the actual written content with any dictation content to determine whether any dictation content belongs to the problematic dictation content of the student user;
if any dictation content belongs to the stubborn dictation content of the student user, determining a target node from all knowledge nodes of a preset knowledge graph; wherein the any dictation content is associated with the target node;
summarizing the dictation contents of the student user from other contents except any one dictation content in the contents associated with the target node.
2. The method according to claim 1, wherein the obtaining of the actual writing content written by the student user according to the pronunciation segment after the dictation application finishes playing any pronunciation segment corresponding to the dictation content comprises:
after the dictation application finishes playing any pronunciation segment corresponding to the dictation content, acquiring the dictation expression of the student user;
and checking whether the dictation expression of the student user is matched with a preset appointed expression for triggering acquisition of actual writing content written by the student user, and if so, acquiring the actual writing content written by the student user according to the pronunciation fragment through an intelligent watch worn by the student user.
3. The method of claim 2, wherein if it is verified that the dictation expression of the student user does not match a preset specified expression for triggering acquisition of actual writing content written by the student user, the method further comprises:
and checking whether the dictation action of the student user is matched with a preset appointed action for triggering acquisition of actual writing content written by the student user, and if so, executing the step of acquiring the actual writing content written by the student user according to the pronunciation fragments through an intelligent watch worn by the student user.
4. The method of claim 1, 2 or 3, wherein said comparing said actual written content with said any dictation content to determine whether said any dictation content belongs to problematic dictation content of said student user comprises:
comparing the actual writing content with any dictation content, and if the actual writing content is different from any dictation content, determining that any dictation content belongs to the difficult dictation content of the student user;
if the actual writing content is the same as any dictation content, acquiring a pre-recorded writing time length when the student user writes the actual writing content according to the pronunciation segment, wherein the writing time length at least comprises the writing time length of each character included in the actual writing content;
and aiming at any character included in the actual written content, judging whether the character writing duration of the any character exceeds the single character writing duration specified by a preset model, and if so, determining that the any dictation content belongs to the difficult dictation content of the student user.
5. The method of claim 4, wherein the determining whether the word writing duration of any word exceeds the word writing duration specified by a preset model for any word included in the actual written content comprises:
aiming at any character included in the actual writing content, determining the single character writing duration which is specified by a preset model and is in direct proportion to the total stroke number of the any character;
and judging whether the character writing duration of any character exceeds the single character writing duration which is in direct proportion to the total stroke number of any character.
6. An electronic device, characterized in that the electronic device comprises:
the acquisition unit is used for acquiring the actual writing content written by the student user according to the pronunciation segment after the dictation application finishes playing any pronunciation segment corresponding to the dictation content;
the comparison unit is used for comparing the actual written content with any dictation content to determine whether any dictation content belongs to the stubborn dictation content of the student user;
the determining unit is used for determining a target node from all knowledge nodes of a preset knowledge graph when the comparing unit compares that any dictation content belongs to the stubborn dictation content of the student user; wherein the any dictation content is associated with the target node;
and the summarizing unit is used for summarizing the dictation contents of the student user from other contents except any one of the dictation contents in the contents associated with the target node.
7. The electronic device according to claim 6, wherein the acquisition unit includes:
the expression acquisition subunit is used for acquiring the dictation expression of the student user after the dictation application finishes playing any pronunciation segment corresponding to the dictation content;
the verifying subunit is used for verifying whether the dictation expression of the student user is matched with a preset specified expression for triggering and acquiring the actual writing content written by the student user;
and the content acquisition subunit is used for acquiring the actual writing content written by the student user according to the pronunciation fragments through an intelligent watch worn by the student user when the listening and writing expression of the student user is verified to be matched with a preset designated expression used for triggering the acquisition of the actual writing content written by the student user by the verification subunit.
8. The electronic device of claim 7, wherein:
the verification subunit is further configured to verify whether the dictation action of the student user is matched with a preset specified action for triggering acquisition of the actual writing content written by the student user when it is verified that the dictation expression of the student user is not matched with the preset specified expression for triggering acquisition of the actual writing content written by the student user;
the content obtaining subunit is further configured to obtain, through the smart watch worn by the student user, actual writing content written by the student user according to the pronunciation snippet when the verifying subunit verifies that the dictation action of the student user matches a preset specified action used for triggering obtaining of the actual writing content written by the student user.
9. The electronic device of claim 6, 7 or 8, wherein the comparison unit comprises:
the first comparison subunit is used for comparing the actual writing content with any dictation content, and if the actual writing content is different from any dictation content, determining that any dictation content belongs to the difficult dictation content of the student user;
a time length obtaining subunit, configured to, when the first comparing subunit compares that the actual writing content is the same as any dictation content, obtain a pre-recorded writing time length when the student user writes the actual writing content according to the pronunciation segment, where the writing time length at least includes a writing time length of each word included in the actual writing content;
and the judging subunit is used for judging whether the word writing duration of any word exceeds the single word writing duration specified by a preset model or not aiming at any word included in the actual writing content, and if so, determining that any dictation content belongs to the difficult dictation content of the student user.
10. The electronic device according to claim 9, wherein the determining subunit is specifically configured to determine, for any word included in the actual written content, a single-word writing duration that is specified by a preset model and is in a direct relationship with a total number of strokes of the any word; and judging whether the character writing duration of any character exceeds the single character writing duration which is in direct proportion to the total stroke number of any character.
CN201910319047.7A 2019-04-19 2019-04-19 Dictation content acquisition method based on knowledge graph and electronic equipment Pending CN111026871A (en)

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