CN109635125B - Vocabulary atlas building method and electronic equipment - Google Patents
Vocabulary atlas building method and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of knowledge maps, and discloses a vocabulary map building method and electronic equipment, wherein the method comprises the following steps: aiming at a target vocabulary of a current learning page, receiving an association vocabulary input by a user; acquiring detailed contents for distinguishing the target vocabulary and the associated vocabulary according to the target vocabulary and the associated vocabulary, and pushing the detailed contents to a user; the detailed analysis content comprises vocabulary analysis content of a target vocabulary, vocabulary analysis content of an associated vocabulary and difference analysis content between the target vocabulary and the associated vocabulary; and adding the target vocabulary and the associated vocabulary to the vocabulary map of the user, analyzing the content according to the difference, establishing a relation between the target vocabulary and the associated vocabulary in the vocabulary map of the user, and pushing the associated vocabulary establishing the relation with the target vocabulary to the user when the user reviews the target vocabulary. By implementing the embodiment of the invention, the requirement of the user on personalized vocabulary learning can be met.
Description
Technical Field
The invention relates to the technical field of knowledge maps, in particular to a vocabulary map building method and electronic equipment.
Background
In learning and accumulating english vocabulary, it is easy to confuse some vocabulary with similar word shapes or meanings, such as desert and desserts, party and pact, defective and deficient, etc. To help users identify confusing words, most word software provides a number of near-meaning words of a word on a word detail page of the word for reference by the user. However, when the near-meaning word provided by the word software does not contain the confusable vocabulary to be identified by the user, the user needs to manually search the vocabulary parsing content of the confusable vocabulary and record the vocabulary parsing content by himself. Therefore, the method can not provide the easily confused words and the word analysis content thereof according to the word reserve of the user, and can not meet the personalized word learning requirement of the user.
Disclosure of Invention
The embodiment of the invention discloses a vocabulary atlas setting method and electronic equipment, which can meet the requirement of a user on personalized vocabulary learning.
The first aspect of the embodiment of the invention discloses a vocabulary atlas construction method, which comprises the following steps:
aiming at a target vocabulary of a current learning page, receiving an association vocabulary input by a user;
according to the target vocabulary and the associated vocabulary, acquiring detailed contents for distinguishing the target vocabulary and the associated vocabulary, and pushing the detailed contents to the user; the detailed analysis content comprises vocabulary analysis content of the target vocabulary, vocabulary analysis content of the associated vocabulary and difference analysis content between the target vocabulary and the associated vocabulary;
adding the target vocabulary to the vocabulary atlas of the user according to the vocabulary analysis content of the target vocabulary, and adding the associated vocabulary to the vocabulary atlas of the user according to the vocabulary analysis content of the associated vocabulary;
and establishing a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user according to the difference analysis content, so that the associated vocabulary establishing the relation with the target vocabulary is pushed to the user when the user reviews the target vocabulary.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the receiving, for the target vocabulary of the current learning page, the associated vocabulary input by the user, the method further includes:
acquiring the vocabulary level of a user;
aiming at a target vocabulary of a current learning page, outputting a reference vocabulary set matched with the vocabulary level on the current learning page;
the receiving of the associated vocabulary input by the user aiming at the target vocabulary of the current learning page comprises the following steps:
and receiving the associated vocabulary selected and input by the user in the reference vocabulary set aiming at the target vocabulary of the current learning page.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the associating the target vocabulary and the associated vocabulary in the vocabulary map of the user according to the difference analysis content includes:
performing text segmentation on the difference analysis content to obtain a plurality of text segments;
classifying the differential analysis content according to the text segments to obtain analysis keywords matched with the differential analysis content; the analysis keyword is one or any combination of spelling, pronunciation, part of speech or semantics;
and establishing a relation between the target vocabulary and the associated vocabulary according to the analysis keyword so as to construct a target triple in the vocabulary atlas of the user, wherein the target triple comprises the target vocabulary, the associated vocabulary and the analysis keyword.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after establishing a connection between the target vocabulary and the associated vocabulary according to the parsing keyword, the method further includes:
when the target vocabulary is detected to be marked as a learned state, receiving labeling information and learning notes input by the user for the detailed contents on the current learning page;
labeling the labeling information, the learning notes and the detailed contents according to the target triple and storing the labeling information, the learning notes and the detailed contents in a preset database, so that when the associated vocabulary connected with the target vocabulary is pushed to the user, the labeling information, the learning notes and the detailed contents are derived from the preset database according to the label corresponding to the target triple.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, a corresponding recommendation level is assigned to each triplet in the vocabulary map of the user, where the recommendation level corresponds to the number of times of invoking each triplet in the vocabulary map of the user.
A second aspect of an embodiment of the present invention discloses an electronic device, including:
the first receiving module is used for receiving the associated vocabulary input by the user aiming at the target vocabulary of the current learning page;
the pushing module is used for acquiring detailed contents for distinguishing the target vocabulary and the associated vocabulary according to the target vocabulary and the associated vocabulary and pushing the detailed contents to the user; the detailed analysis content comprises vocabulary analysis content of the target vocabulary, vocabulary analysis content of the associated vocabulary and difference analysis content between the target vocabulary and the associated vocabulary;
the adding module is used for adding the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary and adding the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary;
the building module is used for establishing a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user according to the difference analysis content, and pushing the associated vocabulary establishing the relation with the target vocabulary to the user when the user reviews the target vocabulary.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the electronic device further includes:
the output module is used for acquiring the vocabulary level of the user before the first receiving module receives the associated vocabulary input by the user aiming at the target vocabulary of the current learning page, and outputting a reference vocabulary set matched with the vocabulary level on the current learning page aiming at the target vocabulary of the current learning page;
the first receiving module is specifically configured to receive, for a target vocabulary of a current learning page, an association vocabulary selected and input by a user from the reference vocabulary set.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the building module includes:
the segmentation submodule is used for performing text segmentation on the difference analysis content to obtain a plurality of text segments;
the classification submodule is used for classifying the differential analysis content according to the text segments so as to obtain analysis keywords matched with the differential analysis content; the analysis keyword is one or any combination of spelling, pronunciation, part of speech or semantics;
and the construction sub-module is used for establishing a relation between the target vocabulary and the associated vocabulary according to the analysis keyword so as to construct a target triple in the vocabulary atlas of the user, wherein the target triple comprises the target vocabulary, the associated vocabulary and the analysis keyword.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the electronic device further includes:
the second receiving module is used for receiving the labeling information and the learning notes input by the user for the detailed explanation content on the current learning page when the target vocabulary is detected to be marked as a learned state after the construction sub-module establishes a connection between the target vocabulary and the associated vocabulary according to the analysis keyword;
and the storage module is used for labeling the labeling information, the learning notes and the detailed contents according to the target triple and storing the labeling information, the learning notes and the detailed contents in a preset database so as to derive the labeling information, the learning notes and the detailed contents from the preset database according to the label corresponding to the target triple when the associated vocabulary associated with the target vocabulary is pushed to the user.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, a corresponding recommendation level is assigned to each triplet in the vocabulary map of the user, where the recommendation level corresponds to the number of times of calling each triplet in the vocabulary map of the user.
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 vocabulary map building method disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute the vocabulary map building method disclosed in the first aspect of the present invention.
A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.
A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where the computer program product is configured to, when running on a computer, cause the computer to perform part or all of the steps of any one of the methods in the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
by implementing the embodiment of the invention, the association vocabulary input by voice when the user learns the target vocabulary is detected, and the detailed contents for distinguishing the target vocabulary from the association vocabulary are pushed to the user, so that the complicated steps of manually searching and recording the analysis contents of the association vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the target vocabulary and the associated vocabulary are connected according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met.
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 vocabulary atlas construction method disclosed by the embodiment of the invention;
FIG. 2 is a schematic flow chart of another vocabulary atlas construction method disclosed by the embodiment of the invention;
FIG. 3 is a schematic flow chart of another vocabulary atlas construction method disclosed by the embodiment of the invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;
FIG. 5 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;
FIG. 6 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;
fig. 7 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.
The embodiment of the invention discloses a vocabulary atlas setting method and electronic equipment, which can meet the requirement of a user on personalized vocabulary learning. The following detailed description is made with reference to the accompanying drawings.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a vocabulary atlas construction method disclosed in the embodiment of the present invention. As shown in fig. 1, the vocabulary map building method may include the following steps.
101. Aiming at the target vocabulary of the current learning page, the electronic equipment receives the associated vocabulary input by the user.
The vocabulary map building method disclosed by the embodiment of the invention is suitable for smart phones (such as Android phones, iOS phones and the like), tablet computers, palm computers, UMPCs (Ultra-mobile Personal computers), net books, mobile internet equipment, PADs and other electronic equipment comprising touch screens, and is particularly suitable for Web applications, APPs or special software in the electronic equipment.
In the embodiment of the present invention, the electronic device may receive the associated vocabulary input by the user in the associated vocabulary input area by providing the associated vocabulary input area, and may also receive and recognize the associated vocabulary input by the user through voice, which is not limited specifically.
102. According to the target vocabulary and the associated vocabulary, the electronic equipment acquires detailed contents for distinguishing the target vocabulary and the associated vocabulary, and pushes the detailed contents to a user; the detailed contents include vocabulary analysis contents of the target vocabulary, vocabulary analysis contents of the associated vocabulary, and difference analysis contents between the target vocabulary and the associated vocabulary.
In the embodiment of the invention, the electronic device can acquire the vocabulary analysis content of the target vocabulary, the vocabulary analysis content of the associated vocabulary and the difference analysis content between the target vocabulary and the associated vocabulary from the preset database, and can also grab the analysis content related to the target vocabulary and the associated vocabulary and disclosed on the internet by connecting the internet for the user to refer to, without limitation.
In an embodiment of the present invention, the difference analysis content between the target vocabulary and the associated vocabulary may include one or more combinations of spelling difference analysis content, pronunciation difference analysis content, part of speech difference analysis content, and semantic analysis content of the target vocabulary and the associated vocabulary, which is not limited herein. For example, the word "affect" and the word "effect" both of which may mean "impact" in their chinese meaning, include the following differences: the "affect" initials are spelled with the letters "a" and the "effect" initials are spelled with "e" (spelling difference is the parsing content); the pronunciation of "afect" is
Hair of' effectThe sound is "/I' fekt/" (pronunciation difference analysis content); when "affect" means "influence", it is used as a verb, and when "effect" means "influence", it is used as a noun (part-of-speech difference analysis content); "affect" means "the effect is large enough to cause a reaction", emphasizes the action of "influence", and "effect" emphasizes "causing" a special effect (semantic difference resolution).
103. The electronic device adds the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary, and adds the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary.
In the embodiment of the invention, the vocabulary map is a multi-relation map generated aiming at the vocabulary learned by the user, and generally comprises multi-type nodes and multi-type edges. In the vocabulary map, the nodes are the vocabulary learned by the user, the associated vocabulary of the vocabulary map is added according to the vocabulary corresponding to any node in the vocabulary map by the user, the nodes are connected with the nodes corresponding to the associated vocabulary through edges, the edges between the two node branches correspond to the analysis keywords, and the analysis keywords comprise one or any combination of spelling, pronunciation, part of speech or semantics and are related to the difference analysis content of the two nodes.
104. According to the difference analysis content, the electronic equipment establishes a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user, and is used for pushing the associated vocabulary establishing the relation with the target vocabulary to the user when the user reviews the target vocabulary.
Therefore, by implementing the method described in fig. 1, the association vocabulary input by the user in the process of learning the target vocabulary is detected, and the detailed contents for distinguishing the target vocabulary from the association vocabulary are pushed to the user, so that the complicated steps of manually searching and recording the analysis contents of the association vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the target vocabulary and the associated vocabulary are connected according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another vocabulary map building method disclosed in the embodiment of the present invention. As shown in fig. 2, the vocabulary map building method may include the following steps.
201. The electronic device obtains a vocabulary level of the user.
202. And aiming at the target vocabulary of the current learning page, the electronic equipment outputs a reference vocabulary set matched with the vocabulary level on the current learning page.
203. The electronic equipment receives an associated word selected and input by a user in a reference word set aiming at a target word of a current learning page.
In the embodiment of the present invention, the vocabulary level of the user is related to the vocabulary of the user, for example, 0 to 1000 vocabularies are first level, 1000 to 2000 vocabularies are second level, and 2000 to 3000 vocabularies are fourth level, and may also be related to some common english examination levels, for example, 4000 vocabularies correspond to college english fourth level, 6000 vocabularies correspond to college english sixth level 6000, and the like, which is not limited herein.
It can be seen that, by implementing the above steps 201 to 203, the reference vocabulary set matching with the user vocabulary level can be output to the user for selection by combining the user vocabulary level and the information of pronunciation, spelling and semantics of the target vocabulary, so that the reference vocabulary provided in the reference vocabulary set more accurately fits the real requirements of the user.
It is to be understood that the vocabulary map may also have a corresponding relationship with the vocabulary level of the user, as an alternative implementation, the account may be associated with the vocabulary map by registering the account, and when logging in the account, the vocabulary map associated with the account is updated to a background server connected to the electronic device, where step 202 may specifically include:
according to the vocabulary level of the user, the electronic equipment acquires a plurality of reference vocabulary maps matched with the vocabulary level of the user, wherein each reference vocabulary map corresponds to other registered accounts; searching a target vocabulary in each reference vocabulary atlas, and extracting all reference vocabularies related to the target vocabulary to be added to a reference vocabulary set; screening the reference vocabulary set to preferentially recommend the reference vocabulary with higher repetition rate; and outputting the filtered reference word set on the current learning page.
204. According to the target vocabulary and the associated vocabulary, the electronic equipment acquires detailed contents for distinguishing the target vocabulary and the associated vocabulary, and pushes the detailed contents to a user; the detailed contents include vocabulary analysis contents of the target vocabulary, vocabulary analysis contents of the associated vocabulary, and difference analysis contents between the target vocabulary and the associated vocabulary.
205. The electronic device adds the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary, and adds the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary.
206. According to the difference analysis content, the electronic equipment establishes a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user, and is used for pushing the associated vocabulary establishing the relation with the target vocabulary to the user when the user reviews the target vocabulary.
Therefore, by implementing the method described in fig. 2, by detecting the associated vocabulary input by the user in the process of learning the target vocabulary, and pushing the detailed contents for distinguishing the target vocabulary from the associated vocabulary to the user, the complicated steps of manually searching and recording the analysis contents of the associated vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the relation between the target vocabulary and the associated vocabulary is established according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met; in addition, by combining the vocabulary level of the user and information such as pronunciation, spelling and semantics of the target vocabulary, a reference vocabulary set matched with the vocabulary level of the user can be output to the user for selection, so that the reference vocabulary provided in the reference vocabulary set can more accurately meet the real requirements of the user.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic flow chart of another vocabulary map building method disclosed in the embodiment of the present invention. As shown in fig. 3, the vocabulary map building method may include the following steps.
301. The electronic device obtains a vocabulary level of the user.
302. And aiming at the target vocabulary of the current learning page, the electronic equipment outputs a reference vocabulary set matched with the vocabulary level on the current learning page.
303. The electronic equipment receives an associated word selected and input by a user in a reference word set aiming at a target word of a current learning page.
304. According to the target vocabulary and the associated vocabulary, the electronic equipment acquires detailed contents for distinguishing the target vocabulary and the associated vocabulary, and pushes the detailed contents to a user; the detailed contents include vocabulary analysis contents of the target vocabulary, vocabulary analysis contents of the associated vocabulary, and difference analysis contents between the target vocabulary and the associated vocabulary.
305. The electronic device adds the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary, and adds the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary.
306. The electronic equipment performs text segmentation on the difference analysis content to obtain a plurality of text segments.
307. And classifying the differential analysis content by the electronic equipment according to the text segments to obtain analysis keywords matched with the differential analysis content.
In the embodiment of the invention, the keyword is analyzed to be one or any combination of spelling, pronunciation, part of speech or semantics. It is to be understood that the difference analysis content includes analysis content specifically analyzed for confusion points of the target vocabulary and the associated vocabulary, and therefore, by analyzing the type of the analysis content included in the difference analysis content, it is possible to establish a relationship between the target vocabulary and the associated vocabulary based on the confusion points of the target vocabulary and the associated vocabulary.
308. According to the analysis keywords, the electronic equipment establishes a relation between the target vocabulary and the associated vocabulary so as to construct a target triple in the vocabulary atlas of the user, wherein the target triple comprises the target vocabulary, the associated vocabulary and the analysis keywords.
It can be seen that, by implementing the above steps 306 to 308, the triple structure is constructed for the target vocabulary, the associated vocabulary and the analysis keyword, so that the associated vocabulary and the analysis keyword belonging to the triple structure together with the target vocabulary can be exported together for the user to review each time the target vocabulary is called.
As an optional implementation, the scheme further includes:
when detecting that the target vocabulary is marked as a learned state, the electronic equipment receives labeling information and learning notes input by a user for detailed contents on a current learning page.
And according to the target triple, the electronic equipment attaches labels to the labeling information, the learning notes and the detailed explanation contents and stores the labels to a preset database, so that when the association vocabulary associated with the target vocabulary is pushed to a user, the labeling information, the learning notes and the detailed explanation contents are derived from the preset database according to the labels corresponding to the target triple.
Therefore, by implementing the optional implementation mode, the corresponding relation is established between the marking information and the learning notes input by the user and the triples to which the target vocabulary and the associated vocabulary belong, and the marking information and the learning notes are combined when the user reviews the target vocabulary and the associated vocabulary, so that the memory of the learning content is better deepened.
In the embodiment of the invention, the electronic equipment marks the corresponding recommendation level for each triple in the vocabulary map of the user, and the recommendation level corresponds to the calling times of each triple in the vocabulary map of the user. Therefore, the recommendation level is set for the triples based on the calling times of the triples in the vocabulary map, the learning content corresponding to the triples with higher recommendation levels can be preferentially output to the user, and the user can review weak knowledge points.
As an alternative embodiment, when the user reviews the first vocabulary in the vocabulary map, the electronic device searches the vocabulary map for all triples including the first vocabulary to add to the set of recommended triples; sorting all the triples from high to low based on the recommendation level to obtain a sorted recommendation triple set; obtaining N recommended words associated with the first word according to the top N-bit sorted triples in the sorted recommended triple set, and pushing the N recommended words to a user, wherein N is the number of preset recommended words; if a detailed explanation request of the user for a second vocabulary in the N recommended vocabularies is detected, obtaining corresponding analysis keywords according to the triples to which the first vocabulary and the second vocabulary belong, wherein the second vocabulary is any recommended vocabulary in the N recommended vocabularies; and deriving the detailed contents of the first vocabulary and the second vocabulary according to the analyzed key words, and pushing the detailed contents to the user.
Therefore, by implementing the method described in fig. 3, by detecting the associated vocabulary input by the user in the process of learning the target vocabulary, and pushing the detailed contents for distinguishing the target vocabulary from the associated vocabulary to the user, the complicated steps of manually searching and recording the analysis contents of the associated vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the relation between the target vocabulary and the associated vocabulary is established according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met; in addition, by constructing the triple structure for the target vocabulary, the associated vocabulary and the analysis keywords which belong to the triple structure together with the target vocabulary can be exported together for the user to review when the target vocabulary is called each time, and further, the exported sign information and the study notes can be combined to better deepen the memory of the study content; in addition, recommendation levels are set for the triples based on the calling times of the triples in the vocabulary map, learning contents corresponding to the triples with higher recommendation levels can be preferentially output to the user, and the user can review weak knowledge points.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 4, the electronic device may include a first receiving module 401, a pushing module 402, an adding module 403, and a building module 404, wherein:
the first receiving module 401 is configured to receive an associated vocabulary input by a user for a target vocabulary of a current learning page.
The pushing module 402 is configured to obtain detailed contents for distinguishing the target vocabulary and the associated vocabulary according to the target vocabulary and the associated vocabulary, and push the detailed contents to the user; the detailed contents include vocabulary analysis contents of the target vocabulary, vocabulary analysis contents of the associated vocabulary, and difference analysis contents between the target vocabulary and the associated vocabulary.
An adding module 403, configured to add the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary, and add the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary.
The building module 404 is configured to establish a relationship between the target vocabulary and the associated vocabulary in the vocabulary map of the user according to the difference analysis content, and push the associated vocabulary establishing a relationship with the target vocabulary to the user when the user reviews the target vocabulary.
It can be seen that, with the electronic device described in fig. 4, by detecting the associated vocabulary that is input by the user in a voice manner when the user learns the target vocabulary, and pushing the detailed contents for distinguishing the target vocabulary from the associated vocabulary to the user, the complicated steps of manually searching and recording the analysis contents of the associated vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the target vocabulary and the associated vocabulary are connected according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 5 is optimized from the electronic device shown in fig. 4. Compared to the electronic device shown in fig. 4, the electronic device shown in fig. 5 may further include:
an output module 405, configured to obtain the vocabulary level of the user before the first receiving module 401 receives the associated vocabulary input by the user for the target vocabulary of the current learning page, and output a reference vocabulary set matching the vocabulary level on the current learning page for the target vocabulary of the current learning page.
As an optional implementation manner, the account may be associated with the vocabulary map by registering the account, and when logging in the account, the vocabulary map associated with the account is updated to a background server connected to the electronic device, and the output module 405 outputs a reference vocabulary set matching the vocabulary level on the current learning page, specifically, for the target vocabulary of the current learning page:
an output module 405, configured to obtain, according to the vocabulary level of the user, a plurality of reference vocabulary maps matched with the vocabulary level of the user, where each reference vocabulary map corresponds to another registered account; searching a target vocabulary in each reference vocabulary atlas, and extracting all reference vocabularies related to the target vocabulary to be added to a reference vocabulary set; screening the reference vocabulary set to preferentially recommend the reference vocabulary with higher repetition rate; and outputting the filtered reference word set on the current learning page.
The first receiving module 401 is specifically configured to receive, for a target vocabulary of a current learning page, an associated vocabulary that is selected and input by a user from a reference vocabulary set.
It can be seen that, with the electronic device described in fig. 5, by detecting the associated vocabulary that is input by the user in a voice manner when the user learns the target vocabulary, and pushing the detailed contents for distinguishing the target vocabulary from the associated vocabulary to the user, the complicated steps of manually searching and recording the analysis contents of the associated vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the relation between the target vocabulary and the associated vocabulary is established according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met; in addition, by combining the vocabulary level of the user and information such as pronunciation, spelling and semantics of the target vocabulary, a reference vocabulary set matched with the vocabulary level of the user can be output to the user for selection, so that the reference vocabulary provided in the reference vocabulary set can more accurately meet the real requirements of the user.
EXAMPLE six
Referring to fig. 6, fig. 6 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. The electronic device shown in fig. 6 is optimized from the electronic device shown in fig. 5. Compared to the electronic device shown in fig. 5, the electronic device shown in fig. 6 may further include a second receiving module 406 and a storage module 407, wherein:
a build module 404 comprising:
the segmentation submodule 4041 is used for performing text segmentation on the difference analysis content to obtain a plurality of text segments;
the classification submodule 4042 is used for classifying the difference analysis content according to the text segments to obtain analysis keywords matched with the difference analysis content; analyzing the keywords as one or any combination of spelling, pronunciation, part of speech or semantics;
the building sub-module 4043 is configured to associate the target vocabulary with the associated vocabulary according to the parsing keyword to build a target triple in the vocabulary map of the user, where the target triple includes the target vocabulary, the associated vocabulary, and the parsing keyword.
A second receiving module 406, configured to receive, after the building sub-module 4043 establishes a connection between the target vocabulary and the associated vocabulary according to the parsing keyword, the tagging information and the learning note input by the user for the detailed content on the current learning page when it is detected that the target vocabulary is marked as a learned state.
The storage module 407 is configured to attach tags to the labeling information, the learning note, and the detailed content according to the target triple and store the tags in the preset database, so that when the associated vocabulary associated with the target vocabulary is pushed to the user, the labeling information, the learning note, and the detailed content are derived from the preset database according to the tags corresponding to the target triple.
In the embodiment of the invention, each triple in the vocabulary map of the user is labeled with a corresponding recommendation level, and the recommendation level corresponds to the calling times of each triple in the vocabulary map of the user.
As an optional implementation, the electronic device is further configured to search the vocabulary map for all triples including the first vocabulary to add to the set of recommended triples when the user reviews the first vocabulary in the vocabulary map; sorting all the triples from high to low based on the recommendation level to obtain a sorted recommendation triple set; obtaining N recommended words associated with the first word according to the top N-bit sorted triples in the sorted recommended triple set, and pushing the N recommended words to a user, wherein N is the number of preset recommended words; if a detailed explanation request of the user for a second vocabulary in the N recommended vocabularies is detected, obtaining corresponding analysis keywords according to the triples to which the first vocabulary and the second vocabulary belong, wherein the second vocabulary is any recommended vocabulary in the N recommended vocabularies; and deriving the detailed contents of the first vocabulary and the second vocabulary according to the analyzed key words, and pushing the detailed contents to the user.
It can be seen that, with the electronic device described in fig. 6, by detecting the associated vocabulary that is input by the user in a voice manner when the user learns the target vocabulary, and pushing the detailed contents for distinguishing the target vocabulary from the associated vocabulary to the user, the complicated steps of manually searching and recording the analysis contents of the associated vocabulary by the user can be reduced, and the vocabulary learning efficiency of the user is improved; in addition, the target vocabulary and the associated vocabulary are added to the vocabulary map of the user, and the relation between the target vocabulary and the associated vocabulary is established according to the difference analysis content of the target vocabulary and the associated vocabulary, so that the learning effect of the user when reviewing the vocabulary by using the vocabulary map of the user is improved, and the personalized vocabulary learning requirement of the user is met; in addition, by constructing the triple structure for the target vocabulary, the associated vocabulary and the analysis keywords which belong to the triple structure together with the target vocabulary can be exported together for the user to review when the target vocabulary is called each time, and further, the exported sign information and the study notes can be combined to better deepen the memory of the study content; in addition, recommendation levels are set for the triples based on the calling times of the triples in the vocabulary map, learning contents corresponding to the triples with higher recommendation levels can be preferentially output to the user, and the user can review weak knowledge points.
EXAMPLE seven
Referring to fig. 7, fig. 7 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. As shown in fig. 7, the electronic device may include:
a memory 701 in which executable program code is stored;
a processor 702 coupled to the memory 701;
the processor 702 calls the executable program code stored in the memory 701 to execute any of the vocabulary map building methods shown in fig. 1 to 3.
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute any one vocabulary map building method shown in figures 1-3.
Embodiments of the present invention also disclose a computer program product, wherein, when the computer program product is run on a computer, the computer is caused to execute part or all of the steps of the method as in the above method embodiments.
The embodiment of the present invention also discloses an application publishing platform, which is used for publishing a computer program product, wherein when the computer program product runs on a computer, the computer is caused to execute part or all of the steps of the method in the above method embodiments.
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 hardware, and the programs may be stored in a computer-readable storage medium, which 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 vocabulary atlas setting method and the electronic equipment 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 vocabulary atlas construction method, the method comprising:
aiming at a target vocabulary of a current learning page, receiving an association vocabulary input by a user;
according to the target vocabulary and the associated vocabulary, acquiring detailed contents for distinguishing the target vocabulary and the associated vocabulary, and pushing the detailed contents to the user; the detailed analysis content comprises vocabulary analysis content of the target vocabulary, vocabulary analysis content of the associated vocabulary and difference analysis content between the target vocabulary and the associated vocabulary;
adding the target vocabulary to the vocabulary atlas of the user according to the vocabulary analysis content of the target vocabulary, and adding the associated vocabulary to the vocabulary atlas of the user according to the vocabulary analysis content of the associated vocabulary;
and establishing a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user according to the difference analysis content, so that the associated vocabulary establishing the relation with the target vocabulary is pushed to the user when the user reviews the target vocabulary.
2. The method of claim 1, wherein prior to receiving the associated vocabulary input by the user for the target vocabulary of the current learning page, the method further comprises:
acquiring the vocabulary level of a user;
aiming at a target vocabulary of a current learning page, outputting a reference vocabulary set matched with the vocabulary level on the current learning page;
the receiving of the associated vocabulary input by the user aiming at the target vocabulary of the current learning page comprises the following steps:
and receiving the associated vocabulary selected and input by the user in the reference vocabulary set aiming at the target vocabulary of the current learning page.
3. The method according to claim 1 or 2, wherein the associating the target vocabulary and the associated vocabulary in the vocabulary atlas of the user according to the difference analysis content comprises:
performing text segmentation on the difference analysis content to obtain a plurality of text segments;
classifying the differential analysis content according to the text segments to obtain analysis keywords matched with the differential analysis content; the analysis keyword is one or any combination of spelling, pronunciation, part of speech or semantics;
and establishing a relation between the target vocabulary and the associated vocabulary according to the analysis keyword so as to construct a target triple in the vocabulary atlas of the user, wherein the target triple comprises the target vocabulary, the associated vocabulary and the analysis keyword.
4. The method of claim 3, wherein after associating the target vocabulary and the associated vocabulary according to the parsed keyword, the method further comprises:
when the target vocabulary is detected to be marked as a learned state, receiving labeling information and learning notes input by the user for the detailed contents on the current learning page;
labeling the labeling information, the learning notes and the detailed contents according to the target triple and storing the labeling information, the learning notes and the detailed contents in a preset database, so that when the associated vocabulary connected with the target vocabulary is pushed to the user, the labeling information, the learning notes and the detailed contents are derived from the preset database according to the label corresponding to the target triple.
5. The method of claim 4, wherein each triplet in the user's vocabulary map is labeled with a corresponding recommendation level corresponding to a number of invocations of each triplet in the user's vocabulary map.
6. An electronic device, characterized in that the electronic device comprises:
the first receiving module is used for receiving the associated vocabulary input by the user aiming at the target vocabulary of the current learning page;
the pushing module is used for acquiring detailed contents for distinguishing the target vocabulary and the associated vocabulary according to the target vocabulary and the associated vocabulary and pushing the detailed contents to the user; the detailed analysis content comprises vocabulary analysis content of the target vocabulary, vocabulary analysis content of the associated vocabulary and difference analysis content between the target vocabulary and the associated vocabulary;
the adding module is used for adding the target vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the target vocabulary and adding the associated vocabulary to the vocabulary map of the user according to the vocabulary analysis content of the associated vocabulary;
the building module is used for establishing a relation between the target vocabulary and the associated vocabulary in the vocabulary atlas of the user according to the difference analysis content, and pushing the associated vocabulary establishing the relation with the target vocabulary to the user when the user reviews the target vocabulary.
7. The electronic device of claim 6, further comprising:
the output module is used for acquiring the vocabulary level of the user before the first receiving module receives the associated vocabulary input by the user aiming at the target vocabulary of the current learning page, and outputting a reference vocabulary set matched with the vocabulary level on the current learning page aiming at the target vocabulary of the current learning page;
the first receiving module is specifically configured to receive, for a target vocabulary of a current learning page, an association vocabulary selected and input by a user from the reference vocabulary set.
8. The electronic device of claim 6 or 7, wherein the building module comprises:
the segmentation submodule is used for performing text segmentation on the difference analysis content to obtain a plurality of text segments;
the classification submodule is used for classifying the differential analysis content according to the text segments so as to obtain analysis keywords matched with the differential analysis content; the analysis keyword is one or any combination of spelling, pronunciation, part of speech or semantics;
and the construction sub-module is used for establishing a relation between the target vocabulary and the associated vocabulary according to the analysis keyword so as to construct a target triple in the vocabulary atlas of the user, wherein the target triple comprises the target vocabulary, the associated vocabulary and the analysis keyword.
9. The electronic device of claim 8, further comprising:
the second receiving module is used for receiving the labeling information and the learning notes input by the user for the detailed explanation content on the current learning page when the target vocabulary is detected to be marked as a learned state after the construction sub-module establishes a connection between the target vocabulary and the associated vocabulary according to the analysis keyword;
and the storage module is used for labeling the labeling information, the learning notes and the detailed contents according to the target triple and storing the labeling information, the learning notes and the detailed contents in a preset database so as to derive the labeling information, the learning notes and the detailed contents from the preset database according to the label corresponding to the target triple when the associated vocabulary associated with the target vocabulary is pushed to the user.
10. The electronic device of claim 9, wherein each triplet in the user's vocabulary map is labeled with a corresponding recommendation level corresponding to a number of calls made to each triplet in the user's vocabulary map.
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| CN111597305B (en) * | 2020-05-15 | 2020-12-22 | 法政国际教育投资有限公司 | Entity marking method, entity marking device, computer equipment and storage medium |
| CN113407668B (en) * | 2021-06-11 | 2022-10-11 | 武夷学院 | Data processing method and device for cognitive association capacity training |
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