CN109635125A - Vocabulary atlas building method and electronic equipment - Google Patents

Vocabulary atlas building method and electronic equipment Download PDF

Info

Publication number
CN109635125A
CN109635125A CN201811560159.3A CN201811560159A CN109635125A CN 109635125 A CN109635125 A CN 109635125A CN 201811560159 A CN201811560159 A CN 201811560159A CN 109635125 A CN109635125 A CN 109635125A
Authority
CN
China
Prior art keywords
vocabulary
user
target
content
association glossary
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811560159.3A
Other languages
Chinese (zh)
Other versions
CN109635125B (en
Inventor
韦肖莹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Genius Technology Co Ltd
Original Assignee
Guangdong Genius Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Genius Technology Co Ltd filed Critical Guangdong Genius Technology Co Ltd
Priority to CN201811560159.3A priority Critical patent/CN109635125B/en
Publication of CN109635125A publication Critical patent/CN109635125A/en
Application granted granted Critical
Publication of CN109635125B publication Critical patent/CN109635125B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

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

A kind of vocabulary map building method and electronic equipment
Technical field
The present invention relates to knowledge mapping technical fields, and in particular to a kind of vocabulary map building method and electronic equipment.
Background technique
During study is with building up one's vocabulary of English words, it is easy to obscure vocabulary similar in some morphologies or the meaning of a word, example Such as, desert (desert) and dessert (dessert), treaty (treaty) and pact (agreement), defective (defective) With deficient (insufficient) etc..Easily vocabulary is obscured to help user to distinguish, most of word softwares can be in a certain vocabulary The vocabulary detailed annotation page provides several near synonym of the vocabulary, so that user refers to.However, when the nearly justice of word software offer Word do not include that user to be distinguished easily when obscuring vocabulary, user also needs manual removal search easily to obscure in the vocabulary parsing of vocabulary Hold, and voluntarily records.As it can be seen that this mode can not provide according to the vocabulary deposit of user itself and easily obscure vocabulary and its vocabulary Content is parsed, and then is unable to satisfy the personalized study of words demand of user.
Summary of the invention
The embodiment of the invention discloses a kind of vocabulary map building method and electronic equipments, can satisfy the personalization of user Study of words demand.
First aspect of the embodiment of the present invention discloses a kind of vocabulary map building method, which comprises
For the target vocabulary of the current study page, the association glossary of user's input is received;
According to the target vocabulary and the association glossary, obtain for distinguishing the target vocabulary and the association glossary Detailed annotation content, and by the detailed annotation content push give the user;The detailed annotation content includes the vocabulary of the target vocabulary Difference solution between parsing content, the vocabulary parsing content of the association glossary and the target vocabulary and the association glossary Analyse content;
Content is parsed according to the vocabulary of the target vocabulary, the target vocabulary is added to the vocabulary figure of the user Spectrum, and, content is parsed according to the vocabulary of the association glossary, the association glossary is added to the vocabulary figure of the user Spectrum;
According to the interpretation of the difference content, to the target vocabulary and the associational word in the vocabulary map of the user It converges and establishes connection, will be contacted with target vocabulary foundation described in the user review target vocabulary Think that vocabulary is pushed to the user.
As an alternative embodiment, in first aspect of the embodiment of the present invention, described for current study page The target vocabulary in face, before receiving the association glossary that user inputs, the method also includes:
Obtain the vocabulary grade of user;
For the target vocabulary of the current study page, in the current study page output and the vocabulary grade phase The reference lexical set matched;
The target vocabulary for the current study page, receives the association glossary of user's input, comprising:
For the target vocabulary of the current study page, user is received described with reference to the association for selecting input in lexical set Vocabulary.
As an alternative embodiment, in first aspect of the embodiment of the present invention, it is described according to the interpretation of the difference Content establishes connection to the target vocabulary and the association glossary in the vocabulary map of the user, comprising:
Text segmentation is carried out to the interpretation of the difference content, to obtain several text fragments;
According to several text fragments, the interpretation of the difference content is sorted out, to obtain and the interpretation of the difference The parsing keyword that content matches;The parsing keyword is spelling, pronunciation, part of speech or the one of which or any in semanteme Combination;
According to the parsing keyword, connection is established to the target vocabulary and the association glossary, in the user Vocabulary map in construct target triple, the target triple includes the target vocabulary, the association glossary and institute State parsing keyword.
As an alternative embodiment, in first aspect of the embodiment of the present invention, according to the parsing keyword, After establishing connection to the target vocabulary and the association glossary, the method also includes:
When detecting that the target vocabulary is marked as learning state, the user is received in the current study page Markup information and learning notes of the face for the detailed annotation content input;
According to the target triple, mark is sticked to the markup information, the learning notes and the detailed annotation content It signs and stores to presetting database, the association glossary contacted with target vocabulary foundation is being pushed to the user When, the markup information, the learning pen are exported from the presetting database according to the corresponding label of the target triple Note and the detailed annotation content.
As an alternative embodiment, in first aspect of the embodiment of the present invention, to the vocabulary map of the user In each triple mark corresponding recommendation grade, each ternary in the vocabulary map of the recommendation grade and the user The call number of group is corresponding.
Second aspect of the embodiment of the present invention discloses a kind of electronic equipment, and the electronic equipment includes:
First receiving module receives the association glossary of user's input for the target vocabulary for the current study page;
Pushing module, for obtaining for distinguishing the target vocabulary according to the target vocabulary and the association glossary With the detailed annotation content of the association glossary, and by the detailed annotation content push give the user;The detailed annotation content includes described Vocabulary parsing content, the vocabulary parsing content of the association glossary and the target vocabulary of target vocabulary and the associational word Interpretation of the difference content between remittance;
The target vocabulary is added to described by adding module for parsing content according to the vocabulary of the target vocabulary The vocabulary map of user, and, content is parsed according to the vocabulary of the association glossary, the association glossary is added to the use The vocabulary map at family;
Module is constructed, is used for according to the interpretation of the difference content, to the target word in the vocabulary map of the user It converges and the association glossary establishes connection, will be built with the target vocabulary when the user reviews the target vocabulary The association glossary of vertical connection is pushed to the user.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the electronic equipment further include:
It is defeated to receive user for the target vocabulary in first receiving module for the current study page for output module Before the association glossary entered, the vocabulary grade of user is obtained, and for the target vocabulary of the current study page, described current The reference lexical set that study page output matches with the vocabulary grade;
First receiving module receives user in the ginseng specifically for the target vocabulary for the current study page Examine the association glossary that input is selected in lexical set.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the building module, comprising:
Divide submodule, for carrying out text segmentation to the interpretation of the difference content, to obtain several text fragments;
Sort out submodule, for sorting out to the interpretation of the difference content according to several text fragments, to obtain The parsing keyword to match with the interpretation of the difference content;The parsing keyword is in spelling, pronunciation, part of speech or semanteme One of or any combination;
Submodule is constructed, for establishing connection to the target vocabulary and the association glossary according to the parsing keyword System, to construct target triple in the vocabulary map of the user, the target triple includes the target vocabulary, described Association glossary and the parsing keyword.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the electronic equipment further include:
Second receiving module, in the building submodule according to the parsing keyword, to the target vocabulary with The association glossary is established after connection, when detecting that the target vocabulary is marked as learning state, receives the use Family is in the current study page for the markup information and learning notes of the detailed annotation content input;
Memory module, for according to the target triple, to the markup information, the learning notes and it is described in detail Solution content is labelled and stores to presetting database, to push away by the association glossary contacted with target vocabulary foundation When giving the user, the mark is exported from the presetting database according to the corresponding label of the target triple and is believed Breath, the learning notes and the detailed annotation content.
As an alternative embodiment, in second aspect of the embodiment of the present invention, to the vocabulary map of the user In each triple mark corresponding recommendation grade, each ternary in the vocabulary map of the recommendation grade and the user The call number of group is corresponding.
The third aspect of the embodiment of the present invention discloses a kind of electronic equipment, comprising:
It is stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, executes the embodiment of the present invention the A kind of vocabulary map building method disclosed in one side.
Fourth aspect of the embodiment of the present invention discloses a kind of computer readable storage medium, stores computer program, wherein The computer program makes computer execute a kind of vocabulary map building method disclosed in first aspect of the embodiment of the present invention.
The 5th aspect of the embodiment of the present invention discloses a kind of computer program product, when the computer program product is calculating When being run on machine, so that the computer executes some or all of any one method of first aspect step.
The aspect of the embodiment of the present invention the 6th disclose a kind of using distribution platform, and the application distribution platform is for publication calculating Machine program product, wherein when the computer program product is run on computers, so that the computer executes first party Some or all of any one method in face step.
Compared with prior art, the embodiment of the present invention has the advantages that
Implement the embodiment of the present invention, by the detection user association glossary that voice inputs in learning objective vocabulary, will use In the detailed annotation content push for distinguishing target vocabulary and association glossary to user, the solution of user's manual search association glossary can be reduced Analysis content and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by target vocabulary and association Vocabulary is added to the vocabulary map of user, and according to target vocabulary and the interpretation of the difference content of association glossary to target vocabulary and connection Think that vocabulary establishes connection, is conducive to improve learning effect when user reviews vocabulary using the vocabulary map of oneself, meet The personalized study of words demand of user.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached Figure.
Fig. 1 is a kind of flow diagram of vocabulary map building method disclosed by the embodiments of the present invention;
Fig. 2 is the flow diagram of another vocabulary map building method disclosed by the embodiments of the present invention;
Fig. 3 is the flow diagram of another vocabulary map building method disclosed by the embodiments of the present invention;
Fig. 4 is the structural schematic diagram of a kind of electronic equipment disclosed by the embodiments of the present invention;
Fig. 5 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention;
Fig. 6 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention;
Fig. 7 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts Example is applied, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a kind of vocabulary map building method and electronic equipments, can satisfy the personalization of user Study of words demand.It is described in detail below in conjunction with attached drawing.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of flow diagram of vocabulary map building method disclosed by the embodiments of the present invention.Such as Shown in Fig. 1, which be may comprise steps of.
101, for the target vocabulary of the current study page, electronic equipment receives the association glossary of user's input.
Vocabulary map building method disclosed by the embodiments of the present invention is suitable for smart phone (such as Android phone, iOS hand Machine etc.), tablet computer, palm PC, (Ultra-mobile Personal Computer, super mobile personal calculate UMPC Machine), net book and mobile internet device, PAD etc. include specifically, being applied also for above-mentioned in the electronic equipment of touch screen Web application, APP or special-purpose software in electronic equipment.
In the embodiment of the present invention, electronic equipment can receive user in associational word by providing association glossary input area The association glossary that the input area that converges inputs, also can receive and identifies the association glossary of user speech input, not make to this specific It limits.
102, according to target vocabulary and association glossary, electronic equipment is obtained for distinguishing the detailed of target vocabulary and association glossary Content is solved, and content push will be explained in detail to user;Detailed annotation content includes the word of the vocabulary parsing content of target vocabulary, association glossary The interpretation of the difference content converged between parsing content and target vocabulary and association glossary.
In the embodiment of the present invention, electronic equipment can be obtained from presetting database target vocabulary vocabulary parsing content, Interpretation of the difference content between the vocabulary parsing content and target vocabulary and association glossary of association glossary, can also pass through connection Internet grabs disclosed parsing content relevant to target vocabulary and association glossary on internet, so that user refers to, This is not construed as limiting.
In the embodiment of the present invention, the interpretation of the difference content between target vocabulary and association glossary may include admiring target vocabulary In the spelling interpretation of the difference content of association glossary, pronunciation interpretation of the difference content, part of speech interpretation of the difference content and semantic parsing One or more of them combination in appearance, is not construed as limiting this.For example, vocabulary " affect " and vocabulary " effect ", two The Chinese meaning of person can indicate " to influence ", and interpretation of the difference content includes: that " affect " initial is spelled as alphabetical " a ", " effect " initial is spelled as " e " (spelling difference system parsing content);The pronunciation of " affect " is The pronunciation of " effect " is "/I ' fekt/ " (pronunciation interpretation of the difference content);When the meaning of " affect " is " influence ", actuation is used Word when the meaning of " effect " is " influence ", is used as noun (part of speech interpretation of the difference content);" affect " refers to " influence of generation It is big to be enough to cause to react ", the movement " influenced " emphatically, and " effect " " causes " emphatically a kind of special effect (semantic poor Different parsing content).
103, content is parsed according to the vocabulary of target vocabulary, target vocabulary is added to the vocabulary figure of user by electronic equipment Spectrum, and, content is parsed according to the vocabulary of association glossary, association glossary is added to the vocabulary map of user by electronic equipment.
In the embodiment of the present invention, vocabulary map is more relational graphs that the vocabulary learnt for user generates, and is generally comprised The node of polymorphic type and a plurality of types of sides.In vocabulary map, node is the vocabulary that user learnt, and is directed to according to user The association glossary of vocabulary map is added in the corresponding vocabulary of any node in vocabulary map, and above-mentioned node is corresponding with association glossary Node establishes connection by side, and the side between two nodes branch is corresponding with parsing keyword, parsing keyword include to spell, Pronunciation, part of speech or one of which or any combination in semanteme, and it is related to the interpretation of the difference content of two nodes.
104, according to interpretation of the difference content, electronic equipment builds target vocabulary and association glossary in the vocabulary map of user Vertical connection, will establish the association glossary contacted with target vocabulary and be pushed to user when user reviews target vocabulary.
As it can be seen that implementing method described in Fig. 1, pass through the detection user associational word that voice inputs in learning objective vocabulary It converges, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, the association of user's manual search can be reduced The parsing content of vocabulary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by target word Remittance and association glossary are added to the vocabulary map of user, and according to target vocabulary and the interpretation of the difference content of association glossary to target Vocabulary and association glossary establish connection, are conducive to improve study effect when user reviews vocabulary using the vocabulary map of oneself Fruit meets the personalized study of words demand of user.
Embodiment two
Referring to Fig. 2, Fig. 2 is the flow diagram of another vocabulary map building method disclosed by the embodiments of the present invention. As shown in Fig. 2, the vocabulary map building method may comprise steps of.
201, electronic equipment obtains the vocabulary grade of user.
202, for the target vocabulary of the current study page, electronic equipment is in currently study page output and vocabulary grade The reference lexical set to match.
203, for the target vocabulary of the current study page, electronic equipment reception user selects defeated in reference lexical set The association glossary entered.
In the embodiment of the present invention, the vocabulary grade of user is related to the vocabulary of user, for example, 0~1000 vocabulary is Level-one, 1000~2000 vocabulary are second level, and 2000~3000 vocabulary are level Four, can also be with some common English exam grades Correlation, for example, 4000 vocabulary correspond to College English Test, 6000 vocabulary correspond to College English Test 6000 etc., do not limit this It is fixed.
As it can be seen that implement 201~step 203 of above-mentioned steps, by combining the vocabulary of user horizontal and target vocabulary The information such as pronunciation, spelling and semanteme can export the reference lexical set to match with user's vocabulary level and carry out to user Selection, so that being more accurately bonded the real demand of user with reference to the reference vocabulary provided in lexical set.
It is appreciated that vocabulary map can also there are corresponding relationships with the vocabulary grade of user, as a kind of optional Embodiment can be associated with vocabulary map by account by register account number, and when logging in the account, will close with account The vocabulary map of connection is updated to the background server connecting with electronic equipment, and step 202 can specifically include:
According to the vocabulary grade of user, electronic equipment obtains several reference words to match with the vocabulary grade of user Converge map, it is above-mentioned each with reference to vocabulary map correspond to other registered accounts;It is above-mentioned each with reference in vocabulary map Target vocabulary is searched for, and extracts all associated with reference to vocabulary with target vocabulary, refers to lexical set to be added to;To reference Lexical set is screened, and refers to vocabulary so that preferential recommendation repetitive rate is higher;In currently study page output after screening With reference to lexical set.
204, according to target vocabulary and association glossary, electronic equipment is obtained for distinguishing the detailed of target vocabulary and association glossary Content is solved, and content push will be explained in detail to user;Detailed annotation content includes the word of the vocabulary parsing content of target vocabulary, association glossary The interpretation of the difference content converged between parsing content and target vocabulary and association glossary.
205, content is parsed according to the vocabulary of target vocabulary, target vocabulary is added to the vocabulary figure of user by electronic equipment Spectrum, and, content is parsed according to the vocabulary of association glossary, association glossary is added to the vocabulary map of user by electronic equipment.
206, according to interpretation of the difference content, electronic equipment builds target vocabulary and association glossary in the vocabulary map of user Vertical connection, will establish the association glossary contacted with target vocabulary and be pushed to user when user reviews target vocabulary.
As it can be seen that implementing method described in Fig. 2, pass through the detection user associational word that voice inputs in learning objective vocabulary It converges, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, the association of user's manual search can be reduced The parsing content of vocabulary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by target word Remittance and association glossary are added to the vocabulary map of user, and according to target vocabulary and the interpretation of the difference content of association glossary to target Vocabulary and association glossary establish connection, are conducive to improve study effect when user reviews vocabulary using the vocabulary map of oneself Fruit meets the personalized study of words demand of user;In addition, by combining the vocabulary of user horizontal and target vocabulary The information such as pronunciation, spelling and semanteme, can export the reference lexical set that matches with user's vocabulary level to user into Row selection, so that being more accurately bonded the real demand of user with reference to the reference vocabulary provided in lexical set.
Embodiment three
Referring to Fig. 3, Fig. 3 is the flow diagram of another vocabulary map building method disclosed by the embodiments of the present invention. As shown in figure 3, the vocabulary map building method may comprise steps of.
301, electronic equipment obtains the vocabulary grade of user.
302, for the target vocabulary of the current study page, electronic equipment is in currently study page output and vocabulary grade The reference lexical set to match.
303, for the target vocabulary of the current study page, electronic equipment reception user selects defeated in reference lexical set The association glossary entered.
304, according to target vocabulary and association glossary, electronic equipment is obtained for distinguishing the detailed of target vocabulary and association glossary Content is solved, and content push will be explained in detail to user;Detailed annotation content includes the word of the vocabulary parsing content of target vocabulary, association glossary The interpretation of the difference content converged between parsing content and target vocabulary and association glossary.
305, content is parsed according to the vocabulary of target vocabulary, target vocabulary is added to the vocabulary figure of user by electronic equipment Spectrum, and, content is parsed according to the vocabulary of association glossary, association glossary is added to the vocabulary map of user by electronic equipment.
306, electronic equipment carries out text segmentation to interpretation of the difference content, to obtain several text fragments.
307, according to several text fragments, electronic equipment sorts out interpretation of the difference content, with acquisition and interpretation of the difference The parsing keyword that content matches.
The present invention is in embodiment, and parsing keyword is one of or any group in spelling, pronunciation, part of speech or semanteme It closes.It is appreciated that interpretation of the difference content includes obscuring the solution specifically parsed for target vocabulary and the easy of association glossary Content is analysed, therefore, by the type of parsing content included by analysis interpretation of the difference content, target vocabulary and association can be based on Easily obscuring a little for vocabulary, establishes connection to target vocabulary and association glossary.
308, according to parsing keyword, electronic equipment establishes connection to target vocabulary and association glossary, in the word of user Target triple is constructed in remittance map, target triple includes target vocabulary, association glossary and parsing keyword.
As it can be seen that implementing 306~step 308 of above-mentioned steps, by target vocabulary, association glossary and parsing keyword structure Triple structure is built, can will belong to the associational word of a triple structure with target vocabulary in each invocation target vocabulary It converges and parsing keyword exports jointly, so that user reviews.
As an alternative embodiment, this programme further include:
Electronic equipment receives user in currently study page needle when detecting that target vocabulary is marked as learning state To the markup information and learning notes of detailed annotation content input.
According to target triple, electronic equipment is labelled simultaneously to above-mentioned markup information, learning notes and detailed annotation content It stores to presetting database, with when will establish the association glossary contacted with target vocabulary and be pushed to user, according to target ternary The corresponding label of group exports above-mentioned markup information, learning notes and detailed annotation content from presetting database.
As it can be seen that implementing optional embodiment, pass through the markup information and learning notes and target vocabulary for inputting user Corresponding relationship is established with triple belonging to association glossary, and is stored, user is enabled to review target vocabulary and connection When thinking vocabulary, in conjunction with derived flag information and learning notes, preferably deepen the memory to learning Content.
In the embodiment of the present invention, electronic equipment is to corresponding recommendation of each triple mark etc. in the vocabulary map of user Grade, recommendation grade are corresponding with the call number of each triple in the vocabulary map of user, it will be understood that triple Call number is higher, illustrates that the learning effect for the vocabulary that user includes to the triple is lower, thus user more need repeatedly it is multiple The vocabulary that the triple includes is practised, to consolidate relevant knowledge point.As it can be seen that the calling based on the triple in vocabulary map time Recommendation grade is arranged for triple in number, can preferentially export in study corresponding to the higher triple of recommendation grade to user Hold, so that user is directed to weak knowledge point and reviews.
As an alternative embodiment, electronic equipment is in word when user reviews the first vocabulary in vocabulary map Search includes all triples of the first vocabulary in remittance map, to be added to recommendation triplet sets;Based on recommendation grade, to upper It states all triples to be ranked up from high to low, the recommendation triplet sets after obtaining sequence;According to the recommendation ternary after sequence The triple for the top N that sorts in group set, obtains associated with the first vocabulary N number of recommendation vocabulary, and by above-mentioned N number of recommendation word Remittance is pushed to user, and N is preset recommendation vocabulary quantity;If detecting user for above-mentioned N number of the second word recommended in vocabulary The detailed annotation of remittance is requested, and according to triple belonging to the first vocabulary and the second vocabulary, obtains corresponding parsing keyword, the second vocabulary For to any recommendation vocabulary in above-mentioned N number of recommendation vocabulary;According to the detailed annotation of parsing keyword export the first vocabulary and the second vocabulary Content, by detailed annotation content push to user.
As it can be seen that method described in implementing Fig. 3, passes through the detection user associational word that voice inputs in learning objective vocabulary It converges, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, the association of user's manual search can be reduced The parsing content of vocabulary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by target word Remittance and association glossary are added to the vocabulary map of user, and according to target vocabulary and the interpretation of the difference content of association glossary to target Vocabulary and association glossary establish connection, are conducive to improve study effect when user reviews vocabulary using the vocabulary map of oneself Fruit meets the personalized study of words demand of user;In addition, by target vocabulary, association glossary and parsing keyword Triple structure is constructed, can will belong to the association of a triple structure with target vocabulary in each invocation target vocabulary Vocabulary and parsing keyword export jointly, so that user reviews, further, additionally it is possible in conjunction with derived flag information And learning notes, preferably deepen the memory to learning Content;In addition, the call number based on the triple in vocabulary map, Recommendation grade is set for triple, preferentially can export learning Content corresponding to the higher triple of recommendation grade to user, So that user is directed to weak knowledge point and reviews.
Example IV
Referring to Fig. 4, Fig. 4 is the structural schematic diagram of a kind of electronic equipment disclosed by the embodiments of the present invention.As shown in figure 4, The electronic equipment may include the first receiving module 401, pushing module 402, adding module 403 and construct module 404, In:
First receiving module 401 receives the associational word of user's input for the target vocabulary for the current study page It converges.
Pushing module 402, for obtaining for distinguishing target vocabulary and association glossary according to target vocabulary and association glossary Detailed annotation content, and will detailed annotation content push to user;Detailed annotation content includes vocabulary the parsing content, association glossary of target vocabulary Vocabulary parsing content and target vocabulary and association glossary between interpretation of the difference content.
Target vocabulary is added to the vocabulary of user for parsing content according to the vocabulary of target vocabulary by adding module 403 Map, and, content is parsed according to the vocabulary of association glossary, association glossary is added to the vocabulary map of user.
Module 404 is constructed, is used for according to interpretation of the difference content, to target vocabulary and associational word in the vocabulary map of user It converges and establishes connection, will establish the association glossary contacted with target vocabulary and be pushed to user when user reviews target vocabulary.
As it can be seen that implementing electronic equipment described in Fig. 4, pass through the detection user connection that voice inputs in learning objective vocabulary Think vocabulary, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, user's manual search can be reduced The parsing content of association glossary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by mesh Mark vocabulary and association glossary are added to the vocabulary map of user, and according to the interpretation of the difference content pair of target vocabulary and association glossary Target vocabulary and association glossary establish connection, are conducive to improve study when user reviews vocabulary using the vocabulary map of oneself Effect meets the personalized study of words demand of user.
Embodiment five
Referring to Fig. 5, Fig. 5 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Wherein, Fig. 5 Shown in electronic equipment be that electronic equipment as shown in Figure 4 optimizes.Compared with electronic equipment shown in Fig. 4, Electronic equipment shown in fig. 5 can also include:
Output module 405 receives user for the target vocabulary in the first receiving module 401 for the current study page Before the association glossary of input, the vocabulary grade of user is obtained, and for the target vocabulary of the current study page, is learned currently Practise the reference lexical set that page output matches with vocabulary grade.
It is appreciated that vocabulary map can also there are corresponding relationships with the vocabulary grade of user, as a kind of optional Embodiment can be associated with vocabulary map by account by register account number, and when logging in the account, will close with account The vocabulary map of connection is updated to the background server connecting with electronic equipment, mesh of the output module 405 for the current study page Vocabulary is marked, in the mode for the reference lexical set that currently output of the study page matches with vocabulary grade specifically:
Output module 405, for the vocabulary grade according to user, if what the vocabulary grade of acquisition and user matched Trepang examines vocabulary map, it is above-mentioned each with reference to vocabulary map correspond to other registered accounts;In each above-mentioned reference word It converges and searches for target vocabulary in map, and extract all associated with reference to vocabulary with target vocabulary, refer to word finder to be added to It closes;Reference lexical set is screened, refers to vocabulary so that preferential recommendation repetitive rate is higher;In currently study page output warp Reference lexical set after screening.
First receiving module 401 receives user in reference vocabulary specifically for the target vocabulary for the current study page The association glossary of input is selected in set.
As it can be seen that implementing electronic equipment described in Fig. 5, pass through the detection user connection that voice inputs in learning objective vocabulary Think vocabulary, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, user's manual search can be reduced The parsing content of association glossary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by mesh Mark vocabulary and association glossary are added to the vocabulary map of user, and according to the interpretation of the difference content pair of target vocabulary and association glossary Target vocabulary and association glossary establish connection, are conducive to improve study when user reviews vocabulary using the vocabulary map of oneself Effect meets the personalized study of words demand of user;In addition, by combining the vocabulary of user horizontal and target word The information such as pronunciation, spelling and the semanteme of remittance can export the reference lexical set to match with user's vocabulary level to user It is selected, so that being more accurately bonded the real demand of user with reference to the reference vocabulary provided in lexical set.
Embodiment six
Referring to Fig. 6, Fig. 6 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Wherein, Fig. 6 Shown in electronic equipment be that electronic equipment as shown in Figure 5 optimizes.Compared with electronic equipment shown in fig. 5, Electronic equipment shown in fig. 6 can also include the second receiving module 406 and memory module 407, in which:
Construct module 404, comprising:
Divide submodule 4041, for carrying out text segmentation to interpretation of the difference content, to obtain several text fragments;
Sort out submodule 4042, for according to several text fragments, interpretation of the difference content sorted out, with obtain with it is poor The parsing keyword that different parsing content matches;Parsing keyword be spelling, pronunciation, part of speech or one of which in semanteme or times Meaning combination;
Construct submodule 4043, for establishing connection to target vocabulary and association glossary according to parsing keyword, with Target triple is constructed in the vocabulary map at family, target triple includes target vocabulary, association glossary and parsing keyword.
Second receiving module 406, for constructing submodule 4043 according to parsing keyword, to target vocabulary and associational word It converges and establishes after connection, when detecting that target vocabulary is marked as learning state, receive user in currently study page needle To the markup information and learning notes of detailed annotation content input.
Memory module 407, for sticking mark to markup information, learning notes and detailed annotation content according to target triple It signs and stores to presetting database, with when will establish the association glossary contacted with target vocabulary and be pushed to user, according to target The corresponding label of triple exports markup information, learning notes and detailed annotation content from presetting database.
In the embodiment of the present invention, corresponding recommendation grade is marked to each triple in the vocabulary map of user, is recommended Grade is corresponding with the call number of each triple in the vocabulary map of user.
As an alternative embodiment, the electronic equipment is also used to review the first vocabulary in vocabulary map in user When, search includes all triples of the first vocabulary in vocabulary map, to be added to recommendation triplet sets;Based on recommendation etc. Grade, above-mentioned all triples are ranked up from high to low, the recommendation triplet sets after obtaining sequence;According to pushing away after sequence The triple for recommending the top N that sorts in triplet sets, obtains N number of recommendation vocabulary associated with the first vocabulary, and will be above-mentioned N number of Vocabulary is recommended to be pushed to user, N is preset recommendation vocabulary quantity;If detecting user in above-mentioned N number of recommendation vocabulary The detailed annotation of second vocabulary is requested, and according to triple belonging to the first vocabulary and the second vocabulary, obtains corresponding parsing keyword, the Two vocabulary are to any recommendation vocabulary in above-mentioned N number of recommendation vocabulary;The first vocabulary and the second vocabulary are exported according to parsing keyword Detailed annotation content, will detailed annotation content push to user.
As it can be seen that implementing electronic equipment described in Fig. 6, pass through the detection user connection that voice inputs in learning objective vocabulary Think vocabulary, by the detailed annotation content push for being used to distinguish target vocabulary and association glossary to user, user's manual search can be reduced The parsing content of association glossary and many and diverse step recorded, improve the study of words efficiency of user;In addition, by by mesh Mark vocabulary and association glossary are added to the vocabulary map of user, and according to the interpretation of the difference content pair of target vocabulary and association glossary Target vocabulary and association glossary establish connection, are conducive to improve study when user reviews vocabulary using the vocabulary map of oneself Effect meets the personalized study of words demand of user;In addition, by crucial to target vocabulary, association glossary and parsing Word constructs triple structure, the connection of a triple structure can will be belonged to target vocabulary in each invocation target vocabulary Think that vocabulary and parsing keyword export jointly, so that user reviews, further, additionally it is possible to believe in conjunction with derived mark Breath and learning notes preferably deepen the memory to learning Content;In addition, the calling based on the triple in vocabulary map time Recommendation grade is arranged for triple in number, can preferentially export in study corresponding to the higher triple of recommendation grade to user Hold, so that user is directed to weak knowledge point and reviews.
Embodiment seven
Referring to Fig. 7, Fig. 7 is the structural schematic diagram of another electronic equipment disclosed by the embodiments of the present invention.Such as Fig. 7 institute Show, which may include:
It is stored with the memory 701 of executable program code;
The processor 702 coupled with memory 701;
Wherein, processor 702 calls the executable program code stored in memory 701, executes shown in FIG. 1 to FIG. 3 Any one vocabulary map building method.
The embodiment of the present invention discloses a kind of computer readable storage medium, stores computer program, wherein the computer Program makes computer execute any one vocabulary map building method of FIG. 1 to FIG. 3.
A kind of computer program product is also disclosed in the embodiment of the present invention, wherein when computer program product on computers When operation, so that computer executes some or all of the method in such as above each method embodiment step.
The embodiment of the present invention is also disclosed a kind of using distribution platform, this is using distribution platform for issuing computer program production Product, wherein when above-mentioned computer program product is run on computers, so that computer executes such as the above each method embodiment In some or all of method step.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage Medium include read-only memory (Read-Only Memory, ROM), random access memory (RandomAccess Memory, RAM), Programmable read only memory (Programmable Read-only Memory, PROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One-time Programmable Read-OnlyMemory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory (Electrically- Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact Disc Read- Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can be used in carry or Any other computer-readable medium of storing data.
A kind of vocabulary map building method disclosed by the embodiments of the present invention and electronic equipment are described in detail above, Used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only used In facilitating the understanding of the method and its core concept of the invention;At the same time, for those skilled in the art, according to the present invention Thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as Limitation of the present invention.

Claims (10)

1. a kind of vocabulary map building method, which is characterized in that the described method includes:
For the target vocabulary of the current study page, the association glossary of user's input is received;
According to the target vocabulary and the association glossary, obtain for distinguishing the detailed of the target vocabulary and the association glossary Content is solved, and gives the detailed annotation content push to the user;The detailed annotation content includes the vocabulary parsing of the target vocabulary In interpretation of the difference between content, the vocabulary parsing content of the association glossary and the target vocabulary and the association glossary Hold;
Content is parsed according to the vocabulary of the target vocabulary, the target vocabulary is added to the vocabulary map of the user, with And content is parsed according to the vocabulary of the association glossary, the association glossary is added to the vocabulary map of the user;
According to the interpretation of the difference content, the target vocabulary and the association glossary are built in the vocabulary map of the user Vertical connection, the associational word contacted will be established with the target vocabulary when the user reviews the target vocabulary Remittance is pushed to the user.
2. the method according to claim 1, wherein being connect in the target vocabulary for the current study page Before the association glossary for receiving user's input, the method also includes:
Obtain the vocabulary grade of user;
For the target vocabulary of the current study page, match in the current study page output with the vocabulary grade With reference to lexical set;
The target vocabulary for the current study page, receives the association glossary of user's input, comprising:
For the target vocabulary of the current study page, user is received described with reference to the associational word for selecting input in lexical set It converges.
3. method according to claim 1 or 2, which is characterized in that it is described according to the interpretation of the difference content, in the use Connection is established to the target vocabulary and the association glossary in the vocabulary map at family, comprising:
Text segmentation is carried out to the interpretation of the difference content, to obtain several text fragments;
According to several text fragments, the interpretation of the difference content is sorted out, to obtain and the interpretation of the difference content The parsing keyword to match;The parsing keyword is one of or any group in spelling, pronunciation, part of speech or semanteme It closes;
According to the parsing keyword, connection is established to the target vocabulary and the association glossary, in the word of the user Target triple is constructed in remittance map, the target triple includes the target vocabulary, the association glossary and the solution Analyse keyword.
4. according to the method described in claim 3, it is characterized in that, according to the parsing keyword, to the target vocabulary After establishing connection with the association glossary, the method also includes:
When detecting that the target vocabulary is marked as learning state, the user is received in the current study page needle To the markup information and learning notes of the detailed annotation content input;
It is labelled simultaneously to the markup information, the learning notes and the detailed annotation content according to the target triple It stores to presetting database, with when that will establish the association glossary that contacts with the target vocabulary and be pushed to the user, According to the corresponding label of the target triple exported from the presetting database markup information, the learning notes with And the detailed annotation content.
5. according to the method described in claim 4, it is characterized in that, to each triple mark in the vocabulary map of the user Corresponding recommendation grade is infused, the recommendation grade is opposite with the call number of each triple in the vocabulary map of the user It answers.
6. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
First receiving module receives the association glossary of user's input for the target vocabulary for the current study page;
Pushing module, for obtaining for distinguishing the target vocabulary and institute according to the target vocabulary and the association glossary The detailed annotation content of association glossary is stated, and gives the detailed annotation content push to the user;The detailed annotation content includes the target The vocabulary parsing content of vocabulary, the vocabulary parsing content of the association glossary and the target vocabulary and the association glossary it Between interpretation of the difference content;
The target vocabulary is added to the user for parsing content according to the vocabulary of the target vocabulary by adding module Vocabulary map, and, according to the vocabulary of the association glossary parse content, the association glossary is added to the user's Vocabulary map;
Construct module, for according to the interpretation of the difference content, in the vocabulary map of the user to the target vocabulary and The association glossary establishes connection, will establish and join with the target vocabulary when the user reviews the target vocabulary The association glossary of system is pushed to the user.
7. electronic equipment according to claim 6, which is characterized in that the electronic equipment further include:
Output module receives user's input for the target vocabulary in first receiving module for the current study page Before association glossary, the vocabulary grade of user is obtained, and for the target vocabulary of the current study page, in the current study The reference lexical set that page output matches with the vocabulary grade;
First receiving module receives user in the reference word specifically for the target vocabulary for the current study page Collect the association glossary that input is selected in closing.
8. electronic equipment according to claim 6 or 7, which is characterized in that the building module, comprising:
Divide submodule, for carrying out text segmentation to the interpretation of the difference content, to obtain several text fragments;
Sort out submodule, for sorting out to the interpretation of the difference content according to several text fragments, with acquisition and institute State the parsing keyword that interpretation of the difference content matches;The parsing keyword be spelling, pronunciation, in part of speech or semanteme wherein A kind of or any combination;
Submodule is constructed, for establishing connection to the target vocabulary and the association glossary according to the parsing keyword, with Target triple is constructed in the vocabulary map of the user, the target triple includes the target vocabulary, the association Vocabulary and the parsing keyword.
9. electronic equipment according to claim 8, which is characterized in that the electronic equipment further include:
Second receiving module, in the building submodule according to the parsing keyword, to the target vocabulary and described Association glossary is established after connection, when detecting that the target vocabulary is marked as learning state, is received the user and is existed Markup information and learning notes of the current study page for the detailed annotation content input;
Memory module is used for according to the target triple, in the markup information, the learning notes and the detailed annotation Hold labelled and store to presetting database, to be pushed to by the association glossary contacted with target vocabulary foundation When the user, the markup information, institute are exported from the presetting database according to the corresponding label of the target triple State learning notes and the detailed annotation content.
10. electronic equipment according to claim 9, which is characterized in that in the vocabulary map of the user each three Tuple marks corresponding recommendation grade, the calling time of the recommendation grade and each triple in the vocabulary map of the user Number is corresponding.
CN201811560159.3A 2018-12-20 2018-12-20 Vocabulary atlas building method and electronic equipment Active CN109635125B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811560159.3A CN109635125B (en) 2018-12-20 2018-12-20 Vocabulary atlas building method and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811560159.3A CN109635125B (en) 2018-12-20 2018-12-20 Vocabulary atlas building method and electronic equipment

Publications (2)

Publication Number Publication Date
CN109635125A true CN109635125A (en) 2019-04-16
CN109635125B CN109635125B (en) 2021-01-26

Family

ID=66075769

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811560159.3A Active CN109635125B (en) 2018-12-20 2018-12-20 Vocabulary atlas building method and electronic equipment

Country Status (1)

Country Link
CN (1) CN109635125B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111260965A (en) * 2020-01-17 2020-06-09 宇龙计算机通信科技(深圳)有限公司 Word stock generation method and related device
CN111597305A (en) * 2020-05-15 2020-08-28 法政国际教育投资有限公司 Entity marking method, entity marking device, computer equipment and storage medium
CN113407668A (en) * 2021-06-11 2021-09-17 武夷学院 Data processing method and device for cognitive association capacity training

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080250011A1 (en) * 2007-04-09 2008-10-09 Alexander Haubold Method and apparatus for query expansion based on multimodal cross-vocabulary mapping
KR101508070B1 (en) * 2013-12-17 2015-04-07 울산대학교 산학협력단 Method for word sense diambiguration of polysemy predicates using UWordMap
CN105956052A (en) * 2016-04-27 2016-09-21 青岛海尔软件有限公司 Building method of knowledge map based on vertical field
CN107273477A (en) * 2017-06-09 2017-10-20 北京光年无限科技有限公司 A kind of man-machine interaction method and device for robot
CN107346183A (en) * 2017-06-29 2017-11-14 维沃移动通信有限公司 A kind of vocabulary recommends method and electronic equipment
CN107391906A (en) * 2017-06-19 2017-11-24 华南理工大学 Health diet knowledge network construction method based on neutral net and collection of illustrative plates structure
CN107545000A (en) * 2016-06-28 2018-01-05 百度在线网络技术(北京)有限公司 The information-pushing method and device of knowledge based collection of illustrative plates
CN107609052A (en) * 2017-08-23 2018-01-19 中国科学院软件研究所 A kind of generation method and device of the domain knowledge collection of illustrative plates based on semantic triangle
CN107807957A (en) * 2017-09-30 2018-03-16 北京奇虎科技有限公司 entity library generating method and device
CN107920266A (en) * 2017-11-20 2018-04-17 安徽亿联智能有限公司 A kind of set-top box users knowledge mapping make
CN108897887A (en) * 2018-07-10 2018-11-27 华南师范大学 A kind of teaching resource recommended method of knowledge based map and user's similarity

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080250011A1 (en) * 2007-04-09 2008-10-09 Alexander Haubold Method and apparatus for query expansion based on multimodal cross-vocabulary mapping
KR101508070B1 (en) * 2013-12-17 2015-04-07 울산대학교 산학협력단 Method for word sense diambiguration of polysemy predicates using UWordMap
CN105956052A (en) * 2016-04-27 2016-09-21 青岛海尔软件有限公司 Building method of knowledge map based on vertical field
CN107545000A (en) * 2016-06-28 2018-01-05 百度在线网络技术(北京)有限公司 The information-pushing method and device of knowledge based collection of illustrative plates
CN107273477A (en) * 2017-06-09 2017-10-20 北京光年无限科技有限公司 A kind of man-machine interaction method and device for robot
CN107391906A (en) * 2017-06-19 2017-11-24 华南理工大学 Health diet knowledge network construction method based on neutral net and collection of illustrative plates structure
CN107346183A (en) * 2017-06-29 2017-11-14 维沃移动通信有限公司 A kind of vocabulary recommends method and electronic equipment
CN107609052A (en) * 2017-08-23 2018-01-19 中国科学院软件研究所 A kind of generation method and device of the domain knowledge collection of illustrative plates based on semantic triangle
CN107807957A (en) * 2017-09-30 2018-03-16 北京奇虎科技有限公司 entity library generating method and device
CN107920266A (en) * 2017-11-20 2018-04-17 安徽亿联智能有限公司 A kind of set-top box users knowledge mapping make
CN108897887A (en) * 2018-07-10 2018-11-27 华南师范大学 A kind of teaching resource recommended method of knowledge based map and user's similarity

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙小欣: "基于潜在语义分析的学科知识图谱构建", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
张萍等: "词汇联想研究:前世、今生、未来", 《外语教学理论与实践》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111260965A (en) * 2020-01-17 2020-06-09 宇龙计算机通信科技(深圳)有限公司 Word stock generation method and related device
CN111260965B (en) * 2020-01-17 2021-11-16 宇龙计算机通信科技(深圳)有限公司 Word stock generation method and related device
CN111597305A (en) * 2020-05-15 2020-08-28 法政国际教育投资有限公司 Entity marking method, entity marking device, computer equipment and storage medium
CN113407668A (en) * 2021-06-11 2021-09-17 武夷学院 Data processing method and device for cognitive association capacity training
CN113407668B (en) * 2021-06-11 2022-10-11 武夷学院 Data processing method and device for cognitive association capacity training

Also Published As

Publication number Publication date
CN109635125B (en) 2021-01-26

Similar Documents

Publication Publication Date Title
US8762404B2 (en) Information search system, method, and program, and information search service providing method
CN112650840A (en) Intelligent medical question-answering processing method and system based on knowledge graph reasoning
CN106649786A (en) Deep question answer-based answer retrieval method and device
CN101299217B (en) Method, apparatus and system for processing map information
CN108920450A (en) Knowledge point reviewing method based on electronic equipment and electronic equipment
CN109635125A (en) Vocabulary atlas building method and electronic equipment
CN109817046A (en) Learning auxiliary method based on family education equipment and family education equipment
JP2016045652A (en) Enquiry sentence generation device and computer program
CN101251862A (en) Content-based problem automatic classifying method and system
CN107086040A (en) Speech recognition capabilities method of testing and device
CN108897887A (en) A kind of teaching resource recommended method of knowledge based map and user's similarity
CN108334493A (en) A kind of topic knowledge point extraction method based on neural network
CN110164217A (en) It a kind of online question and answer and reviews from surveying tutoring system
CN108021682A (en) Open information extracts a kind of Entity Semantics method based on wikipedia under background
CN109063182A (en) Content recommendation method based on voice search questions and electronic equipment
KR102146433B1 (en) Method for providing context based language learning service using associative memory
Yin et al. An api learning service for inexperienced developers based on api knowledge graph
CN109871430A (en) A kind of method, apparatus, electronic equipment and the storage medium of intelligent recognition text
CN109766442A (en) method and system for classifying user notes
Hsieh et al. The Influence of Gender Difference on the Information-Seeking Behaviors for the Graphical Interface of Children's Digital Library.
CN109062654A (en) Interactive learning method and system
CN106528764A (en) Retrieval method and device for question type retrieval word
CN110008314A (en) Intention analysis method and device
CN111813919B (en) MOOC course evaluation method based on syntactic analysis and keyword detection
CN109284364B (en) Interactive vocabulary updating method and device for voice microphone-connecting interaction

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant