CN109710726A - Interactive learning methods based on personalized trainer aircraft - Google Patents
Interactive learning methods based on personalized trainer aircraft Download PDFInfo
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- CN109710726A CN109710726A CN201810755224.1A CN201810755224A CN109710726A CN 109710726 A CN109710726 A CN 109710726A CN 201810755224 A CN201810755224 A CN 201810755224A CN 109710726 A CN109710726 A CN 109710726A
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Abstract
The invention discloses a kind of interactive learning methods based on personalized trainer aircraft, it fills a vacancy including voice vocabulary leakage detection, whether each word or phrase are in voice vocabulary inventory's storage unit module or any voice new word collection memory module in identification target vocabulary inventory storage unit module, if the word or phrase ignore the word or phrase in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module；If the word or phrase not in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, are inserted voice new word and filled a vacancy table memory module by the word or phrase.The present invention improves user's learning efficiency, improves usage experience, enriches functions of the equipments.
Description
Technical field
The present invention relates to language learner technical fields, more specifically, are related to a kind of language based on personalized trainer aircraft
Say learning method.
Background technique
The learning characteristic of language learner combination different language, and using computer communication technology etc., it not only can be from language
Method, hearing, read-write etc. assist user learn language, but also the training that can take an exam, reading training, listen reading training
With audiovisual training etc..For example, application No. is " a kind of intelligent language learning machines " of CN201610355849.X, mainly there is provided
The re-reading exercising method for allowing user to record and playing automatically.But existing language learner technology lacks personalized coach
The problems such as function causes user's learning efficiency low, and it is poor that there are usage experiences, and functions of the equipments are more single.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of language learnings based on personalized trainer aircraft
Method makes language learner have coach function, progress scoring function, intelligent leakage detection and fills a vacancy function, improves user's study
Efficiency improves usage experience, and functions of the equipments are compared with horn of plenty.
The purpose of the present invention is achieved through the following technical solutions: a kind of language learning based on personalized trainer aircraft
Method, the personalization trainer aircraft includes that voice vocabulary leakage detection is filled a vacancy module, is filled a vacancy step S1 for executing voice vocabulary leakage detection；
S11. voice vocabulary leakage detection is filled a vacancy step, for identify in target vocabulary inventory's storage unit module each word or
Whether phrase is in voice vocabulary inventory's storage unit module or any voice new word collection memory module, if the word or phrase exist
In voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then ignore the word or phrase；If should
Word or phrase not in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then by the word or
Phrase inserts voice new word and fills a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in voice short essay public purse memory module and language with voice new word one by one
It is searched in sound example sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the short essay or example sentence are uploaded
Voice short essay or voice example sentence to server, and the word or phrase are entered into candidate mechanism；With
S12. the first detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step
S1。
Further, which is characterized in that the personalization trainer aircraft includes that words leakage detection is filled a vacancy module, for executing
Words leakage detection is filled a vacancy step S2；
S21. words leakage detection is filled a vacancy step, for identify in target vocabulary inventory's storage unit module each word or
Whether phrase is in words inventory's storage unit module or any text new word collection memory module, if the word or phrase exist
In words inventory's storage unit module or in a certain text new word collection memory module, then ignore the word or phrase；If should
Word or phrase not in words inventory's storage unit module or in a certain text new word collection memory module, then by the word or
Phrase inserts text new word and fills a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in text short essay public purse memory module and text with text new word one by one
It is searched in word example sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the short essay or example sentence are uploaded
Text short essay or text example sentence to server, and the word or phrase are entered into candidate mechanism；With
S22. the second detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step
S21。
Further, the personalized trainer aircraft includes that grammer point leakage detection is filled a vacancy module, is mended for executing grammer point leakage detection
Lack step S3；
S31. grammer point leakage detection is filled a vacancy step, for identifying each grammer in target grammer point public purse storage unit module
Whether point is in grammer point inventory's storage unit module or any grammer point set memory module, if the grammer point is in grammer point inventory
In storage unit module or in a certain grammer point set memory module, then ignore the grammer point；If the grammer point is not or not grammer point library
In storage unit module or in a certain grammer point set memory module, then the grammer point is inserted into grammer point and filled a vacancy table memory module,
Then
It is searched in grammer point public purse memory module with the grammer point grammer point in table memory module of filling a vacancy one by one, if
Have, short essay or example sentence generate new class where the grammer point；If nothing, the text short essay or text example sentence of the grammer point are uploaded
To server, and the grammer point is entered into candidate mechanism；With
S32. third detecting step, if detecting the voice short essay or example sentence containing the grammer point, starting step
S31。
Further, every class amount containing new word control is 25.
The beneficial effects of the present invention are:
(1) present invention makes language learner have coach function, progress scoring function, intelligent voice vocabulary leakage detection to fill a vacancy
Function, intelligent grammer point leakage detection are filled a vacancy function, new function are increased for conventional language learner system, for conventional
Learning method devises new process, enriches functions of the equipments, keeps language learner use value higher, improves user and learns effect
Rate improves usage experience.
(2) present invention focuses on simulating learned a foreign language mother tongue environment, focuses on carrying out latent meaning to learner under mother tongue environment
Know the developing language intuition and training of deep layer.
(3) present invention not only abandons the conventional method that foreign language learning is memorize mechanicallyd, and effectively solves word and grammer note
Incessantly and note pain spot loosely.
(4) present invention effectively solves the universal pain spot of China's English teaching so-called " Dumb English " or " deaf and dumb voice ".
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is method and step figure of the invention.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, but protection scope of the present invention is not limited to
It is as described below.All features disclosed in this specification, or implicit disclosed all methods or in the process the step of, in addition to mutual
Other than the feature and/or step of repulsion, it can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract and attached drawing), except non-specifically chatting
It states, can be replaced by other alternative features that are equivalent or have similar purpose.That is, unless specifically stated, each feature is only
It is an example in a series of equivalent or similar characteristics.
Specific embodiments of the present invention are described more fully below, it should be noted that the embodiments described herein is served only for illustrating
Illustrate, is not intended to restrict the invention.In the following description, in order to provide a thorough understanding of the present invention, a large amount of spies are elaborated
Determine details.It will be apparent, however, to one skilled in the art that: this hair need not be carried out using these specific details
It is bright.In other instances, in order to avoid obscuring the present invention, well known circuit, software or method are not specifically described.
As shown in Figure 1, a kind of interactive learning methods based on personalized trainer aircraft, the personalization trainer aircraft includes voice
Vocabulary leakage detection is filled a vacancy module, is filled a vacancy step S1 for executing voice vocabulary leakage detection；
S11. voice vocabulary leakage detection is filled a vacancy step, for identify in target vocabulary inventory's storage unit module each word or
Whether phrase is in voice vocabulary inventory's storage unit module or any voice new word collection memory module, if the word or phrase exist
In voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then ignore the word or phrase；If should
Word or phrase not in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then by the word or
Phrase inserts voice new word and fills a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in voice short essay public purse memory module and language with voice new word one by one
It is searched in sound example sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the short essay or example sentence are uploaded
Voice short essay or voice example sentence to server, and the word or phrase are entered into candidate mechanism；With
S12. the first detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step
S1。
Further, which is characterized in that the personalization trainer aircraft includes that words leakage detection is filled a vacancy module, for executing
Words leakage detection is filled a vacancy step S2；
S21. words leakage detection is filled a vacancy step, for identify in target vocabulary inventory's storage unit module each word or
Whether phrase is in words inventory's storage unit module or any text new word collection memory module, if the word or phrase exist
In words inventory's storage unit module or in a certain text new word collection memory module, then ignore the word or phrase；If should
Word or phrase not in words inventory's storage unit module or in a certain text new word collection memory module, then by the word or
Phrase inserts text new word and fills a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in text short essay public purse memory module and text with text new word one by one
It is searched in word example sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the short essay or example sentence are uploaded
Text short essay or text example sentence to server, and the word or phrase are entered into candidate mechanism；With
S22. the second detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step
S21。
Further, the personalized trainer aircraft includes that grammer point leakage detection is filled a vacancy module, is mended for executing grammer point leakage detection
Lack step S3；
S31. grammer point leakage detection is filled a vacancy step, for identifying each grammer in target grammer point public purse storage unit module
Whether point is in grammer point inventory's storage unit module or any grammer point set memory module, if the grammer point is in grammer point inventory
In storage unit module or in a certain grammer point set memory module, then ignore the grammer point；If the grammer point is not or not grammer point library
In storage unit module or in a certain grammer point set memory module, then the grammer point is inserted into grammer point and filled a vacancy table memory module,
Then
It is searched in grammer point public purse memory module with the grammer point grammer point in table memory module of filling a vacancy one by one, if
Have, short essay or example sentence generate new class where the grammer point；If nothing, the text short essay or text example sentence of the grammer point are uploaded
To server, and the grammer point is entered into candidate mechanism；With
S32. third detecting step, if detecting the voice short essay or example sentence containing the grammer point, starting step
S31。
Further, every class amount containing new word control is 25.
Embodiment 1
A kind of interactive learning methods based on personalized trainer aircraft, the personalization trainer aircraft include that voice vocabulary leakage detection is mended
Module is lacked, is filled a vacancy step S1 for executing voice vocabulary leakage detection；
S11. voice vocabulary leakage detection is filled a vacancy step, for identify in target vocabulary inventory's storage unit module each word or
Whether phrase is in voice vocabulary inventory's storage unit module or any voice new word collection memory module, if the word or phrase exist
In voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then ignore the word or phrase；If should
Word or phrase not in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then by the word or
Phrase inserts voice new word and fills a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in voice short essay public purse memory module and language with voice new word one by one
It is searched in sound example sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the short essay or example sentence are uploaded
Voice short essay or voice example sentence to server, and the word or phrase are entered into candidate mechanism；With
S12. the first detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step
S1。
Remaining technical characteristic in the present embodiment, those skilled in the art can flexibly be selected according to the actual situation
With with to meet different specific actual demands.It will be apparent, however, to one skilled in the art that: it need not use
These specific details carry out the present invention.In other instances, in order to avoid obscuring the present invention, well known calculation is not specifically described
Method, method or system etc. limit within technical protection scope in the claimed technical solution of claims of the present invention.
For the aforementioned method embodiment, for simple description, therefore, it is stated as a series of action combinations, still
Those skilled in the art should understand that the application is not limited by the described action sequence, because according to the application, it is a certain
A little steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know that, it is retouched in specification
The embodiment stated belongs to preferred embodiment, necessary to related movement and unit not necessarily the application.
It will be appreciated by those of skill in the art that unit described in conjunction with the examples disclosed in the embodiments of the present disclosure and
Algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually with hard
Part or software mode execute, the specific application and design constraint depending on technical solution.Professional technician can be with
Each specific application is come to realize described function using distinct methods, but this realization should not exceed model of the invention
It encloses.
Disclosed system, module and method, may be implemented in other ways.For example, device described above
Embodiment, only schematically, for example, the division of the unit, can be only a kind of logical function partition, it is practical to realize
When there may be another division manner, such as multiple units or components can be combined or can be integrated into another system, or
Some features can be ignored or not executed.Another point, shown or discussed mutual coupling or direct-coupling or communication
Connection is it may be said that through some interfaces, the indirect coupling or communication connection of device or unit can be electrical property, mechanical or other
Form.
The unit that the discrete parts illustrates can be or can not also receive and is physically separated, shown as a unit
Component can be or can not receive physical unit, it can and it is in one place, or may be distributed over multiple network lists
In member.It can select some or all of unit therein according to the actual needs to realize the purpose of the scheme of the present embodiment.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially right in other words
The part of part or the technical solution that the prior art contributes can be embodied in the form of software products, the calculating
Machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be individual
Computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.And
Storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory
The various media that can store program code such as device (Random Access Memory, RAM), magnetic or disk.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in the method for above-described embodiment, being can
It is completed with instructing relevant hardware by computer program, the program can be stored in computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, ROM, RAM etc..
The above is only a preferred embodiment of the present invention, it should be understood that the present invention is not limited to described herein
Form should not be regarded as an exclusion of other examples, and can be used for other combinations, modifications, and environments, and can be at this
In the text contemplated scope, modifications can be made through the above teachings or related fields of technology or knowledge.And those skilled in the art institute into
Capable modifications and changes do not depart from the spirit and scope of the present invention, then all should be in the protection scope of appended claims of the present invention
It is interior.
Claims (3)
1. a kind of interactive learning methods based on personalized trainer aircraft, which is characterized in that the personalization trainer aircraft includes voice
Vocabulary leakage detection is filled a vacancy module, is filled a vacancy step S1 for executing voice vocabulary leakage detection；
S11. voice vocabulary leakage detection is filled a vacancy step, for identifying each word or phrase in target vocabulary inventory's storage unit module
Whether in voice vocabulary inventory's storage unit module or any voice new word collection memory module, if the word or phrase are in voice
In lexicon storage unit module or in a certain voice new word collection memory module, then ignore the word or phrase；If the word
Or phrase is in voice vocabulary inventory's storage unit module or in a certain voice new word collection memory module, then by the word or phrase
It inserts voice new word to fill a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in voice short essay public purse memory module and voice example with voice new word one by one
It is searched in sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the language of the short essay or example sentence is uploaded
The word or phrase are entered candidate mechanism to server by sound short essay or voice example sentence；With
S12. the first detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step S1.
2. the interactive learning methods according to claim 1 based on personalized trainer aircraft, which is characterized in that its feature exists
In the personalization trainer aircraft includes that words leakage detection is filled a vacancy module, is filled a vacancy step S2 for executing words leakage detection；
S21. words leakage detection is filled a vacancy step, for identifying each word or phrase in target vocabulary inventory's storage unit module
Whether in words inventory's storage unit module or any text new word collection memory module, if the word or phrase are in text
In lexicon storage unit module or in a certain text new word collection memory module, then ignore the word or phrase；If the word
Or phrase is in words inventory's storage unit module or in a certain text new word collection memory module, then by the word or phrase
It inserts text new word to fill a vacancy table memory module, then
Word in table memory module and phrase are filled a vacancy in text short essay public purse memory module and text example with text new word one by one
It is searched in sentence public purse module, if so, generating new class with the short essay or example sentence；If nothing, the text of the short essay or example sentence is uploaded
The word or phrase are entered candidate mechanism to server by word short essay or text example sentence；With
S22. the second detecting step, if detecting the voice short essay or example sentence containing the word or phrase, starting step S21.
3. the interactive learning methods according to claim 1 or 2 based on personalized trainer aircraft, which is characterized in that described
Property trainer aircraft includes that grammer point leakage detection is filled a vacancy module, is filled a vacancy step S3 for executing grammer point leakage detection；
S31. grammer point leakage detection is filled a vacancy step, is for identifying each grammer point in target grammer point public purse storage unit module
It is no in grammer point inventory's storage unit module or any grammer point set memory module, if the grammer point stored in grammer point library it is single
In element module or in a certain grammer point set memory module, then ignore the grammer point；If the grammer point does not store in grammer point library
In unit module or in a certain grammer point set memory module, then the grammer point is inserted into grammer point and filled a vacancy table memory module, then
It is searched in grammer point public purse memory module with the grammer point grammer point in table memory module of filling a vacancy one by one, if so, with
Short essay or example sentence generate new class where the grammer point；If nothing, the text short essay or text example sentence for uploading the grammer point are extremely taken
Business device, and the grammer point is entered into candidate mechanism；With
S32. third detecting step, if detecting the voice short essay or example sentence containing the grammer point, starting step S31.
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| CN201810755224.1A CN109710726A (en) | 2018-07-11 | 2018-07-11 | Interactive learning methods based on personalized trainer aircraft |
Applications Claiming Priority (1)
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310790A (en) * | 2012-03-08 | 2013-09-18 | 富泰华工业（深圳）有限公司 | Electronic device and voice identification method |
| CN105354331A (en) * | 2015-12-02 | 2016-02-24 | 深圳大学 | Online video based vocabulary learning aiding method and vocabulary learning system |
| CN107909523A (en) * | 2017-12-06 | 2018-04-13 | 姜岚 | A kind of interactive learning methods and its learning system |
-
2018
- 2018-07-11 CN CN201810755224.1A patent/CN109710726A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310790A (en) * | 2012-03-08 | 2013-09-18 | 富泰华工业（深圳）有限公司 | Electronic device and voice identification method |
| CN105354331A (en) * | 2015-12-02 | 2016-02-24 | 深圳大学 | Online video based vocabulary learning aiding method and vocabulary learning system |
| CN107909523A (en) * | 2017-12-06 | 2018-04-13 | 姜岚 | A kind of interactive learning methods and its learning system |
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