CN107633721A - A kind of error analysis method, apparatus and system for language learning - Google Patents
A kind of error analysis method, apparatus and system for language learning Download PDFInfo
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- CN107633721A CN107633721A CN201710744180.8A CN201710744180A CN107633721A CN 107633721 A CN107633721 A CN 107633721A CN 201710744180 A CN201710744180 A CN 201710744180A CN 107633721 A CN107633721 A CN 107633721A
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Abstract
The present invention relates to a kind of error analysis method, apparatus and system for language learning, this method includes：Obtain multiple users to answer the answer to be analyzed that language examination question obtains, be analysed to answer and contrasted with model answer and error analysis, obtain error analysis result；The personal information of each user is obtained, and statistics and analysis is carried out to error analysis result according to the personal information of whole users.A kind of error analysis method, apparatus and system for language learning provided by the invention, the error analysis result being collected into is analyzed by the personal information according to a large number of users, realize the error analysis that group is carried out for substantial amounts of user group, it can obtain, with more targetedly error analysis result, being easy to subsequently instruct the language learning of special group.
Description
Technical field
The present invention relates to data analysis field, more particularly to a kind of error analysis method, apparatus for language learning and
System.
Background technology
Error analysis, it is the caused analysis of carry out system by mistake partially during second language learning to learner,
Its source is studied, discloses the interlingual system of learner, so as to understand the process of second language learning and rule.This is included partially by mistake
How caused it is, which type of mistake etc. partially can occurs in the different study stages.
At present, data are missed partially, it is necessary to artificially collect for analysis partially by mistake, then the inclined data by mistake of collection are arranged
Conclude and analysis, this mode can expend many manpowers and time energy, and collecting effect is also bad, be typically only capable to count every kind of
The essential information such as the frequency of occurrences of mistake and number, the error analysis that substantial amounts of user group carries out group can not be directed to, and
And the inclined data by mistake of magnanimity can not be handled.
The content of the invention
The technical problems to be solved by the invention are in view of the shortcomings of the prior art, there is provided a kind of for the inclined of language learning
Analysis method, apparatus and system by mistake.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：
A kind of error analysis method for language learning, including：
Obtain multiple users to answer the answer to be analyzed that language examination question obtains, the answer to be analyzed is entered with model answer
Row contrast and error analysis, obtain error analysis result；
Obtain the personal information of each user, and according to the personal information of all users to the error analysis
As a result statistics and analysis is carried out.
The beneficial effects of the invention are as follows：A kind of error analysis method for language learning provided by the invention, passes through root
The error analysis result being collected into is analyzed according to the personal information of a large number of users, realizes and enters for substantial amounts of user group
The error analysis of row group, it can obtain, with more targetedly error analysis result, being easy to subsequently instruct special group
Language learning.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, it is described to obtain multiple users and answer the answer to be analyzed that language examination question obtains, to be analyzed answered described
Case carries out contrast with model answer and error analysis specifically includes：
Whole users word answer to be analyzed, vocabulary answer to be analyzed and grammer that language examination question obtains of answering is obtained to treat point
Analyse answer；
Respectively by word answer to be analyzed, vocabulary answer to be analyzed and grammer answer to be analyzed and word
Model answer, vocabulary model answer and grammer model answer is contrasted and error analysis.
It is using the above-mentioned further beneficial effect of scheme：It is to be analyzed by obtaining word answer to be analyzed, vocabulary respectively
Answer and grammer answer to be analyzed simultaneously carry out error analysis, it is possible to achieve comprehensive analysis of the language learning to user, to user
Inclined situation by mistake grasp more comprehensively.
Further, the personal information for obtaining each user, and according to the personal information of all users
Statistics and analysis is carried out to the error analysis result to specifically include：
Obtain age information, gender information, nationality's information and the language acquisition degree information of all users；
Respectively according to the age information, the gender information, nationality's information and the language acquisition degree information
Statistics and analysis is carried out to the error analysis result.
It is using the above-mentioned further beneficial effect of scheme：By obtaining the age information of user, gender information, Guo Jixin
The information such as breath and language acquisition degree information, further according to these information to occurring analyzing partially by mistake, can analyze difference
The inclined of the language learners such as age, different nationalities, different sexes and different language Grasping level is inclined to by mistake, can have more
Pointedly the language learning situation to user instructs.
The another technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of error analysis device for language learning, including：
First acquisition unit, answered the answer to be analyzed that language examination question obtains for obtaining multiple users；
First processing units, for the answer to be analyzed and model answer to be contrasted and error analysis, obtain partially
Analysis result by mistake；
Second acquisition unit, for obtaining the personal information of each user；
Second processing unit, for being counted according to the personal information of all users to the error analysis result
And analysis.
The beneficial effects of the invention are as follows：A kind of error analysis device for language learning provided by the invention, passes through root
The error analysis result being collected into is analyzed according to the personal information of a large number of users, realizes and enters for substantial amounts of user group
The error analysis of row group, it can obtain, with more targetedly error analysis result, being easy to subsequently instruct special group
Language learning.
Further, the first acquisition unit is specifically used for obtaining the whole users word that language examination question obtains of answering and treated
Analyze answer, vocabulary answer to be analyzed and grammer answer to be analyzed；
The first processing units be specifically used for respectively by word answer to be analyzed, vocabulary answer to be analyzed and
The grammer answer to be analyzed is contrasted with Teletext Standard answer, vocabulary model answer and grammer model answer and divided by mistake partially
Analysis.
Further, the second acquisition unit be specifically used for obtaining all the age information of the users, gender information,
Nationality's information and language acquisition degree information；
The second processing unit is specifically used for according to the age information, the gender information, the nationality being believed respectively
Breath and the language acquisition degree information carry out statistics and analysis to the error analysis result.
The another technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of error analysis system for language learning, including：Management terminal, server, user terminal and such as power
Profit requires the error analysis device any one of 4 to 6, wherein：
The management terminal is used to obtain the first teaching resource for language learning, and by first teaching resource
It is transmitted to the server；
The server is used to store first teaching resource；
The user terminal is used to download first teaching resource from the server and shown, and receives user and answer
The answer to be analyzed inputted after language examination question, and the answer to be analyzed is sent to the error analysis device and divide by mistake partially
Analysis.
The beneficial effects of the invention are as follows：A kind of error analysis system for language learning provided by the invention, passes through clothes
Business device provides teaching resource, and collects the answer to be analyzed inputted after language examination question of being answered after user learns, can realize intelligence
Instructed according to inclined language learning of the situation by mistake to user of user on ground.
Further, in addition to：
Acquisition terminal, for gathering the second teaching resource for language learning, and will gather in real time described in real time
Two teaching resources are sent to the user terminal and carry out real-time display.
Further, the user terminal is additionally operable to obtain the 3rd teaching resource for language learning, and by described the
Three teaching resources are uploaded to the server.
Further, first teaching resource, second teaching resource and the 3rd teaching resource are respectively to teach
Learn any of video, teaching audio and teaching text.
The advantages of aspect that the present invention adds, will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by present invention practice.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of error analysis method for language learning provided in an embodiment of the present invention；
Fig. 2 is a kind of flow signal for error analysis method for language learning that another embodiment of the present invention provides
Figure；
Fig. 3 is a kind of structural representation for error analysis device for language learning that another embodiment of the present invention provides
Figure；
Fig. 4 is a kind of structural framing for error analysis system for language learning that another embodiment of the present invention provides
Figure.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in figure 1, the flow for a kind of error analysis method for language learning provided in an embodiment of the present invention is shown
It is intended to, this method comprises the following steps：
S1, obtain multiple users and answer the answer to be analyzed that language examination question obtains, be analysed to answer and enter with model answer
Row contrast and error analysis, obtain error analysis result.
It should be noted that can be answered by the terminal display language examination question such as computer or mobile phone, user, terminal
Obtain being sent in answer acquisition database after answer storing, the answer that then will periodically gather in answer data acquisition database
It is compared with model answer database and error analysis.
For example, can be analyzed by Impala platforms the data collected, Impala platforms are CDH
One component of (Cloudera distribution with Apache Hadoop) is one to mass data parallel processing
Query engine.
Specifically, after Impala platforms receive the answer of terminal transmission of user, each calculating section of Impala platforms
Point directly reads data from HDFS file, carries out Join and Group By polymerizations respectively in each calculate node, each to calculate
Node is sent to the data summarization after processing on the query node for receiving inquiry, and polymerization and most collect by the query node
Sequence interception work afterwards, then, Impala platforms are broken SQL statement to fragmentate to be assigned in each calculate node and counted
Calculate, then result of calculation is analyzed by processor, then the result of analysis is fed back into user and checked, so that user understands
To being missed partially present in Course of Language Learning, and then these mistakes are avoided, reach the more preferable aim of learning.
S2, the personal information of each user is obtained, and error analysis result is carried out according to the personal information of whole users
Statistics and analysis.
Here it is straight that the personal information of user refers to that the sex of user, nationality, age etc. can produce to language learning
The personal information of influence is connect, it is to obtain each feature team learning language to carry out analysis to error analysis result according to personal information
Occur situation partially by mistake during speech, be specifically described below.
For example, carrying out statistics and analysis to the error analysis result of user according to sex, it is found that male is more easy to word occur
Order of strokes mistake, women is more easy near synonym improper use mistake occur, and in follow-up language learning, male user can incite somebody to action
The emphasis of language learning is placed on character stroke sequentially, and the emphasis of language learning can be placed near synonym by female user to be made
With in scene.
This is a kind of statistical, the inclined situation by mistake of user can also be analyzed according to nationality, age etc., so as to
Adjust follow-up study plan.
A kind of error analysis method for language learning that the present embodiment provides, believed by the individual according to a large number of users
Cease and the error analysis result being collected into is analyzed, realize and carry out dividing by mistake partially for group for substantial amounts of user group
Analysis, it can obtain, with more targetedly error analysis result, being easy to subsequently instruct the language learning of special group.
A kind of as shown in Fig. 2 stream of the error analysis method for language learning provided for another embodiment of the present invention
Journey schematic diagram, this method include：
S1, obtain multiple users and answer the answer to be analyzed that language examination question obtains, be analysed to answer and enter with model answer
Row contrast and error analysis, obtain error analysis result.
Preferably, step S1 can be subdivided into following steps：
S11, obtain whole users and answer word answer to be analyzed, vocabulary answer to be analyzed and the grammer that language examination question obtains
Answer to be analyzed.
S12, word answer to be analyzed, vocabulary answer to be analyzed and grammer answer to be analyzed and Teletext Standard are answered respectively
Case, vocabulary model answer and grammer model answer is contrasted and error analysis.
Word answer to be analyzed, vocabulary answer to be analyzed and grammer answer to be analyzed are illustrated separately below.
To be word answer to be analyzed first contrasted with Teletext Standard answer and error analysis.
For example, so that Indonesia Chinese studying person is to " field " sequential write of Chinese character as an example, the lettering pen of Indonesia Chinese studying person
Draw order typical case compared with standard Chinese character order of strokes and be embodied in two aspects of order of strokes and part by mistake partially：Indonesia's Chinese studying
Person first draws a circle, then fills out ten, and this is different from the order of strokes of Teletext Standard answer, and part is also different, outer ring be it is square and
It is not circular, word answer to be analyzed is contrasted with Teletext Standard answer, draws score data and show that correct writing refers to
Lead scheme.
Next vocabulary answer to be analyzed and vocabulary model answer are contrasted and error analysis.
For example, by taking near synonym " horse back " and " at once " as an example, semanteme is respectively to distinguish " in short-term " with " instantaneous ", vocabulary usage
For " spoken language " and " written ".Then, the answer to be analyzed of the vocabulary of language learner is analyzed according to these criterions, example
Such as, National Day has arrived (√) at once, and National Day has arrived (×) at once, at once with regard to winter (√), at once with regard to winter (×) etc.,
Vocabulary answer to be analyzed is compareed with the parameter of vocabulary model answer, draw score data and show correct word option and
Word collocation, the semantic feature etc..
Next grammer answer to be analyzed and grammer model answer are contrasted and error analysis.
For example, by taking BA-sentence as an example, standard clause is：S+ (not/do not have)+N+V+ other compositions, then receiving
After grammer answer to be analyzed, grammer answer to be analyzed is analyzed according to standard clause, for example, you do not give me that this book
(√), you do not give (×) by that this book me, you that this book do not have I (×), that this book you not to my (×) etc., grammer is treated
Analysis answer compareed with the standard clause in grammer model answer, draw score data and show grammatically wrong sentence composition mark and just
True word order.
S2, the personal information of each user is obtained, and error analysis result is carried out according to the personal information of whole users
Statistics and analysis.
Preferably, step S2 can be subdivided into following steps：
S21, obtain age information, gender information, nationality's information and the language acquisition degree information of whole users, the language palm
Hold degree information and refer to grasp situation of the user to learned language, for example, zero-base plinth, primary, middle rank and advanced can be divided into
Deng.
After user has answered language examination question, during server collects language examination question, user this will be obtained
A little personal information, and the answer to be analyzed of these personal information and the user are subjected to relation, using these personal information as treating
The characteristic value of answer is analyzed, so as to subsequent analysis.
S22, respectively according to age information, gender information, nationality's information and language acquisition degree information to error analysis knot
Fruit carries out statistics and analysis.
It should be noted that it is to be believed respectively according to age information, gender information, nationality's information and language acquisition degree here
Breath etc. carries out statistics and analysis to error analysis result.
For example, by taking language learner's writing Chinese characters " field " of the language learner of Indonesia's nationality and S.Korean nationality as an example, by right
The language script analysis of mass users, it is found that the language learner of Indonesia's nationality easily first draws a circle, then fills out ten, and S.Korean nationality
Language learner be not in then this problem, then illustrate for the language learner of Indonesia's nationality, the generally existing Chinese
The mistake of word sequential write, the error analysis database of different personal information can be thus set up, database can be passed through
In error analysis result, find out and the reason for Chinese studying difference occur, carry out that there is targetedly language to different colonies
Learning guide.
A kind of as shown in figure 3, knot of the error analysis device for language learning provided for another embodiment of the present invention
Structure schematic diagram, the device include：
First acquisition unit 11, answered the answer to be analyzed that language examination question obtains for obtaining multiple users.
Preferably, it is to be analyzed to can be used for obtaining whole users word that language examination question obtains of answering for first acquisition unit 11
Answer, vocabulary answer to be analyzed and grammer answer to be analyzed.
First processing units 12, contrasted and error analysis for being analysed to answer and model answer, missed partially
Analysis result.
Preferably, first processing units 12 can be used for word answer to be analyzed, vocabulary answer to be analyzed and language respectively
Method answer to be analyzed and Teletext Standard answer, vocabulary model answer and grammer model answer is contrasted and error analysis.
Second acquisition unit 13, for obtaining the personal information of each user.
Preferably, second acquisition unit 13 can be used for obtaining the age information of whole users, gender information, nationality's information
With language acquisition degree information.
Second processing unit 14, error analysis result is counted and divided for the personal information according to whole users
Analysis.
Preferably, second processing unit 14 can be used for respectively according to age information, gender information, nationality's information and language
Grasping level information carries out statistics and analysis to error analysis result.
A kind of as shown in figure 4, knot of the error analysis system for language learning provided for another embodiment of the present invention
Structure frame diagram, the system include：Error analysis device 1 described in above-described embodiment, in addition to management terminal 2, server 3,
User terminal 4 and acquisition terminal 5, the system is described in detail below.
Management terminal 2 is used to obtain the first teaching resource for language learning, and the first teaching resource is uploaded into clothes
Business device 3.First teaching resource refers to the curriculum video of teaching, teaching text and language examination question etc., the curriculum video of teaching, religion
Text and language examination question etc. is learned to impart knowledge to students to language learner from multiple angles such as word, vocabulary and grammer.
Server 3 is used to store the first teaching resource, for example, can be by setting teaching resource data in server 3
Storehouse, to store the first teaching resource.
User terminal 4 is used to download the first teaching resource from server 3 and shown, user terminal 4 can be mobile phone, computer
Etc. terminal, it is possible to achieve display and the function of being communicated with server 3.For example, curriculum video, display teaching text etc. are played, also
Language examination question can be shown, there is provided options for user selects or provided input frame and supplies user's handwriting input answer, and receives user
Answer the answer to be analyzed inputted after language examination question, and be analysed to answer and be sent to server 3, be sent to partially by server 3
Analytical equipment 1 carries out error analysis by mistake, and the function of error analysis device 1 has been described in detail in the various embodiments described above, no longer superfluous herein
State.
Acquisition terminal 5 is used to gather the second teaching resource for language learning in real time, and gather in real time second is taught
Learn resource and be sent to the progress real-time display of user terminal 4.Here acquisition terminal 5 can be that camera, microphone etc. have letter
The equipment of number input function, relies on Real-time Transmission, it is possible to achieve live, the second teaching resource here of curricula
What is referred to is exactly live instructional video or audio etc..
Preferably, comment area and exchanging area can also be set in user terminal 4, when the problematic proposition of language learner and meaning
When seeing feedback, it can be left a message in comment area, publisher and the person of giving lessons can give reply answer for problem.
Preferably, interactive module can also be set in user terminal 4, it is possible to achieve language learner gives live person's present
Etc. function, to promote the excellent live person of instruction art to carry out more language teachings.
Further, user terminal 4 is additionally operable to obtain the 3rd teaching resource for language learning, and the 3rd teaching is provided
Source is uploaded to server 3.What the 3rd teaching resource here referred to is exactly the teaching that language learner or language master oneself upload
Video, audio or text etc., user upload onto the server the 3rd teaching resource of oneself after 3, can be stored in teaching resource
In database, so that other language learners download and use, language learning enthusiasm can be promoted.
It should be noted that the 3rd teaching resource is uploaded to management terminal 2 by user first by user terminal 4, pass through
After the examination ＆ verification of keeper, upload onto the server in 3, so that other language learners learn.
Reader should be understood that in the description of this specification, reference term " one embodiment ", " some embodiments ", " show
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment or example description, structure,
Material or feature are contained at least one embodiment or example of the present invention.In this manual, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, specific features, structure, material or the feature of description
It can be combined in an appropriate manner in any one or more embodiments or example.In addition, in the case of not conflicting, this
The technical staff in field can be by the different embodiments or example described in this specification and the spy of different embodiments or example
Sign is combined and combined.
It is apparent to those skilled in the art that for convenience of description and succinctly, the dress of foregoing description
The specific work process with unit is put, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it can be passed through
Its mode is realized.For example, device embodiment described above is only schematical, for example, the division of unit, is only
A kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.
The unit illustrated as separating component can be or may not be physically separate, be shown as unit
Part can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected to realize the mesh of scheme of the embodiment of the present invention according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
It is that unit is individually physically present or two or more units are integrated in a unit.It is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme substantially or
Say that the part to be contributed to prior art, or all or part of the technical scheme can be embodied in the form of software product
Out, the computer software product is stored in a storage medium, including some instructions are causing a computer equipment
(can be personal computer, server, or network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-OnlyMemory), deposit at random
Access to memory (RAM, RandomAccessMemory), magnetic disc or CD etc. are various can be with the medium of store program codes.
More than, it is only embodiment of the invention, but protection scope of the present invention is not limited thereto, and it is any to be familiar with
Those skilled in the art the invention discloses technical scope in, various equivalent modifications or substitutions can be readily occurred in,
These modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be wanted with right
The protection domain asked is defined.
Claims (10)
- A kind of 1. error analysis method for language learning, it is characterised in that including：Obtain multiple users to answer the answer to be analyzed that language examination question obtains, the answer to be analyzed and model answer are carried out pair Than and error analysis, obtain error analysis result；Obtain the personal information of each user, and according to the personal information of all users to the error analysis result Carry out statistics and analysis.
- 2. error analysis method according to claim 1, it is characterised in that described to obtain multiple users and answer language examination question Obtained answer to be analyzed, the answer to be analyzed is subjected to contrast with model answer and error analysis specifically includes：Whole users are obtained to answer word answer to be analyzed that language examination question obtains, vocabulary answer to be analyzed and grammer is to be analyzed answers Case；Respectively by word answer to be analyzed, vocabulary answer to be analyzed and grammer answer to be analyzed and Teletext Standard Answer, vocabulary model answer and grammer model answer is contrasted and error analysis.
- 3. error analysis method according to claim 1 or 2, it is characterised in that for obtaining each user People's information, and statistics and analysis is carried out to the error analysis result according to the personal information of all users and specifically included：Obtain age information, gender information, nationality's information and the language acquisition degree information of all users；Respectively according to the age information, the gender information, nationality's information and the language acquisition degree information to institute State error analysis result and carry out statistics and analysis.
- A kind of 4. error analysis device for language learning, it is characterised in that including：First acquisition unit, answered the answer to be analyzed that language examination question obtains for obtaining multiple users；First processing units, for the answer to be analyzed and model answer to be contrasted and error analysis, obtain partially by mistake point Analyse result；Second acquisition unit, for obtaining the personal information of each user；Second processing unit, for the error analysis result to be counted and divided according to the personal information of all users Analysis.
- 5. error analysis device according to claim 4, it is characterised in that the first acquisition unit is specifically used for obtaining Whole users answer word answer to be analyzed, vocabulary answer to be analyzed and the grammer answer to be analyzed that language examination question obtains；The first processing units are specifically used for word answer to be analyzed, vocabulary answer to be analyzed and described respectively Grammer answer to be analyzed and Teletext Standard answer, vocabulary model answer and grammer model answer is contrasted and error analysis.
- 6. the error analysis device according to claim 4 or 5, it is characterised in that the second acquisition unit is specifically used for Obtain age information, gender information, nationality's information and the language acquisition degree information of all users；The second processing unit be specifically used for respectively according to the age information, the gender information, nationality's information and The language acquisition degree information carries out statistics and analysis to the error analysis result.
- A kind of 7. error analysis system for language learning, it is characterised in that including：Management terminal, server, user are whole End and the error analysis device as any one of claim 4 to 6, wherein：The management terminal is used to obtain the first teaching resource for language learning, and first teaching resource is uploaded to The server；The server is used to store first teaching resource；The user terminal is used to download first teaching resource from the server and shown, and receives user and answer language The answer to be analyzed inputted after examination question, and the answer to be analyzed is sent to the error analysis device and carries out error analysis.
- 8. error analysis system according to claim 7, it is characterised in that also include：Acquisition terminal, for gathering the second teaching resource for language learning, and second religion that will be gathered in real time in real time Learn resource and be sent to the user terminal progress real-time display.
- 9. the error analysis system according to claim 7 or 8, it is characterised in that the user terminal is additionally operable to obtain and used The server is uploaded in the 3rd teaching resource of language learning, and by the 3rd teaching resource.
- 10. error analysis system according to claim 9, it is characterised in that first teaching resource, second religion It is respectively any of instructional video, teaching audio and teaching text to learn resource and the 3rd teaching resource.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113312909A (en) * | 2021-05-19 | 2021-08-27 | 华南理工大学 | Intelligent analysis test question answer method and system based on natural language processing |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101252491A (en) * | 2007-02-23 | 2008-08-27 | 金在佑 | Foreign language studying system and method using communication network |
| CN103366735A (en) * | 2012-03-29 | 2013-10-23 | 北京中传天籁数字技术有限公司 | A voice data mapping method and apparatus |
| CN104809677A (en) * | 2015-05-13 | 2015-07-29 | 江苏黄金屋教育咨询有限公司 | Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition |
| CN104882040A (en) * | 2015-05-15 | 2015-09-02 | 陈爱秋 | Intelligent system applied in Chinese language teaching |
| CN105047031A (en) * | 2015-07-28 | 2015-11-11 | 葛汇源 | Interactive wrong question teaching system and method |
| CN105575402A (en) * | 2015-12-18 | 2016-05-11 | 合肥寰景信息技术有限公司 | Network teaching real time voice analysis method |
| CN106547909A (en) * | 2016-11-23 | 2017-03-29 | 广东小天才科技有限公司 | A kind of fallibility exam pool based on big data builds management method and equipment |
-
2017
- 2017-08-25 CN CN201710744180.8A patent/CN107633721A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101252491A (en) * | 2007-02-23 | 2008-08-27 | 金在佑 | Foreign language studying system and method using communication network |
| CN103366735A (en) * | 2012-03-29 | 2013-10-23 | 北京中传天籁数字技术有限公司 | A voice data mapping method and apparatus |
| CN104809677A (en) * | 2015-05-13 | 2015-07-29 | 江苏黄金屋教育咨询有限公司 | Automatic examination paper scoring method based on statistics and analysis of knowledge point mastering condition |
| CN104882040A (en) * | 2015-05-15 | 2015-09-02 | 陈爱秋 | Intelligent system applied in Chinese language teaching |
| CN105047031A (en) * | 2015-07-28 | 2015-11-11 | 葛汇源 | Interactive wrong question teaching system and method |
| CN105575402A (en) * | 2015-12-18 | 2016-05-11 | 合肥寰景信息技术有限公司 | Network teaching real time voice analysis method |
| CN106547909A (en) * | 2016-11-23 | 2017-03-29 | 广东小天才科技有限公司 | A kind of fallibility exam pool based on big data builds management method and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 张旺熹等: "《语言测试的跨学科探索》", 31 December 2012 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113312909A (en) * | 2021-05-19 | 2021-08-27 | 华南理工大学 | Intelligent analysis test question answer method and system based on natural language processing |
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