CN106096564A - A kind of mathematics corrects method automatically - Google Patents
A kind of mathematics corrects method automatically Download PDFInfo
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- CN106096564A CN106096564A CN201610439511.2A CN201610439511A CN106096564A CN 106096564 A CN106096564 A CN 106096564A CN 201610439511 A CN201610439511 A CN 201610439511A CN 106096564 A CN106096564 A CN 106096564A
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Abstract
The invention provides a kind of mathematics and automatically correct method, described method is: the exercise question of pre-stored mathematical problem and model answer information；Obtain the answer pictorial information that student fills in；Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to consolidation form file；The each step giving the answer answer being converted to consolidation form file adds index marker；Correct according to the answer answer that step is added index marker by described model answer information, and result is corrected in output.Realize automatically correcting what the calculation question in mathematical problem, application topic, equation were inscribed, be substantially reduced the workload manually corrected.
Description
Technical field
The present invention relates to electronic information industry artificial intelligence field, automatically correct method particularly to a kind of mathematics.
Background technology
Automatically the main employing fuzzy algorithmic approach of correcting of existing mathematical problem carries out the coupling of numeral or symbol, is only capable of based on
Multiple-choice question or the objective items such as topic of filling a vacancy are corrected in the raw answer filled in, and then cannot be carried out automatically criticizing for solving the subjective items such as answer
Change.
Summary of the invention
The technical problem to be solved is: provide a kind of correct in mathematics calculation question, equation topic, application topic
Mathematics corrects method automatically.
In order to solve above-mentioned technical problem, the technical solution used in the present invention is:
A kind of mathematics corrects method automatically, and described method is:
The exercise question of pre-stored mathematical problem and model answer information；
Obtain the answer pictorial information that student fills in；
Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to
Consolidation form file；
The each step giving the answer answer being converted to consolidation form file adds index marker；
Correct according to the answer answer that step is added index marker by described model answer information, and knot is corrected in output
Really.
The beneficial effects of the present invention is: answer answer student filled in carries out shooting and obtains answer pictorial information, from
Answer pictorial information obtains answer answer, answer answer is converted to consolidation form file, facilitates computer to answer answer
It is identified and corrects；Each step of answer answer is added index marker, makes each step of answer answer have uniquely
Mark, facilitates computer-internal to correct each step of answer answer, whether to determine each step of answer answer
Correctly, and concrete wrong in which step, meet and manually calculation question, equation topic, application are inscribed these mathematical problems and corrected standard
And custom, described method is reasonable.
Accompanying drawing explanation
Fig. 1 is the flow chart that the mathematics of the present invention corrects method automatically.
Detailed description of the invention
By describing the technology contents of the present invention in detail, being realized purpose and effect, below in conjunction with embodiment and coordinate attached
Figure is explained.
The design of most critical of the present invention is: after answer answer student filled in is converted to consolidation form file, answers
Each step of topic answer adds index marker, it is achieved to automatically correcting of each step of answer answer, described method is reasonable.
Refer to Fig. 1, the invention provides a kind of mathematics and automatically correct method, described method is:
The exercise question of pre-stored mathematical problem and model answer information；
Obtain the answer pictorial information that student fills in；
Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to
Consolidation form file；
The each step giving the answer answer being converted to consolidation form file adds index marker；
Correct according to the answer answer that step is added index marker by described model answer information, and knot is corrected in output
Really.
Further, described consolidation form file is latex formatted file.
Seen from the above description, the most a lot of mathematics third party's plug-in units all supports latex formatted file, therefore by student
The answer answer filled in is converted to latex formatted file and has compatible strong advantage.
Further, also include:
The answer answer that described exercise question is corresponding is obtained according to described answer pictorial information；
Whether the answer answer analyzing described exercise question corresponding lacks with model answer information:
The most then output answer missing information.
Seen from the above description, after obtaining answer answer according to answer pictorial information, corresponding the answering of each exercise question is first judged
Whether topic answer lacks with model answer information, if disappearance, then output answer missing information, has prompting staff timely
Finding out or confirm answer missing information, without disappearance, then can continue down to correct, described method is reasonable, prevents
Occur correcting Problem-Error because of what answer answer or model answer loss of learning caused.
Further, correct according to the answer answer that step is added index marker by described model answer information, and
Result is corrected in output, particularly as follows:
According to described model answer information, each step adding index marker analyzed successively in described answer answer is
No correctly:
If running into incorrect step, then export the index marker of incorrect step；
If all correct, then export described answer answer correct information.
Seen from the above description, in answer answer, each step of index marker is added when correcting, according to suitable
Sequence is corrected, and meets the thinking of student's fill out answers；If each step is correct, then show that answer answer is correct, if working as
There is mistake in front step, then export the index marker of incorrect step, shows that answer answer mistake, described side occurs in this step
Method is reasonable, meets the standard correcting mathematical problem, when conveniently automatically correcting realizes by step student's answer answer to dividing.
Further, according to described model answer information, the step adding index marker in described answer answer is analyzed
The most correct, particularly as follows:
Obtain the information of a step of described answer answer；
By NLP algorithm, the word in described step is resolved, and by analysis result and described model answer information
The most correct；
The most correct by the column in step described in numerical Analysis or equation；
If word in described step resolves or column or equation mistake, then export described step error message,
And export the index marker of described step；
Otherwise, the next step continuing to analyze described answer answer is the most correct.
Seen from the above description, when each step adding index marker in answer answer is corrected, for word
Information, uses NLP algorithm to resolve, and NLP algorithm is the language analytical algorithm of the comparative maturity of application at present, uses NLP to calculate
Method has Word message parsing accuracy high, applies advantage easily；For column or equation information, use numerical value meter
It is analyzed, such as column, can use in calculating column "=" left side is the most equal with the right confirms that column is
No correctly, for equation, the left side and the right that the value of unknown number is brought into equation can be used, come a left side for calculation equation
Limit is the most equal with the right, or the coefficient of unknown number in comparison equation formula, the number of times of unknown number, unknown number is the most identical,
Described method has calculating advantage the most easily.
Further, also include:
The keyword message of pre-stored difference topic types, and the type information of described exercise question；
The keyword message of described topic types is found in described answer answer；
If being not found, then export described answer answer error message；If searching out, then according to described model answer to institute
State answer answer to correct.
Seen from the above description, the type of exercise question is broadly divided into calculation question, application topic and equation topic, dissimilar exercise question pair
It is different that the keyword of answer requires, first finds the keyword of answer according to different topic types and judges, permissible
Reach the purpose quickly corrected.
Further, the keyword message of different topic types, particularly as follows:
The keyword message of equation topic is for must comprise unknown number, and such as unknown number is x, y；
The keyword message of application topic is for solving, set, answering.
Seen from the above description, the keyword message of equation topic is unknown number, and the number of unknown number, alphabetic flag all can be made
For the criterion to unknown number, meet the answer custom of student；The keyword message of application topic, for solving, set, answering, is inscribed for application
Standard answer step, method is reasonable, automatically corrects mathematical problem rapid and convenient.
Further, also include:
Index marker is added to each step of described model answer information；
Each step of each step of described answer answer with described model answer information is matched one by one, and remembers
Record pairing number；
Deduct described pairing number with the index marker of last step of described model answer information, be described answer
The leapfrog number of answer.
Seen from the above description, described index marker is to start, from 1, the positive integer that is incremented by, each to model answer information
Step also adds index marker, if leapfrog phenomenon occurs in answer answer, then the step number of answer answer is less than standard answering information
Step number, the pairing number of the step of the step of answer answer and model answer information and leapfrog number and, be model answer and believe
The index marker of last step of breath, described method is reasonable, is possible to prevent because answer answer occurs what tedious steps caused
Statistical error, it is achieved the accurate statistics to leapfrog number, leapfrog number also can make automatically to correct as the foundation passing judgment on answer answer
More accurate.
Refer to Fig. 1, embodiments of the invention one are:
A kind of mathematics corrects method automatically, and described method is:
The exercise question of pre-stored mathematical problem and model answer information；
Obtain the answer pictorial information that student fills in；
Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to
Consolidation form file；
The each step giving the answer answer being converted to consolidation form file adds index marker；
Correct according to the answer answer that step is added index marker by described model answer information, and knot is corrected in output
Really.
Wherein, described consolidation form file is latex formatted file.
Refer to Fig. 1, embodiments of the invention two are:
A kind of mathematics corrects method automatically, on the basis of embodiment one, particularly as follows:
1, also include:
The answer answer that described exercise question is corresponding is obtained according to described answer pictorial information；
Whether the answer answer analyzing described exercise question corresponding lacks with model answer information:
The most then output answer missing information.
2, answer answer step being added index marker according to described model answer information is corrected, and output is corrected
As a result, particularly as follows:
According to described model answer information, each step adding index marker analyzed successively in described answer answer is
No correctly:
If running into incorrect step, then export the index marker of incorrect step；
If all correct, then export described answer answer correct information.
3, according to described model answer information, the most just the step adding index marker in described answer answer is being analyzed
Really, particularly as follows:
Obtain the information of a step of described answer answer；
By NLP algorithm, the word in described step is resolved, and by analysis result and described model answer information
The most correct；
The most correct by the column in step described in numerical Analysis or equation；
If word in described step resolves or column or equation mistake, then export described step error message,
And export the index marker of described step；
Otherwise, the next step continuing to analyze described answer answer is the most correct.
4, also include:
The keyword message of pre-stored difference topic types, and the type information of described exercise question；
The keyword message of described topic types is found in described answer answer；
If being not found, then export described answer answer error message；If searching out, then according to described model answer to institute
State answer answer to correct.
Wherein, the keyword message of different topic types, particularly as follows:
The keyword message of equation topic is for must comprise unknown number, and such as unknown number is x, y；
The keyword message of application topic is for solving, set, answering.
5, also include:
Index marker is added to each step of described model answer information；
Each step of each step of described answer answer with described model answer information is matched one by one, and remembers
Record pairing number；
Deduct described pairing number with the index marker of last step of described model answer information, be described answer
The leapfrog number of answer.
Refer to Fig. 1, embodiments of the invention three are:
A kind of mathematics corrects method automatically, and described method is:
The exercise question of pre-stored mathematical problem and model answer information；
Obtain the answer pictorial information that student fills in；
Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to
Latex formatted file；
Whether the answer answer analyzing described exercise question corresponding lacks with model answer information:
The most then output answer missing information, request manual confirmation corrigendum；If it is not, then continue down to perform；
The keyword message of pre-stored difference topic types, and the type information of described exercise question；
The keyword message of described topic types is found in described answer answer, particularly as follows:
The keyword message of equation topic is for must comprise unknown number, and such as unknown number is x, y；
The keyword message of application topic is for solving, set, answering；
If being not found, then export described answer answer error message；If searching out, then continue down to perform；
The each step giving the answer answer being converted to latex formatted file adds index marker；
Correct according to the answer answer that step is added index marker by described model answer information, and knot is corrected in output
Fruit particularly as follows:
Index marker is added to each step of described model answer information；
According to described model answer information, each step adding index marker analyzed successively in described answer answer is
No correctly:
If running into incorrect step, then export the index marker of incorrect step；
If all correct, then export described answer answer correct information；By each step of described answer answer and described mark
Each step of quasi-answer information is matched one by one, and records pairing number；By last step of described model answer information
Rapid index marker deducts described pairing number, is the leapfrog number of described answer answer；
Wherein, according to described model answer information, whether the step adding index marker in described answer answer is analyzed
Correctly, particularly as follows:
Obtain the information of a step of described answer answer；
By NLP algorithm, the word in described step is resolved, and by analysis result and described model answer information
The most correct；
The most correct by the column in step described in numerical Analysis or equation；
If word in described step resolves or column or equation mistake, then export described step error message,
And export the index marker of described step；
Otherwise, the next step continuing to analyze described answer answer is the most correct.
In sum, the mathematics that the present invention provides corrects method automatically, and the answer that student fills in is after shooting or scanning
Obtain answer pictorial information, by the decoding of answer pictorial information is obtained answer answer, by each step to answer answer
Suddenly add index marker, each step of model answer information is added index marker, and Word message is used NLP algorithm
Resolve, calculation question and equation are inscribed and uses numerical computations to be analyzed, the keyword of the answer of different topic types is sought
Look for and analyze, it is achieved the convenient of step each to answer answer is corrected, it is also possible to the index marker of output error step, and jump
Step number, described method is reasonable, it is simple to correct the calculation question of mathematical problem, application topic, the answer answer of equation topic accurately.
The foregoing is only embodiments of the invention, not thereby limit the scope of the claims of the present invention, every utilize this
The equivalents that bright description and accompanying drawing content are made, or directly or indirectly it is used in relevant technical field, the most in like manner include
In the scope of patent protection of the present invention.
Claims (8)
1. a mathematics corrects method automatically, it is characterised in that described method is:
The exercise question of pre-stored mathematical problem and model answer information；
Obtain the answer pictorial information that student fills in；
Obtain, according to described answer pictorial information, the answer answer that described exercise question is corresponding, and described answer answer is converted to unified
Formatted file；
The each step giving the answer answer being converted to consolidation form file adds index marker；
Correct according to the answer answer that step is added index marker by described model answer information, and result is corrected in output.
Mathematics the most according to claim 1 corrects method automatically, it is characterised in that described consolidation form file is latex
Formatted file.
Mathematics the most according to claim 1 corrects method automatically, it is characterised in that also include:
The answer answer that described exercise question is corresponding is obtained according to described answer pictorial information；
Whether the answer answer analyzing described exercise question corresponding lacks with model answer information:
The most then output answer missing information.
Mathematics the most according to claim 1 corrects method automatically, it is characterised in that according to described model answer information to step
The rapid answer answer adding index marker is corrected, and result is corrected in output, particularly as follows:
According to described model answer information, the most just analyzing each step adding index marker in described answer answer successively
True:
If running into incorrect step, then export the index marker of incorrect step；
If all correct, then export described answer answer correct information.
Mathematics the most according to claim 4 corrects method automatically, it is characterised in that according to described model answer information, point
Analyse the step adding index marker in described answer answer the most correct, particularly as follows:
Obtain the information of a step of described answer answer；
By NLP algorithm, the word in described step is resolved, and analysis result is compared with described model answer information
The most correct；
The most correct by the column in step described in numerical Analysis or equation；
If word in described step resolves or column or equation mistake, then export described step error message, and defeated
Go out the index marker of described step；
Otherwise, the next step continuing to analyze described answer answer is the most correct.
Mathematics the most according to claim 1 corrects method automatically, it is characterised in that also include:
The keyword message of pre-stored difference topic types, and the type information of described exercise question；
The keyword message of described topic types is found in described answer answer；
If being not found, then export described answer answer error message；If searching out, then answer described according to described model answer
Topic answer is corrected.
Mathematics the most according to claim 6 corrects method automatically, it is characterised in that the keyword letter of different topic types
Breath, particularly as follows:
The keyword message of equation topic is for must comprise unknown number, and such as unknown number is x, y；
The keyword message of application topic is for solving, set, answering.
Mathematics the most according to claim 1 corrects method automatically, it is characterised in that also include:
Index marker is added to each step of described model answer information；
Each step of each step of described answer answer with described model answer information is matched one by one, and record is joined
Logarithm；
Deduct described pairing number with the index marker of last step of described model answer information, be described answer answer
Leapfrog number.
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| CN106775241A (en) * | 2016-12-15 | 2017-05-31 | 网易（杭州）网络有限公司 | Information demonstrating method, equipment and computer-readable recording medium |
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| CN107977637A (en) * | 2017-12-11 | 2018-05-01 | 上海启思教育科技服务有限公司 | A kind of intelligently reading system of more topic types |
| CN107992482A (en) * | 2017-12-26 | 2018-05-04 | 科大讯飞股份有限公司 | Mathematics subjective item answers the stipulations method and system of step |
| CN108052504A (en) * | 2017-12-26 | 2018-05-18 | 科大讯飞股份有限公司 | Mathematics subjective item answers the structure analysis method and system of result |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070160971A1 (en) * | 2006-01-12 | 2007-07-12 | Caldera Paul F | Method for Automated Examination Testing and Scoring |
| CN101334814A (en) * | 2008-04-28 | 2008-12-31 | 华北电力大学 | Automatic scanning and reading system and reading method |
| CN102063560A (en) * | 2010-12-03 | 2011-05-18 | 湖南科技大学 | Method for automatically scoring in steps in computer test and system thereof |
| CN103164994A (en) * | 2013-03-15 | 2013-06-19 | 南京信息工程大学 | Operation exercise correction and feedback method |
| CN104376315A (en) * | 2014-07-30 | 2015-02-25 | 天津科技大学 | Detection method based on computer image processing and mode recognition and application of detection method |
| CN105590101A (en) * | 2015-12-28 | 2016-05-18 | 杭州淳敏软件技术有限公司 | Hand-written answer sheet automatic processing and marking method and system based on mobile phone photographing |
-
2016
- 2016-06-17 CN CN201610439511.2A patent/CN106096564A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070160971A1 (en) * | 2006-01-12 | 2007-07-12 | Caldera Paul F | Method for Automated Examination Testing and Scoring |
| CN101334814A (en) * | 2008-04-28 | 2008-12-31 | 华北电力大学 | Automatic scanning and reading system and reading method |
| CN102063560A (en) * | 2010-12-03 | 2011-05-18 | 湖南科技大学 | Method for automatically scoring in steps in computer test and system thereof |
| CN103164994A (en) * | 2013-03-15 | 2013-06-19 | 南京信息工程大学 | Operation exercise correction and feedback method |
| CN104376315A (en) * | 2014-07-30 | 2015-02-25 | 天津科技大学 | Detection method based on computer image processing and mode recognition and application of detection method |
| CN105590101A (en) * | 2015-12-28 | 2016-05-18 | 杭州淳敏软件技术有限公司 | Hand-written answer sheet automatic processing and marking method and system based on mobile phone photographing |
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| CN106775241B (en) * | 2016-12-15 | 2019-08-13 | 网易（杭州）网络有限公司 | Information demonstrating method, equipment and computer readable storage medium |
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| CN106898178A (en) * | 2017-01-08 | 2017-06-27 | 广东工业大学 | A kind of examination overall analysis system based on wearable device |
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