CN108984531A - Books reading difficulty method and system based on language teaching material - Google Patents
Books reading difficulty method and system based on language teaching material Download PDFInfo
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- CN108984531A CN108984531A CN201810812253.7A CN201810812253A CN108984531A CN 108984531 A CN108984531 A CN 108984531A CN 201810812253 A CN201810812253 A CN 201810812253A CN 108984531 A CN108984531 A CN 108984531A
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- 239000000463 material Substances 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000011156 evaluation Methods 0.000 claims abstract description 46
- 238000011524 similarity measure Methods 0.000 claims abstract description 39
- 244000309466 calf Species 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 2
- 239000004744 fabric Substances 0.000 claims 1
- 238000005259 measurement Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The present invention provides a kind of method of books reading grade of difficulty based on language teaching material, is classified for books comprising: obtain the content of the language teaching material of each grade；It identifies language teaching material content and generates the evaluation factor value of the evaluation factor of each grade teaching material, be worth reading difficulty grade assessment reference value according to the evaluation factor；Obtain book content to be assessed；It identifies book content and generates the evaluation factor value of the evaluation factor of books to be assessed；The evaluation factor value and reading difficulty grade assessment reference value of books to be assessed carry out similarity assessment, generate the whole similarity measure values of books to be assessed；Judge whether the book content to be assessed contains negative content.This classification method is accurately objective.The books reading grade of difficulty system based on language teaching material that the present invention also provides a kind of.
Description
Technical field
The present invention relates to a kind of method of education sector more particularly to books reading grade of difficulty based on language teaching material and
System.
Background technique
New curriculum of Chinese standard points out that Chinese curriculum should be dedicated to the formation and development of student's language literacy at present, and reads
The culture of ability is the key that comprehensive raising student's language literacy.The one of method for reinforcing reading ability is exactly to reinforce after class
Reading ability.
The reading ability in each stage needs to cooperate the reception ability in each stage, and existing trend is exactly according to each grade
Chinese textbook is classified, even if the standard that reference pair outside reading reading matter is classified is also mostly relatively fuzzyyer, there is no visitors
Sight standard determines.
Summary of the invention
The books reading grade of difficulty based on language teaching material for being designed to provide one kind of the technical program embodiment
Method and system.
The present invention provides a kind of method of books reading grade of difficulty based on language teaching material, is classified for books, packet
It includes:
Obtain the content of the language teaching material of each grade；
It identifies language teaching material content and generates the evaluation factor value of the evaluation factor of each grade teaching material, be worth according to the evaluation factor
Reading difficulty grade assessment reference value out；
Obtain book content to be assessed；
It identifies book content and generates the evaluation factor value of the evaluation factor of books to be assessed；
The evaluation factor value and reading difficulty grade assessment reference value of books to be assessed carry out similarity assessment, generate figure to be assessed
The whole similarity measure values of book；
Judge whether the book content to be assessed contains negative content, such as nothing, is then determined and obtained wait divide according to similarity measure values
The reading difficulty grade of grade books；If any then first dividing in reading difficulty rate range, then similarity measurement in filter area
It is worth and determines books reading grade of difficulty.
Further, which includes word frequency distribution, and/or long sentence accounting value, and/or text density value.
Further, each grade long sentence accounting value；
Each grade text density reference value, wherein i represents books reading grade of difficulty.
Further, the books to be assessed are identical with the text radix of language teaching material text.
Further, the content for needing to be filtered includes whether books to be assessed contain phonetic notation；Judge whether books contain
There is calf love, violence, bloody, pornographic.
Further, the similarity measure values of word frequency distribution are calculated；
The similarity measure values of word frequency distribution,
P indicates each grade word frequency distribution sequence, and C indicates books word frequency distribution sequence,Indicate that P sequence takes at j-th point
Value, j indicate current point in the serial number of entire sequence, and n indicates the length of entire sequence.
Further, whole factor similarity measure values Si,
Wherein,。
Further, when there is negative content, within the scope of class requirement, the smallest grade of similarity measure values is taken to be determined as
The reading difficulty grade of books；When no negative content, the smallest grade in all whole factor similarity measure values is taken to determine
For the reading difficulty grade of books.
Further, further include the steps that the grade for exporting books to be assessed.
The system for the books reading grade of difficulty based on language teaching material that the present invention also provides a kind of comprising processor, it should
Include program in processor, which executes following operation in system operation:
Obtain the content of the language teaching material of each grade；
It identifies language teaching material content and generates the evaluation factor value of the evaluation factor of each grade teaching material, be worth according to the evaluation factor
Reading difficulty grade assessment reference value out；
Obtain book content to be assessed；
It identifies book content and generates the evaluation factor value of the evaluation factor of books to be assessed；
The evaluation factor value and reading difficulty grade assessment reference value of books to be assessed carry out similarity assessment, generate figure to be assessed
The whole similarity measure values of book；
Judge whether the book content to be assessed contains negative content, such as nothing, is then determined and obtained wait divide according to similarity measure values
The reading difficulty grade of grade books；If any then first dividing in reading difficulty rate range, then similarity measurement in filter area
It is worth and determines books reading grade of difficulty.
The method of the above-mentioned books reading grade of difficulty based on language teaching material, by the evaluation factor and language of books to be assessed
The evaluation factor reference value of culture and education material carries out also carrying out the content of books to be assessed the assessment of negative content with reference to assessment, and
Books containing improper content are adapted to suitable grade.The more accurate visitor of the relatively artificial classification of this classification method
It sees.
The method of the above-mentioned books reading grade of difficulty based on language teaching material, can according to different age group intelligence and
Psychological development degree and educational foundations provide scientific reading plan for children, and then according to the books reading grade of difficulty of science
It divides, different reading matters is provided for different children, scientific and targeted read books are provided.
Detailed description of the invention
It, below will be to attached needed in embodiment in order to illustrate more clearly of the technical solution of the technical program
Figure is briefly described, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the flow chart of the books reading difficulty method and system provided in an embodiment of the present invention based on language teaching material.
Fig. 2 is word frequency distribution curve graph provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the technical program embodiment, to the technical solution in the technical program embodiment into
Row clearly and completely describes, it is clear that and described embodiment is only the technical program a part of the embodiment, rather than all
Embodiment.Based on the embodiment in the technical program, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Referring to Fig. 1, a kind of method of the books reading grade of difficulty based on language teaching material, is classified for books, until
Include the following steps less.
S110, obtain each grade language teaching material content；
S120, the evaluation factor value for identifying language teaching material content and generating the evaluation factor of each grade teaching material；
S130, it is worth reading difficulty grade assessment reference value according to the evaluation factor；
S210, book content to be assessed is obtained；
S220, the evaluation factor value for identifying book content and generating the evaluation factor of books to be assessed；
S310, the evaluation factor value of books to be assessed and reading difficulty grade assessment reference value carry out similarity assessment, generate to
Assess the whole similarity measure values of books；
S410, judge whether the book content to be assessed contains negative content, such as nothing, then obtained according to similarity measure values determination
The reading difficulty grade of books to be fractionated；If any then first dividing in reading difficulty rate range, then similitude in filter area
Metric determines books reading grade of difficulty.
Wherein, similarity measure valuesThe smallest grade is determined as the reading difficulty grade of books.
The evaluation factor includes word frequency distribution, and/or long sentence accounting value, and/or text density value.The word frequency distribution is one
The existing number of specific word remittance abroad.Specifically, each grade long sentence accounting value.Long sentence subnumber
It is determined with the number of words contained in each sentence.For example, long sentence is defined as such as more than the sentence of 15 words.
Each grade text density reference value, wherein i represents books and reads
Read grade of difficulty.In other words, the higher books text density reference value of reading difficulty is bigger.
The books to be assessed are identical with the text radix of language teaching material text.This text radix it is identical refer to it is to be evaluated
Estimate the books number of words identical, or both with language teaching material text number of words to differ in certain error range.
The content for needing to be filtered includes whether books to be assessed contain phonetic notation；Judge whether books contain calf love, sudden and violent
It is power, bloody, pornographic.
Calculate the similarity measure values of word frequency distribution；
The similarity measure values of word frequency distribution,
P indicates each grade word frequency distribution sequence, and C indicates books word frequency distribution sequence,Indicate that P sequence takes at j-th point
Value, j indicate current point in the serial number of entire sequence, and n indicates the length of entire sequence.
Whole factor similarity measure values Si,
Wherein,。
M and L is the long sentence accounting value and text density value for wanting reading difficulty grade books to be assessed,WithIt is each
" grade " long sentence accounting value and text density reference value.
Books are by the way that the similarity magnitude with each grade is calculated with the reference value of each grade, according to similarity measure
Value size determines books grade of difficulty.
Finally, the method for books reading grade of difficulty further includes the steps that the grade for exporting books to be assessed.
The method of the above-mentioned books reading grade of difficulty based on language teaching material, by the evaluation factor and language of books to be assessed
The evaluation factor reference value of culture and education material carries out also carrying out the content of books to be assessed the assessment of negative content with reference to assessment, and
Books containing improper content are adapted to suitable grade.The more accurate visitor of the relatively artificial classification of this classification method
It sees.
The method of the above-mentioned books reading grade of difficulty based on language teaching material, can according to different age group intelligence and
Psychological development degree and educational foundations provide scientific reading plan for children, and then according to the books reading grade of difficulty of science
It divides, different reading matters is provided for different children, scientific and targeted read books are provided.
In the present embodiment, it is illustrated so that books reading grade of difficulty is 6 ~ 15 grades as an example.
It is as follows that process is embodied: obtaining 6 ~ 15 grades of corresponding language teaching materials of books reading grade of difficulty；In the present embodiment,
Books reading grade of difficulty is divided into 2 ~ 18 grades, and 2 ~ 5 grades are before learning, 6 ~ 15 grades of correspondence, one grade ~ ninth grade, 16 ~ 17 generally lack,
18 grades are the books containing pornographic violence attribute.It is understood that do not limit to the classification of 6-15, can also each grade again
Three-level is arrived in subdivision two, or will merge between adjacent level.
The evaluation factor that each grade corresponds to teaching material is analyzed, each grade teaching material word frequency distribution, long sentence Distribution Value, text are calculated
Word density value generates books reading grade of difficulty evaluation factor reference value.
Each grade word frequency distribution (indicating the number distribution map that different difficulty level vocabulary occur in text).Each grade long sentence
Distribution reference value, each grade text density reference value
, (i is referred to herein and represents books reading grade of difficulty, i=6 ~ 15).
Obtain book content to be assessed, analyze the contents attribute of books, calculate books the word frequency distribution of assessment element,
Long sentence accounting value, text density value；
Each reading difficulty grade assessment factor reference value and the assessment factor value of books are subjected to similarity assessment, calculated to be assessed
Books and each language teaching material reading difficulty grade whole factor similarity measure values.Wherein, the similitude of word frequency distribution
Metric；
P indicates each grade word frequency distribution sequence；C indicates books word frequency distribution sequence；Indicate value of the P sequence at j-th point；j
Current point is indicated in the serial number of entire sequence, n indicates the length of entire sequence.
Specifically refer to the similarity measure values calculated example of word frequency distribution figure: using word difficulty level as abscissa,
Word frequency of occurrence is ordinate, establishes coordinate system and is counted.
Such as aforementioned formula, referring to Fig. 2, being simultaneously calculated according to data in figure:
Similarity measure values=40 of the books to be assessed relative to reading difficulty class 6；
Similarity measure values=69.28 of the books to be assessed relative to reading difficulty grade 8；
(word frequency distribution of visible books closer to reading difficulty class 6)
Calculate whole factor similarity measure values, based on formula be
。
Judge whether books to be assessed contain negative factor or phonetic notation.In the present embodiment, the decision condition of negative factor
Including more apparent violent tenet is the theme, had with campus love, has more implicit Pornograph to describe, have blunt color
Feelings content is described, has bloody terrified picture, has strong religion doctrine tendency.It is carried out again after needing to be filtered comprising if
Judgement.If it is determined that books to be assessed do not contain negative factor or phonetic notation, then only consider similar in respective level claimed range
Property metric take filtering to advise wherein the whole the smallest grade of factor similarity measure values is determined as the reading difficulty grade of books
It is then as follows；
For example, if comprising negative content, within the scope of class requirement, similarity measure valuesThe smallest grade is determined as
The reading difficulty grade of books is i.e.: if books include phonetic notation, one for taking in 6-8 grade " similarity measure values " minimum is figure
The interior reading difficulty grade of book.Optional books reading grade of difficulty only has if books contain " blunt Pornograph is described "
18.Optional books reading grade of difficulty only has 15 if books contain " bloody terror picture ".
When not including contained content in decision condition, i.e., when books to be assessed do not contain negative content or phonetic notation, take complete
The smallest grade is determined as the reading difficulty grade of books in portion's entirety factor similarity measure values.
In the present embodiment, a kind of system of books reading grade of difficulty based on language teaching material is also provided.
A kind of system of the books reading grade of difficulty based on language teaching material comprising processor includes in the processor
Program, the program execute following operation in system operation:
Obtain the content of the language teaching material of each grade.It identifies language teaching material content and generates commenting for the evaluation factor of each grade teaching material
Estimate factor values, is worth reading difficulty grade assessment reference value according to the evaluation factor.Obtain book content to be assessed.Identification figure
Book content and generate books to be assessed evaluation factor evaluation factor value.Assess evaluation factor value and the reading difficulty etc. of books
Grade assessment reference value carries out similarity assessment, generates the whole similarity measure values of books to be assessed.Judge the books to be assessed
Whether content contains negative content, such as nothing, then the reading difficulty grade for obtaining books to be fractionated is determined according to similarity measure values；
If any then first in division reading difficulty rate range, then similarity measure values determine books reading difficulty etc. in filter area
Grade.
The program also executes following operation: exporting the grade of books to be assessed in system operation.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, and those skilled in the art are when understanding: it still can be with
It modifies the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；And
These are modified or replaceed, the spirit and model of technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution
It encloses.
Claims (10)
1. a kind of method of the books reading grade of difficulty based on language teaching material is classified for books characterized by comprising
Obtain the content of the language teaching material of each grade；It identifies language teaching material content and generates commenting for the evaluation factor of each grade teaching material
Estimate factor values, is worth reading difficulty grade assessment reference value according to the evaluation factor；Obtain book content to be assessed；Identification figure
Book content and generate books to be assessed evaluation factor evaluation factor value；The evaluation factor value and reading difficulty of books to be assessed
Grade assessment reference value carries out similarity assessment, generates the whole similarity measure values of books to be assessed；Judge the figure to be assessed
Whether book content contains negative content, such as nothing, then the reading difficulty etc. for obtaining books to be fractionated is determined according to similarity measure values
Grade；If any, then first divided in reading difficulty rate range according to negative content, then in filter area similarity measure values determine
Books reading grade of difficulty.
2. the method for the books reading grade of difficulty based on language teaching material as described in claim 1, which is characterized in that the assessment
The factor includes word frequency distribution, and/or long sentence accounting value, and/or text density value, wherein the word frequency distribution is a specific vocabulary
The number of appearance；Each grade long sentence accounting value；Each grade text density reference value, wherein i represents books reading grade of difficulty.
3. the method for the books reading grade of difficulty based on language teaching material as claimed in claim 2, which is characterized in that this is to be evaluated
The books estimated are identical with the text radix of language teaching material text.
4. the method for the books reading grade of difficulty based on language teaching material as claimed in claim 3, which is characterized in that need into
The content of row filtering includes whether books to be assessed contain phonetic notation；Judge whether books contain calf love, violence, bloody, pornographic.
5. the method for the books reading grade of difficulty based on language teaching material as claimed in claim 2, which is characterized in that calculate word
The similarity measure values of frequency division cloth；The similarity measure values of word frequency distribution, each grade word of P expression
Frequency distribution series, C indicate books word frequency distribution sequence,Indicate value of the P sequence at j-th point, j indicates current point whole
The serial number of a sequence, n indicate the length of entire sequence.
6. the method for the books reading grade of difficulty based on language teaching material as claimed in claim 5, which is characterized in that it is whole because
Plain similarity measure values, wherein(M, L are being said respectively
The explanation that bright book carries out).
7. the method for the books reading grade of difficulty based on language teaching material as claimed in claim 6, which is characterized in that negative when having
When the content of face, within the scope of class requirement, the smallest grade of similarity measure values is taken to be determined as the reading difficulty grade of books；
When no negative content, the smallest grade in all whole factor similarity measure values is taken to be determined as the reading difficulty of books
Grade.
8. the method for the books reading grade of difficulty based on language teaching material as described in claim 1, which is characterized in that further include
The step of exporting the grade of books to be assessed.
9. a kind of system of the books reading grade of difficulty based on language teaching material, which is characterized in that including processor, the processor
In include program, which executes following operation: obtaining the content of the language teaching material of each grade in system operation；Identify language
Literary textbook content and generate each grade teaching material evaluation factor evaluation factor value, according to the evaluation factor be worth reading difficulty
Grade assessment reference value；Obtain book content to be assessed；It identifies book content and generates commenting for the evaluation factor of books to be assessed
Estimate factor values；The evaluation factor values of books to be assessed and reading difficulty grade assessment reference value carry out similarity assessment, generate to
Assess the whole similarity measure values of books；Judge whether the book content to be assessed contains negative content, such as nothing, then according to phase
The reading difficulty grade for obtaining books to be fractionated is determined like property metric；If any then first in division reading difficulty rate range, so
Similarity measure values determine books reading grade of difficulty in filter area afterwards.
10. the system of the books reading grade of difficulty based on language teaching material as claimed in claim 9, which is characterized in that at this
Program in reason device also executes following operation: exporting the grade of books to be assessed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810812253.7A CN108984531A (en) | 2018-07-23 | 2018-07-23 | Books reading difficulty method and system based on language teaching material |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810812253.7A CN108984531A (en) | 2018-07-23 | 2018-07-23 | Books reading difficulty method and system based on language teaching material |
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| Publication Number | Publication Date |
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| CN201810812253.7A Pending CN108984531A (en) | 2018-07-23 | 2018-07-23 | Books reading difficulty method and system based on language teaching material |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109933668A (en) * | 2019-03-19 | 2019-06-25 | 北京师范大学 | The classified estimation modeling method of simplified Chinese language text readability |
| CN111078874A (en) * | 2019-11-29 | 2020-04-28 | 华中师范大学 | Foreign Chinese difficulty assessment method based on decision tree classification of random subspace |
| CN111860121A (en) * | 2020-06-04 | 2020-10-30 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
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| US20020156632A1 (en) * | 2001-04-18 | 2002-10-24 | Haynes Jacqueline A. | Automated, computer-based reading tutoring systems and methods |
| CN1384452A (en) * | 2001-04-30 | 2002-12-11 | 索尼电脑娱乐美国公司 | Evaluation method and system for product based on text |
| CN105068993A (en) * | 2015-07-31 | 2015-11-18 | 成都思戴科科技有限公司 | Method for evaluating text difficulty |
| US20180004726A1 (en) * | 2015-01-16 | 2018-01-04 | Hewlett-Packard Development Company, L.P. | Reading difficulty level based resource recommendation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20020156632A1 (en) * | 2001-04-18 | 2002-10-24 | Haynes Jacqueline A. | Automated, computer-based reading tutoring systems and methods |
| CN1384452A (en) * | 2001-04-30 | 2002-12-11 | 索尼电脑娱乐美国公司 | Evaluation method and system for product based on text |
| US20180004726A1 (en) * | 2015-01-16 | 2018-01-04 | Hewlett-Packard Development Company, L.P. | Reading difficulty level based resource recommendation |
| CN105068993A (en) * | 2015-07-31 | 2015-11-18 | 成都思戴科科技有限公司 | Method for evaluating text difficulty |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109933668A (en) * | 2019-03-19 | 2019-06-25 | 北京师范大学 | The classified estimation modeling method of simplified Chinese language text readability |
| CN111078874A (en) * | 2019-11-29 | 2020-04-28 | 华中师范大学 | Foreign Chinese difficulty assessment method based on decision tree classification of random subspace |
| CN111078874B (en) * | 2019-11-29 | 2023-04-07 | 华中师范大学 | Foreign Chinese difficulty assessment method based on decision tree classification of random subspace |
| CN111860121A (en) * | 2020-06-04 | 2020-10-30 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
| CN111860121B (en) * | 2020-06-04 | 2023-10-24 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
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