CN110164422A - A kind of the various dimensions appraisal procedure and device of speaking test - Google Patents
A kind of the various dimensions appraisal procedure and device of speaking test Download PDFInfo
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Abstract
The present invention relates to the various dimensions appraisal procedures and device of a kind of speaking test, which comprises obtains the spoken of examinee and answers result；Determine that, to the spoken dimensions for answering result, the dimensions include at least content dimension, pronunciation dimension, grammer dimension and fluency；Based on the dimensions, dimension score value corresponding with the dimensions is obtained；Based on each dimension score value, the spoken comprehensive grading value for answering result is determined；Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.The present invention simultaneously can assess spoken answer of examinee based on multiple and different dimensions, can also be further formed comprehensive grading value and assess on the whole.
Description
Technical field
The present invention relates to field of computer technology, more particularly to the various dimensions appraisal procedure and dress of a kind of speaking test
It sets.
Background technique
As the important medium of interpersonal communication, conversational language occupies extremely important status in real life.With society
The progress of continuous development and economical globalization tendency that can be economic, people are objective to the efficiency of language learning and language assessment
Property, fairness and scale test propose increasingly higher demands.For example oral composition of Open-ended Question type in speaking test, story
Repetition and picture talk etc. are to reflect an important topic type of the ability to express of examinee's spoken language.The expression content of examinee can be investigated
Integrality, smooth degree, pronounce accuracy and the correctness of grammer etc..
Traditional speaking test points-scoring system is directly to learn Rating Model according to the total score labeled data of teacher's marking, is given
A total score output out.And be weak in terms of which in oral expression of student and do not provide, such as pronounce whether accurate, grammer
It is whether problematic, whether content complete etc., therefore, the level of aggregation of examinee cannot be all presented in individual total score.
Summary of the invention
Based on this, it is necessary to for traditional scheme scoring feedback unstructured problem, provide a kind of various dimensions of speaking test
Appraisal procedure and device
A kind of various dimensions appraisal procedure of speaking test, which comprises
It obtains the spoken of examinee and answers result；
Determine that, to the spoken dimensions for answering result, the dimensions include at least content dimension, pronunciation dimension
Degree, grammer dimension and fluency；
Based on the dimensions, dimension score value corresponding with the dimensions is obtained；
Based on each dimension score value, the spoken comprehensive grading value for answering result is determined；
Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.
Preferably, described to be based on the dimensions if the dimensions include content dimension, obtain with it is described
The corresponding dimension score value of dimensions, comprising:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between the content of text and preset reference answer；
Corresponding content dimension score value is determined based on the integrity degree coefficient.
Preferably, described to be based on the dimensions if the dimensions include pronunciation dimension, obtain with it is described
The corresponding dimension score value of dimensions, comprising:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on the standard pronunciation, accuracy of the pronunciation character relative to the standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on the accuracy.
Preferably, described to be based on the dimensions if the dimensions include grammer dimension, obtain with it is described
The corresponding dimension score value of dimensions, comprising:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
Preset prediction model will be input to as parameter to each grammar property, and exported by the prediction model
Corresponding grammer dimension score value.
Preferably, described to be based on the dimensions if the dimensions include fluency, it obtains and institute's commentary
The corresponding dimension score value of fractional dimension, comprising:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in the content of text；
Characteristic value corresponding with each time serial message is generated based on the time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by described
Fluency model exports corresponding fluency score value.
A kind of various dimensions assessment device of speaking test, described device include:
First obtains module, answers result for obtaining the spoken of examinee；
First determining module, for determining that, to the spoken dimensions for answering result, the dimensions at least wrap
Include content dimension, pronunciation dimension, grammer dimension and fluency；
Second obtains module, for being based on the dimensions, obtains dimension scoring corresponding with the dimensions
Value；
Second determining module determines that the spoken synthesis for answering result is commented for being based on each dimension score value
Score value；
Third determining module, for being based on the comprehensive grading value and each dimension score value, determination is examined described
Raw assessment result.
Preferably, if the dimensions include content dimension, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between the content of text and preset reference answer；
Corresponding content dimension score value is determined based on the integrity degree coefficient.
Preferably, if the dimensions include pronunciation dimension, the second acquisition module is used for:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on the standard pronunciation, accuracy of the pronunciation character relative to the standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on the accuracy.
Preferably, if the dimensions include grammer dimension, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
Preset prediction model will be input to as parameter to each grammar property, and exported by the prediction model
Corresponding grammer dimension score value.
Preferably, if the dimensions include fluency, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in the content of text；
Characteristic value corresponding with each time serial message is generated based on the time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by described
Fluency model exports corresponding fluency score value.
In the present invention, obtains the spoken of examinee and answer result；It determines to the spoken dimensions for answering result, it is described
Dimensions include at least content dimension, pronunciation dimension, grammer dimension and fluency；Based on the dimensions, acquisition and institute
The corresponding dimension score value of commentary fractional dimension；Based on each dimension score value, the comprehensive of the spoken answer result is determined
Close score value；Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.By
This, the present invention simultaneously can assess spoken answer of examinee based on multiple and different dimensions, can also be further formed comprehensive
Score value is closed to assess on the whole；In this way, the advantages of each student can directly know oneself and deficiency, timely improve oneself
Study plan；The relatively direct scheme for providing total score, it is explanatory stronger, relatively more objective to score.
Detailed description of the invention
Fig. 1 is the flow chart of the various dimensions appraisal procedure of the speaking test of an embodiment；
Fig. 2 is that the various dimensions of the speaking test of an embodiment assess the structure chart of device.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Fig. 1 is the flow chart of the various dimensions appraisal procedure of the speaking test of an embodiment.As shown in Figure 1, this method comprises:
Step 110, it obtains the spoken of examinee and answers result；
Step 120, it determines to the spoken dimensions for answering result, dimensions include at least content dimension, pronunciation dimension
Degree, grammer dimension and fluency；
Step 130, dimensions are based on, dimension score value corresponding with dimensions is obtained；
Step 140, it is based on each dimension score value, determines the spoken comprehensive grading value for answering result；
Step 150, it is based on comprehensive grading value and each dimension score value, determines the assessment result to examinee.
In the present invention, obtains the spoken of examinee and answer result；It determines to the spoken dimensions for answering result, it is described
Dimensions include at least content dimension, pronunciation dimension, grammer dimension and fluency；Based on the dimensions, acquisition and institute
The corresponding dimension score value of commentary fractional dimension；Based on each dimension score value, the comprehensive of the spoken answer result is determined
Close score value；Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.By
This, the present invention simultaneously can assess spoken answer of examinee based on multiple and different dimensions, can also be further formed comprehensive
Score value is closed to assess on the whole；In this way, the advantages of each student can directly know oneself and deficiency, timely improve oneself
Study plan；The relatively direct scheme for providing total score, it is explanatory stronger, relatively more objective to score.
In the present embodiment, when examinee's spoken language is answered, knot can be answered using the spoken of voice storage system record examinee
Fruit can be stored in a manner of audio etc..
In one implementation of the present embodiment, if dimensions include content dimension, be based on dimensions, obtain with
The corresponding dimension score value of dimensions, comprising:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between content of text and preset reference answer；
Corresponding content dimension score value is determined based on integrity degree coefficient.
Pass through the available spoken content of text for answering result of speech recognition system.Determine content of text and preset reference
When integrity degree coefficient between answer, keyword can be extracted from Key for Reference, it is necessary that these keywords can be examinee
Want the spoken content answered.Then synonym extension is made to these keywords, and takes its union.Then by the union out of text
Search for whether content of text includes keyword therein in appearance, if so, then recording, identical or synonym keyword is only
Retain one.It is then based on the quantity for the keyword for including in content of text and the number of the keyword extracted from Key for Reference
Amount, the two are divided by, an available integrity degree coefficient.It is appreciated that the integrity degree coefficient is bigger, corresponding content dimension is commented
Score value is higher.
In one implementation of the present embodiment, if dimensions include pronunciation dimension, be based on dimensions, obtain with
The corresponding dimension score value of dimensions, comprising:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on standard pronunciation, accuracy of the pronunciation character relative to standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on accuracy.
In the present embodiment, it is related special to extract GOP marking by recognition result for the acoustic model that can be trained with standard pronunciation
Sign.Using standard pronunciation as reference frame, 0-1 model is evaluated in the pronunciation of training word level.The marking of last entire dimension is by correct
Rate provides.Acoustic model can be obtained by way of big data training.
Pronunciation character can be every spoken pronunciation for answering each word in result.Then, based on each word
The standard pronunciation of itself and each word can be compared, judge whether the pronunciation of the word is correct by pronunciation.Based on all lists
Word therefrom determines orthoepic word, and the quantity of orthoepic word and the quantity of all words are divided by, and can obtain
To accuracy.Accuracy is bigger, then dimension of pronouncing score value is higher.
In one implementation of the present embodiment, if dimensions include grammer dimension, be based on dimensions, obtain with
The corresponding dimension score value of dimensions, comprising:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
Preset prediction model will be input to as parameter to each grammar property, and exported by the prediction model
Corresponding grammer dimension score value.
The present invention can, can first to content of text carry out subordinate sentence；Then grammer is carried out to misinterpretation by sentence pair content of text,
Come to sentence into grammer by link grammar scheme to misinterpretation；Finally, according to the correlated characteristic of test taker answers mistake and corresponding
Syntax error marking mark, is based on prediction model.A prediction model provides the marking of grammer dimension in this way.Prediction model can
It is generated by way of big data training by the spoken result of answering based on previous all examinees.
It is appreciated that prediction model can judge whether there is mistake to the grammar property of input, and marking mark is carried out,
With the marking of final output grammer dimension.
In one implementation of the present embodiment, if dimensions include fluency, dimensions is based on, obtains and comments
The corresponding dimension score value of fractional dimension, comprising:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in content of text；
Characteristic value corresponding with each time serial message is generated based on time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by fluency mould
Type exports corresponding fluency score value.
In the present embodiment, time serial message emphasis includes the distributed intelligence of the time number of length sil.Characteristic value can be with
It is temporal information itself, such as time span, interval time lengths, dead time length.
For time serial message, the time point of corresponding pronunciation of words itself can be understood as.If being appreciated that mouth
Language compares process, and the time interval between two words is inevitable smaller, on the contrary, then can be bigger.Therefore, if two time sequences
Time interval between column information is smaller, i.e., characteristic value is smaller, then marking value is higher, on the contrary, marking value is then smaller.
In the present embodiment, when dimensions include 4 dimensions such as content dimension, pronunciation dimension, grammer dimension and fluency
When, the spoken comprehensive grading value for answering result can be calculated using following formula.Specific formula is as follows:
R=Scontent*0.05
X1=SContent；SContent∈ [0,10]
X2=SFluency/3*10；SFluency∈ [0,3]
X3=SGrummar；SGrammar∈ [0,3]
X4=SPronunciationSPronunciation∈ [0,4]
Overall=(1-r) * x1+r* (0.25*x2+0.25*x3+0.5*x4)
Overall ∈ [0,10]
Wherein, x1 indicates content dimension marking value, and x2 indicates fluency marking value, and x3 indicates grammer dimension marking value, x4
Indicate pronunciation dimension marking value, r indicates coefficient associated with spoken language answer result.
Fig. 2 is that the various dimensions of the speaking test of an embodiment assess the structure chart of device.As shown in Fig. 2, the device includes:
First obtains module 210, answers result for obtaining the spoken of examinee；
First determining module 220, for determining that, to the spoken dimensions for answering result, dimensions include at least content
Dimension, pronunciation dimension, grammer dimension and fluency；
Second obtains module 230, for being based on dimensions, obtains dimension score value corresponding with dimensions；
Second determining module 240 determines the spoken comprehensive grading value for answering result for being based on each dimension score value；
Third determining module 250 determines the assessment knot to examinee for being based on comprehensive grading value and each dimension score value
Fruit.
In the present invention, obtains the spoken of examinee and answer result；It determines to the spoken dimensions for answering result, it is described
Dimensions include at least content dimension, pronunciation dimension, grammer dimension and fluency；Based on the dimensions, acquisition and institute
The corresponding dimension score value of commentary fractional dimension；Based on each dimension score value, the comprehensive of the spoken answer result is determined
Close score value；Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.By
This, the present invention simultaneously can assess spoken answer of examinee based on multiple and different dimensions, can also be further formed comprehensive
Score value is closed to assess on the whole；In this way, the advantages of each student can directly know oneself and deficiency, timely improve oneself
Study plan；The relatively direct scheme for providing total score, it is explanatory stronger, relatively more objective to score.
In one implementation of the present embodiment, if dimensions include content dimension, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between content of text and preset reference answer；
Corresponding content dimension score value is determined based on integrity degree coefficient.
In one implementation of the present embodiment, if dimensions include pronunciation dimension, the second acquisition module is used for:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on standard pronunciation, accuracy of the pronunciation character relative to standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on accuracy.
In one implementation of the present embodiment, if dimensions include grammer dimension, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
Preset prediction model will be input to as parameter to each grammar property, and exported by the prediction model
Corresponding grammer dimension score value.
In one implementation of the present embodiment, if dimensions include fluency, the second acquisition module is used for:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in content of text；
Characteristic value corresponding with each time serial message is generated based on time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by fluency mould
Type exports corresponding fluency score value.
In the present embodiment, the realization process of apparatus above is identical as the content of above method, is specifically referred to top
The content of embodiment in method, the present embodiment are no longer specifically described in detail device.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of various dimensions appraisal procedure of speaking test, which is characterized in that the described method includes:
It obtains the spoken of examinee and answers result；
Determine that, to the spoken dimensions for answering result, the dimensions include at least content dimension, pronunciation dimension, language
Method dimension and fluency；
Based on the dimensions, dimension score value corresponding with the dimensions is obtained；
Based on each dimension score value, the spoken comprehensive grading value for answering result is determined；
Based on the comprehensive grading value and each dimension score value, the assessment result to the examinee is determined.
2. described the method according to claim 1, wherein if the dimensions include content dimension
Based on the dimensions, dimension score value corresponding with the dimensions is obtained, comprising:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between the content of text and preset reference answer；
Corresponding content dimension score value is determined based on the integrity degree coefficient.
3. described the method according to claim 1, wherein if the dimensions include pronunciation dimension
Based on the dimensions, dimension score value corresponding with the dimensions is obtained, comprising:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on the standard pronunciation, accuracy of the pronunciation character relative to the standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on the accuracy.
4. described the method according to claim 1, wherein if the dimensions include grammer dimension
Based on the dimensions, dimension score value corresponding with the dimensions is obtained, comprising:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
Preset prediction model will be input to as parameter to each grammar property, and exported and corresponded to by the prediction model
Grammer dimension score value.
5. the method according to claim 1, wherein if the dimensions include fluency, the base
In the dimensions, dimension score value corresponding with the dimensions is obtained, comprising:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in the content of text；
Characteristic value corresponding with each time serial message is generated based on the time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by described fluent
It spends model and exports corresponding fluency score value.
6. the various dimensions of speaking test a kind of assess device, which is characterized in that described device includes:
First obtains module, answers result for obtaining the spoken of examinee；
First determining module, for determining that the dimensions include at least interior to the spoken dimensions for answering result
Hold dimension, pronunciation dimension, grammer dimension and fluency；
Second obtains module, for being based on the dimensions, obtains dimension score value corresponding with the dimensions；
Second determining module determines the spoken comprehensive grading value for answering result for being based on each dimension score value；
Third determining module is determined for being based on the comprehensive grading value and each dimension score value to the examinee's
Assessment result.
7. device according to claim 6, which is characterized in that described if the dimensions include content dimension
Second acquisition module is used for:
Obtain the spoken content of text for answering result；
Determine the integrity degree coefficient between the content of text and preset reference answer；
Corresponding content dimension score value is determined based on the integrity degree coefficient.
8. device according to claim 6, which is characterized in that described if the dimensions include pronunciation dimension
Second acquisition module is used for:
The spoken pronunciation character answered in result is extracted based on the acoustic model that standard pronunciation is formed；
Based on the standard pronunciation, accuracy of the pronunciation character relative to the standard pronunciation is determined；
Corresponding pronunciation dimension score value is determined based on the accuracy.
9. device according to claim 6, which is characterized in that described if the dimensions include grammer dimension
Second acquisition module is used for:
Obtain the spoken content of text for answering result；
Punctuate is carried out to the content of text and obtains target sentences text；
Obtain the grammar property in the target sentences text；
It is input to preset prediction model using each grammar property as parameter, and corresponding by prediction model output
Grammer dimension score value.
10. device according to claim 6, which is characterized in that if the dimensions include fluency, described
Two acquisition modules are used for:
Obtain the spoken content of text for answering result；
Determine the time serial message of respective word in the content of text；
Characteristic value corresponding with each time serial message is generated based on the time serial message；
Characteristic value corresponding with each time serial message is input to preset fluency model, and by described fluent
It spends model and exports corresponding fluency score value.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110797010A (en) * | 2019-10-31 | 2020-02-14 | 腾讯科技（深圳）有限公司 | Question-answer scoring method, device, equipment and storage medium based on artificial intelligence |
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| CN115798513A (en) * | 2023-01-31 | 2023-03-14 | 新励成教育科技股份有限公司 | Talent expression management method, system and computer readable storage medium |
| CN116343824A (en) * | 2023-05-29 | 2023-06-27 | 新励成教育科技股份有限公司 | Comprehensive evaluation and solution method, system, device and medium for talent expression capability |
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