CN109408829A - Article readability determines method, apparatus, equipment and medium - Google Patents
Article readability determines method, apparatus, equipment and medium Download PDFInfo
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- CN109408829A CN109408829A CN201811331517.3A CN201811331517A CN109408829A CN 109408829 A CN109408829 A CN 109408829A CN 201811331517 A CN201811331517 A CN 201811331517A CN 109408829 A CN109408829 A CN 109408829A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/211—Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
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- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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Abstract
The embodiment of the invention discloses a kind of article readability to determine method, apparatus, equipment and medium, is related to text readability analysis field.This method comprises: sentence and/or paragraph in detection target article, determine the sentence characteristics of each sentence and/or the paragraph feature of each paragraph；The readable score of target article is determined according to the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph.A kind of article readability provided in an embodiment of the present invention determines method, apparatus, equipment and medium, realizes the accurate determination of article readability.
Description
Technical field
The present embodiments relate to text readability analysis fields more particularly to a kind of article readability to determine method, dress
It sets, equipment and medium.
Background technique
In the epoch of this internet information explosion, there is millions of article outputs daily.It is well known that readable
Good article can bring great economic significance to reader.
However, often there is sentence in the article of directly output or paragraph is discontinuous and sentence or paragraph exist it is wrong not
The case where word.These situations can all lead to article logical miss and the incoherent problem of text.These problems all directly affect text
The readability of chapter, so that really the article of readable good (clear logic, text are coherent) has lacked very much.
Therefore, how picking out readable good article and being pushed to reader becomes urgent problem to be solved.
Summary of the invention
The embodiment of the present invention provides a kind of article readability and determines method, apparatus, equipment and medium, to realize that article is readable
The accurate determination of property.
In a first aspect, the embodiment of the invention provides a kind of article readability to determine method, this method comprises:
The sentence and/or paragraph in target article are detected, the paragraph of the sentence characteristics and/or each paragraph that determine each sentence is special
Sign；
Determine that the readable of target article obtains according to the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph
Point.
Further, the sentence characteristics include: correlation in correlation and/or sentence between sentence.
Further, correlation includes: probability between similarity and/or sentence between sentence between adjacent sentence between the sentence；
Correlation includes: the puzzlement degree of each sentence in the sentence.
Further, described to determine target according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph
The readable score of article, comprising:
By the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph input dynamic cataloging mould trained in advance
Type exports the readable score of target article.
Second aspect, the embodiment of the invention also provides a kind of article readability determining device, which includes:
Characteristic determination module determines the sentence characteristics of each sentence for detecting sentence and/or paragraph in target article
And/or the paragraph feature of each paragraph；
Readable determining module, for true according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph
The readable score for the article that sets the goal.
Further, the sentence characteristics include: correlation in correlation and/or sentence between sentence.
Further, correlation includes: probability between similarity and/or sentence between sentence between adjacent sentence between the sentence；
Correlation includes: the puzzlement degree of each sentence in the sentence.
Further, the readable determining module, comprising:
Readable determination unit, for inputting the paragraph feature of the sentence characteristics of each sentence determined and/or each paragraph
Trained dynamic cataloging model in advance exports the readable score of target article.
The third aspect, the embodiment of the invention also provides a kind of equipment, the equipment includes:
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes that the article readability as described in any in the embodiment of the present invention determines method.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes that the article readability as described in any in the embodiment of the present invention determines method when the program is executed by processor.
The embodiment of the present invention by according in target article sentence characteristics and/or paragraph feature determine target article can
The property read score.To realize to there are sentence or paragraph be discontinuous and sentence or paragraph there are the readable of the article of wrong word
Property marking.And then it picks out readable good article and is pushed to reader.
Detailed description of the invention
Fig. 1 is the flow chart that a kind of article readability that the embodiment of the present invention one provides determines method；
Fig. 2 is the flow chart that a kind of article readability provided by Embodiment 2 of the present invention determines method；
Fig. 3 is a kind of structural schematic diagram of article readability model provided by Embodiment 2 of the present invention；
Fig. 4 is the flow chart that a kind of article readability that the embodiment of the present invention three provides determines method；
Fig. 5 is a kind of structural schematic diagram for article readability model that the embodiment of the present invention three provides；
Fig. 6 is a kind of structural schematic diagram for article readability determining device that the embodiment of the present invention four provides；
Fig. 7 is a kind of structural schematic diagram for equipment that the embodiment of the present invention five provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart that a kind of article readability that the embodiment of the present invention one provides determines method.The present embodiment can fit
The case where carrying out readable detection for the article to output.This method can be held by a kind of article readability determining device
Row, the device can be realized by the mode of software and/or hardware.Referring to Fig. 1, a kind of article provided in this embodiment is readable really
The method of determining includes:
Sentence and/or paragraph in S110, detection target article, determine the sentence characteristics and/or each paragraph of each sentence
Paragraph feature.
Specifically, the sentence characteristics include: correlation in correlation and/or sentence between sentence.Paragraph feature include: title and
Correlation between paragraph, and/or, the correlation between paragraph and paragraph.
Further, correlation includes: probability between similarity and/or sentence between sentence between adjacent sentence between the sentence；It is described
Correlation includes: the puzzlement degree of each sentence in sentence.
Wherein, probability indicates to generate next probability by current sentence between sentence.
Puzzlement degree (ppl) is for indicating whether sentence language is clear and coherent, if meets the logic of speaking of people, it is understood that be
Meet the probability that people speaks.
Specifically, probability and puzzlement degree can be determined according to language model trained in advance between sentence.
S120, determine target article according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph can
The property read score.
Specifically, can the paragraph features of sentence characteristics and/or each paragraph to determining each sentence be weighted summation,
Determine the readable score of target article.
Typically, described that target text is determined according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph
The readable score of chapter, comprising:
By the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph input dynamic cataloging mould trained in advance
Type exports the readable score of target article.
Optionally, dynamic cataloging model can be Dynamical Recurrent Neural Networks (Recurrent Neural Network,
RNN), dynamic shot and long term memory network (Long Short-Term Memory, LSTM) and dynamic gate cycling element (Gated
Any one of Recurrent Unit, GRU).
Because the quantity of paragraph and the quantity number of the sentence in paragraph are variable in target article.So building
Feature quantity based on paragraph or sentence is also variable.
And dynamic cataloging model can carry out polishing to feature for feature quantity when feature is inputted, after polishing
Feature input model.Also, when calculating loss using loss function in dynamic cataloging model, it is based only upon the place of true feature
It manages result and calculates loss, and avoid complementary features from doing model without costing bio disturbance the processing result of the feature of supplement
It disturbs.To the classification using dynamic cataloging model realization to the unfixed sentence characteristics of characteristic length or paragraph feature.
The technical solution of the embodiment of the present invention, by according in target article sentence characteristics and/or paragraph feature determine
The readable score of target article.To realize to there are sentence or paragraph be discontinuous and sentence or paragraph there are wrong words
Article readable marking.And then it picks out readable good article and is pushed to reader.
Embodiment two
Fig. 2 is the flow chart that a kind of article readability provided by Embodiment 2 of the present invention determines method.The present embodiment be
A kind of optinal plan proposed on the basis of above-described embodiment.Referring to fig. 2, article readability method packet provided in this embodiment
It includes:
Paragraph in S210, detection target article, determines the correlation between each paragraph and title and the phase between paragraph
Guan Xing.
S220, the correlation between determining each paragraph and title and the input of the correlation between paragraph are trained in advance
The readable model based on dynamic neural network, export target article readable score.
It, will be from the correlation between each paragraph extracted in target article and title and the correlation between paragraph referring to Fig. 3
Property as feature, input the readable model based on dynamic neural network, wherein the model includes weighted average layer and full link
Layer.Finally export the readable score of target article.
The technical solution of the embodiment of the present invention, by by the correlation between each paragraph and title and the phase between paragraph
Closing property inputs the readable model based on dynamic neural network, exports the readable score of article as feature.To realize base
In the readability detection of paragraph feature.
Embodiment three
Fig. 4 is the flow chart that a kind of article readability that the embodiment of the present invention three provides determines method.The present embodiment be
A kind of optinal plan proposed on the basis of above-described embodiment.Referring to fig. 4, article readability provided in this embodiment determines method
Include:
A large amount of high-quality document inputs are used to determine the neural network language model of sentence puzzlement degree, training to obtain an internal model
Type, and a large amount of high-quality documents inputs are used to determine across the sentence language model of probability between sentence, training obtains model between sentence.
Model, model and similarity model in sentence between the sentence that the sample files input training that Training document is concentrated is completed,
Similarity between the puzzlement degree and sentence of probability, sentence between the sentence of output sample files.
Using similarity is dynamic as sample characteristics input between the puzzlement degree and sentence of probability, sentence between the sentence of the sample files of output
State disaggregated model is trained, and obtains the readable model based on sentence characteristics.
Destination document is inputted into readable model, exports the readable score of destination document.
Referring to Fig. 5, feature extraction layer is by similarity between probability, puzzlement degree and sentence between the sentence of sentence in the destination document of extraction
As feature input feature vector layer；Feature is inputted dynamic cataloging network (any one of RNN, LSTM and GRU) layer by characteristic layer, by
Dynamic cataloging network layer exports destination document readability score.
The technical solution of the embodiment of the present invention by the degree feature that links up in correlative character between building sentence and sentence, and combines
Dynamic classifier constructs an article readability model.The model can judge automatically the readability of article, pick out good
Article.
It should be noted that by the technical teaching of the present embodiment, those skilled in the art have motivation by above-described embodiment
Described in any embodiment carry out the combination of scheme, to realize the determination to article readability.
Example IV
Fig. 6 is a kind of structural schematic diagram for article readability determining device that the embodiment of the present invention four provides.Referring to Fig. 6,
Article readability determining device provided in this embodiment includes: characteristic determination module 10 and readable determining module 20.
Wherein, characteristic determination module 10 determine the sentence of each sentence for detecting sentence and/or paragraph in target article
The paragraph feature of subcharacter and/or each paragraph；
Readable determining module 20, for according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph
Determine the readable score of target article.
The technical solution of the embodiment of the present invention, by according in target article sentence characteristics and/or paragraph feature determine
The readable score of target article.To realize to there are sentence or paragraph be discontinuous and sentence or paragraph there are wrong words
Article readable marking.And then it picks out readable good article and is pushed to reader.
Further, the sentence characteristics include: correlation in correlation and/or sentence between sentence.
Further, correlation includes: probability between similarity and/or sentence between sentence between adjacent sentence between the sentence；
Correlation includes: the puzzlement degree of each sentence in the sentence.
Further, the readable determining module, comprising: readable determination unit.
Wherein, readable determination unit, for by the paragraph feature of the sentence characteristics of each sentence determined and/or each paragraph
Input dynamic cataloging model trained in advance, exports the readable score of target article.
Article readability determining device provided by the embodiment of the present invention can be performed provided by any embodiment of the invention
Article readability determines method, has the corresponding functional module of execution method and beneficial effect.
Embodiment five
Fig. 7 is a kind of structural schematic diagram for equipment that the embodiment of the present invention five provides.Fig. 7, which is shown, to be suitable for being used to realizing this
The block diagram of the example devices 12 of invention embodiment.The equipment 12 that Fig. 7 is shown is only an example, should not be to of the invention real
The function and use scope for applying example bring any restrictions.
As shown in fig. 7, equipment 12 is showed in the form of universal computing device.The component of equipment 12 may include but unlimited
In one or more processor or processing unit 16, system storage 28, connecting different system components, (including system is deposited
Reservoir 28 and processing unit 16) bus 18.
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment 12
The usable medium of access, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Equipment 12 may further include it is other it is removable/nonremovable,
Volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing irremovable
, non-volatile magnetic media (Fig. 7 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 7, use can be provided
In the disc driver read and write to removable non-volatile magnetic disk (such as " floppy disk "), and to removable anonvolatile optical disk
The CD drive of (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver can
To be connected by one or more data media interfaces with bus 18.Memory 28 may include at least one program product,
The program product has one group of (for example, at least one) program module, these program modules are configured to perform each implementation of the invention
The function of example.
Program/utility 40 with one group of (at least one) program module 42 can store in such as memory 28
In, such program module 42 include but is not limited to operating system, one or more application program, other program modules and
It may include the realization of network environment in program data, each of these examples or certain combination.Program module 42 is usual
Execute the function and/or method in embodiment described in the invention.
Equipment 12 can also be communicated with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.),
Can also be enabled a user to one or more equipment interacted with the equipment 12 communication, and/or with enable the equipment 12 with
One or more of the other any equipment (such as network interface card, modem etc.) communication for calculating equipment and being communicated.It is this logical
Letter can be carried out by input/output (I/O) interface 22.Also, equipment 12 can also by network adapter 20 and one or
The multiple networks of person (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.As shown,
Network adapter 20 is communicated by bus 18 with other modules of equipment 12.It should be understood that although not shown in the drawings, can combine
Equipment 12 use other hardware and/or software module, including but not limited to: microcode, device driver, redundant processing unit,
External disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as realize that article readability provided by the embodiment of the present invention determines method.
Embodiment six
The embodiment of the present invention six additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should
Realize that the article readability as described in any in the embodiment of the present invention determines method, this method packet when program is executed by processor
It includes:
The sentence and/or paragraph in target article are detected, the paragraph of the sentence characteristics and/or each paragraph that determine each sentence is special
Sign；
Determine that the readable of target article obtains according to the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph
Point.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of article readability determines method characterized by comprising
The sentence and/or paragraph in target article are detected, determines the sentence characteristics of each sentence and/or the paragraph feature of each paragraph；
The readable score of target article is determined according to the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph.
2. the method according to claim 1, wherein the sentence characteristics include: between sentence in correlation and/or sentence
Correlation.
3. according to the method described in claim 2, it is characterized in that, correlation includes: between sentence between adjacent sentence between the sentence
Probability between similarity and/or sentence；
Correlation includes: the puzzlement degree of each sentence in the sentence.
4. method according to claim 1 to 3, which is characterized in that the sentence according to determining each sentence is special
Sign and/or the paragraph feature of each paragraph determine the readable score of target article, comprising:
The dynamic cataloging model that the input of the paragraph feature of the sentence characteristics of determining each sentence and/or each paragraph is trained in advance,
Export the readable score of target article.
5. a kind of article readability determining device characterized by comprising
Characteristic determination module, for detecting sentence and/or paragraph in target article, determine each sentence sentence characteristics and/or
The paragraph feature of each paragraph；
Readable determining module, for determining mesh according to the sentence characteristics of determining each sentence and/or the paragraph feature of each paragraph
Mark the readable score of article.
6. device according to claim 5, which is characterized in that the sentence characteristics include: between sentence in correlation and/or sentence
Correlation.
7. device according to claim 6, which is characterized in that correlation includes: between the sentence between adjacent sentence between the sentence
Probability between similarity and/or sentence；
Correlation includes: the puzzlement degree of each sentence in the sentence.
8. according to the device any in claim 5-7, which is characterized in that the readability determining module, comprising:
Readable determination unit, it is preparatory for inputting the paragraph feature of the sentence characteristics of each sentence determined and/or each paragraph
Trained dynamic cataloging model exports the readable score of target article.
9. a kind of equipment, which is characterized in that the equipment includes:
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now the article readability as described in any in claim 1-4 determines method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
Realize that the article readability as described in any in claim 1-4 determines method when execution.
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| CN110750979A (en) * | 2019-10-17 | 2020-02-04 | 科大讯飞股份有限公司 | Method for determining continuity of chapters and detection device |
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| CN110852087A (en) * | 2019-09-23 | 2020-02-28 | 腾讯科技（深圳）有限公司 | Chinese error correction method and device, storage medium and electronic device |
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| CN110874313A (en) * | 2019-11-18 | 2020-03-10 | 北京百度网讯科技有限公司 | Writing tool testing method and device |
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