CN104361132A - Language data processing method and language data processing device - Google Patents
Language data processing method and language data processing device Download PDFInfo
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- CN104361132A CN104361132A CN201410749158.9A CN201410749158A CN104361132A CN 104361132 A CN104361132 A CN 104361132A CN 201410749158 A CN201410749158 A CN 201410749158A CN 104361132 A CN104361132 A CN 104361132A
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Abstract
The application provides a language data processing method and a language data processing device which can be used for achieving analysis of article reading and writing topics. The method comprises a first processing method and a second processing method, wherein the first processing method comprises the following steps: when a reading instruction is received, displaying a target article corresponding to an article mark in the reading instruction, obtaining a to-be-answered question of the target article, determining a feature type contained in the to-be-answered question according to preset feature keywords, and obtaining an answer content of the to-be-answered question so as to display the feature type and the answer content and achieve the analysis of feature points contained in relative questions of the reading article; and the second processing method comprises the following steps: when a writing instruction is received, acquiring a writing topic, determining a literary type of the writing topic according to preset literary keywords, and acquiring a writing feature corresponding to the literary type so as to display the literary type and the writing feature and achieve the analysis of the wiring topic.
Description
Technical field
The application relates to data processing method and device, and the language data disposal route and device analyzed are read and write to especially a kind of article that can automatically realize.
Background technology
The study of linguistry, generally includes word, sentence and article many aspects, wherein can also be further divided into the reading analysis to existing article to the study of article, and how study writes one section of article.Particularly, when analyzing existing article, can generate for article and wait to answer exercise question, learner, by treating the answer of answer exercise question, realizes the reading analysis to article, and the article that this mode of learning is common in student's Chinese curriculum is read; During study writing, can by given specific Writing Requirements, learner by analyzing Writing Requirements, self's material, and then completes one section of article.
But, above-mentioned the reading analysis of article and the analysis of Writing Requirements all manually to be realized by language learner.
Summary of the invention
In view of this, the invention provides a kind of language data disposal route and device, in order to realize automatically to the reading analysis of article and to the goal analysis of writing topic.For realizing described object, technical scheme provided by the invention is as follows:
A kind of language data disposal route, comprising: the first disposal route and the second disposal route; Wherein:
Described first disposal route comprises:
When receiving reading instruction, display identifies corresponding target article with the article in described reading instruction;
What obtain described target article treats answer exercise question;
Treat the element type that answer exercise question comprises described in determining according to default key element keyword, and wait described in obtaining to answer answer content corresponding to exercise question;
Show described element type and described answer content;
Described second disposal route comprises:
When receiving writing instruction, obtain writing exercise question;
Determine the Stylistic Typology of described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology;
Show described Stylistic Typology and described writing elements.
Alternatively, described foundation preset key element keyword determine described in wait that answering the element type that comprises of exercise question comprises:
Treat that answer exercise question carries out word segmentation processing by described, obtain multiple reading exercise question word;
Each described reading exercise question word and default key element keyword are compared;
When certain reading exercise question word is identical with certain default key element keyword, described in being defined as by element type corresponding for this default key element keyword, treat the element type that answer exercise question comprises.
Alternatively, described foundation is preset style keyword and is determined that the Stylistic Typology that described writing exercise question is corresponding comprises:
Described writing exercise question is carried out word segmentation processing, obtains multiple writing exercise question word;
Each described writing exercise question word and default style keyword are compared;
When certain writing exercise question word is identical with default style keyword, Stylistic Typology corresponding for this default style keyword is defined as Stylistic Typology corresponding to described writing exercise question.
Alternatively, after described display identifies corresponding target article with the article in described reading instruction, also comprise:
When receiving speech play instruction, play the voice of described target article.
Alternatively, after described display identifies corresponding target article with the article in described reading instruction, also comprise:
In presetting database, obtain multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification;
According to multiple described set identification, the article factor data in the described article elements combination of classification display.
Alternatively, after described display identifies corresponding target article with the article in described reading instruction, also comprise:
When receiving the article elements combination of user's input, judge that whether article factor data is wherein correct;
If so, the information that input is correct is shown;
Otherwise, the information of display input error.
Alternatively, also comprise:
According to described default object keyword, determine the object type of described writing exercise question;
Search and described Stylistic Typology and the equal corresponding article of described object type;
When finding, the article found is shown.
The application also provides a kind of language data treating apparatus, comprising: the first treating apparatus and the second treating apparatus; Wherein:
Described first treating apparatus comprises:
Target article display unit, for when receiving reading instruction, display identifies corresponding target article with the article in described reading instruction;
Treat answer exercise question acquiring unit, for obtain described target article wait answer exercise question;
Key element and answer determining unit, treat the element type that answer exercise question comprises, and wait described in obtaining to answer answer content corresponding to exercise question described in determining according to default key element keyword;
Key element and answer display unit, for showing described element type and described answer content;
Described second treating apparatus comprises:
Writing exercise question acquiring unit, for when receiving writing instruction, obtains writing exercise question;
Style and key element determining unit, for determining the Stylistic Typology of described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology;
Style and key element display unit, for showing described Stylistic Typology and described writing elements.
Alternatively, described first treating apparatus also comprises:
Voice playing unit, after identifying corresponding target article in described display with the article in described reading instruction, when receiving speech play instruction, plays the voice of described target article.
Alternatively, described first treating apparatus also comprises:
Want vegetarian refreshments display unit, after identifying corresponding target article in described display with the article in described reading instruction, in presetting database, obtain multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification, and according to multiple described set identification, the article factor data in the described article elements combination of classification display.
Alternatively, described first treating apparatus also comprises:
Answer judging unit, after identifying corresponding target article in described display with the article in described reading instruction, when receiving the article elements combination of user's input, judges that whether article factor data is wherein correct; If so, the information that input is correct is shown; Otherwise, the information of display input error.
Alternatively, described second treating apparatus also comprises:
Article search unit of the same type, for according to described default object keyword, determines the object type of described writing exercise question; Search and described Stylistic Typology and the equal corresponding article of described object type; When finding, the article found is shown.
From above technical scheme, the invention provides a kind of language data disposal route and device, the method comprises the first disposal route and the second disposal route, wherein the first disposal route comprises: when receiving reading instruction, show and identify corresponding target article with the article read in instruction, what obtain target article treats answer exercise question, the element type treating that answer exercise question comprises is determined according to default key element keyword, and obtain the answer content waiting to answer exercise question, and then show element type and answer content, realize the analysis wanting vegetarian refreshments that reading articles related topic is comprised, second disposal route comprises: when receiving writing instruction, obtain writing exercise question, determine according to default style keyword the Stylistic Typology writing exercise question, and obtain writing elements corresponding to Stylistic Typology, and then show Stylistic Typology and writing elements, realize the goal analysis of writing topic.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The process flow diagram of the first disposal route in the language data disposal route that Figure 1A provides for the embodiment of the present invention;
The process flow diagram of the second disposal route in the language data disposal route that Figure 1B provides for the embodiment of the present invention;
The process flow diagram of the first disposal route in the language data disposal route that Fig. 2 provides for another embodiment of the present invention;
The process flow diagram of the second disposal route in the language data disposal route that Fig. 3 provides for further embodiment of this invention;
The structural drawing of the language data treating apparatus that Fig. 4 provides for the embodiment of the present invention;
The structural drawing of the first treating apparatus in the language data treating apparatus that Fig. 5 provides for the embodiment of the present invention;
The structural drawing of the second treating apparatus in the language data treating apparatus that Fig. 6 provides for the embodiment of the present invention;
The exemplary plot of the classification display article elements combination that Fig. 7 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
With reference to Figure 1A and Figure 1B, it illustrates the flow process of the language data disposal route that the embodiment of the present invention provides, language data disposal route comprises the first disposal route S100 and the second disposal route S200.
Wherein, the first disposal route S100 is reading guide method, as shown in Figure 1A, comprises the following steps:
Step S101: when receiving reading instruction, display identifies corresponding target article with the article in described reading instruction.
In the present embodiment, can prestore many sections of articles, and every section of article has respective article mark, this article mark can be the exercise question of article.Before instruction is read in reception, the mark of many sections of articles can be shown in advance, select for user.
User can select the article mark of wanting to read in many sections of articles, and reads instruction by the Man Machine Interface input provided, and certainly, comprises the mark of this section of article in this reading instruction.Such as, provide interactive interface, the reading button that user clicks in interactive interface reads instruction to generate, or provide speech input interface, user is by the instruction of speech input interface input voice, after receiving voice instruction, generate after resolving this voice message and read instruction.Certainly, these two kinds of interactive modes are only a kind of examples, and can also be other instruction input modes, the present invention be also not specifically limited.
According to the article mark of reading in instruction, in the many sections of articles prestored, determine the article that article mark is corresponding, and the article determined is shown.
Step S102: what obtain described target article treats answer exercise question.
Wherein, read exercise question to refer to and answer exercise question according to waiting of generating of the content of target article selected.What get treats that answer exercise question can prestore, the article namely prestored for every section, and corresponding stored every section article treating separately answers exercise question, after determining target article, then obtain accordingly target article wait answer exercise question.Certainly, this treats that answer exercise question can also be that user inputs, and namely points out user to input exercise question to be answered, and user waits to answer exercise question interactive interface input.
Step S103: treat the element type that answer exercise question comprises described in determining according to default key element keyword, and wait described in obtaining to answer answer content corresponding to exercise question.
Wherein, element type refers to the answer point treating that answer exercise question comprises.It should be noted that, prestore multiple keyword, prestore multiple answer point (i.e. element type), and prestore the corresponding relation of keyword and answer point, namely treat to comprise which keyword in answer exercise question, then illustrate that this treats which answer point answer exercise question comprises.Thus, this keyword can be utilized, just can determine and treat that answer exercise question comprises which or which element type, thus complete analysis exercise question, and find the answer point of exercise question.Concrete defining method can with reference to hereafter.
It should be noted that, answer content can prestore, and can also be that remote equipment sends.Even treat that answer exercise question is what prestore, then store simultaneously wait to answer answer content corresponding to exercise question; If treat, answer exercise question is that user inputs, then this can be treated that answer exercise question is sent to remote equipment, another user sends answer content by this remote equipment.Wherein, the second way can think long-range guidance.
Step S104: show described element type and described answer content.
Wherein, will the element type (answer point) that answer exercise question comprises be treated and wait that the answer content answering exercise question is shown to user, thus realize item analysis and the answer to reading class article.
It should be noted that, element type in this step and answer content can be show simultaneously, also can be successively display, namely the element type that exercise question comprises first is shown, after preset time period or user input idsplay order, then display answer content, like this, the time of user's self thought can be left for, play better exercise question answer and instruct effect, better user experience.
The embodiment of the present invention, except comprising above-mentioned reading analysis, also comprises writing and analyzes i.e. the second disposal route, as shown in Figure 1B, specifically comprise the following steps:
Step S201: when receiving writing instruction, obtains writing exercise question.
Wherein, writing instruction is that user inputs, and as the explanation of above-mentioned first disposal route, input mode can be by interactive interface or interactive voice interface.When after the writing instruction receiving user's input, obtain item content to be write.This item content to be write can be that user inputs, and also can prestore.
Step S202: the Stylistic Typology determining described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology.
Wherein, Stylistic Typology can comprise argumentative writing, expository writing and narrative etc.Prestore style keyword, and prestore Stylistic Typology corresponding to each style keyword, then when determining, can according to style keyword, determine the Stylistic Typology writing exercise question, namely first can determine to write style keyword corresponding to exercise question, then Stylistic Typology corresponding for the style keyword determined is defined as the Stylistic Typology of this writing exercise question.Concrete defining method can vide infra description.
Prestore the corresponding writing elements of often kind of Stylistic Typology, after determining the Stylistic Typology that writing exercise question is corresponding, obtain the writing elements that this Stylistic Typology is corresponding.Certainly, the writing elements that often kind of Stylistic Typology is corresponding can prestore.
Step S203: show described Stylistic Typology and described writing elements.
Wherein, the Stylistic Typology determined and the writing elements got are shown to user, to realize the training guidance of the writing exercise question to user's input.
Certainly, in above-mentioned writing guidance, step S202 can be that user is completed by remote equipment, namely after getting writing exercise question, this writing exercise question is sent to remote equipment, the writing exercise question received is supplied to another user by this remote equipment, and Stylistic Typology and writing elements are returned by this remote equipment by this another user.Visible, what namely this kind of mode realized is remote guide.
From above technical scheme, embodiments provide a kind of language data disposal route, this language data disposal route comprises the first disposal route and the second disposal route, wherein, first disposal route comprises: when receiving reading instruction, display identifies corresponding target article with the article in this reading instruction, what obtain this target article treats answer exercise question, the element type treating that answer exercise question comprises is determined according to the key element keyword preset, and obtain the answer content waiting to answer exercise question, and then show element type and answer content, realize the reading guide to user, second disposal route comprises: when receiving writing instruction, obtain writing exercise question, determine according to the style keyword preset the Stylistic Typology writing exercise question, and obtain writing elements corresponding to Stylistic Typology, and then show Stylistic Typology and writing elements, realize the writing guidance to user.Visible, the language data disposal route that the embodiment of the present invention provides can realize reading to user and writing guidance.
Wherein, in above-described embodiment, described in determining according to default key element keyword in step S103, wait that a kind of specific implementation answering the element type that exercise question comprises can be:
Treat that answer exercise question carries out word segmentation processing by described, obtain multiple reading exercise question word; Each described reading exercise question word and default key element keyword are compared; When certain reading exercise question word is identical with certain default key element keyword, described in being defined as by element type corresponding for this default key element keyword, treat the element type that answer exercise question comprises.
Particularly, treat the long sentence that answer exercise question is made up of one group of word, will treat that answer exercise question participle is decomposed into multiple word by long sentence, thus the word of acquisition is mated one by one with the keyword preset.When certain reading exercise question word is identical with the keyword preset, then element type corresponding for this keyword is defined as the element type of waiting to answer exercise question.Briefly, preset key element keyword and refer to the topic type waiting to answer exercise question, element type refers to the answer point of such topic type.
Such as, treat that answer exercise question is for " contacting above, have a talk about you to the 3rd section line sentence understanding ", will after answer exercise question participle, obtain word for " contact " " above " " have a talk about " " you " " to " " the 3rd section " " line sentence " " " " understanding ", word comprises " understanding " this key element keyword, illustrate that this is entitled as understanding topic, the answer key element of understanding topic is article content and purport center, element type corresponding to this key element keyword and content and purport is inscribed owing to prestoring Rational Solutions, therefore, content and these two element type of purport center are shown to user, answer is carried out from these two aspects to point out user.
And for example, waiting to answer exercise question is the expression effect of line sentence of the 4th section " in the brief analysis article ", in like manner, these key element keywords of " brief analysis " " expression effect " will be comprised in exercise question known after exercise question participle, illustrate that this is entitled as appreciation topic, the answer key element of appreciation topic is article content, expression way and purport center, element type corresponding to this key element keyword and content, expression way and purport is inscribed owing to being previously stored with appreciation, therefore, these three element type are shown to user, carry out answer to point out user from these three aspects.
In addition, in above-described embodiment, in step S202, determine that a kind of specific implementation of the Stylistic Typology that described writing exercise question is corresponding can be according to presetting style keyword:
Described writing exercise question is carried out word segmentation processing, obtains multiple writing exercise question word; Each described writing exercise question word and default style keyword are compared; When certain writing exercise question word is identical with default style keyword, Stylistic Typology corresponding for this default style keyword is defined as Stylistic Typology corresponding to described writing exercise question.
To above-mentioned to treat the processing mode answering exercise question similar, in this kind of implementation, writing exercise question carried out decomposition and obtain multiple writing exercise question word, by being mated one by one with keyword by writing exercise question word, determining the Stylistic Typology of writing exercise question.
Such as, writing exercise question is " please write one section of narrative about teacher ".After being decomposed by exercise question, comprise " narrative " style keyword in this exercise question known, being previously stored with Stylistic Typology corresponding to these style keywords is narrative, and then narrative is shown to user.
After step slol, can also comprising: when receiving speech play instruction, playing the voice of described target article.
Particularly, the speech data of target article is prestored.After display-object article, user wants the mode by listening to voice to help self reading articles, can input speech play instruction by interactive interface.Input mode can, with reference to the input mode of above other instructions, namely can be the broadcast button by clicking in interactive interface, or, voice content is inputted by speech input interface, after receiving this voice content, resolve this voice content, thus generate speech play instruction.
And then utilize article to identify, obtain the speech data of this target article, and play this speech data, thus reach the effect helping user's reading articles.Certainly, time-out, advance, retrogressing can also be provided to user in the lump, broadcast soon, broadcast slowly and the several functions button such as stopping, to realize corresponding function respectively.
With reference to Fig. 2, it illustrates another flow process of the first disposal route in the language data disposal route that the embodiment of the present invention provides, on above-mentioned steps S101 to step S104 basis, can also comprise:
Step S105: in presetting database, obtains multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification.
Wherein, in presetting database, store the article elements combination of multiple article, after for user's display-object article, in presetting database, the article elements combination of article marker extraction target article can be utilized.It should be noted that, article elements combination refers to the information point set generated according to article content.Certainly, multiple information point can belong to same type, then using the plurality of information point as an elements combination.
Such as, article key element can be author's key element, object element, purport key element and grammatical key element.Wherein, author's key element refers to the essential information of author, such as, and the identity information of author, background information, masterpiece information.Object element refers to the object that article describes, such as, and object behaviour, thing, scape, event etc.Purport key element refers to the viewpoint of article expression, the thought etc. of elaboration.Syntax key element comprises text structure, expression way, rhetorical devices etc.Certainly, described four kinds of elements combinations are only a kind of examples, and the present invention is also not specifically limited.
It should be noted that, above-mentioned several article elements combination is the data prestored in a database, and this step reads from database.In addition, article elements combination can think the information point in article, and namely obtain article elements combination is the multiple information points obtaining this article.
Step S106: according to multiple described set identification, the article factor data in the described article elements combination of classification display.
The article elements combination got needs to be shown to user.The mode of display can be the mark classification display utilizing article elements combination.Such as, set identification is author, object, purport and the syntax, that is, and the factor data in display interface in each article key element of classification display.Wherein, factor data refers to the data content comprised in article elements combination.Such as, factor data in author's elements combination refers to the particular content of author's essential information, the particular content of the factor data in object element set i.e. this target article how description object, factor data in the purport elements combination i.e. particular content of this viewpoint expressed by target article, the particular content of the factor data comprised in the grammatical elements combination i.e. particular content of this target text structure, the expression way used and rhetorical devices.
It should be noted that, in Fig. 2, step S105 and step S106 performs after step s 104, but specific implementation is not limited to this kind of order, and step S105 and step S106 only need perform after step slol.
Alternatively, above-mentioned according to multiple described set identification, the specific implementation of the article factor data in classification display article elements combination can be:
Display transverse and longitudinal two coordinate axis, generate the circumference that radius is preset value in the coordinate system that these two coordinate axis represent, utilize the article factor data of described two coordinate axis and described circumference classification display article elements combination.
More specifically, a kind of mode of classification display can be that circumference is divided into four parts by coordinate axis, and the circumference in every part shows a class content respectively.Certainly, classification display another kind of mode can be, circumference and at least one coordinate axis tangent, obtain at least one points of tangency, generate another circumference, and this another circumference and above-mentioned circumference are also tangent by above-mentioned arbitrary points of tangency.When article elements combination is above-mentioned four class, two coordinate axis show author's factor data and grammatical factor data respectively, and the first circumference is used for display object factor data, and another circumference is for showing purport factor data.Concrete display mode can see Fig. 7.
In addition, on the basis of each embodiment above-mentioned, the present invention can also realize the judgement of the exercise question answer data to user's input, as shown in Figure 2, on the basis of above-mentioned steps S101 to step S106, can also comprise:
Step S107: when receiving the article elements combination of user's input, judges that whether article factor data is wherein correct; If so, step S108 is performed, otherwise, perform step S109.
Step S108: the information that display input is correct.
Step S109: the information of display input error.
Particularly, the explanation of article elements combination can refer to above, namely comprises the information point content of article factor data and article content in article elements combination, as author information, object information, purport information and stylistic information etc.After user inputs corresponding information point content, the content of input and the content that prestores can be compared, whether correct to judge the content inputted.Such as, the factor data in the object element set prestored and the content of object information are personage, when the object information inputted is personage, illustrate that input is correct, perform step S108, when the object information of user's input is event, then input error is described, performs step S109.
The technical scheme provided from the present embodiment, for target article, user can carry out answer, after the answer content inputted user judges, judged result is showed user.Visible, the present embodiment not only can analyze article content, can also carry out answer alternately, improve Consumer's Experience with user.
See Fig. 3, it illustrates another flow process of the second disposal route in the language data disposal route that the embodiment of the present invention provides, on the basis of above-mentioned steps S201 to step S203, can also comprise:
Step S204: according to described default object keyword, determine the object type of described writing exercise question.
In the present embodiment, determine the Stylistic Typology of target article at above-mentioned steps S202 after, the object type writing exercise question can be determined further.Wherein, object type refers to the object of writing, can be people, thing, thing, scape or event etc.Certainly, this several object type is only a kind of example, can also be other types, and the present invention is also not specifically limited.
Wherein, the object type writing exercise question is determined according to default object keyword.Particularly, writing exercise question is carried out participle, obtain multiple exercise question word, each exercise question word is compared with default object keyword respectively, when certain exercise question word is identical with default object keyword, then object type corresponding for this default object keyword is defined as the object type writing exercise question.
Such as, writing exercise question is " please write one section of narrative about teacher ", comprises " teacher " this object keyword after participle, and is previously stored with object type corresponding to this object keyword for personage's topic.
Step S205: search and described object type and the equal corresponding article of described Stylistic Typology.
Particularly, the mode of searching can comprise searches and this locality searches two kinds online.Wherein, search online and namely searched for by network, the keyword of search comprises object type and Stylistic Typology.This locality is searched namely in the database of this locality, prestores many sections of articles, and the object type of corresponding stored article and Stylistic Typology.When after the object type determining writing exercise question and Stylistic Typology, search the article that both are all identical in the local database.
Such as, the Stylistic Typology determined is narrative, object type is personage, then need to search the narrative describing personage.
Step S206: when finding, shows the article found.
From above technical scheme, the present embodiment can be searched and of the same typely namely search Stylistic Typology and all identical article of object type, and the article searched is shown to user, for its study.
Below the language data treating apparatus that the embodiment of the present invention provides is introduced, it should be noted that, about the explanation of language data treating apparatus hereafter with reference to language data disposal route provided above, can not repeat below.
With reference to Fig. 4, it illustrates the structure of the language data treating apparatus that the embodiment of the present invention provides, specifically comprise: the first treating apparatus 100 and the second treating apparatus 200; Wherein:
Described first treating apparatus 100 comprises:
Target article display unit 101, for when receiving reading instruction, display identifies corresponding target article with the article in described reading instruction;
Treat answer exercise question acquiring unit 102, for obtain described target article wait answer exercise question;
Key element and answer determining unit 103, treat the element type that answer exercise question comprises, and wait described in obtaining to answer answer content corresponding to exercise question described in determining according to default key element keyword;
Key element and answer display unit 104, for showing described element type and described answer content;
Described second treating apparatus 200 comprises:
Writing exercise question acquiring unit 201, for when receiving writing instruction, obtains writing exercise question;
Style and key element determining unit 202, for determining the Stylistic Typology of described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology;
Style and key element display unit 203, for showing described Stylistic Typology and described writing elements.
With reference to shown in Fig. 5, the first above-mentioned treating apparatus 100, on the basis of above-described embodiment, can also comprise:
Voice playing unit 105, after identifying corresponding target article in described display with the article in described reading instruction, when receiving speech play instruction, plays the voice of described target article.
Want vegetarian refreshments display unit 106, after identifying corresponding target article in described display with the article in described reading instruction, in presetting database, obtain multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification, and according to multiple described set identification, the article factor data in the described article elements combination of classification display.
Answer judging unit 107, after identifying corresponding target article in described display with the article in described reading instruction, when receiving the article elements combination of user's input, judges that whether article factor data is wherein correct; If so, the information that input is correct is shown; Otherwise, the information of display input error.
With reference to shown in Fig. 6, the second above-mentioned treating apparatus 200, on the basis of above-described embodiment, can also comprise:
Article search unit 204 of the same type, for according to described default object keyword, determines the object type of described writing exercise question; Search and described Stylistic Typology and the equal corresponding article of described object type; When finding, the article found is shown.
It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.
Also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising above-mentioned key element and also there is other identical element.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (12)
1. a language data disposal route, is characterized in that, comprising: the first disposal route and the second disposal route; Wherein:
Described first disposal route comprises:
When receiving reading instruction, display identifies corresponding target article with the article in described reading instruction;
What obtain described target article treats answer exercise question;
Treat the element type that answer exercise question comprises described in determining according to default key element keyword, and wait described in obtaining to answer answer content corresponding to exercise question;
Show described element type and described answer content;
Described second disposal route comprises:
When receiving writing instruction, obtain writing exercise question;
Determine the Stylistic Typology of described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology;
Show described Stylistic Typology and described writing elements.
2. language data disposal route according to claim 1, is characterized in that, described foundation preset key element keyword determine described in wait that answering the element type that comprises of exercise question comprises:
Treat that answer exercise question carries out word segmentation processing by described, obtain multiple reading exercise question word;
Each described reading exercise question word and default key element keyword are compared;
When certain reading exercise question word is identical with certain default key element keyword, described in being defined as by element type corresponding for this default key element keyword, treat the element type that answer exercise question comprises.
3. language data disposal route according to claim 1, is characterized in that, described foundation is preset style keyword and determined that the Stylistic Typology that described writing exercise question is corresponding comprises:
Described writing exercise question is carried out word segmentation processing, obtains multiple writing exercise question word;
Each described writing exercise question word and default style keyword are compared;
When certain writing exercise question word is identical with default style keyword, Stylistic Typology corresponding for this default style keyword is defined as Stylistic Typology corresponding to described writing exercise question.
4. language data disposal route according to claim 1, is characterized in that, after described display identifies corresponding target article with the article in described reading instruction, also comprises:
When receiving speech play instruction, play the voice of described target article.
5. language data disposal route according to claim 1, is characterized in that, after described display identifies corresponding target article with the article in described reading instruction, also comprises:
In presetting database, obtain multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification;
According to multiple described set identification, the article factor data in the described article elements combination of classification display.
6. language data disposal route according to claim 1, is characterized in that, after described display identifies corresponding target article with the article in described reading instruction, also comprises:
When receiving the article elements combination of user's input, judge that whether article factor data is wherein correct;
If so, the information that input is correct is shown;
Otherwise, the information of display input error.
7. language data disposal route according to claim 1, is characterized in that, also comprise:
According to described default object keyword, determine the object type of described writing exercise question;
Search and described Stylistic Typology and the equal corresponding article of described object type;
When finding, the article found is shown.
8. a language data treating apparatus, is characterized in that, comprising: the first treating apparatus and the second treating apparatus; Wherein:
Described first treating apparatus comprises:
Target article display unit, for when receiving reading instruction, display identifies corresponding target article with the article in described reading instruction;
Treat answer exercise question acquiring unit, for obtain described target article wait answer exercise question;
Key element and answer determining unit, treat the element type that answer exercise question comprises, and wait described in obtaining to answer answer content corresponding to exercise question described in determining according to default key element keyword;
Key element and answer display unit, for showing described element type and described answer content;
Described second treating apparatus comprises:
Writing exercise question acquiring unit, for when receiving writing instruction, obtains writing exercise question;
Style and key element determining unit, for determining the Stylistic Typology of described writing exercise question according to default style keyword, and obtain writing elements corresponding to described Stylistic Typology;
Style and key element display unit, for showing described Stylistic Typology and described writing elements.
9. language data treating apparatus according to claim 8, is characterized in that, described first treating apparatus also comprises:
Voice playing unit, after identifying corresponding target article in described display with the article in described reading instruction, when receiving speech play instruction, plays the voice of described target article.
10. language data treating apparatus according to claim 8, is characterized in that, described first treating apparatus also comprises:
Want vegetarian refreshments display unit, after identifying corresponding target article in described display with the article in described reading instruction, in presetting database, obtain multiple article elements combinations of described target article; Wherein, each described article elements combination has respective set identification, and according to multiple described set identification, the article factor data in the described article elements combination of classification display.
11. language data treating apparatus according to claim 8, is characterized in that, described first treating apparatus also comprises:
Answer judging unit, after identifying corresponding target article in described display with the article in described reading instruction, when receiving the article elements combination of user's input, judges that whether article factor data is wherein correct; If so, the information that input is correct is shown; Otherwise, the information of display input error.
12. language data treating apparatus according to claim 8, is characterized in that, described second treating apparatus also comprises:
Article search unit of the same type, for according to described default object keyword, determines the object type of described writing exercise question; Search and described Stylistic Typology and the equal corresponding article of described object type; When finding, the article found is shown.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107330040A (en) * | 2017-06-27 | 2017-11-07 | 李博 | One kind study topic searching method and its system |
CN108038191A (en) * | 2017-12-11 | 2018-05-15 | 掌阅科技股份有限公司 | Automatic generation method, electronic equipment and the computer-readable storage medium of e-book problem |
CN110059636A (en) * | 2019-04-20 | 2019-07-26 | 广东小天才科技有限公司 | Method and system for checking and correcting learning homework of students |
CN111782771A (en) * | 2020-07-09 | 2020-10-16 | 北京猿力未来科技有限公司 | Character problem solving method and device |
CN112307176A (en) * | 2020-03-09 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Method and device for guiding user to write |
CN112749318A (en) * | 2020-02-24 | 2021-05-04 | 云天弈(广州)智能科技有限公司 | Intelligent writing system and method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050138548A1 (en) * | 2003-12-17 | 2005-06-23 | International Business Machines Corporation | Computer aided authoring and browsing of an electronic document |
CN101354840A (en) * | 2008-09-08 | 2009-01-28 | 众智瑞德科技(北京)有限公司 | Method and apparatus for performing voice reading control of electronic book |
CN101877179A (en) * | 2009-04-28 | 2010-11-03 | 国立云林科技大学 | System for improving reading ability |
CN102279846A (en) * | 2010-06-10 | 2011-12-14 | 英业达股份有限公司 | Article assisting writing system and method thereof |
-
2014
- 2014-12-09 CN CN201410749158.9A patent/CN104361132B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050138548A1 (en) * | 2003-12-17 | 2005-06-23 | International Business Machines Corporation | Computer aided authoring and browsing of an electronic document |
CN101354840A (en) * | 2008-09-08 | 2009-01-28 | 众智瑞德科技(北京)有限公司 | Method and apparatus for performing voice reading control of electronic book |
CN101877179A (en) * | 2009-04-28 | 2010-11-03 | 国立云林科技大学 | System for improving reading ability |
CN102279846A (en) * | 2010-06-10 | 2011-12-14 | 英业达股份有限公司 | Article assisting writing system and method thereof |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107330040A (en) * | 2017-06-27 | 2017-11-07 | 李博 | One kind study topic searching method and its system |
CN108038191A (en) * | 2017-12-11 | 2018-05-15 | 掌阅科技股份有限公司 | Automatic generation method, electronic equipment and the computer-readable storage medium of e-book problem |
CN110059636A (en) * | 2019-04-20 | 2019-07-26 | 广东小天才科技有限公司 | Method and system for checking and correcting learning homework of students |
CN110059636B (en) * | 2019-04-20 | 2022-08-30 | 广东小天才科技有限公司 | Method and system for checking and correcting learning homework of students |
CN112749318A (en) * | 2020-02-24 | 2021-05-04 | 云天弈(广州)智能科技有限公司 | Intelligent writing system and method |
CN112749318B (en) * | 2020-02-24 | 2024-03-26 | 云天弈(广州)智能科技有限公司 | Intelligent writing system and method |
CN112307176A (en) * | 2020-03-09 | 2021-02-02 | 北京字节跳动网络技术有限公司 | Method and device for guiding user to write |
CN111782771A (en) * | 2020-07-09 | 2020-10-16 | 北京猿力未来科技有限公司 | Character problem solving method and device |
CN111782771B (en) * | 2020-07-09 | 2024-07-30 | 北京猿力未来科技有限公司 | Text question solving method and device |
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