CN108763468A - Dictionary sequence processing method, device and e-learning equipment - Google Patents
Dictionary sequence processing method, device and e-learning equipment Download PDFInfo
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Abstract
A kind of dictionary sequence processing method, device and e-learning equipment provided by the invention.Wherein, dictionary sequence processing method includes：The identical word of the first character nodes is put into corresponding same ordered set；The ordered set is arranged according to sequence from small to large according to corresponding first quantity of each ordered set；According to the classification of the second character nodes of the word in each ordered set, ordered set is divided into multiple sort subsets respectively；The corresponding sort subset of each ordered set is ranked up successively, to obtain ranking results；Thinking cloud atlas is generated according to pre-defined rule according to ranking results and the corresponding multiple words of selected dictionary, so that e-learning equipment is shown.It is, the letter in existing dictionary is resequenced according to quantitative relation, the dependence in people's Memory Process for sequence and continuity are made full use of, the brain of people is assisted to receive more word amounts.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of dictionary sequence processing method, device, electronics
Facility for study and computer readable storage medium.
Background technology
With the progress of the communication technology, information explosion increases, and changes people's lives mode of learning.With linguistics
For habit, the language that people can contact is more and more, and one language of to master must learn the word of the language first, and current
Any dictionary, sort method is mainly in alphabetical order come sorting so that it is convenient to inquire and retrieve.But it is inconvenient
Learner's learning and memory.
Increase along with information explosion, needs the category of language learnt more and more.The ability that people receives information content is bright
It is aobvious to weaken.Therefore, convenient to learn in face of the word of vast number there is an urgent need for a kind of method of auxiliary people's Fast Learning word
Learner quickly receives a large amount of information content.
Invention content
A kind of dictionary sequence processing method of offer of the embodiment of the present invention, device and e-learning equipment, to improve above-mentioned ask
Topic.
To achieve the goals above, technical solution used in the embodiment of the present invention is as follows：
The embodiment of the present invention provides a kind of dictionary sequence processing method, is applied to e-learning equipment, the method includes：
It obtains and selectes the corresponding multiple words of dictionary, wherein the word includes at least one character nodes；By the first character nodes phase
The same word is put into corresponding same ordered set；The of the word in each ordered set is counted respectively
First quantity of the classification of two character nodes；According to corresponding first quantity of each ordered set, according to from small
To big sequence, the ordered set is arranged；According to the second character section of the word in each ordered set
The classification of point, is divided into multiple sort subsets by the ordered set respectively, wherein each sort subset includes at least one
A word, the corresponding second character nodes of word in the same sort subset are identical；Successively to each described
The corresponding sort subset of ordered set is ranked up, to obtain ranking results；According to the ranking results and the choosing
Determine the corresponding multiple words of dictionary, according to pre-defined rule, generate thinking cloud atlas, so that the e-learning equipment is shown.
The embodiment of the present invention provides a kind of dictionary sequence processing unit, is applied to e-learning equipment, described device includes：
Acquisition module, for obtaining the corresponding multiple words of selected dictionary, wherein the word includes at least one character nodes；It draws
Sub-module, for the identical word of the first character nodes to be put into corresponding same ordered set；Statistical module is used for
The first quantity of the classification of the second character nodes of the word in each ordered set is counted respectively；Arrange mould
Block, for being collected to the sequence according to sequence from small to large according to each corresponding first quantity of the ordered set
Close arrangement；The division module is additionally operable to the second character nodes of the word in each ordered set of basis
The ordered set is divided into multiple sort subsets by classification respectively, wherein each sort subset includes at least one institute
Word is stated, the corresponding second character nodes of word in the same sort subset are identical；The arrangement module, is additionally operable to
The corresponding sort subset of each ordered set is ranked up successively, to obtain ranking results；Generation module is used
According to the ranking results and the corresponding multiple words of the selected dictionary, according to pre-defined rule, thinking cloud atlas is generated, so as to
The e-learning equipment displaying.
The embodiment of the present invention provides a kind of e-learning equipment, and the e-learning equipment includes：Memory；Processor；
And dictionary sequence processing unit, described device include：Acquisition module, for obtaining the corresponding multiple words of selected dictionary,
In, the word includes at least one character nodes；Division module, for the identical word of the first character nodes to be put into
In corresponding same ordered set；Statistical module, second for counting the word in each ordered set respectively
First quantity of the classification of position character nodes；Module is arranged, for being counted according to each ordered set corresponding described first
Amount arranges the ordered set according to sequence from small to large；The division module is additionally operable to according to each sequence
The classification of the second character nodes of the word in set, is divided into multiple sort subsets by the ordered set respectively,
Wherein, each sort subset includes at least one word, the word in the same sort subset corresponding the
Two character nodes are identical；The arrangement module is additionally operable to successively to the corresponding sort subset of each ordered set
It is ranked up, to obtain ranking results；Generation module, for corresponding more according to the ranking results and the selected dictionary
A word generates thinking cloud atlas according to pre-defined rule, so that the e-learning equipment is shown.
Compared with prior art, a kind of dictionary sequence processing method provided in an embodiment of the present invention is multiple by that will obtain
There is being put into same corresponding ordered set for identical the first character nodes, and each sequence collection of statistics respectively in word
First quantity of the classification of the second character nodes of the word in conjunction, then according to corresponding first number of each ordered set
Amount arranges the ordered set according to sequence from small to large, according to the of the word in each ordered set
The ordered set is divided into multiple sort subsets by the classification of two character nodes respectively, in the same sort subset
The corresponding second character nodes of word it is identical.The sort subset corresponding to each ordered set carries out successively again
Sequence, to obtain ranking results, according to the ranking results and the corresponding multiple words of the selected dictionary, according to pre- set pattern
Then, thinking cloud atlas is generated, so that the e-learning equipment is shown.It is, by the letter in existing dictionary according to quantity
Relationship is resequenced, and the dependence in people's Memory Process for sequence and continuity are made full use of, and the brain of people is assisted to receive more
More word amounts.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the block diagram for the e-learning equipment that present pre-ferred embodiments provide.
Fig. 2 is the step flow chart for the dictionary sequence processing method that present pre-ferred embodiments provide.
Fig. 3 is the schematic diagram for the dictionary sequence processing unit that present pre-ferred embodiments provide.
Fig. 4 is the function sub-modules schematic diagram of the arrangement module in Fig. 3.
Icon：100- e-learning equipment；111- memories；112- processors；113- communication units；200- dictionaries sort
Processing unit；201- acquisition modules；202- division modules；203- statistical modules；204- arranges module；2041- statistic submodules；
2042- arranges submodule；205- generation modules.
Specific implementation mode
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
Fig. 1 is please referred to, Fig. 1 is the block diagram of e-learning equipment 100.E-learning equipment 100 can be study
Mechanical, electrical sub- dictionary etc..The e-learning equipment 100 includes dictionary sequence processing unit 200, memory 111, processor 112
And communication unit 113.
The memory 111, processor 112 and 113 each element of communication unit directly or indirectly electrically connect between each other
It connects, to realize the transmission or interaction of data.For example, these elements can pass through one or more communication bus or signal between each other
Line, which is realized, to be electrically connected.Dictionary sequence processing unit 200 include it is at least one can be with software or firmware (Firmware)
Form is stored in the memory 111 or is solidificated in the operating system (Operating of the e-learning equipment 100
System, OS) in software function module.The processor 112 is for executing the executable mould stored in the memory 111
Block, such as the software function module included by dictionary sequence processing unit 200 and computer program etc..
Wherein, the memory 111 may be, but not limited to, (the Random Access of random access memory 111
Memory, RAM), read-only memory 111 (Read Only Memory, ROM), programmable read only memory 111
(Programmable Read-Only Memory, PROM), 111 (Erasable of erasable read-only memory
Programmable Read-Only Memory, EPROM), (the Electric Erasable of electricallyerasable ROM (EEROM) 111
Programmable Read-Only Memory, EEPROM) etc..Wherein, memory 111 is deposited for storing program or data
Reservoir 111 is additionally operable to store the corresponding dictionary of at least one languages, which can be understood as the corresponding multiple lists of such languages
Word forms.For example, it may include a large amount of English word that English is corresponding.
The communication unit 113 is used to establish the e-learning equipment 100 and other communication terminals by the network
Between communication connection, and for pass through the network transceiving data.
It should be understood that structure shown in FIG. 1 is only the structural schematic diagram of e-learning equipment 100, the electronics
It practises equipment 100 and may also include than shown in Fig. 1 more either less components or with the configuration different from shown in Fig. 1.Figure
Hardware, software, or its combination realization may be used in each component shown in 1.
First embodiment
Fig. 2 is please referred to, is a kind of dictionary sequence processing method that present pre-ferred embodiments provide.At above-mentioned dictionary sequence
Reason method may comprise steps of：
Step S101 is obtained and is selected the corresponding multiple words of dictionary.
In embodiments of the present invention, it is chosen in multiple dictionaries that response user's operation is stored out of e-learning equipment 100
One selected dictionary.It is corresponded to for example, e-learning equipment 100 can store the corresponding dictionary of English, the corresponding dictionary of French, Japanese
Dictionary, user can select the corresponding dictionary of English as selected dictionary.Selected dictionary corresponds to multiple words, and word includes
At least one character nodes.Such as word bag includes three character nodes, is b, a and g respectively.For convenience of explanation, in this hair
With the corresponding dictionary of English be that selected dictionary is described in bright embodiment, it is possible to understand that be not limited to be only applicable to English
The corresponding dictionary of language.
The identical word of the first character nodes is put into same ordered set by step S102.
In embodiments of the present invention, the corresponding all words of selected dictionary are classified according to the first character nodes.Tool
Body, the word with identical the first character nodes is included into same ordered set.For example, selected dictionary include bay,
Baffle, baffle, better, bitch, bit, can, clear, change, cap, crayon, why, what, where, then
Bay, baffle, baffle, better, bitch, bit are put into ordered set 1, by can, clear, change, cap,
Crayon is put into ordered set 2, and why, what, where, when are put into ordered set 3.
Step S103 counts the classification of the second character nodes of the word in each ordered set respectively
First quantity.
In embodiments of the present invention, identical second character nodes be can be regarded as into a classification, counts each ordered set
The number of species of the different second character nodes occurred in interior word.Example is connected, in ordered set 1 corresponding in word
The classification of two character nodes respectively includes a, e, i three classes, it is, 1 corresponding first quantity of ordered set is 3；Sequence collection
The classification for closing corresponding second character nodes in word in 2 respectively includes tetra- class of a, l, h, r, it is, ordered set 2 corresponds to
The first quantity be 4；The classification of corresponding second character nodes respectively includes h one kind in word in ordered set 3, also
It is that 3 corresponding first quantity of ordered set is 1.
Step S104, according to corresponding first quantity of each ordered set, according to sequence from small to large, to ordered set
Arrangement.
In embodiments of the present invention, in the direction indicated, according to the magnitude relationship between the first quantity of ordered set into
Row sequence.Specifically, the big ordered set of corresponding first quantity is arranged in after the small ordered set of corresponding first quantity.
Connect example, the sequences of three arrangement set be { why, what, where, when } bay, baffle, baffle, better,
bitch、bit}{can、clear、change、cap、crayon}。
Step S105, according to the classification of the second character nodes of the word in each ordered set, respectively
The ordered set is divided into multiple sort subsets.
In embodiments of the present invention, each ordered set can be divided simultaneously, it can also be according to ordered set
It puts in order and successively divides, each sort subset includes at least one word, the word in the same sort subset corresponding the
Two character nodes are identical.Example is connected, arrangement set 3 can be divided into arrangement subset 1 [why, what, where, when]；
Arrangement set 1 is divided into sort subset 1 [bay, baffle, baffle], sort subset 2 [better], sort subset 3
[bitch,bit]；Arrangement set 3 is divided into sort subset 1 [can, cap], sort subset 2 [clear], sort subset 3
[change], sort subset 4 [crayon].
Step S106 is successively ranked up the corresponding sort subset of each ordered set.
In embodiments of the present invention, the third position character section of the word in each sort subset is first counted respectively
Second quantity of the classification of point.According to corresponding second quantity of each sort subset, according to sequence from small to large,
The sort subset is arranged, to obtain ranking results.It should be noted that the arrangement subset only to belonging to same ordered set
Between be ranked up.Connecting example, the 1 third position character nodes of arrangement subset of arrangement set 1 are respectively y, f, i.e., and corresponding second
Quantity is 2；The 2 third position character nodes of arrangement subset of arrangement set 1 are t, i.e., corresponding second quantity is 1；Arrangement set 1
Arrangement 3 third position character nodes of subset are t, i.e., corresponding second quantity is 1.1 corresponding arrangement subset of arrangement set is carried out
Be after arrangement [better] [bitch, bit] [bay, baffle, baffle], therefore, to after all arrangement set sequences its
Sequence is { [why, what, where, when] } { [better] [bitch, bit] [bay, baffle, baffle] } { [clear]
[change][crayon][can、cap]}。
Further, in embodiments of the present invention, the method further includes：Each sort subset is divided into successively
Multiple displaying set, wherein each displaying set includes at least one word, in the same displaying set
The corresponding third position character nodes of word are identical.Connect example, can will arrangement set 3 arrangement subset 1 be divided into (why),
(what), (where, when) three displaying set.The displaying set corresponding to each sort subset carries out successively
Sequence, to obtain the ranking results.Specifically, the third of the corresponding word in each displaying set is first obtained
Quantity gathers the corresponding third quantity, according to sequence from small to large, successively to each described according to each displaying
The corresponding displaying set arrangement of sort subset.
Further, in embodiments of the present invention, the method further includes：Each displaying set is corresponding described
Third quantity is compared with the pre-selected threshold.It, will be corresponding described if the third quantity is more than the pre-selected threshold
Displaying set is split as at least one displaying subclass, wherein does not have the word of the 4th character nodes as an institute
Displaying subclass is stated, the 4th character nodes for each of splitting out the word in other described displaying subclass are identical.
Above-mentioned pre-selected threshold is selected by user.Preferably, pre-selected threshold 5, naturally it is also possible to be 6,7 or 8.It repeats to each split
The corresponding displaying subclass of the displaying set divided is ranked up, by word described in each displaying subclass
Third quantity is compared with the pre-selected threshold.If the third quantity is more than the pre-selected threshold, repeat to split correspondence
The displaying subset ordering by merging, until split after the corresponding word number of each set be no more than the preselected threshold
Value, to obtain final ranking results.
Step S107 is raw according to pre-defined rule according to the ranking results and the corresponding multiple words of the selected dictionary
At thinking cloud atlas, so that the e-learning equipment 100 is shown.
In embodiments of the present invention, putting in order according to the ordered set, each ordered set is corresponding
The first place character nodes are arranged as first order root, and along assigned direction, by the sequence of each of the ordered set
The first order root corresponding first order tree of the corresponding second character nodes of subset as the ordered set, according to every
The sort subset in a ordered set puts in order, and the corresponding first order tree of each described first order root is pressed
It is arranged according to the assigned direction.By each first order tree as second level root, by the corresponding each institute of the second level root
The third position character nodes of displaying set are stated as the corresponding second level tree of the second level root, according to each sequence
The displaying set in collection puts in order, by the corresponding second level tree of each described second level root according to the finger
Determine direction arrangement.The second level tree the corresponding each displaying of the third level root will each be collected as third level root
The third quantity closed is as the corresponding third level tree of the third level root.It, will be right using the third level tree as fourth stage root
The third quantity answered is no more than described in the displaying set corresponding to the fourth stage root of the pre-selected threshold
The corresponding third quantity is more than the fourth stage of the pre-selected threshold by fourth stage tree of the word as the fourth stage root
The fourth stage tree of the corresponding displaying subclass as the fourth stage root is gathered in the corresponding displaying of root, and according to this
It shows putting in order for the displaying subclass in set, which is arranged according to the assigned direction.
Further, in the embodiment of the present invention, the method further includes：It will be adjacent and corresponding on the assigned direction
The fourth stage tree of the identical multiple fourth stage roots of the third quantity pushes node as a study.Described in one
Fourth stage root on the assigned direction there is no other identical described fourth stage roots of the adjacent and corresponding third quantity,
Then using the fourth stage tree of the fourth stage root as a study push node, response user's operation successively pushes away the study
Node is sent to be shown.
The present invention rearranges sequence by being carried out according to quantitative relation of the letter configuration in each character nodes.Mesh
Be innovation displaying dictionary structure easy to remember.According to dictionary in alphabetical order, how much innovation comes according to node number of letters
Rearrange sequence, when vocabulary is enough, just will appear miracle, that is, quantitative relation occurs 0,1,3,4 ...
Quantitative relation continuous in this way is convenient for learning and memory.Specific demonstration is as follows：
Rearranging sequence to the word of b beginnings is：
b{a e i o u y l r}
ba{y1 f2m2 z3 i4 b5 g6 d7 k8 l10 t11 c12 s14 n16 r29}
This sort method is the number of the subordinate relation according to a upper character nodes Yu character late node to weigh
Newly vocabulary is ranked up.In order to more preferably sort, we introduce 0 alphabetical concept,.Such as：Two word ranks of bat, bat
When, it is 02 quantity that we, which are considered as bat, does not have any letter behind character nodes t, and 01 is an independent word
Tail portion mark, 02 be two same words tail portion mark, represent behind two words all without letter, please refer to table
1：
Table 1：
It should be noted that dictionary of the dictionary in the prior art basically according to lexicographic order natural ordering, carries out weight
Newly how much resequence according to alphabetical position occurrence number.Such as in English dictionary, the vocabulary of a letters is all with head
Letter for a the alphabetical word combination formed to natural ordering of coming together, the vocabulary of b letters is all with initial for b
The word combination that is formed of letter to natural ordering of coming together, analogize by letter later c.And institute provided in an embodiment of the present invention
It is that the letter in existing dictionary is resequenced according to quantitative relation to facilitate user's Fast Learning to state method then.With 10,000 English
For the b letters of dictionary, every the first letter is b letters, we have found second word by after all combinations of second letter
Mother only has { a, e, i, o, u, y, l, r } 8 kinds of monograms, proceeds to third position monogram, it has been found that the subsequent letters of ba
It is combined as：{ b5 c12 d7 f2 g6 i4 k8 l10 m2 n16 r29 s14 t11 y1 z3 }, if according to quantity pass
After system's rearrangement, it is found that dictionary configuration just simplifies very much, convenient for memory.After rearrangement, the subsequent alphabetical groups of ba
It is combined into：{y1 f2m2 z3 i4 b5 g6 d7 k8 l10 t11 c12 s14 n16 r29}.It should be noted that above-mentioned y1
Represent the word that ba is followed by y and only have 1, f2m2, which represents the word that ba is followed by f, 2, be followed by the word of m also there are two, by ba
It is followed by f and is followed by the word of m as same study push node.The thinking cloud atlas accordingly generated.Specifically, 12 kinds of symbols are based on
Number："-", " │ ", " ├ ", " ┤ ", " ┬ ", " ┴ ", " ┼ ", " ┌ ", " ┐ ", " └ ", " ┘ " and " 0 " conceives a 5-8 word
Female primary vocabulary of non-word-building and suffix structures library, according to number of nodes sequence as a result, we can pass through algorithm weight
Newly draw a set of dictionary configuration dynamic collection of illustrative plates.There is identical letter, first character to method in the first letter of every context as follows
Female leading symbol position is " ┌ ".There is letter in every a certain position of context, just uses "-" symbol as the guiding of node letter.It is all
It is based on context, as soon as the letter of a certain position node of next word is identical as a certain position node of upper word, to be represented with " │ ", it is all
As soon as a certain position number of letters for being based on context word is, introduction " 0 " identifies, a certain position of every based on context word
As soon as number of letters guides this letter before this letter guiding of first word more than using " ┬ ".And hereafter under
" ├ " is used in one word and hereafter next word has alphabetical presence in this node letter again, the then guiding before this node letter
Symbology.If hereafter next word is the last letter, i.e., hereafter next word is differed in this node letter again,
This uses " └ " before this node letter of next word below, and the leading symbol of every equidistant word of context uses
"┤".When illustrating structure, there is letter in rear position, then leading symbol uses " ┼ ", and remaining letter number is by comparing primary dictionary
After suffix dictionary, every whole interception character having is as node, and every no, just interception single letter is as node mark
To know, symbol " ┐ " is led behind the first place that structure illustrates, symbol is led after intermediate and uses " │ ", centre illustrates that symbol uses " ├ " symbol, if
It is leading to have letter, then " ┼ " symbol is used, symbol is led behind last position and uses " ┘ ".Part can be as follows：
┌b─a┰y─01
│├f─02─f┬le
││└ler
│├m─02┬01
││└boo
│├z─03┬ar
││├aar
││└oo─ka
│├i─04┬l┬01
│││├ee
│││└or
││└t
│├b─05┬oon
││└y─03┬01
││├hood
││└sit┬01
││└t─er
│├g─06┬01
││├ful
││├u─ette
││├s
││└g─02┬age
││└y
Second embodiment
Fig. 3 is please referred to, is the dictionary sequence processing unit 200 that present pre-ferred embodiments provide, dictionary sequence processing dress
Setting 200 includes：Acquisition module 201, division module 202, statistical module 203, arrangement module 204 and generation module 205.
Acquisition module 201, for obtaining the corresponding multiple words of selected dictionary, wherein the word includes at least one
Character nodes.
Division module 202, for the identical word of the first character nodes to be put into corresponding same ordered set.
Statistical module 203, the second character nodes for counting the word in each ordered set respectively
Classification the first quantity.
Module 204 is arranged, for according to corresponding first quantity of each ordered set, according to from small to large
Sequentially, the ordered set is arranged.
The division module 202 is additionally operable to the second character section according to the word in each ordered set
The classification of point, is divided into multiple sort subsets by the ordered set respectively, wherein each sort subset includes at least one
A word, the corresponding second character nodes of word in the same sort subset are identical.
The arrangement module 204 is additionally operable to successively arrange the corresponding sort subset of each ordered set
Sequence, to obtain ranking results.
Preferably, as shown in figure 4, above-mentioned arrangement module 204 may include statistic submodule 2041 and arrangement submodule
2042：
Statistic submodule 2041, the third position character section for counting the word in each sort subset respectively
Second quantity of the classification of point；
Arrange submodule 2042, for according to corresponding second quantity of each sort subset, according to from it is small to
Big sequence arranges the sort subset.
Generation module 205 is used for according to the ranking results and the corresponding multiple words of the selected dictionary, according to predetermined
Rule generates thinking cloud atlas, so that the e-learning equipment 100 is shown.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
Specific work process, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In conclusion a kind of dictionary sequence processing method, device and e-learning equipment provided in an embodiment of the present invention.Its
In, dictionary sequence processing method includes：It obtains and selectes the corresponding multiple words of dictionary, wherein the word includes at least one
Character nodes；The identical word of the first character nodes is put into corresponding same ordered set；Each institute is counted respectively
State the first quantity of the classification of the second character nodes of the word in ordered set；According to each ordered set pair
First quantity answered arranges the ordered set according to sequence from small to large；According in each ordered set
The word second character nodes classification, the ordered set is divided into multiple sort subsets respectively, wherein every
A sort subset includes at least one word, the corresponding second character of word in the same sort subset
Node is identical；The corresponding sort subset of each ordered set is ranked up successively, to obtain ranking results；Root
Thinking cloud atlas is generated, according to pre-defined rule so as to described according to the ranking results and the corresponding multiple words of the selected dictionary
E-learning equipment is shown.It is, the letter in existing dictionary is resequenced according to quantitative relation, people are made full use of
For the dependence of sequence and continuity in Memory Process, the brain of people is assisted to receive more word amounts.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, the flow chart in attached drawing and block diagram
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part for the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that at some as in the realization method replaced, the function of being marked in box can also be to be different from
The sequence marked in attached drawing occurs.For example, two continuous boxes can essentially be basically executed in parallel, they are sometimes
It can execute in the opposite order, this is depended on the functions involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use function or the dedicated base of action as defined in executing
It realizes, or can be realized using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each function module in each embodiment of the present invention can integrate to form an independent portion
Point, can also be modules individualism, can also two or more modules be integrated to form an independent part.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic disc or CD.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should be noted that：Similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and is explained.
Claims (10)
- The processing method 1. a kind of dictionary sorts, is applied to e-learning equipment, which is characterized in that the method includes：It obtains and selectes the corresponding multiple words of dictionary, wherein the word includes at least one character nodes；The identical word of the first character nodes is put into corresponding same ordered set；The first quantity of the classification of the second character nodes of the word in each ordered set is counted respectively；According to corresponding first quantity of each ordered set, according to sequence from small to large, to the ordered set Arrangement；According to the classification of the second character nodes of the word in each ordered set, respectively by the ordered set It is divided into multiple sort subsets, wherein each sort subset includes at least one word, same sequence The corresponding second character nodes of word in collection are identical；The corresponding sort subset of each ordered set is ranked up successively, to obtain ranking results；Thinking cloud atlas is generated according to pre-defined rule according to the ranking results and the corresponding multiple words of the selected dictionary, with Toilet states the displaying of e-learning equipment.
- 2. method as described in claim 1, which is characterized in that described successively to the corresponding sequence of each ordered set The step of subset is ranked up include：The second quantity of the classification of the third position character nodes of the word in each sort subset is counted respectively；According to corresponding second quantity of each sort subset, according to sequence from small to large, to the sort subset Arrangement.
- 3. method as claimed in claim 2, which is characterized in that after arranging the sort subset, the method further includes：Each sort subset is divided into multiple displayings successively to gather, wherein each displaying set includes at least one A word, it is same it is described displaying set in the corresponding third position character nodes of word it is identical；The displaying set corresponding to each sort subset is ranked up successively, to obtain the ranking results.
- 4. method as claimed in claim 3, which is characterized in that the displaying corresponding to each sort subset is gathered successively The step of being ranked up include：Obtain the third quantity of the corresponding word in each displaying set；Gather the corresponding third quantity according to each displaying, according to sequence from small to large, successively to each described The corresponding displaying set arrangement of sort subset.
- 5. method as claimed in claim 4, which is characterized in that the method further includes：The corresponding third quantity is gathered in each displaying to be compared with pre-selected threshold；If the third quantity is more than the pre-selected threshold, the corresponding displaying set is split as at least one displaying Set, wherein do not have the word of the 4th character nodes as a displaying subclass, each of split out described in other Show that the 4th character nodes of the word in subclass are identical；Repetition is ranked up the corresponding displaying subclass of each displaying set being split；The third quantity of word described in each displaying subclass is compared with the pre-selected threshold；If the third quantity is more than the pre-selected threshold, repeat to split the corresponding displaying subset ordering by merging, until The corresponding word number of each set after fractionation is no more than the pre-selected threshold, to obtain the ranking results.
- 6. method as claimed in claim 5, which is characterized in that described corresponding according to the ranking results and the selected dictionary Multiple words, according to pre-defined rule, the step of generating thinking cloud atlas, includes：According to putting in order for the ordered set, will the corresponding the first character nodes of each ordered set as the Level-one root, and arranged along assigned direction；Using the corresponding second character nodes of each of the ordered set sort subset as the ordered set The corresponding first order tree of the first order root；It is according to putting in order for the sort subset in each ordered set, each described first order root is corresponding The first order tree arranges according to the assigned direction；By each first order tree as second level root；Using the third position character nodes of the corresponding each displaying set of the second level root as the second level root pair The second level tree answered；It is according to putting in order for the displaying set in each sort subset, each described second level root is corresponding The second level tree arranges according to the assigned direction；By each second level tree as third level root；Using the third quantity of the corresponding each displaying set of the third level root as the third level root corresponding the Three-level tree；Using the third level tree as fourth stage root；The corresponding third quantity is no more than the displaying set corresponding to the fourth stage root of the pre-selected threshold Fourth stage tree of the interior word as the fourth stage root；It is more than the corresponding displaying set correspondence of the fourth stage root of the pre-selected threshold by the corresponding third quantity The fourth stage tree of the displaying subclass as the fourth stage root, and according to the displaying subset in the displaying set That closes puts in order, and is arranged according to the assigned direction the fourth stage tree.
- 7. method as claimed in claim 6, which is characterized in that the method further includes：By described the of the identical multiple fourth stage roots of adjacent on the assigned direction and corresponding third quantity Level Four tree pushes node as a study；By a fourth stage root on the assigned direction there is no the adjacent and corresponding third quantity it is identical other The fourth stage root, then using the fourth stage tree of the fourth stage root as a study push node；Response user's operation is successively shown study push node.
- The processing unit 8. a kind of dictionary sorts, is applied to e-learning equipment, which is characterized in that described device includes：Acquisition module, for obtaining the corresponding multiple words of selected dictionary, wherein the word includes at least one character section Point；Division module, for the identical word of the first character nodes to be put into corresponding same ordered set；Statistical module, the classification of the second character nodes for counting the word in each ordered set respectively First quantity；Module is arranged, is used for according to each corresponding first quantity of the ordered set, it is right according to sequence from small to large The ordered set arrangement；The division module is additionally operable to the class of the second character nodes according to the word in each ordered set Not, the ordered set is divided into multiple sort subsets respectively, wherein each sort subset includes at least one described Word, the corresponding second character nodes of word in the same sort subset are identical；The arrangement module is additionally operable to successively be ranked up the corresponding sort subset of each ordered set, so as to Obtain ranking results；Generation module is used for according to the ranking results and the corresponding multiple words of the selected dictionary, raw according to pre-defined rule At thinking cloud atlas, so that the e-learning equipment is shown.
- 9. device as claimed in claim 8, which is characterized in that the arrangement module includes：Statistic submodule, the classification of the third position character nodes for counting the word in each sort subset respectively The second quantity；Submodule is arranged, for according to corresponding second quantity of each sort subset, according to sequence from small to large, The sort subset is arranged.
- 10. a kind of e-learning equipment, which is characterized in that the e-learning equipment includes：Memory；Processor；And dictionary sequence processing unit, described device include：Acquisition module, for obtaining the corresponding multiple words of selected dictionary, wherein the word includes at least one character section Point；Division module, for the identical word of the first character nodes to be put into corresponding same ordered set；Statistical module, the classification of the second character nodes for counting the word in each ordered set respectively First quantity；Module is arranged, is used for according to each corresponding first quantity of the ordered set, it is right according to sequence from small to large The ordered set arrangement；The division module is additionally operable to the class of the second character nodes according to the word in each ordered set Not, the ordered set is divided into multiple sort subsets respectively, wherein each sort subset includes at least one described Word, the corresponding second character nodes of word in the same sort subset are identical；The arrangement module is additionally operable to successively be ranked up the corresponding sort subset of each ordered set, so as to Obtain ranking results；Generation module is used for according to the ranking results and the corresponding multiple words of the selected dictionary, raw according to pre-defined rule At thinking cloud atlas, so that the e-learning equipment is shown.
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