CN109085932A - A kind of candidate entry method of adjustment, device, equipment and readable storage medium storing program for executing - Google Patents
A kind of candidate entry method of adjustment, device, equipment and readable storage medium storing program for executing Download PDFInfo
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- CN109085932A CN109085932A CN201810940932.2A CN201810940932A CN109085932A CN 109085932 A CN109085932 A CN 109085932A CN 201810940932 A CN201810940932 A CN 201810940932A CN 109085932 A CN109085932 A CN 109085932A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0236—Character input methods using selection techniques to select from displayed items
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Abstract
This application discloses a kind of candidate entry method of adjustment, device, equipment and readable storage medium storing program for executing, it receives and request is chosen to target candidate entry in the candidate entry of displaying, further obtain and show the split result of target candidate entry, respond the correctness sort operation to the split result of displaying, determine the word for being classified as correct word in target candidate entry and being classified as mistake, it further obtains and shows in input coding information, the re-decoding result of coding segment corresponding with the word for being classified as mistake.According to application scheme, by being split to target candidate entry, wherein correct word is searched again without user, and the application re-decodes the corresponding coding segment of word of mistake, user only needs to select correct entry from the re-decoding result, it greatly reduces user and searches the time, improve input efficiency.
Description
Technical field
This application involves input method technique fields, more specifically to a kind of candidate entry method of adjustment, device, set
Standby and readable storage medium storing program for executing.
Background technique
With the rapid development and application for setting about intelligent terminal, input method software becomes chat, Webpage search in intelligent terminal
Etc. one of the essential software of processes.Interactive entrance of the input method as people and electronic equipment, the spies such as naturally convenient, efficient
Point is always what user was pursued.
Existing input method, receive user input encoded information after, can decode and show full matching candidate entry and
Half matching candidate entry.When all full matching candidate entries all it is expected without hit user, user needs by searching for and selects
Fixed multiple half matching candidate entries, form expected result.Referring to Fig. 1 a-1d, illustrates existing input method candidate entry and search
Process.By taking T9 keyboard input Pinyin string " ceshijiguimo " as an example, user it is expected to obtain " test set scale ".It can referring to Fig. 1 a
Know, the candidate entry that input method provides fails to hit user's expectation.User needs successively to search for and choose half matching result: surveying
Examination -> collection -> scale, is spliced into desired result.Wherein, each half matching result requires user's lookup, is looked into (3) step
For when looking for " collection " word, needs successively to filter out the entry of front tens, desired " collection " word can be found in page 4, is led
Cause entire input process efficiency extremely low.
It can be seen that existing input method needs user in the case where full matching candidate entry fails to hit the desired scene of user
Search half matching candidate entry one by one come the problem of being spliced into expected result, lead to entire input process inefficiency.
Summary of the invention
In view of this, being used this application provides a kind of candidate entry method of adjustment, device, equipment and readable storage medium storing program for executing
In solving the problems, such as that existing input method input efficiency is low.
To achieve the goals above, it is proposed that scheme it is as follows:
A kind of candidate entry method of adjustment, comprising:
It receives in the candidate entry corresponding with input coding information of displaying, target candidate entry chooses request；
Obtain and show that the split result of the target candidate entry, the split result contain at least two word string, often
One word string includes at least one word；
The correctness sort operation to the split result of displaying is responded, determines and is classified as in the target candidate entry correctly
Word and be classified as mistake word；
It obtains and shows in the input coding information, the solution again of coding segment corresponding with the word for being classified as mistake
Code result.
Preferably, the process of the split result of the target candidate entry is obtained, comprising:
Obtain all possible word string for forming the target candidate entry；
Dictionary is inquired for each possible word string, the possible word string that will be present in the dictionary is determined as the mesh
Mark the split result of candidate entry.
Preferably, the process of the split result of the target candidate entry is obtained, further includes:
Obtain the word frequency and mutual information of each possible word string；
Word frequency is deleted lower than setting word frequency threshold or mutual information lower than the possible word string of setting mutual information threshold value.
Preferably, the process of the split result of the target candidate entry is obtained, further includes:
According to the first ranking criteria and the second ranking criteria, determine that the sequence of the split result of the target candidate entry is suitable
Sequence, first ranking criteria include sequencing of the word string initial in target candidate entry and word string collating sequence one
It causes；Second ranking criteria includes the identical word string in position of the initial in target candidate entry, includes word according to word string
Quantity sorts to word string by up to few sequence；
Then, the process of the split result of the target candidate entry is shown, comprising:
Show the split result to sort according to determining collating sequence.
Preferably, the response determines the target candidate entry to the correctness sort operation of the split result of displaying
In be classified as correct word and be classified as mistake word, comprising:
The first edit operation to first object word string in the split result of displaying is responded, first edit operation indicates
Choose the word of mistake；
According to the first object word string, the word that mistake is classified as in the target candidate entry is determined；
It, will be in the target candidate entry after determination has executed the first whole edit operations to the split result
Word in addition to the word of the mistake is determined as being classified as correct word.
Preferably, the response determines the target candidate entry to the correctness sort operation of the split result of displaying
In be classified as correct word and be classified as mistake word, comprising:
The second edit operation to the second target word string in the split result of displaying is responded, second edit operation indicates
Choose correct word；
According to the second target word string, determines in the target candidate entry and be classified as correct word；
It, will be in the target candidate entry after determination has executed the second whole edit operations to the split result
Word in addition to the correct word is determined as being classified as the word of mistake.
Preferably, further includes:
By in the split result of displaying, the second target word string and other word strings comprising the word in the second target word string are hidden
Hiding.
Preferably, further includes:
Determine that object executes the sequence of the second edit operation；
The sequence that the second edit operation is executed according to the object is responding the second edit operation to the second target word string
When, the second target word string described in the split result and the word string before the second target word string are hidden.
Preferably, it obtains in the input coding information, the weight of coding segment corresponding with the word for being classified as mistake
Decoding result, comprising:
Be classified as correct word according in the target candidate entry, to be classified as in the input coding information mistake
The corresponding coding segment of word is decoded again, obtains several re-decoding candidate entries comprising matching probability；
At least according to matching probability from large to small sequence, each re-decoding candidate entry is ranked up.
Preferably, it is described at least according to matching probability from large to small sequence, each re-decoding candidate entry is arranged
Sequence, comprising:
According to matching probability from large to small sequence, and to include it is described be classified as mistake word re-decoding candidate entry
It is ranked up punishment, each re-decoding candidate entry is ranked up.
A kind of candidate entry adjustment device, comprising:
Request reception unit is chosen, for receiving in the candidate entry corresponding with input coding information to displaying, target
Candidate entry chooses request；
Split result acquiring unit, for the split result of the target candidate entry, the split result includes at least
Two word strings, each word string include at least one word；
Split result display unit, for showing the split result of the target candidate entry；
Word taxon determines the target candidate for responding the correctness sort operation to the split result of displaying
It is classified as correct word in entry and is classified as the word of mistake；
Result acquiring unit is re-decoded, for obtaining in the input coding information, with the word pair for being classified as mistake
The re-decoding result for the coding segment answered；
Result display unit is re-decoded, for showing the re-decoding result.
Preferably, the split result acquiring unit includes:
Possible word string acquiring unit, for obtaining all possible word string for forming the target candidate entry；
Dictionary enquiry unit will be present in the possibility in the dictionary for inquiring dictionary for each possible word string
Word string be determined as the split result of the target candidate entry.
Preferably, the split result acquiring unit further include:
Word frequency and mutual information acquiring unit, for obtaining the word frequency and mutual information of each possible word string；
Word string deletes unit, for word frequency to be lower than setting mutual information threshold value lower than setting word frequency threshold or mutual information
Possible word string is deleted.
Preferably, the split result acquiring unit further include:
Split result sequencing unit, for determining the target candidate according to the first ranking criteria and the second ranking criteria
The collating sequence of the split result of entry, first ranking criteria include that word string initial is successive in target candidate entry
Sequence is consistent with word string collating sequence；Second ranking criteria includes that position of the initial in target candidate entry is identical
Word string includes word quantity by up to few sequentially to word string sequence according to word string；
Then the split result display unit is specifically used for, and shows the fractionation knot to sort according to determining collating sequence
Fruit.
Preferably, institute's predicate taxon includes:
First edit operation response unit, for responding the first editor of first object word string in the split result to displaying
Operation, first edit operation indicate to choose the word of mistake；
First erroneous words determination unit is divided for according to the first object word string, determining in the target candidate entry
Class is the word of mistake；
First correct word determination unit, for determine to the split result executed the first whole edit operations it
Afterwards, by the word in the target candidate entry in addition to the word of the mistake, it is determined as being classified as correct word.
Preferably, institute's predicate taxon includes:
Second edit operation response unit, for responding the second editor of the second target word string in the split result to displaying
Correct word is chosen in operation, the second edit operation expression；
Second correct word determination unit is divided for according to the second target word string, determining in the target candidate entry
Class is correct word；
Second erroneous words determination unit, for determine to the split result executed the second whole edit operations it
Afterwards, by the word in the target candidate entry in addition to the correct word, it is determined as being classified as the word of mistake.
Preferably, further includes:
First word string hidden unit in the split result for that will show, the second target word string and includes the second target word
Other word strings of word in string are hidden.
Preferably, further includes:
Order determination unit is executed, for determining that object executes the sequence of the second edit operation；
Second word string hidden unit, for executing the sequence of the second edit operation according to the object, in response to second
When the second edit operation of target word string, by the second target word string described in the split result and it is located at second target word
Word string before string is hidden.
Preferably, the re-decoding result acquiring unit, comprising:
Unit is re-decoded, for being classified as correct word according in the target candidate entry, the input coding is believed
The corresponding coding segment of word that mistake is classified as in breath is decoded again, is obtained several re-decodings comprising matching probability and is waited
Select entry；
Re-decode sequencing unit, at least according to matching probability from large to small sequence, to each re-decoding candidate word
Item is ranked up.
Preferably, the re-decoding sequencing unit includes:
Sequence punishment unit is re-decoded, for and being classified as to comprising described according to matching probability sequence from large to small
The re-decoding candidate entry of the word of mistake is ranked up punishment, is ranked up to each re-decoding candidate entry.
A kind of candidate entry adjustment equipment, including memory and processor；
The memory, for storing program；
The processor realizes each step of candidate entry method of adjustment as described above for executing described program.
A kind of readable storage medium storing program for executing is stored thereon with computer program, real when the computer program is executed by processor
Now each step of candidate entry method of adjustment as described above.
It can be seen from the above technical scheme that candidate entry method of adjustment provided by the embodiments of the present application can be adapted for
The desired scene of candidate entry miss user receives and chooses request to target candidate entry in the candidate entry of displaying, this
Target candidate entry can be the candidate entry closest to expected result of user's identification, further obtains and shows target candidate
The split result of entry, the split result contain at least two word string, and each word string includes at least one word, respond to displaying
The correctness sort operation of split result determines the word for being classified as correct word in target candidate entry and being classified as mistake, into
One step is obtained and is shown in input coding information, the re-decoding result of coding segment corresponding with the word for being classified as mistake.It is based on
Application scheme, user can determine correct word from target candidate entry, and further, user can be from the solution again of displaying
Correct entry is selected in code result, is determined as correct word and forms final expected result exporting with aforementioned.Obviously, according to this
Application scheme searches wherein correct word without user, and this Shen again by splitting to target candidate entry
Please the corresponding coding segment of word of mistake is re-decoded, user only needs to select correct word from the re-decoding result
Item greatly reduces user and searches the time, improves input efficiency.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 a-1d illustrates existing input method candidate entry and chooses process schematic；
Fig. 2 is a kind of candidate entry method of adjustment flow chart disclosed in the embodiment of the present application；
What Fig. 3 illustrated a kind of pair of target candidate entry chooses mode effect diagram；
Fig. 4 illustrates a kind of effect for choosing target candidate entry to show to target candidate entry split result from user and shows
It is intended to；
Fig. 5 illustrates a kind of re-decoding result of coding segment corresponding with the word for being classified as mistake in input coding information
Schematic diagram；
Fig. 6 illustrates a kind of user and executes the first edit operation to split result to choose the schematic diagram of erroneous words；
Fig. 7 illustrates showing interface effect diagram after a kind of the second edit operation of response user；
Fig. 8 is a kind of candidate entry adjustment apparatus structure schematic diagram disclosed in the embodiment of the present application；
Fig. 9 is a kind of hardware block diagram of candidate entry adjustment equipment disclosed in the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
The embodiment of the present application discloses a kind of candidate entry method of adjustment, can greatly reduce candidate entry miss user
Under desired scene, the input cost of user improves input efficiency.Next in conjunction with attached drawing 2, the application candidate entry is adjusted
Method is introduced, and includes: in detail
Step S100, the choosing of target candidate entry in the candidate entry corresponding with input coding information of displaying is received
Middle request.
Specifically, user's input method system after input coding information shows candidate corresponding with input coding information
Entry, the candidate entry are generally multiple.For the desired scene of candidate entry miss user, general, candidate entry
Possible part word is that user is desired in all words for including, the expectation of part word non-user.Based on this, user be can choose wherein
Comprising the most candidate entry of expectation word, as the object edited again.In the present embodiment, user is received to the candidate word of displaying
In item, target candidate entry chooses request.
Here, choose request initiation mode can there are many, such as click, voice it is specified.It is shown in Figure 3, show
A kind of pair of target candidate entry of example chooses mode.Assuming that the desired input of user is " test set scale ".Input coding
After information " ceshijiguimo ", the candidate entry that system provides is as shown in Figure 3.As it can be seen that candidate entry " test machine scale "
Closest to the desired output of user, therefore user can trigger " the test machine scale " of display this target candidate entry.
Step S110, acquisition and the split result of the target candidate entry is shown.
Wherein, the split result contains at least two word string, and each word string includes at least one word.It can be in this step
The split result to target candidate entry is obtained, and is shown.Fig. 4 illustrates one kind and chooses target candidate entry to target from user
The effect diagram that candidate entry split result is shown.
Step S120, the correctness sort operation to the split result of displaying is responded, is determined in the target candidate entry
It is classified as correct word and is classified as the word of mistake.
Specifically, it by showing the split result of target candidate entry to user, can determine in split result comprising portion
Divide the word of correct word and partial error.Here, correct word be target candidate entry include with user's desired output result
In identical word, the word of mistake be target candidate entry include with different word in user's desired output result.Still with Fig. 4
For exemplary split result, since user's desired output result is " test set scale ", " test " in split result,
" survey ", " examination ", " scale ", " rule ", " mould " are correct word, and " machine " is the word of mistake.
User can carry out correctness classification to split result by the correctness sort operation of diversified forms.Show for example,
Correct word, the remaining word as mistake can be chosen.Alternatively, the word of mistake is chosen, it is remaining to be used as correct word.
Step S130, it acquisition and shows in the input coding information, coding corresponding with the word for being classified as mistake
The re-decoding result of segment.
Specifically, aforementioned have determined that is classified as correct and wrong word in target candidate entry, for correct word
It can directly retain, for the word of mistake, determine its corresponding coding segment in input coding information, and obtain the coded slice
The re-decoding of section as a result, show the re-decoding as a result, therefrom selecting for user desired as a result, with aforementioned correct phrase in turn
It is exported at final result.
Referring to Fig. 5, illustrate in a kind of input coding information, the weight of coding segment corresponding with the word for being classified as mistake
Decoding result schematic diagram.Wherein, the word for being classified as mistake is " machine ", and corresponding coding segment is in input coding information
" ji " obtains the re-decoding result that the coding segment is " ji " and shows such as Fig. 5.User can therefrom be quickly found out expected result
" collection ", improves input efficiency.
According to scheme provided by the embodiments of the present application, by being split to target candidate entry, for wherein correct
Word is searched again without user, and the application re-decodes the corresponding coding segment of word of mistake, and user only needs
Correct entry is selected from the re-decoding result, user is greatly reduced and searches the time, improve input efficiency.
The embodiment of the present application to above-mentioned steps S110, said by the process for obtaining the split result of the target candidate entry
It is bright.
For the split process of target candidate entry, may exist a variety of fractionation modes, such as according to single word or phrase shape
Formula such as splits at the target candidate entry.In view of split result needs to guarantee to reduce user's operation cost, this implementation to the greatest extent
Example provides a kind of fractionation mode, as follows:
Firstly, obtaining all possible word string for forming the target candidate entry.
Specifically, it can be traversed backward since the first word of target candidate entry, using the word traversed as target word, from
Target word successively chooses 0-L word backward, forms possible word string by the word of the word and selection that traverse, L is target candidate word
It is located at the number of the word after target word in item.
By target candidate entry be " test machine scale " for, it is assumed that the target word currently traversed be " machine ", then by
" machine ", " machine rule ", " machine scale " form possible word string, and choose next word " rule " as target word, repeat the above process.
Further, dictionary is inquired for each possible word string, the possibility word string that will be present in the dictionary is determined as
The split result of the target candidate entry.
It is understood that in aforementioned obtained all possible word string, part word string may not grammaticalness specification,
It namely is not the word standardized or word string.In this step, by inquiring dictionary, the possibility word string that will be present in dictionary is determined as mesh
Mark the split result of candidate entry.
By taking above-mentioned " test machine scale " corresponding possible word string " machine scale " as an example, it is clear that it is not the word of a specification
The word string is not present in string in dictionary, therefore it can not be used as split result.
Finally, as shown in table 1 below to the split result of " test machine scale ".
Table 1
On the basis of the above, it is contemplated that the phase between certain words or the word that the use degree of word string is not high or word string includes
Stemness is not high, such word or word string can be filtered out.Specifically:
Obtain the word frequency and mutual information of each possible word string.Further, by word frequency lower than setting word frequency threshold or mutual trust
Breath is deleted lower than the possible word string of setting mutual information threshold value.
Wherein, word frequency reflects the frequency of use of entry, can be obtained according to preparatory statistics.
Mutual information can also be obtained according to preparatory statistics, and entry is mainly divided into x, two substrings of y, mutual trust by mutual information
The calculation of breath is as follows:
Wherein, P (x, y) is the Joint Distribution of entry x and y, and the limit distribution that P (x) is entry x, P (y) is the side of entry y
Border distribution.
Word string is filtered by using word frequency and mutual information, " test machine " in above-mentioned table 1 can be filtered out, then
The split result of " test machine scale " is as shown in table 2 below.
Table 2
It further, can be to the word that split result includes for the split result of target candidate entry obtained above
String is ranked up, and shows the split result after sequence.
Two ranking criterias, respectively the first ranking criteria and the second ranking criteria are provided in the present embodiment.Wherein,
One ranking criteria includes: that sequencing of the word string initial in target candidate entry is consistent with word string collating sequence.Second row
Sequence criterion includes: the identical word string in position of the initial in target candidate entry, includes word quantity by up to few according to word string
Sequence sorts to word string.
The split result of the target candidate entry is determined according to the first ranking criteria and the second ranking criteria based on this
Collating sequence.
By this sortord, more convenient user determines correct word therein and erroneous words, and then correctness is classified
It is more convenient to operate implementation process.
The split result of " test machine scale " exemplary for upper table 2, such as according to the result after the sequence of above-mentioned two principle
Shown in Fig. 4.
In another embodiment of the application, to above-mentioned steps S120, the correctness point to the split result of displaying is responded
Generic operation determines that the process for the word for being classified as correct word in the target candidate entry and being classified as mistake is introduced.
Specifically, the present embodiment can configure the first edit operation of user and indicate to choose the word of mistake, or configuration user
Correct word is chosen in second edit operation expression.Based on this, may exist two kinds of correctness sort operations, be next situated between respectively
It continues:
The first:
The first edit operation of S1, response to first object word string in the split result of displaying, first edit operation
It indicates to choose wrong word.
Wherein, the first edit operation can be the operation of the operating gestures such as click, double-click, in addition to this can also be that voice refers to
Enable form.
The corresponding operation object of first edit operation is first object word string.
S2, according to the first object word string, determine be classified as in the target candidate entry mistake word.
Specifically, if first object word string includes a word, the first object word that can include by target candidate entry
String is determined as the word of mistake.
S3, determine the first whole edit operations has been executed to the split result after, by the target candidate word
Word in item in addition to the word of the mistake is determined as being classified as correct word.
Specifically, user successively can execute the first edit operation to split result, execute the first edit operation each time
One first object word string of correspondence, after determination has executed the first whole edit operations to split result, it is believed that use
Family all chooses whole erroneous words, therefore can be by the word in target candidate entry in addition to the word of the mistake, really
It is set to and is classified as correct word.
Referring to Fig. 6, illustrates user and the first edit operation is executed to choose the process of erroneous words to split result.
Split result exemplary for Fig. 4, wherein " machine " is the word of mistake, user can execute the first editor behaviour to it
Make, such as click, and then as the word of mistake.The word removed except " machine " in target candidate entry is all correct word.
Second:
The second edit operation of S1, response to the second target word string in the split result of displaying, second edit operation
Correct word is chosen in expression.
Wherein, the second edit operation can be the operation of the operating gestures such as click, double-click, in addition to this can also be that voice refers to
Enable form.
The corresponding operation object of second edit operation is the second target word string.
S2, according to the second target word string, determine in the target candidate entry and be classified as correct word.
It specifically, can be directly using the second target word string for including in target candidate entry as correct word.
S3, determine the second whole edit operations has been executed to the split result after, by the target candidate word
Word in item in addition to the correct word is determined as being classified as the word of mistake.
Specifically, user successively can execute the second edit operation to split result, execute the second edit operation each time
One the second target word string of correspondence, after determination has executed the second whole edit operations to split result, it is believed that use
Family all chooses whole correct words, therefore can be by the word in target candidate entry in addition to the correct word, really
It is set to the word for being classified as mistake.
On this basis, in the aforementioned split result split to target candidate entry, may two it is different
Include identical word between word string, such as " test " and " survey ", " examination " in Fig. 4, behind two split results be both contained in first
In a split result, when user performs the second edit operation to " test ", it can determine that " survey " and " examination " also should belong to just
True word, in order to reduce the cost that user executes the second edit operation to " survey " and " examination " again, the embodiment of the present application is above-mentioned
On the basis of can also increase following treatment process:
By in the split result of displaying, the second target word string and other word strings comprising the word in the second target word string are hidden
Hiding.
That is, when user executes second edit operation to split result, and it has been determined that the second edit operation is corresponding
It, can be by the second target word string in split result and other word strings comprising the word in the second target word string when the second target word string
It hides.
Referring to Fig. 7, response the second edit operation of user, showing interface effect diagram are illustrated.When user is to " survey
After examination " executes the second edit operation, " test " and " survey " and " examination " is hidden.
Further, it is contemplated that user, generally can be according to certain sequence when executing the second edit operation to split result
It executes, such as from left to right successively chooses the second target word string and execute the second edit operation, or choose from right to left.Based on this, when
After user chooses a second target word string to execute the second edit operation, it is clear that the second target word string is executed by user
Second edit operation, shows the second target word string without continuing, therefore can be hidden.Further, it is selected according to user
Sequence is taken, the word string before the second target word string is the word that user regards as mistake, therefore can be hidden by such word string
Hiding, specific operation process may include:
Determine that object executes the sequence of the second edit operation.The sequence that the second edit operation is executed according to the object,
When responding the second edit operation to the second target word string, by the second target word string described in the split result and it is located at described
Word string before second target word string is hidden.
Assuming that split result includes A, B, C, D, E.Determine that object executes the second edit operation according to from left to right sequence, i.e.,
Choose correct word.
Object Selection C first then confirms that C is the second target word string.According to application scheme, by the word string before C and C
It hides, D, E is only shown after hiding.
Wherein, for determining that object executes the process of the sequence of the second edit operation, may include:
The operation order of oneself is inputted by object, including object inputs operation order from edlin or the application provides behaviour
Work sequence list is therefrom selected for object, and the operation order of Object Selection is determined as object and executes the second edit operation
Sequentially.
Alternatively,
The sequence that the second edit operation is executed according to subjects history determines the operation order of object habit, holds as object
The sequence of the second edit operation of row.
In another embodiment of the application, to abovementioned steps S130, obtain in the input coding information, and it is described
The process for being classified as the re-decoding result of the corresponding coding segment of word of mistake is introduced.
A kind of optional mode, can be directly in input coding information, coded slice corresponding with the word for being classified as mistake
Duan Jinhang is re-decoded, and obtains re-decoding result.
Another optional mode, when being re-decoded to the corresponding coding segment of word for being classified as mistake, Ke Yikao
Consider in target candidate entry and be classified as influence of the correct word to the re-decoding, it may be assumed that
Be classified as correct word according in the target candidate entry, to be classified as in the input coding information mistake
The corresponding coding segment of word is decoded again, obtains several re-decoding candidate entries comprising matching probability；At least according to
Matching probability sequentially, is ranked up each re-decoding candidate entry from large to small.
It is understood that if the lexeme of mistake can determine the word of the mistake in the tail portion of target candidate entry
It has determined above；If the lexeme of mistake in the head of target candidate entry, can determine the word of the mistake hereafter
It determines；If the lexeme of mistake can determine that the context of the word of the mistake has determined in the centre of target candidate entry.
When being re-decoded to the corresponding coding segment of word of mistake, using following formula as target:
P(AYiB | above=A, hereafter=B)
Wherein, YiFor i-th of re-decoding candidate entry of the corresponding coding segment of word of mistake, A is target candidate entry
The information above of the word of middle mistake, B are the context information of word wrong in target candidate entry.
Each re-decoding candidate entry can be decoded to obtain according to the formula, and the corresponding matching for re-decoding candidate entry is general
Rate P.
It can be directly according to matching probability sequence from large to small, to each re-decodings candidate entry progress in the present embodiment
Sequence.
Further, there may be the words of the mistake comprising aforementioned determination in re-decoding candidate entry, for such weight
Candidate entry is decoded, very maximum probability can not become the desired entry of user, therefore suitable from large to small according to matching probability
When sequence sorts, punishment can be ranked up to the re-decoding candidate entry comprising the word for being classified as mistake.
If Fig. 5 is exemplary, the coding segment of erroneous words is belonged to for " ji ", includes the coding segment in target candidate entry
Corresponding erroneous words " machine " are therefore ranked up punishment to the re-decoding candidate entry " machine " comprising " machine " when re-decoding,
Final sorting position is in a rearward position.
Candidate entry provided by the embodiments of the present application adjustment device is described below, candidate entry tune described below
Engagement positions can correspond to each other reference with above-described candidate entry method of adjustment.
Referring to Fig. 8, Fig. 8 is a kind of candidate entry adjustment apparatus structure schematic diagram disclosed in the embodiment of the present application.
As shown in figure 8, the apparatus may include:
Request reception unit 11 is chosen, for receiving in the candidate entry corresponding with input coding information to displaying, mesh
Mark candidate entry chooses request；
Split result acquiring unit 12, for the split result of the target candidate entry, the split result includes extremely
Few two word strings, each word string include at least one word；
Split result display unit 13, for showing the split result of the target candidate entry；
Word taxon 14 determines that the target is waited for responding the correctness sort operation to the split result of displaying
Select the word for being classified as correct word in entry and being classified as mistake；
Result acquiring unit 15 is re-decoded, for obtaining in the input coding information, with the word for being classified as mistake
The re-decoding result of corresponding coding segment；
Result display unit 16 is re-decoded, for showing the re-decoding result.
Optionally, above-mentioned split result acquiring unit may include:
Possible word string acquiring unit, for obtaining all possible word string for forming the target candidate entry；
Dictionary enquiry unit will be present in the possibility in the dictionary for inquiring dictionary for each possible word string
Word string be determined as the split result of the target candidate entry.
Optionally, above-mentioned split result acquiring unit can also include:
Word frequency and mutual information acquiring unit, for obtaining the word frequency and mutual information of each possible word string；
Word string deletes unit, for word frequency to be lower than setting mutual information threshold value lower than setting word frequency threshold or mutual information
Possible word string is deleted.
Optionally, above-mentioned split result acquiring unit can also include:
Split result sequencing unit, for determining the target candidate according to the first ranking criteria and the second ranking criteria
The collating sequence of the split result of entry, first ranking criteria include that word string initial is successive in target candidate entry
Sequence is consistent with word string collating sequence；Second ranking criteria includes that position of the initial in target candidate entry is identical
Word string includes word quantity by up to few sequentially to word string sequence according to word string；
Then the split result display unit is specifically used for, and shows the fractionation knot to sort according to determining collating sequence
Fruit.
Optionally, upper predicate taxon may include:
First edit operation response unit, for responding the first editor of first object word string in the split result to displaying
Operation, first edit operation indicate to choose the word of mistake；
First erroneous words determination unit is divided for according to the first object word string, determining in the target candidate entry
Class is the word of mistake；
First correct word determination unit, for determine to the split result executed the first whole edit operations it
Afterwards, by the word in the target candidate entry in addition to the word of the mistake, it is determined as being classified as correct word.
Optionally, upper predicate taxon may include:
Second edit operation response unit, for responding the second editor of the second target word string in the split result to displaying
Correct word is chosen in operation, the second edit operation expression；
Second correct word determination unit is divided for according to the second target word string, determining in the target candidate entry
Class is correct word；
Second erroneous words determination unit, for determine to the split result executed the second whole edit operations it
Afterwards, by the word in the target candidate entry in addition to the correct word, it is determined as being classified as the word of mistake.
Further, the application device can also include:
First word string hidden unit in the split result for that will show, the second target word string and includes the second target word
Other word strings of word in string are hidden.
Further, the application device can also include:
Order determination unit is executed, for determining that object executes the sequence of the second edit operation；
Second word string hidden unit, for executing the sequence of the second edit operation according to the object, in response to second
When the second edit operation of target word string, by the second target word string described in the split result and it is located at second target word
Word string before string is hidden.
Optionally, above-mentioned re-decoding result acquiring unit may include:
Unit is re-decoded, for being classified as correct word according in the target candidate entry, the input coding is believed
The corresponding coding segment of word that mistake is classified as in breath is decoded again, is obtained several re-decodings comprising matching probability and is waited
Select entry；
Re-decode sequencing unit, at least according to matching probability from large to small sequence, to each re-decoding candidate word
Item is ranked up.
Optionally, above-mentioned re-decoding sequencing unit may include:
Sequence punishment unit is re-decoded, for and being classified as to comprising described according to matching probability sequence from large to small
The re-decoding candidate entry of the word of mistake is ranked up punishment, is ranked up to each re-decoding candidate entry.
Candidate entry adjustment device provided by the embodiments of the present application can be applied to candidate entry adjustment equipment, such as mobile whole
End, PC terminal, cloud platform, server and server cluster etc..Optionally, Fig. 9 shows the hardware of candidate entry adjustment equipment
Structural block diagram, referring to Fig. 9, the hardware configuration that candidate entry adjusts equipment may include: at least one processor 1, at least one
Communication interface 2, at least one processor 3 and at least one communication bus 4；
In the embodiment of the present application, processor 1, communication interface 2, memory 3, communication bus 4 quantity be at least one,
And processor 1, communication interface 2, memory 3 complete mutual communication by communication bus 4；
Processor 1 may be a central processor CPU or specific integrated circuit ASIC
(Application Specific Integrated Circuit), or be arranged to implement of the invention real
Apply one or more integrated circuits etc. of example；
Memory 3 may include high speed RAM memory, it is also possible to further include nonvolatile memory (non-volatile
Memory) etc., a for example, at least magnetic disk storage；
Wherein, memory is stored with program, the program that processor can call memory to store, and described program is used for:
It receives in the candidate entry corresponding with input coding information of displaying, target candidate entry chooses request；
Obtain and show that the split result of the target candidate entry, the split result contain at least two word string, often
One word string includes at least one word；
The correctness sort operation to the split result of displaying is responded, determines and is classified as in the target candidate entry correctly
Word and be classified as mistake word；
It obtains and shows in the input coding information, the solution again of coding segment corresponding with the word for being classified as mistake
Code result.
Optionally, the refinement function of described program and extension function can refer to above description.
The embodiment of the present application also provides a kind of readable storage medium storing program for executing, which can be stored with and hold suitable for processor
Capable program, described program are used for:
It receives in the candidate entry corresponding with input coding information of displaying, target candidate entry chooses request；
Obtain and show that the split result of the target candidate entry, the split result contain at least two word string, often
One word string includes at least one word；
The correctness sort operation to the split result of displaying is responded, determines and is classified as in the target candidate entry correctly
Word and be classified as mistake word；
It obtains and shows in the input coding information, the solution again of coding segment corresponding with the word for being classified as mistake
Code result.
Optionally, the refinement function of described program and extension function can refer to above description.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (15)
1. a kind of candidate entry method of adjustment characterized by comprising
It receives in the candidate entry corresponding with input coding information of displaying, target candidate entry chooses request；
Obtain and show that the split result of the target candidate entry, the split result contain at least two word string, each word
String includes at least one word；
The correctness sort operation to the split result of displaying is responded, determines in the target candidate entry and is classified as correct word
With the word for being classified as mistake；
It obtains and shows in the input coding information, the re-decoding knot of coding segment corresponding with the word for being classified as mistake
Fruit.
2. the method according to claim 1, wherein obtaining the mistake of the split result of the target candidate entry
Journey, comprising:
Obtain all possible word string for forming the target candidate entry；
Dictionary is inquired for each possible word string, the possible word string that will be present in the dictionary is determined as the target and waits
Select the split result of entry.
3. the method according to claim 1, wherein the response classifies to the correctness of the split result of displaying
Operation determines the word for being classified as correct word in the target candidate entry and being classified as mistake, comprising:
The first edit operation to first object word string in the split result of displaying is responded, the first edit operation expression is chosen
The word of mistake；
According to the first object word string, the word that mistake is classified as in the target candidate entry is determined；
After determination has executed the first whole edit operations to the split result, institute will be removed in the target candidate entry
The word except the word of mistake is stated, is determined as being classified as correct word.
4. the method according to claim 1, wherein the response classifies to the correctness of the split result of displaying
Operation determines the word for being classified as correct word in the target candidate entry and being classified as mistake, comprising:
The second edit operation to the second target word string in the split result of displaying is responded, the second edit operation expression is chosen
Correct word；
According to the second target word string, determines in the target candidate entry and be classified as correct word；
After determination has executed the second whole edit operations to the split result, institute will be removed in the target candidate entry
The word except correct word is stated, is determined as being classified as the word of mistake.
5. according to the method described in claim 4, it is characterized by further comprising:
By in the split result of displaying, the second target word string and other word strings comprising the word in the second target word string are hidden.
6. method according to claim 4 or 5, which is characterized in that further include:
Determine that object executes the sequence of the second edit operation；
The sequence that the second edit operation is executed according to the object, in second edit operation of the response to the second target word string,
Second target word string described in the split result and the word string before the second target word string are hidden.
7. being classified as the method according to claim 1, wherein obtaining in the input coding information with described
The re-decoding result of the corresponding coding segment of the word of mistake, comprising:
It is classified as correct word according in the target candidate entry, to the word pair for being classified as mistake in the input coding information
The coding segment answered is decoded again, obtains several re-decoding candidate entries comprising matching probability；
At least according to matching probability from large to small sequence, each re-decoding candidate entry is ranked up.
8. the method according to the description of claim 7 is characterized in that it is described at least according to matching probability from large to small sequence, it is right
Each re-decoding candidate entry is ranked up, comprising:
According to matching probability from large to small sequence, and to include it is described be classified as mistake word re-decoding candidate entry carry out
Sequence punishment, is ranked up each re-decoding candidate entry.
9. a kind of candidate entry adjusts device characterized by comprising
Request reception unit is chosen, for receiving in the candidate entry corresponding with input coding information to displaying, target candidate
Entry chooses request；
Split result acquiring unit, for obtaining the split result of the target candidate entry, the split result includes at least
Two word strings, each word string include at least one word；
Split result display unit, for showing the split result of the target candidate entry；
Word taxon determines the target candidate entry for responding the correctness sort operation to the split result of displaying
In be classified as correct word and be classified as mistake word；
Result acquiring unit is re-decoded, it is corresponding with the word for being classified as mistake for obtaining in the input coding information
Encode the re-decoding result of segment；
Result display unit is re-decoded, for showing the re-decoding result.
10. device according to claim 9, which is characterized in that institute's predicate taxon includes:
Second edit operation response unit, for responding the second editor behaviour of the second target word string in the split result to displaying
Make, correct word is chosen in the second edit operation expression；
Second correct word determination unit, for determining and being classified as in the target candidate entry according to the second target word string
Correct word；
Second erroneous words determination unit, for determine the second whole edit operations has been executed to the split result after,
By the word in the target candidate entry in addition to the correct word, it is determined as being classified as the word of mistake.
11. device according to claim 10, which is characterized in that further include:
First word string hidden unit, in the split result for that will show, the second target word string and comprising in the second target word string
Word other word strings hide.
12. device described in 0 or 11 according to claim 1, which is characterized in that further include:
Order determination unit is executed, for determining that object executes the sequence of the second edit operation；
Second word string hidden unit, for executing the sequence of the second edit operation according to the object, in response to the second target
When the second edit operation of word string, by the second target word string described in the split result and be located at the second target word string it
Preceding word string is hidden.
13. device according to claim 9, which is characterized in that the re-decoding result acquiring unit, comprising:
Unit is re-decoded, for being classified as correct word according in the target candidate entry, in the input coding information
The corresponding coding segment of word for being classified as mistake is decoded again, obtains several re-decoding candidate words comprising matching probability
Item；
Re-decode sequencing unit, at least according to matching probability from large to small sequence, to each re-decoding candidate entry into
Row sequence.
14. a kind of candidate entry adjusts equipment, which is characterized in that including memory and processor；
The memory, for storing program；
The processor realizes such as candidate entry adjustment side of any of claims 1-8 for executing described program
Each step of method.
15. a kind of readable storage medium storing program for executing, is stored thereon with computer program, which is characterized in that the computer program is processed
When device executes, each step such as candidate entry method of adjustment of any of claims 1-8 is realized.
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