CN103488796B - Based on context the method and mobile terminal inputted - Google Patents
Based on context the method and mobile terminal inputted Download PDFInfo
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- 238000010586 diagram Methods 0.000 description 4
- 235000011888 snacks Nutrition 0.000 description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24575—Query processing with adaptation to user needs using context
Abstract
The method and mobile terminal based on context inputted this application discloses one kind.Described method includes following steps: obtaining the session information of current sessions type；Parse vocabulary included in session information of the session information of current sessions type to obtain current sessions type；Included vocabulary is counted in the session information, and by vocabulary sequence included in the session information preceding, with the dictionary after being sorted；Dictionary association after the current sessions type and sequence is stored in local.Above scheme, dictionary and current sessions type association can be got up, to make user when using different conversation types, respectively using the dictionary for binding this conversation type, the degree of correlation for improving candidate vocabulary and key character shown when input key character, to improve user's input efficiency.
Description
Technical field
This application involves field of communication technology, the method based on context inputted more particularly to one kind and mobile terminal.
Background technique
With the diversification of smart phone function and popularizing for 3G network, people are interacted using mobile terminal
Scene is also more and more, such as QQ, wechat, short message, MSN more or less use input method in such applications, because
This, user increasingly pays close attention to the input efficiency of input method, and important component of the vocabulary in input method as input method, directly
It connects and affects input efficiency.The prior art adds the methods of vocabulary by online upgrading dictionary, manually to enrich dictionary, to give
User provides more vocabulary and selects for user, to improve input efficiency.Input method vocabulary is abundanter, when input can list for
The vocabulary of family selection is more, and still, dictionary is bigger, so that meeting, user's vocabulary currently entered is more and more, and user needs
More and more times select the vocabulary wanted in lexicon, affect user's input efficiency.For example, being closed when user inputs
When key characters " sx ", input method is at once by candidate vocabulary: user's choosing is recommended in " first ", " realization ", " camera shooting ", " going to school " etc.
It selects, still, user is practical, and think input is place " Shanxi ", since there are many vocabulary that input method is listed, " Shanxi " this vocabulary
It can just find below very much.
In traditional input method, under same input mode, to all application scenarios (for example, navigation equipment
Inputting contact information in middle input address, phone directory inputs Apply Names, newly-built or replied mail etc. in software market) all
User is led to by enumerating all vocabulary for meeting active user's input to user using identical input processing mode
No matter under which kind of input application scenarios, requires searched from more vocabulary to find required vocabulary, influence
The input efficiency of user.
Summary of the invention
The application, can mainly solving the technical problems that provide a kind of method based on context inputted and mobile terminal
Dictionary and current sessions type association are got up, to make user when using different conversation types, respectively originally using binding
The dictionary of conversation type improves the degree of correlation of candidate vocabulary and key character shown when input key character, to improve
User's input efficiency.
In order to solve the above technical problems, one technical scheme adopted by the invention is that: one kind is provided and is based on context inputted
Method, described method includes following steps: obtaining the session information of current sessions type, wherein the conversation type includes
The application message of session and the user information under the application message；The session information of current sessions type is parsed to obtain
Included vocabulary in the session information of current sessions type；Vocabulary included in the session information is counted, and will be described
The sequence of included vocabulary is preceding in session information, with the dictionary after being sorted；By the current sessions type and sequence
Dictionary association afterwards is stored in local, so that user reuses the session of the current sessions type and inputs key character
When, according to sequence of the candidate vocabulary in the dictionary after the sequence with the current sessions type association, preferentially to sequence preceding
Candidate vocabulary carry out input and show.
Included by wherein, parsing in session information of the session information of current sessions type to obtain current sessions type
The step of vocabulary includes: the text information obtained in the session information；Every text information is sequentially parsed sentence by sentence, with
Obtain vocabulary included in the text information；Record the vocabulary obtained after parsing.
Wherein, the frequency of occurrences of the vocabulary is counted, and is ranked up according to the frequency of occurrences of the vocabulary to be arranged
The step of dictionary after sequence includes: the frequency of occurrences of the vocabulary after statistics parsing；According to the frequency of occurrences of the vocabulary from
It is high to Low to be ranked up；The vocabulary is stored in dictionary by the sequence of the frequency of occurrences, with the dictionary after being sorted.
Wherein, before the step of obtaining the session information of current sessions type further include: judge whether it is and use for the first time
The session of current sessions type；If it is, calling default dictionary and preferentially to the preceding candidate word that sorts in default dictionary
Remittance carries out input and shows；If it is not, then calling the dictionary after sequence and preferentially to the preceding time that sorts in the dictionary after sequence
It selects vocabulary to carry out input to show.
Wherein, the step of vocabulary included in counting the session information specifically includes: counting the session information
In included vocabulary, and vocabulary included in the session information is sorted preceding；It counts and is wrapped in the session information
The frequency of occurrences of the vocabulary included, and by the preceding vocabulary of sequence included in the session information, according to the session information
In the frequency of occurrences of included vocabulary be ranked up, with the dictionary after being sorted.
In order to solve the above technical problems, another technical solution used in the present invention is: a kind of mobile terminal is provided, it is described
Mobile terminal includes: to obtain module, vocabulary parsing module, dictionary management module, input method module；The acquisition module is for obtaining
Take the session information of current sessions type, wherein the conversation type includes the application message of session and believes in the application
User information under breath, the acquisition module is by the session information of the current sessions type and conversation type to the vocabulary solution
Module is analysed to send；The vocabulary parsing module is used to receive the session information of the current sessions type and conversation type, according to
The session information of the current sessions type and current sessions type, it is current to obtain to parse the session information of current sessions type
Included vocabulary in the session information of conversation type, the vocabulary parsing module will be after the current sessions types and parsing
Vocabulary is sent to the dictionary management module；After the dictionary management module is for receiving the current sessions type and parsing
Vocabulary, according to vocabulary included in session information described in the glossary statistic after the parsing, and by institute in the session information
Including vocabulary sequence preceding, with the dictionary after being sorted, the dictionary management module is by the current sessions type and row
Dictionary after sequence is sent to the input method module；After the input method module is for receiving the current sessions type and sequence
Dictionary, according to the current sessions type and sequence after dictionary by the current sessions type and sequence after dictionary close
UNPROFOR exists locally, when reusing the session of the current sessions type for user and input key character, according to candidate
Sequence of the vocabulary in the dictionary after the sequence with the current sessions type association, preferentially to sort preceding candidate vocabulary into
Row input display.
Wherein, the vocabulary parsing module is used to obtain the text information of the session information, according to the text information
Every text information is sequentially parsed sentence by sentence, to obtain in the text information included vocabulary, and after recording parsing
The obtained vocabulary.
Wherein, the vocabulary parsing module is used to count the frequency of occurrences of the vocabulary after parsing, according to the vocabulary
The frequency of occurrences be ranked up from high to low, and the vocabulary after sequence is preferentially come in dictionary, after being sorted
Dictionary.
Wherein, the mobile terminal also further includes judgment module, and the judgment module makes for the first time for judging whether it is
With the session of current sessions type；When the judgment module judging result, which is, is, the input method module is also used to call silent
Recognize dictionary and input preferentially is carried out to the preceding candidate vocabulary that sorts in default dictionary and shows；When the judgment module judges to tie
When fruit is no, the input method module is also used to call the dictionary after sorting and preferentially to sequence in the dictionary after sequence preceding
Candidate vocabulary carry out input and show；The judgment module sends judging result to the input method module.
Wherein, the vocabulary parsing module is used to count in the session information included vocabulary, and by the session
Included vocabulary sorts preceding in information；The vocabulary parsing module is also used to count word included in the session information
The frequency of occurrences of remittance, and by the preceding vocabulary of sequence included in the session information, it is wrapped according in the session information
The frequency of occurrences of the vocabulary included is ranked up, with the dictionary after being sorted.
The beneficial effects of the present invention are: being in contrast to the prior art, the present invention is by obtaining and parsing current sessions
The session information of type and current sessions type, wherein conversation type includes the application message of session and in the application
User information under information, so that vocabulary included in the session information of current sessions type is obtained, after it will parse
The sequence of included vocabulary is preceding in the session information, and is ranked up according to the frequency of occurrences of the vocabulary, obtains
Dictionary after sequence, by by current sessions type and sequence after dictionary association be stored in local, can by dictionary with work as
Preceding conversation type associates, to make user when using different conversation types, uses bind this conversation type respectively
Dictionary, improves the degree of correlation of candidate vocabulary and key character shown when input key character, so that improving user inputs effect
Rate.
Detailed description of the invention
Fig. 1 is based on context one embodiment flow chart of method that the application inputs；
Fig. 2 is based on context another embodiment flow chart of method that the application inputs；
Fig. 3 is one embodiment structure schematic diagram of the application mobile terminal；
Fig. 4 is another embodiment structure schematic diagram of the application mobile terminal.
Specific embodiment
It is described with reference to the accompanying drawing with specific embodiment.
Refering to fig. 1, Fig. 1 is the application based on context one embodiment flow chart of input method.In present embodiment, root
According to context input method the following steps are included:
Step S101: the session information of current sessions type is obtained.Wherein, conversation type include the application message of session with
And the user information under application message.
When receiving the session information of current sessions type, obtain current application message mark in systems and
The mark of user information in systems under current application information determines current sessions type, and is obtained according to current sessions classification
Take the session information of current sessions type.For example, current sessions are believed in application if the application message of current sessions is " MSN "
The lower user information of breath is " contact person Jack ", then current sessions type are as follows: in MSN with the session of contact person Jack；If worked as
The application message of preceding session is " QQ ", and user information of the current sessions under application message is " contact person Frank ", then current meeting
Call type are as follows: in QQ with the session of contact person Frank.
Step S102: the session information of parsing current sessions type.
The text information in the session information of current sessions type is obtained, and sequentially parses every text envelope sentence by sentence
Breath to obtain vocabulary included in text information, and records obtained vocabulary after parsing.
Specifically, since the first character of first text information, sequentially character resolution first one by one
Included character in text information, and so on, until last sentence in the session information for having parsed current sessions type
Included character in text information.
Second character of first character and the arrangement that successively connects is obtained, first by searching for default corresponding to input method
Whether by the identical vocabulary of the vocabulary formed with the two characters in dictionary, to judge whether the two characters are a vocabulary.
If found by the identical vocabulary of the vocabulary formed with the two characters, judge that the two characters are a words
It converges, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If do not found by the identical vocabulary of the vocabulary formed with the two characters, judge that the two characters are not
One vocabulary.And then the third character for the arrangement that connects with the two characters is obtained, and again by searching for corresponding to input method
Default dictionary in whether by the identical vocabulary of the vocabulary formed with these three characters, to judge whether these three characters are one
Vocabulary.
If found by the identical vocabulary of the vocabulary formed with these three characters, judge that these three characters are a words
It converges, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If do not found by the identical vocabulary of the vocabulary formed with these three characters, judge that these three characters are not
One vocabulary.And then the 4th character of the arrangement that connects with these three characters is obtained, and again by searching for corresponding to input method
Default dictionary in whether by the identical vocabulary of the vocabulary formed with this four characters, to judge whether this four characters are one
Vocabulary.
If found by the identical vocabulary of the vocabulary formed with this four characters, judge that this four characters are a words
It converges, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If do not found by the identical vocabulary of the vocabulary formed with this four characters, judge that this four characters are not
One vocabulary.
Two characters are included at least in view of the previous Chinese vocabulary of mesh, and include up to 4 characters, so, in this reality
Apply in example, if since first character, respectively with rear three characters for the arrangement that successively connects with first character respectively
After failure, judge that this four characters are not a vocabulary, and stops the terminology match with the first character, it will be with the first character phase
Run in column second character as the first current character, repeat the above steps, until having parsed in first text information
Last character.And and so on, until last text envelope in the session information for having parsed current sessions type
Included character in breath.
If since first character, respectively with latter two character for the arrangement that successively connects with first character respectively
After failure, but with successively connect with it arrangement the 4th character match success when, judge that this four characters are a vocabulary, and
Stop the terminology match with the first character.Using with the first character successively connect arrangement second character as the first current word
Symbol, repeats the above steps, until having parsed the last character in first text information.And and so on, until parsing
Included character in last text information in the session information of complete current sessions type.
Preferably, if since first character, respectively with latter two word for the arrangement that successively connects with first character
Symbol is respectively after it fails to match, but with the success of the 4th character match of the arrangement that successively connects, judge that this four characters are a words
Converge, and stop with after the terminology match of the first character, using the 5th character of the arrangement that connects with the 4th character as currently
First character, repeats the above steps, until in the session information for having parsed current sessions type in first text information most
The latter character.It has parsed in the session information of current sessions type after first text information, parsing and first text envelope
Cease second text information being sequentially arranged, and and so on, until in the session information for having parsed current sessions type most
Included character in latter sentence text information.
Optionally, when the vocabulary included by the session information that vocabulary is labeled as to current sessions type, by the vocabulary
The frequency of occurrences adds one, and records obtained vocabulary after parsing.
In other embodiments, a vocabulary also may include 4 characters or more, to form common saying or two-part allegorical saying etc.,
Specific implementation process is similar with above embodiment, does not repeat herein.
Step S103: counting in the session information included vocabulary, and by word included in the session information
Sequence converge preceding.
Since the vocabulary occurred in current sessions can be greatly improved in the probability of subsequent appearance, so after according to parsing
Obtained vocabulary, counts vocabulary included in the session information of current sessions type, and by the session of current sessions type
Included vocabulary comes the foremost that dictionary is defaulted corresponding to current input method as a whole in information, to obtain
Dictionary after sequence.
Optionally, the obtained vocabulary after according to parsing counts included in the session information of current sessions type
When vocabulary, the frequency of occurrences of obtained each vocabulary after parsing can also be counted simultaneously.Correspondingly, by current sessions class
Included vocabulary comes the foremost that dictionary is defaulted corresponding to current input method as a whole in the session information of type
Afterwards, it can also be ranked up again from high to low according to the frequency of occurrences of each vocabulary obtained after parsing, and by these words
Remittance is stored in dictionary by the sequence of the frequency of occurrences, thus the dictionary after being sorted.
Step S104: the dictionary association after the current sessions type and sequence is stored in local.
Dictionary association after current sessions type and sequence is stored in local, so that user reuses the conversation class
The session of type and when inputting key character, is searched and time corresponding to key character in the dictionary after sequence according to key character
Select vocabulary, and according to candidate vocabulary with the sequence in the dictionary after the current associated sequence of conversation type, preferentially to sequence
Preceding candidate's vocabulary carries out input and shows, the vocabulary inputted required for therefrom selecting so as to user.
Referring to Fig.2, Fig. 2 is the application based on context another embodiment flow chart of input method.In present embodiment
In, based on context input method includes the following steps:
Step S201: input key character is carried out using input method.
Key character is inputted in the session of current sessions type using current input method.
Step S202: judge whether it is the session for using current sessions type for the first time.
In systems according to the user information under the mark and current application information of current application message in systems
Mark, determine current sessions type.For example, current sessions are in application message if the application message of current sessions is " MSN "
Under user information be " contact person Jack ", then current sessions type are as follows: in MSN with the session of contact person Jack；If current
The application message of session is " QQ ", and user information of the current sessions under application message is " contact person Frank ", then current sessions
Type are as follows: in QQ with the session of contact person Frank.Since used conversation type can be recorded in local, so can
Whether to be recorded according to current sessions type, to judge whether it is the session for using current sessions type for the first time.
The session that current sessions type is used if not first time, thens follow the steps S203.
The session that current sessions type is used if it is first time, thens follow the steps S208.
Step S203: the dictionary after calling sequence.
When the judging result for executing the step S202 is is not to use the session of current sessions type for the first time, the row of calling
Dictionary after sequence.
Step S204: the key character of user's input is received.
Receive the key character of user's input.
Step S205: judge whether to find candidate vocabulary corresponding with key character.
After the key character for receiving user's input, the key character inputted according to user is looked into the dictionary after sequence
Candidate vocabulary corresponding with key character is looked for, and judges whether to find candidate vocabulary corresponding with key character.
If finding candidate vocabulary corresponding with key character, S206 is thened follow the steps.
If not finding candidate vocabulary corresponding with key character, S208 is thened follow the steps.
Step S206: judge whether user inputs the candidate vocabulary corresponding with key character found.
When finding candidate vocabulary corresponding with key character, judge whether user inputs found and keyword
Accord with corresponding candidate vocabulary.
If inputting the candidate vocabulary corresponding with key character found, S207 is thened follow the steps.
If not inputting the candidate vocabulary corresponding with key character found, S209 is thened follow the steps.
Step S207: input preferentially is carried out to the preceding candidate vocabulary that sorts in the dictionary after sequence and is shown.
When user judges to need to input the candidate vocabulary corresponding with key character found, existed according to candidate vocabulary
It is aobvious preferentially to carry out input to the preceding candidate vocabulary that sorts for the sequence in the dictionary after sequence with current sessions type association
Show, the vocabulary inputted required for therefrom being selected so as to user.
Step S208: default dictionary is called.
When the judging result for executing the step S202 is to use the session of current sessions type for the first time, after calling sequence
Dictionary.
When the judging result for executing the step S205 be the key character that is inputted according to user in sequence after dictionary in not
When can find candidate vocabulary corresponding with key character, default dictionary is called.
Step S209: input preferentially is carried out to the preceding candidate vocabulary that sorts in default dictionary and is shown.
The key character inputted according to user lookup in default dictionary candidate vocabulary corresponding with key character, and according to
Sequence of the candidate vocabulary in default dictionary preferentially carries out input to the preceding candidate vocabulary that sorts and shows.
It is one embodiment structure schematic diagram of the application mobile terminal refering to Fig. 3, Fig. 3.In the present embodiment, mobile whole
End includes: to obtain module 310, vocabulary parsing module 320, dictionary management module 330, input method module 340.
Obtain the session information that module 310 is used to obtain current sessions type, wherein conversation type includes the application of session
Information and the user information under the application message.
For example, obtaining module 310 when mobile terminal receives the session information of current sessions type and obtaining current answer
With the mark of the user information under the mark and current application information of information in systems in systems, current sessions class is determined
Type, and according to the session information of current sessions classification acquisition current sessions type.For example, if the application message of current sessions is
" MSN ", user information of the current sessions under application message are " contact person Jack ", then current sessions type are as follows: in MSN with connection
It is the session of people Jack；If the application message of current sessions is " QQ ", user information of the current sessions under application message is
" contact person Frank ", then current sessions type are as follows: in QQ with the session of contact person Frank.Obtain module 310 according in MSN with
The session of contact person Jack obtains the session information in MSN with contact person Jack；According to the session in QQ with contact person Frank,
Obtain the session information in QQ with contact person Frank.
Module 310 is obtained to send the session information of current sessions type and conversation type to vocabulary parsing module 320.
Vocabulary parsing module 320 is used to receive the session information of current sessions type and conversation type, and according to it is current
The session information of conversation type and current sessions type parses the session information of current sessions type to obtain current sessions type
Session information in included vocabulary.
For example, vocabulary parsing module 320 obtains the text information in the session information of current sessions type, and by successively suitable
Sequence parses every text information sentence by sentence, to obtain vocabulary included in text information, and records obtained word after parsing
It converges.
Specifically, vocabulary parsing module 320 is since the first character of first text information, sequentially one by one
Included character in first text information of character resolution, and so on, the session until having parsed current sessions type is believed
Included character in last text information in breath.
Vocabulary parsing module 320 first obtains second character of first character with the arrangement that successively connects, by searching for defeated
Enter corresponding to method in default dictionary whether by the identical vocabulary of the vocabulary formed with the two characters, to judge the two characters
It whether is a vocabulary.
If vocabulary parsing module 320 is found by the identical vocabulary of the vocabulary formed with the two characters, this is judged
Two characters are a vocabulary, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If vocabulary parsing module 320 is not found by the identical vocabulary of the vocabulary formed with the two characters, sentence
The two characters that break are not a vocabulary.And then the third character for the arrangement that connects with the two characters is obtained again, and is passed through
Whether search in default dictionary corresponding to input method by the identical vocabulary of the vocabulary formed with these three characters, with judge this three
Whether a character is a vocabulary.
If vocabulary parsing module 320 is found by the identical vocabulary of the vocabulary formed with these three characters, this is judged
Three characters are a vocabulary, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If vocabulary parsing module 320 is not found by the identical vocabulary of the vocabulary formed with these three characters, sentence
These three characters that break are not a vocabulary.And then the 4th character of the arrangement that connects with these three characters is obtained again, and is passed through
Whether search in default dictionary corresponding to input method by the identical vocabulary of the vocabulary formed with this four characters, with judge this four
Whether a character is a vocabulary.
If vocabulary parsing module 320 is found by the identical vocabulary of the vocabulary formed with this four characters, this is judged
Four characters are a vocabulary, and the vocabulary is labeled as vocabulary included by the session information of current sessions type.
If vocabulary parsing module 320 is not found by the identical vocabulary of the vocabulary formed with this four characters, sentence
This four characters that break are not a vocabulary.
Two characters are generally included at least in view of a Chinese vocabulary, and include up to 4 characters, so, in this reality
Apply in example, if vocabulary parsing module 320 since first character, respectively and after the arrangement that successively connects with first character
Three characters judge that this four characters are not a vocabulary, and stop the terminology match with the first character after it fails to match respectively,
It using second character of the arrangement that connects with the first character as the first current character, repeats the above steps, until having parsed the
Last character in one text information.And and so on, until in the session information for having parsed current sessions type
Included character in last text information.
If vocabulary parsing module 320 since first character, successively connects arrangement with first character respectively
Latter two character is respectively after it fails to match, but and successively connect with it the 4th character match success of arrangement when, judge this four
Character is a vocabulary, and stops the terminology match with the first character.By second word of the arrangement that successively connects with the first character
It accords with as the first current character, repeats the above steps, until having parsed the last character in first text information.And
And so on, until character included in last text information in the session information for having parsed current sessions type.
Preferably, if vocabulary parsing module 320 is since first character, successively connect with first character respectively
Latter two character of arrangement is respectively after it fails to match, but with the success of the 4th character match of the arrangement that successively connects, judge this four
A character is a vocabulary, and after the terminology match of stopping and the first character, by the 5th of the arrangement that connects with the 4th character
Character repeats the above steps, as the first current character until first in the session information for having parsed current sessions type
Last character in text information.Vocabulary parsing module 320 has parsed in the session information of current sessions type first
After text information, second text information that parsing is sequentially arranged with first text information, and and so on, until having parsed
Included character in last text information in the session information of current sessions type.
Optionally, vocabulary parsing module 320 is also used to be wrapped in the session information by vocabulary labeled as current sessions type
When the vocabulary included, the frequency of occurrences of the vocabulary is added one, and records obtained vocabulary after parsing.
In other embodiments, a vocabulary is also possible to include 4 characters or more, to form common saying or two-part allegorical saying etc.,
Its specific implementation process is similar with above embodiment, does not repeat herein.
Vocabulary parsing module 320 sends the vocabulary after current sessions type and parsing to dictionary management module 330.
Dictionary management module 330 is used to receive the vocabulary after current sessions type and parsing, is united according to the vocabulary after parsing
Vocabulary included in session information is counted, and by vocabulary sequence included in session information preceding, with the word after being sorted
Library.
For example, since the vocabulary occurred in current sessions can be greatly improved in the probability of subsequent appearance, so dictionary
Management module 330 counts vocabulary included in the session information of current sessions type according to vocabulary obtained after parsing, and
Vocabulary included in the session information of current sessions type is come into default corresponding to current input method as a whole
The foremost of dictionary, thus the dictionary after being sorted.
Optionally, vocabulary parsing module 320 is also used to the obtained vocabulary after according to parsing, counts current sessions type
Session information in included vocabulary when, while counting the frequency of occurrences of obtained each vocabulary after parsing.Correspondingly,
Dictionary management module 330 is also used to vocabulary included in the session information of current sessions type in vocabulary parsing module 320
After coming the foremost for defaulting dictionary corresponding to current input method as a whole, according to each word obtained after parsing
The frequency of occurrences of remittance is ranked up again from high to low, and these vocabulary are stored in dictionary by the sequence of the frequency of occurrences
In, thus the dictionary after being sorted.For example, current sessions are in application message if the application message of current sessions is " MSN "
Under user information be " contact person Jack ", then current sessions type are as follows: in MSN with the session of contact person Jack, contact person
The session information that Jack is sent are as follows: yesterday, we went to Sha County to travel, and removed the snack for having eaten there；Occurred in current sessions
Vocabulary " Sha County ", " snack " can be greatly improved in the probability of subsequent appearance, dictionary management module 330 is by vocabulary " Sha County ", " small
Eat " it is made the foremost that an entirety comes default dictionary corresponding to current input method, thus the dictionary after being sorted.
Dictionary management module 330 sends the dictionary after current sessions type and sequence to input method module 340.
Input method module 340 is used to receive the dictionary after current sessions type and sequence, according to current sessions type and row
Dictionary association after current sessions type and sequence is stored in local by the dictionary after sequence, so that user reuses current meeting
The session of call type and when inputting key character, according to candidate vocabulary in the dictionary after the sequence with current sessions type association
Sequence, input preferentially is carried out to the preceding candidate vocabulary that sorts and is shown.
For example, the dictionary association after current sessions type and sequence is stored in local by input method module 340, work as user
Current input method is reused when current sessions type conversates, the key that input method module 340 is inputted according to user
Character searches candidate vocabulary corresponding with key character by dictionary management module 330 in the dictionary after sequence, and according to time
Select vocabulary with the sequence in the dictionary after the current associated sequence of conversation type, preferentially to sort preceding candidate vocabulary into
Row input display, the vocabulary inputted required for therefrom being selected so as to user.For example, current conversation type are as follows: in MSN with contact
The session of people Jack, the dictionary after sequence are as follows: vocabulary " Sha County ", " snack " preferentially arrange preceding dictionary.Input method module 340 will
It is associated in used MSN with the session of contact person Jack with the dictionary after sequence and is maintained at local.When user reuses
When current input method conversates in MSN with contact person Jack, key character " sx " is inputted in dialog box, to input vocabulary
When " Sha County ", the key character " sx " that input method module 340 is inputted according to user, by dictionary management module 330 with work as
Candidate vocabulary corresponding with key character " sx " is searched in dictionary after the corresponding sequence of preceding input method, is being sorted according to candidate vocabulary
The sequence in dictionary afterwards, the preferential preceding candidate vocabulary of display sequence: " Sha County ", " realization ", " familiar ", " are taken the photograph " first "
Picture ", " going to school " etc., so that user therefrom selects the vocabulary " Sha County " for needing to input.
It is another embodiment structure schematic diagram of the application mobile terminal refering to Fig. 4, Fig. 4.Above embodiment is different from,
In the present embodiment, mobile terminal includes: to obtain module 410, vocabulary parsing module 420, dictionary management module 430, input
Method module 440, judgment module 450.
Difference with above-described embodiment is:
Input method module 440 is also used to carry out input key character using input method in current sessions type as user
When, user interface is provided for user.For example, for example, current sessions exist if the application message of current sessions is " MSN "
User information under application message is " contact person Jack ", then current sessions type are as follows: in MSN with the session of contact person Jack.
When user carries out input keyword using current input method with the session of contact person Jack in MSN, input method module 440 is
User provides the dialog box with the session of contact person Jack.
It obtains module 410 to be also used to when input module 440 provides user interface for user, obtains current sessions class
The session information of type, wherein the application message and the user information under application message that conversation type includes session.
For example, obtaining module 410 when user's use is when input module 440 provides user interface for user and obtaining
The mark of user information in systems under the mark and current application information of current application message in systems, determination are worked as
Preceding conversation type, and according to the session information of current sessions classification acquisition current sessions type.For example, if current sessions are answered
It is " MSN " with information, user information of the current sessions under application message is " contact person Jack ", then current sessions type are as follows:
In MSN with the session of contact person Jack.When input method module 440 provides for user the dialog box with the session of contact person Jack
When.It obtains module 410 and obtains the mark of mark and contact person Jack in systems of MSN in systems, determine current sessions
Type, and according to the session information in MSN with the acquisition conversation of contact person Jack and the session of contact person Jack.
Module 410 is obtained to send the session information of current sessions type and conversation type to judgment module 450.
Judgment module 450 is used to receive the session information of current sessions type and conversation type, according to current sessions type
With the session information of conversation type, the session for using current sessions type for the first time is judged whether it is.For example, if current sessions
Application message be " MSN ", user information of the current sessions under application message is " contact person Jack ", then current sessions type
Are as follows: in MSN with the session of contact person Jack；If the application message of current sessions is " QQ ", current sessions are under application message
User information be " contact person Frank ", then current sessions type are as follows: in QQ with the session of contact person Frank.Due to having made
Used conversation type can be recorded in local, so whether judgment module 450 can be recorded according to current sessions type,
To judge whether it is the session for using current sessions type for the first time.
If it is determined that the result that module 450 judges is to be when using the session of current sessions type for the first time, input method mould
Block 440 is also used to call default dictionary by dictionary management module 430.
If it is determined that the result that judges of module 450 is is not input method when using the session of current sessions type for the first time
Module 440 is also used to call the dictionary after sequence by dictionary management module 430.
Judgment module 450 sends judging result to input method module 440.
Input method module 440 is also used to receive judging result transmitted by judgment module 450, is providing user circle for user
When the interface of face, alternative dictionary is called by dictionary management module 430 according to judging result.Wherein, alternative dictionary includes input method
Dictionary after corresponding default dictionary, and sequence.
For example, providing user interface in input method module 440 for user, the result of the judgement of judgment module 450 is
It is when using the session of current sessions type for the first time, input method module 440 calls default word by dictionary management module 430
Library.
When the result of judgment module 450 judged is is not to use the session of current sessions type for the first time, input method
Module 440 calls the dictionary after sequence by dictionary management module 430.
Input method module 440 is also used to receive the key character that user inputs in user interface, and according to user
The key character of input searches candidate vocabulary corresponding with key character after sequence in dictionary.For example, when user reuses
Current input method in MSN in the dialog box of the session of contact person Jack input key character " sx " when, with input " Sha County "
When this vocabulary, input method module 440 receives the key character " sx " that user is inputted, and is adjusted by dictionary management module 430
With the dictionary after sequence, it is right with key character " sx " to be searched in the dictionary after sequence according to the key character " sx " of user's input
The candidate vocabulary answered.
Judgment module 450 is also used to judge whether to find candidate vocabulary corresponding with key character.For example, working as user again
The secondary dialog box using current input method in MSN with the session of contact person Jack, by inputting key character " sx ", with input
When " Sha County " this vocabulary, input method module 404 receives the inputted key character of user " sx ", and is existed according to key character " sx "
When searching candidate vocabulary corresponding with key character " sx " in the dictionary after sequence, judgment module 450 judges the word after sequence
Whether with key character " sx " corresponding candidate vocabulary " Sha County " is found in library.Judgment module 450 is by judging result to input
Method module is sent.
When the result that judgment module 450 judges is has found candidate corresponding with key character in dictionary after sequence
When vocabulary, judgment module 450 is also used to judge whether user inputs the candidate vocabulary corresponding with key character found.
When judgment module 450 judges the candidate vocabulary corresponding with key character that user's input has been found, input method
Module 440 is also used to the sequence in the dictionary according to candidate vocabulary after sequence, preferentially carries out to the preceding candidate vocabulary that sorts
Input display, the vocabulary inputted required for therefrom being selected for user.For example, current conversation type are as follows: in MSN with contact person
The session of Jack, the dictionary after sequence are as follows: vocabulary " Sha County ", " snack " preferentially arrange preceding dictionary.Input method module 340 will
It is associated in used MSN with the session of contact person Jack with the dictionary after sequence and is maintained at local.Work as when user reuses
Preceding input method inputs key character " sx " with the dialog box of the session of contact person Jack in MSN, to input vocabulary " Sha County ",
Input method module 440 calls the dictionary after sequence, and the key character " sx " inputted according to user by dictionary management module 430
When searching with key character " sx " corresponding vocabulary, judgment module 450 judges to have found in the dictionary after sequence and key
The corresponding candidate vocabulary of character, at this point, input method module 440 is according to candidate vocabulary corresponding with key character " sx " after sequence
Sequence in dictionary, the preferential preceding candidate vocabulary of display sequence: " Sha County ", " realization ", " first ", " familiar ", " camera shooting ",
" going to school " etc., so that user therefrom selects the vocabulary " Sha County " for needing to input.
When judgment module 450 judges that user does not input the candidate vocabulary corresponding with key character found, input
Method module 440 is also used to manage 430 modules by dictionary and calls default dictionary, and the row according to candidate vocabulary in default dictionary
Sequence preferentially carries out input to the preceding candidate vocabulary that sorts and shows, the vocabulary inputted required for therefrom selecting for user.
When the result that judgment module 450 judges is does not find time corresponding with key character in dictionary after sequence
When selecting vocabulary, input method module 440, which is also used to manage 430 modules by dictionary, calls default dictionary, and is existed according to candidate vocabulary
Default the sequence in dictionary, input preferentially is carried out to the preceding candidate vocabulary that sorts and is shown, required for therefrom being selected for user
The vocabulary of input.
For example, inputting keyword with the dialog box of contact person Jack in MSN when user reuses current input method
It accords with " sx ", when with input " sequence " this vocabulary, due to before in MSN and in the session information of the session of contact person Jack
It does not include vocabulary " sequence ", so, the dictionary after key character " sx " that input method module 404 is inputted according to user is in sequence
It is middle search it is corresponding with key character " sx " candidate vocabulary when, judgment module 450 judges not search in the dictionary after sequence
To candidate vocabulary corresponding with key character.At this point, input method module 440 receives the key character inputted according to user
" sx " finds candidate vocabulary corresponding with key character " sx ", according to candidate vocabulary in default dictionary in default dictionary
Sequence, the preferential preceding candidate vocabulary of display sequence: " realization ", " first ", " familiar ", " camera shooting ", " going to school ", " sequence "
Deng so that user therefrom selects the vocabulary " sequence " for needing to input.
Above scheme, by the session information for obtaining and parsing current sessions type and current sessions type, wherein meeting
The application message and the user information under the application message that call type includes session, to obtain current sessions type
Included vocabulary in session information, by the sequence of the vocabulary included by the session information after parse preceding, and
And be ranked up according to the frequency of occurrences of the vocabulary, the dictionary after being sorted, by by current sessions type and sequence
Dictionary association afterwards is stored in local, and dictionary and current sessions type association can get up, to make user using different
Conversation type when, respectively using the dictionary for binding this conversation type, shown candidate vocabulary when improving input key character
With the degree of correlation of key character, to improve user's input efficiency.
In above description, for illustration and not for limitation, propose such as specific system structure, interface, technology it
The detail of class, so as to provide a thorough understanding of the present application.However, it will be clear to one skilled in the art that there is no these specific
The application also may be implemented in the other embodiment of details.In other situations, omit to well-known device, circuit with
And the detailed description of method, so as not to obscure the description of the present application with unnecessary details.
Claims (6)
1. based on context method that one kind inputs, which is characterized in that described method includes following steps:
Obtain the session information of current sessions type, wherein the conversation type includes the application message of session and described
User information under application message；
The session information for parsing current sessions type, successively by character included in the session information of the current sessions type
It is compared with the vocabulary in default dictionary corresponding to current input method, institute in the session information to obtain current sessions type
Including vocabulary；
Vocabulary included in the session information is counted, and vocabulary included in the session information of current sessions type is made
The foremost that dictionary is defaulted corresponding to current input method is come, for an entirety with the dictionary after being sorted；
Dictionary association after the current sessions type and sequence is stored in local, for user reuse it is described current
The session of conversation type and when inputting key character, according to candidate vocabulary after the sequence with the current sessions type association
Sequence in dictionary preferentially carries out input to the preceding candidate vocabulary that sorts and shows；
Wherein, the vocabulary for counting included in the session information further includes the frequency of occurrences for counting the vocabulary, and according to institute
The frequency of occurrences that predicate converges is ranked up with the dictionary after being sorted, and step includes:
Vocabulary after statistics parsing included in the session information is sorted preceding；
Then, the frequency of occurrences of the vocabulary after statistics parsing；
It is ranked up from high to low according to the frequency of occurrences of the vocabulary, with the dictionary after being sorted.
2. the method according to claim 1, wherein the session information of parsing current sessions type is current to obtain
The step of included vocabulary, includes: in the session information of conversation type
Obtain the text information in the session information；
Every text information is parsed, sentence by sentence sequentially to obtain vocabulary included in the text information；
Record the vocabulary obtained after parsing.
3. the method according to claim 1, wherein before the step of obtaining the session information of current sessions type
Further include:
Judge whether it is the session for using current sessions type for the first time；
It is shown if it is, calling default dictionary and preferentially carrying out input to the preceding candidate vocabulary that sorts in default dictionary；
If it is not, then calling the dictionary after sequence and preferentially being carried out to the preceding candidate vocabulary that sorts in the dictionary after sequence defeated
Enter display.
4. a kind of mobile terminal, which is characterized in that the mobile terminal includes: to obtain module, vocabulary parsing module, dictionary management
Module, input method module；
The session information for obtaining module and being used to obtain current sessions type, wherein the conversation type includes answering for session
With information and the user information under the application message, the acquisition module is by the current sessions type and conversation type
Session information sent to the vocabulary parsing module；
The vocabulary parsing module is used to receive the session information of the current sessions type and conversation type, according to described current
The session information of conversation type and current sessions type parses the session information of current sessions type, by the current sessions class
Included character is successively compared with the vocabulary in default dictionary corresponding to current input method in the session information of type, with
Obtain vocabulary included in the session information of current sessions type, the vocabulary parsing module by the current sessions type and
Vocabulary after parsing is sent to the dictionary management module；
The dictionary management module is used to receive the vocabulary after the current sessions type and parsing, according to the word after the parsing
Converge the vocabulary for counting included in the session information, and using vocabulary included in the session information of current sessions type as
One entirety comes the foremost that dictionary is defaulted corresponding to current input method, with the dictionary after being sorted, the dictionary pipe
Reason module sends the dictionary after the current sessions type and sequence to the input method module；
The input method module is used to receive the dictionary after the current sessions type and sequence, according to the current sessions type
The dictionary after the current sessions type and sequence is associated with the dictionary after sequence and is stored in local, so that user makes again
When with the session of the current sessions type and inputting key character, according to candidate vocabulary with the current sessions type association
Sequence after dictionary in sequence, input preferentially is carried out to the preceding candidate vocabulary that sorts and is shown；
Wherein, the vocabulary parsing module is used to count the frequency of occurrences of the vocabulary after parsing, according to going out for the vocabulary
Existing frequency is ranked up from high to low, and the vocabulary after sequence is preferentially come in dictionary, with the dictionary after being sorted；
The vocabulary parsing module is used to count vocabulary included in the session information, and will be wrapped in the session information
The vocabulary sequence included is preceding, and the vocabulary parsing module is also used to count going out for vocabulary included in the session information
Existing frequency, and by the preceding vocabulary of sequence included in the session information, according to word included in the session information
The frequency of occurrences of remittance is ranked up, with the dictionary after being sorted.
5. mobile terminal according to claim 4, which is characterized in that the vocabulary parsing module is for obtaining the session
The text information of information sequentially parses every text information according to the text information sentence by sentence, to obtain the text
Included vocabulary in information, and record the vocabulary obtained after parsing.
6. mobile terminal according to claim 4, which is characterized in that the mobile terminal also further includes judgment module, institute
Judgment module is stated for judging whether it is the session for using current sessions type for the first time；
When the judgment module judging result, which is, is, the input method module is also used to call default dictionary and preferentially to silent
Recognize in dictionary the preceding candidate vocabulary that sorts and carry out input and shows；
When the judgment module judging result is no, the input method module is also used to call the dictionary after sequence simultaneously preferential right
The preceding candidate vocabulary that sorts in dictionary after sequence carries out input and shows；
The judgment module sends judging result to the input method module.
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| CN104331393A (en) * | 2014-05-06 | 2015-02-04 | 广州三星通信技术研究有限公司 | Equipment and method for providing option by aiming at input operation of user |
| CN104375663A (en) * | 2014-11-11 | 2015-02-25 | 广东欧珀移动通信有限公司 | Associating input method and device |
| CN104360759B (en) * | 2014-11-21 | 2017-03-08 | 百度在线网络技术（北京）有限公司 | Candidate word sort method, device and character input method, equipment |
| CN104932786A (en) * | 2015-06-02 | 2015-09-23 | 百度在线网络技术（北京）有限公司 | Method and device for presenting sequence of candidate words |
| CN107423277A (en) * | 2016-02-16 | 2017-12-01 | 中兴通讯股份有限公司 | A kind of expression input method, device and terminal |
| CN106708805A (en) * | 2016-12-30 | 2017-05-24 | 深圳天珑无线科技有限公司 | Text statistics-based psychoanalysis method and device |
| CN106886296A (en) * | 2017-02-15 | 2017-06-23 | 中国联合网络通信集团有限公司 | The treating method and apparatus of the dictionary of input method |
| CN107957789B (en) * | 2017-11-29 | 2020-04-28 | 维沃移动通信有限公司 | Text input method and mobile terminal |
| CN109683727B (en) * | 2018-12-26 | 2021-07-16 | 联想(北京)有限公司 | Data processing method and device |
| CN112631437A (en) * | 2020-12-25 | 2021-04-09 | 维沃移动通信有限公司 | Information recommendation method and device and electronic equipment |
| CN113360003B (en) * | 2021-06-30 | 2023-12-05 | 北京海纳数聚科技有限公司 | Intelligent text input method association method based on dynamic session scene |
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| CN101334774B (en) * | 2007-06-29 | 2013-08-14 | 北京搜狗科技发展有限公司 | Character input method and input method system |
| CN101571758A (en) * | 2009-06-04 | 2009-11-04 | 腾讯科技（深圳）有限公司 | Input method system, method and device thereof |
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