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CN104536976A - Associating input system based on Sudoku input mode - Google Patents

Associating input system based on Sudoku input mode Download PDF

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Publication number
CN104536976A
CN104536976A CN201410730934.0A CN201410730934A CN104536976A CN 104536976 A CN104536976 A CN 104536976A CN 201410730934 A CN201410730934 A CN 201410730934A CN 104536976 A CN104536976 A CN 104536976A
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CN
China
Prior art keywords
input
module
keyword
association
grids
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201410730934.0A
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Chinese (zh)
Inventor
姚红专
姚红岩
严荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SUZHOU WOSIMAI ELECTROMECHANICAL TECHNOLOGY Co Ltd
Original Assignee
SUZHOU WOSIMAI ELECTROMECHANICAL TECHNOLOGY Co Ltd
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Application filed by SUZHOU WOSIMAI ELECTROMECHANICAL TECHNOLOGY Co Ltd filed Critical SUZHOU WOSIMAI ELECTROMECHANICAL TECHNOLOGY Co Ltd
Priority to CN201410730934.0A priority Critical patent/CN104536976A/en
Publication of CN104536976A publication Critical patent/CN104536976A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023Arrangements 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
    • G06F3/0233Character input methods
    • G06F3/0237Character input methods using prediction or retrieval techniques

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Machine Translation (AREA)

Abstract

The invention discloses an associating input system based on a Sudoku input mode. The associating input system based on the Sudoku input mode comprises a memory word bank used for storing sampling input time and keywords in a sampling period, a classifying module used for classifying keywords in the memory word bank and setting a keyword weight value for each keyword, a monitoring module used for monitoring input operation and triggering the first finding module to work, the first finding module used for finding the corresponding time period of the current input time in the memory word bank and triggering a second finding module to work after confirming keywords to be matched, the second finding module used for finding associating words generated by the current input operation in the keywords to be matched and triggering a sorting module to work, and the sorting module used for sorting the associating word display according to the associating word number found by the second finding module.

Description

Based on the association input system of nine grids input pattern
Technical field
The invention belongs to intelligent input field, is more particularly a kind of association input system based on nine grids input pattern.
Background technology
Nine grids input pattern is generally first button for letter or punctuation mark, 26 letters distribute other at eight buttons, a button realizes the input of multiple letter, for the ease of user by input method input character, input method software can carry out intelligent association according to the character of user's input, so that provide association glossary to select for user.Such as, when user is by input method software input " H ", input method can be recommended " good ", " with ", the association glossary such as "or" is to user.
Most intelligent association input system adopts and carries out analyzing and processing to the history vocabulary of user's input, completes intelligent association, do not consider the demand that user is current, therefore carries out the accuracy of intelligent association according to history vocabulary relatively low.Therefore, how to predict the demand that user is current and the demand current according to user realizes intelligent association, improving the accuracy of intelligent association, is the problem needing solution badly.
Application number " 201210575949.5 ", denomination of invention " a kind of method and system improving input method accuracy degree of intelligent association the invention discloses a kind of method and system improving input method accuracy degree of intelligent association; the method comprises: input method engine obtains the dictionary attribute of input frame, and reset the phrase priority in input method engine dictionary according to the dictionary attribute of described input frame; Input method engine, according to described phrase priority, exports the phrase matched with user input content and selects for user.After the present invention obtains the dictionary attribute of input frame by input method engine, the phrase priority in input method engine dictionary is reset according to the dictionary attribute of input frame, then according to described phrase priority, export the phrase matched with user input content to select for user, owing to finally to export and the priority of the relevant phrase shown has done rearrangement in advance, incoherent phrase is excluded, thus substantially increases input speed and the satisfaction of user.
Application number: 201410332524.0, the method for a kind of input method intelligent association of denomination of invention and device, the present invention relates to intelligent input technique field, discloses a kind of method and device of input method intelligent association.Described method comprises: according to the character information in current interface, and analyze the semantic environment residing for input method, wherein this input method comprises at least two dictionaries; Semantic environment residing for input method, determines the priority of at least two dictionaries that this input method comprises; When detect by input method, input operation is performed to current interface time, according to the character of user's input, from the highest dictionary of priority, preferentially obtain the association glossary corresponding with the character that user inputs recommend user.The accuracy of input method intelligent association can be improved by method of the present invention.
Above-mentioned two kinds of methods are all the recommendations that priority by arranging dictionary carries out association glossary, but this method cannot realize accurately reminding according to the input linguistic context of certain time period of user.
Summary of the invention
Technical matters to be solved by this invention is: provide a kind of association input system based on nine grids input pattern, this system is remitted according to the context word that different time sections user generates and is arranged phrase library for temporary memory, then according to judging the association glossary that the character of current preferential recommendation user input input time is corresponding.
In order to solve the problems of the technologies described above, based on the association input system of nine grids input pattern, comprise
Phrase library for temporary memory, for input time of sampling in the store sample cycle and keyword;
Classifying module, for sorting out the keyword in phrase library for temporary memory, and arranges keyword weighted value for each keyword;
Monitoring module, searches module work for monitoring input operation triggering first;
First searches module, for searching the time period of the current input time of correspondence in phrase library for temporary memory, triggering second and searching module work after determining keyword to be matched;
Second searches module, triggers order module work for searching the quantity that there is the associational word that current input operation produces in keyword to be matched;
Order module, according to second search module searches to associational word quantity associational word DISPLAY ORDER is sorted.
Preferred version further, the present invention is based in the association input system of nine grids input pattern, and the described employing cycle is one week.
Preferred version further, the present invention is based in the association input system of nine grids input pattern, is classified as a class in classifying module according to the keyword of same time period.
Preferred version further, the present invention is based in the association input system of nine grids input pattern, second search the associational word quantity found in module comprise zero, one or at least two.
Preferred version further, the present invention is based in the association input system of nine grids input pattern, and the keyword weighted value arabic numeral in classifying module represent.
Preferred version further, the present invention is based in the association input system of nine grids input pattern, and the number of times that the keyword weighted value larger expression keyword in classifying module occurs is more.
Compared with prior art, the present invention has following beneficial effect: this system first arranges phrase library for temporary memory, and the keyword in phrase library for temporary memory is sorted out according to the time period by recycling classifying module; Monitoring module monitoring input operation, first searches module determines keyword to be matched by the time period of searching the current input time of correspondence in phrase library for temporary memory, by the quantity of searching all associational words that current input operation produces in keyword to be matched, second searches module determines that order module is to associational word display sequence, the associational word of preferential recommendation.This system can realize with time period be condition input linguistic context under the preferential recommendation of associational word.
Embodiment
Based on the association input system of nine grids input pattern, comprise
Phrase library for temporary memory, for input time of sampling in the store sample cycle and keyword;
Classifying module, for sorting out the keyword in phrase library for temporary memory, and arranges keyword weighted value for each keyword;
Monitoring module, searches module work for monitoring input operation triggering first;
First searches module, for searching the time period of the current input time of correspondence in phrase library for temporary memory, triggering second and searching module work after determining keyword to be matched;
Second searches module, triggers order module work for searching the quantity that there is the associational word that current input operation produces in keyword to be matched;
Order module, according to second search module searches to associational word quantity associational word DISPLAY ORDER is sorted.
This system first arranges phrase library for temporary memory, and the keyword in phrase library for temporary memory is sorted out according to the time period by recycling classifying module; Monitoring module monitoring input operation, first searches module determines keyword to be matched by the time period of searching the current input time of correspondence in phrase library for temporary memory, by the quantity of searching all associational words that current input operation produces in keyword to be matched, second searches module determines that order module is to associational word display sequence, the associational word of preferential recommendation.
Embodiment
Based on the association input system of nine grids input pattern, comprise
Phrase library for temporary memory, for input time of sampling in the store sample cycle and keyword, the employing cycle is one week;
Classifying module, for sorting out according to the same time period the keyword in phrase library for temporary memory, and arranges keyword weighted value for each keyword, and keyword weighted value arabic numeral represent;
Monitoring module, searches module work for monitoring input operation triggering first;
First searches module, for searching the time period of the current input time of correspondence in phrase library for temporary memory, triggering second and searching module work after determining keyword to be matched;
Second searches module, triggers order module work for searching the quantity that there is the associational word that current input operation produces in keyword to be matched;
Order module, according to second search module searches to associational word quantity associational word DISPLAY ORDER is sorted.
In native system, the number of times that keyword weighted value larger expression keyword in classifying module occurs is more, second search the associational word quantity found in module comprise zero, one or at least two.
In order to further describe the association input system that the present invention is based on nine grids input pattern, proposing a kind of association-feeding method based on nine grids input pattern, comprising the following steps:
Step 1, phrase library for temporary memory is set, is specially: sample to input information within a sampling period, sample content comprises input time and keyword, by input time and keyword corresponding stored in phrase library for temporary memory;
Step 2, the keyword in phrase library for temporary memory to be sorted out; The keyword of time period same in phrase library for temporary memory is classified as a class, using the time period as the index list of each class, keyword weighted value is set according to the occurrence number of keyword simultaneously;
Step 3, monitoring nine grids input operation, judge the time period that current input time is corresponding in phrase library for temporary memory, using all keywords of class belonging to this time period as keyword to be matched, performs step 4;
Step 4, search the quantity that there is the associational word that current input operation produces in keyword to be matched, if do not exist, show all associational words according to association input system, if only there is an associational word, then perform step 5; If when there are two or more, then step 6;
Step 5, this associational word is arranged in first as preferential input word, the randomly ordered mode of all the other associational words shows;
Step 6, the mode that multiple associational word carries out sorting according to its keyword weighted value in phrase library for temporary memory to be shown.
The method first arranges phrase library for temporary memory, is sorted out by the keyword in phrase library for temporary memory according to the time period; Monitoring input operation, judging that the time period of correspondence in phrase library for temporary memory current input time determines keyword to be matched, determining the associational word of preferential recommendation by searching in keyword to be matched the quantity that whether there are all associational words that current input operation produces.
Obviously, the above embodiment of the present invention is only for example of the present invention is clearly described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description.Here exhaustive without the need to also giving all embodiments.And these belong to connotation of the present invention the apparent change of extending out or variation still belong to protection scope of the present invention.

Claims (6)

1. based on the association input system of nine grids input pattern, it is characterized in that, comprise
Phrase library for temporary memory, for input time of sampling in the store sample cycle and keyword;
Classifying module, for sorting out the keyword in phrase library for temporary memory, and arranges keyword weighted value for each keyword;
Monitoring module, searches module work for monitoring input operation triggering first;
First searches module, for searching the time period of the current input time of correspondence in phrase library for temporary memory, triggering second and searching module work after determining keyword to be matched;
Second searches module, triggers order module work for searching the quantity that there is the associational word that current input operation produces in keyword to be matched;
Order module, according to second search module searches to associational word quantity associational word DISPLAY ORDER is sorted.
2. according to claim 1 based on the association input system of nine grids input pattern, it is characterized in that, the described employing cycle is one week.
3. according to claim 1 based on the association input system of nine grids input pattern, it is characterized in that, in classifying module, be classified as a class according to the keyword of same time period.
4., according to claim 1 based on the association input system of nine grids input pattern, it is characterized in that, second search the associational word quantity found in module comprise zero, one or at least two.
5. according to claim 1 based on the association input system of nine grids input pattern, it is characterized in that, the keyword weighted value arabic numeral in classifying module represent.
6. according to claim 5 based on the association input system of nine grids input pattern, it is characterized in that, the number of times that the keyword weighted value larger expression keyword in classifying module occurs is more.
CN201410730934.0A 2014-12-05 2014-12-05 Associating input system based on Sudoku input mode Withdrawn CN104536976A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108874175A (en) * 2018-06-20 2018-11-23 北京百度网讯科技有限公司 A kind of data processing method, device, equipment and medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1452083A (en) * 2002-04-16 2003-10-29 富士通株式会社 Character information transformation processing system
CN101216854A (en) * 2008-01-15 2008-07-09 腾讯科技(深圳)有限公司 Computer words input method and system and its word library maintenance method and device
CN101308444A (en) * 2008-06-26 2008-11-19 无敌科技(西安)有限公司 Input device and method capable of adjusting candidate word
CN101989128A (en) * 2009-08-03 2011-03-23 北京搜狗科技发展有限公司 Method and device for showing candidate words in fixed position
US20110080346A1 (en) * 2008-06-02 2011-04-07 Changho Cha Letter input device and mobile terminal including the same
CN102346560A (en) * 2010-07-29 2012-02-08 腾讯科技(深圳)有限公司 Method and device for adjusting candidate word sequence in input method
CN103376909A (en) * 2012-04-19 2013-10-30 腾讯科技(深圳)有限公司 Method and system of adjusting sequence of candidate characters in use of input methods

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1452083A (en) * 2002-04-16 2003-10-29 富士通株式会社 Character information transformation processing system
CN101216854A (en) * 2008-01-15 2008-07-09 腾讯科技(深圳)有限公司 Computer words input method and system and its word library maintenance method and device
US20110080346A1 (en) * 2008-06-02 2011-04-07 Changho Cha Letter input device and mobile terminal including the same
CN101308444A (en) * 2008-06-26 2008-11-19 无敌科技(西安)有限公司 Input device and method capable of adjusting candidate word
CN101989128A (en) * 2009-08-03 2011-03-23 北京搜狗科技发展有限公司 Method and device for showing candidate words in fixed position
CN102346560A (en) * 2010-07-29 2012-02-08 腾讯科技(深圳)有限公司 Method and device for adjusting candidate word sequence in input method
CN103376909A (en) * 2012-04-19 2013-10-30 腾讯科技(深圳)有限公司 Method and system of adjusting sequence of candidate characters in use of input methods

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108874175A (en) * 2018-06-20 2018-11-23 北京百度网讯科技有限公司 A kind of data processing method, device, equipment and medium

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