JP5861382B2 - Input support program, input support apparatus, and input support method - Google Patents

Description

  The present invention relates to an input support program, an input support apparatus, and an input support method.

  Conventionally, software that has a dictionary (hereinafter referred to as “sentence dictionary”) in which sentence examples are recorded in association with readings, and presents a list of sentence examples corresponding to the readings as input candidates in accordance with the input of the readings ( Hereinafter, it is referred to as “sentence example input software”. The sentence example is a word or a chain of a plurality of words.

  The convenience of the sentence example input software largely depends on the display order of the input candidate sentence examples. For example, if a sentence example with high usage frequency is displayed at the top, the user is more likely to find a desired sentence example at the top of the input candidates, and the convenience of the sentence example input software is improved.

  Therefore, conventionally, the number of times selected from sentence examples displayed according to the input of reading is recorded for each sentence example, and the display order of input candidates is determined according to the number of times. Yes.

JP-A-6-124301 JP 2006-338588 A

  However, there are cases where the user directly inputs the same character string as the sentence example without being aware of the presence even though the desired sentence example is included in the input candidates. If such a case repeats, a state may occur in which the input candidate is not easily displayed in the higher order in the display order of the input candidates even though the sentence is actually used frequently.

  Therefore, an object of one aspect is to provide an input support program, an input support apparatus, and an input support method that can improve operability related to selection of sentence examples from input candidates displayed based on a sentence example dictionary.

  In one plan, the input support program extracts a sentence example from a character string input without selecting a sentence example stored in the storage unit in association with reading, and is extracted from the sentence examples stored in the storage unit. For a sentence example that matches a sentence example, the computer causes the computer to execute a process for increasing the number of times the storage unit stores each sentence example.

  According to one aspect, it is possible to improve the operability related to the selection of sentence examples from input candidates displayed based on the sentence example dictionary.

It is a figure which shows the hardware structural example of the input assistance apparatus in embodiment of this invention. It is a figure which shows the function structural example of the input assistance apparatus in embodiment of this invention. It is a flowchart for demonstrating an example of the process sequence which an input assistance part performs. It is a flowchart for demonstrating an example of the process sequence of a sentence example list display process. It is a figure which shows the structural example of a sentence example dictionary. It is a flowchart for demonstrating an example of the process sequence of a sentence example input process. It is a flowchart for demonstrating an example of a character string analysis process. It is a figure which shows an example of the character string memorize | stored in the input character buffer. It is a figure which shows the memory | storage example of the extracted sentence example in a registration sentence example buffer. It is a flowchart for demonstrating an example of the process sequence of the determination process of the addition value of the use frequency. It is a figure which shows the structural example of a condition memory | storage part.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating a hardware configuration example of an input support apparatus according to an embodiment of the present invention. The input support device 10 in FIG. 1 includes a drive device 100, an auxiliary storage device 102, a memory device 103, a CPU 104, an interface device 105, a display device 106, an input device 107, and the like that are mutually connected by a bus B.

  A program that realizes processing in the input support apparatus 10 is provided by the recording medium 101. When the recording medium 101 on which the program is recorded is set in the drive device 100, the program is installed from the recording medium 101 to the auxiliary storage device 102 via the drive device 100. However, the program need not be installed from the recording medium 101 and may be downloaded from another computer via a network. The auxiliary storage device 102 stores the installed program and also stores necessary files and data.

  The memory device 103 reads the program from the auxiliary storage device 102 and stores it when there is an instruction to start the program. The CPU 104 realizes functions related to the input support device 10 according to a program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network. The display device 106 displays a GUI (Graphical User Interface) or the like by a program. The input device 107 is a keyboard, a mouse, or the like, and is used for inputting various operation instructions.

  An example of the recording medium 101 is a portable recording medium such as a CD-ROM, a DVD disk, or a USB memory. An example of the auxiliary storage device 102 is an HDD (Hard Disk Drive) or a flash memory. Both the recording medium 101 and the auxiliary storage device 102 correspond to computer-readable recording media.

  FIG. 2 is a diagram illustrating a functional configuration example of the input support apparatus according to the embodiment of the present invention. In FIG. 1, an input support apparatus 10 includes an editing unit 11, a conversion unit 12, an input support unit 13, and the like.

  The editing unit 11 displays, generates, and edits the document data D in accordance with a user instruction input via the input device 107. The editing unit 11 is realized, for example, by processing executed by the CPU 104 by word processing software or the like.

  The conversion unit 12 performs kana-kanji conversion on characters input to the document data D. The conversion unit 12 is an example of character input software called IME (Input Method Editor) or FEP (Front End Processor), and is realized by a process executed by the CPU 104 by the Kana-Kanji conversion software.

  The input support unit 13 supports input of a character string into the document data D. The input support unit 13 displays a list of sentence examples as input candidates in response to input of a reading or an unconfirmed character string. The input support unit 13 inputs (or expands) the sentence example selected from the list into the document data D.

  In the figure, the input support unit 13 includes an event monitoring unit 131, a sentence example extraction unit 132, a dictionary update unit 133, a sentence example search unit 134, a display order determination unit 135, a sentence example list display unit 136, a sentence example input unit 137, and a sentence example dictionary storage. Unit 141, condition storage unit 142, and the like. The sentence dictionary storage unit 141 and the condition storage unit 142 can be realized using, for example, a storage device connected to the auxiliary storage device 102 or the input support device 10 via a network.

  The sentence example dictionary storage unit 141 stores a sentence example dictionary. The sentence example dictionary is data in which the sentence example and the number of times the sentence example is used are recorded in association with the reading of the sentence example. In the present embodiment, a sentence example refers to a character string that is a constituent element of a sentence, such as a word or one or more clauses, or a character string that includes a set of one or more sentences.

  The event monitoring unit 131 monitors input events that occur in the input support device 10 and detects character input and the like. The input event refers to an event input by the user using the input device 107, for example.

  The sentence example extraction unit 132 extracts a sentence example from the input character string. For example, morphological analysis is used to extract sentence examples.

  The dictionary update unit 133 updates the sentence example dictionary. For example, the dictionary updating unit 133 registers a new sentence example in the sentence example dictionary, or updates the number of times the sentence example displayed as an input candidate and selected from the sentence examples is used. The number of times of use is recorded for each sentence example in the sentence example dictionary, and is information used to determine the display order of the sentence examples. The dictionary updating unit 133 also matches the sentence example extracted by the sentence example extracting unit 132 as well as the sentence example selected from the sentence examples displayed as the input candidates, and the condition storage unit 142 stores the conditions. The usage count is also updated for the matching sentence example. The condition storage unit 142 stores a condition for increasing the number of uses for a sentence example that matches the sentence example extracted by the sentence example extraction unit 132.

  The sentence example search unit 134 searches the sentence example dictionary storage unit 141 for a sentence example corresponding to the character in response to the input of the character. The display order determining unit 135 determines the display order when displaying the sentence examples searched by the sentence example searching unit 134 as input candidates. The sentence example list display unit 136 displays, as input candidates, a list of a plurality of sentence examples searched by the sentence example search unit 134 according to the display order determined by the display order determination unit 135. The sentence example input unit 137 inputs (expands) the sentence example selected from the displayed list of sentence examples to the document data D to be edited by the editing unit 11.

  Hereinafter, a processing procedure executed by the input support apparatus 10 will be described. FIG. 3 is a flowchart for explaining an example of a processing procedure executed by the input support unit.

  For example, when the input support unit 13 is activated as a process, the event monitoring unit 131 of the input support unit 13 starts monitoring input events that occur in the input support device 10 (S101). When any input event is detected by the event monitoring unit 131 (Yes in S101), the input support unit 13 executes processing according to the input event.

  When the detected input event is a character input event (Yes in S102), the input support unit 13 performs a sentence example list display process based on the input character string (may be one character). (S103). By executing the sentence example list display process, a list of sentence examples corresponding to the character string is displayed on the display device 106 as input candidates for the document data D. A character input event is an event that occurs in response to a character input.

  If the detected input event is a character string confirmation event (Yes in S104), the event monitoring unit 131 records the confirmed character string in the input character buffer (S105). The input character buffer is a storage area for storing a character string input and confirmed in the memory device 103, for example.

  The character string confirmation event refers to an event indicating input confirmation regarding an unconfirmed character string, for example, an event that occurs in response to pressing of the return key in a state where an unconfirmed character string is displayed. However, when the input mode or input character type of the conversion unit 12 is a half-width character such as a half-width katakana or a half-width alphanumeric character, the input of the half-width character itself corresponds to a character string confirmation event. This is because half-width characters become a fixed character string when they are input. Therefore, in the case of single-byte characters, a character string confirmation event is generated character by character. The undetermined character string refers to a character or character string in which the input character or character string is a conversion target by the conversion unit 12 and input is not confirmed.

  Note that the character string confirmation event is normally detected following the character input event. For example, when an undetermined character string is input, a character input event is detected. When the unconfirmed character string is confirmed, a character string confirmation event is detected. In addition, when a character that has been confirmed from the beginning, such as a single-byte character, is input, a character input event is detected, and subsequently a character string determination event is detected.

  When the detected input event is a sentence example selection event (Yes in S106), the sentence example input unit 137 executes a sentence example input process (S107). By executing the sentence example input process, a sentence example selected from the sentence example list displayed by the sentence example list display process is input (expanded) to the document data D. The sentence example selection event is an event that occurs when a sentence example is selected from the sentence example list.

  If the detected input event is a character string input completion event (Yes in S108), the input support unit 13 performs a character string analysis process on the character string stored in the input character buffer (S109). The character string input completion event is an event indicating completion of inputting a character string in a predetermined unit. In the present embodiment, it is assumed that the character string input completion event is an input of a line feed code. That is, every time a line break is made, a character string input completion event occurs.

  Subsequently, the event monitoring unit 131 initializes the input character buffer (S110). That is, the input character buffer becomes empty. Thus, the input character buffer is emptied each time a line break is made.

  If the detected input event is an end event (Yes in S111), the process of the input support unit 13 ends. The end event is an event that occurs in response to an input of an end instruction to the input support unit 13.

  When the input event is an event other than the above (No in S111), the input support unit 13 executes a process corresponding to the event as necessary (S112).

  Next, details of step S103 will be described. FIG. 4 is a flowchart for explaining an example of a processing procedure of the sentence example list display process.

  In step S <b> 201, the sentence example search unit 134 searches a sentence example corresponding to the input character string from the sentence example dictionary stored in the sentence example dictionary storage unit 141.

  FIG. 5 is a diagram illustrating a configuration example of a sentence example dictionary. In FIG. 5, the sentence example dictionary includes reading and use counts for each sentence example.

  A reading is a reading of a sentence example. The number of uses is the number of times the sentence example has been used (selected as an input target). In the present embodiment, the number of uses is the cumulative number of times the sentence example has been used. However, it may be the number of times the sentence example has been used in a predetermined period in the past (for example, the past several days).

  In step 201, the sentence example corresponding to the input character string is a sentence example that matches the character string to which the reading corresponding to the sentence example is input, or the input character string is an undetermined character string. The sentence example itself is a sentence example that matches the undetermined character string. The reading that matches the input character string is, for example, a reading that includes the input character string from the beginning. The case where the input character string and the reading completely match is also included, and the case where the first part of the reading matches the input character string is also included. Moreover, the sentence example suitable for an undetermined character string means the sentence example which contains an undetermined character string from the head, for example. The case where the undetermined character string and the sentence example completely match is included, and the case where the first part of the sentence example matches the undetermined character string is also included.

  When the corresponding sentence example is searched (Yes in S202), the display order determination unit 135 determines the display order of each sentence example based on the number of times each searched sentence example is used (S203). For example, the display order determination unit 135 sorts the retrieved sentence examples in descending order of the number of uses.

  Subsequently, the sentence example list display unit 136 causes the display device 106 to display a list of searched sentence examples as input candidates in the determined display order (S204).

  Next, details of step S107 in FIG. 3 will be described. FIG. 6 is a flowchart for explaining an example of the processing procedure of the sentence example input process.

  In step S <b> 301, the sentence example input unit 137 inputs a sentence example selected from the list of sentence examples displayed as input candidates to the document data D that is to be edited by the editing unit 11. Subsequently, the dictionary updating unit 133 adds 1 to the number of uses recorded in the sentence example dictionary for the selected sentence example (S302).

  In this way, each time a sentence example is selected, the number of times the sentence example is used increases. As a result, there is a high possibility that sentence examples with high usage frequency will be displayed above the input candidates.

  Next, details of step S109 in FIG. 3 will be described. FIG. 7 is a flowchart for explaining an example of the character string analysis processing. 7 is executed when the input of the character string is continued and a line feed is made without selecting the sentence example from the list of sentence examples displayed in response to the input of the character string. .

  In step S401, the sentence example extraction unit 132 extracts a sentence example from the character string by performing analysis such as morphological analysis on the character string stored in the input character buffer.

  FIG. 8 is a diagram illustrating an example of a character string stored in the input character buffer. The input character buffer stores a character string directly input by the user before a line feed is made. “Directly input by the user” means input without selection of a sentence example. As shown in FIG. 8, in this embodiment, it is assumed that a character string “Thank you very much. Yamada for medical information processing” is stored in the input character buffer. Hereinafter, the character string stored in the input character buffer is referred to as an “input character string”.

  The sentence example extraction unit 132 stores the sentence example extracted from the input character string in the registered sentence example buffer. The registered sentence example buffer is a storage area for storing, for example, an extracted sentence example in the memory device 103. The extracted sentence example is hereinafter referred to as “extracted sentence example”.

  FIG. 9 is a diagram illustrating a storage example of the extracted sentence example in the registered sentence example buffer. In FIG. 9, one line corresponds to one sentence example. Therefore, FIG. 9 shows an example in which nine sentence examples are extracted.

  In the registered sentence example buffer, a part of speech is assigned to each sentence example and stored for each word included in the sentence example. The part of speech of each word is specified in the process of morphological analysis of the input character string, for example.

  Subsequently, the dictionary updating unit 133 determines whether or not there is a sentence example in the registered sentence example buffer (S402). When there is a sentence example in the registration buffer (Yes in S402), the dictionary updating unit 133 sets one sentence example as a processing target (S403). Hereinafter, a sentence example that is a processing target is referred to as a “target sentence example”.

  Subsequently, the dictionary updating unit 133 determines whether or not the target sentence example is unregistered in the sentence example dictionary (S404). If the target sentence example is not registered in the sentence example dictionary (Yes in S404), the dictionary updating unit 133 registers the target sentence example and its reading in the sentence example dictionary (S405). At this time, “1” is recorded as the number of uses of the target sentence example.

  When a sentence example that matches the target sentence example has already been registered in the sentence example dictionary (No in S404), the dictionary update unit 133 performs a process of determining an addition value (count-up number) for the number of times the sentence example that matches the target sentence example is used. (S405). Details of the determination process will be described later.

  As a result of the addition value determination process, when the addition value is “0” (No in S407), the dictionary update unit 133 repeats Step S403 and the subsequent steps. When the added value is “1” or more (Yes in S407), the dictionary updating unit 133 adds the added value to the number of times of using the sentence example that matches the target sentence example in the sentence example dictionary (S408).

  Next, details of step S405 will be described. FIG. 10 is a flowchart for explaining an example of the processing procedure of the determination process of the added value of the number of uses. Note that the target sentence example in the description of FIG. 10 matches the target sentence example in the step S405 in FIG.

  In step S501, the dictionary update unit 133 counts the number N1 of sentence examples that match the target sentence example in the registered sentence example buffer (S502). For example, in the registered sentence example buffer shown in FIG. 9, regardless of which sentence example is the target sentence example, the sentence example that matches the target sentence example is one of the target sentence examples themselves. Therefore, regarding the registered sentence example buffer, the value of N1 is 1 regardless of which sentence example is the target sentence example.

  For example, if the input character string is “Mr. Sato of medical information processing, good work. Yamada of medical information processing”, and the target sentence example is “medical information processing”, the value of N1 is 2. Become.

  Subsequently, the dictionary updating unit 133 determines whether or not “sentence examples constituting all consecutive nouns” is valid as a condition in the condition storage unit 142 (S502).

  FIG. 11 is a diagram illustrating a configuration example of the condition storage unit. In FIG. 11, the condition storage unit 142 stores the necessity of determination for each condition corresponding to the addition target of the usage count. The necessity of determination is information indicating the necessity of determination of the condition, that is, the validity of the condition. “◯” indicates that determination is necessary (effective). “X” indicates that determination is unnecessary (invalid).

  In FIG. 11, the first condition “sentence examples including only nouns” refers to consecutive sentence examples of one or more nouns. Of the example sentences shown in FIG. 9, the third (medical information processing), the fourth (medical information), the fifth (information processing), the sixth (medical information), the seventh (information), the eighth (processing), and The ninth sentence (Yamada) matches the condition. However, in the example of FIG. 11, since the necessity of the determination of the sentence example is “x”, the condition is not a determination target in the present embodiment.

  The second condition “sentence example surrounded by left and right symmetrical symbols” is a sentence example surrounded by left and right target symbols such as parentheses. It can be said that a symmetrical symbol is a symbol in which two characters function as a pair.

  The third condition “sentence examples including other than nouns” is a sentence example that is not a single noun or a series of nouns alone. Of the sentence examples shown in FIG. 9, the first (Thank you for your work) and second (Yamada) sentence examples meet the conditions.

  The fourth condition “sentence example constituting all of a series of nouns” refers to a sentence example constituting the entire range from the start to the end of a noun series. For example, in FIG. 9, “medical information processing” matches the condition. This is because “medical information processing” constitutes the entire continuous range of the noun “medical information processing”. On the other hand, “medical information”, “information processing”, “medical”, “information”, and “processing” all constitute only a part of the noun sequence “medical information processing”. Therefore, these sentence examples do not meet the conditions.

  Rather than increasing the number of uses of all sentence examples that match the extracted sentence examples, the number of use additions is limited to sentence examples that match the conditions stored in the condition storage unit 142, so that It can be limited to sentence examples with high utility value. The “reuse value” here means that the contribution to the reduction of the input burden of the character string is large.

  For example, the setting of the condition “sentence examples constituting all of a series of nouns” is based on the following idea. Basically, the longer the example sentence, the higher the reuse value. Even if each noun included in the “sentences that compose all of a series of nouns” is included in the number of times of use, “sentences that compose all of a series of nouns” are quite high in input candidates. It may not be displayed. Some nouns or a series of nouns in “an example sentence that constitutes a whole sequence of nouns” are likely to be included in another “an example sentence that constitutes a whole series of nouns”. This is because it is considered that there will be many opportunities to increase the number of times the sentence example that matches the above is used. By enabling the condition of “sentence examples that compose all of a series of nouns”, there is a higher possibility that the above inconveniences can be resolved, and the possibility that a sentence example with high reuse value will be displayed at the top of the input candidates Can be increased.

  Also, if you can select “sentence examples surrounded by left-right symmetric symbols” from among the input candidates, you can add only one (left side) of left-right symmetric symbols and add them to the character string surrounded by the symbols. The input of the other symbol can also be omitted. From this point of view, “sentence examples surrounded by symmetrical symbols” can be added to the number of times of use, thereby increasing the possibility that a sentence example having a high reuse value will be displayed above the input candidates. .

  When “sentence examples constituting all of a series of nouns” is valid as a condition (Yes in S502), the dictionary update unit 133 determines whether the target sentence example is a continuation of nouns (S503). That is, it is determined whether the target sentence example is a sentence example including only two or more nouns. Steps S503 to S506 are processes for determining whether or not the target sentence example corresponds to “sentence examples constituting all consecutive nouns”.

  When the target sentence example is a series of nouns (Yes in S503), the dictionary updating unit 133 counts the number N2 of sentence examples partially including the target sentence example in the registered sentence example buffer (S504). A sentence example partially including a target sentence example refers to a sentence example including a target sentence example and including one or more other characters. For example, in the registered sentence example buffer shown in FIG. 9, when the third sentence example “medical information processing” is a target sentence example, there is no sentence example that partially includes the sentence example. Therefore, in this case, the value of N2 is 0. On the other hand, when the fourth sentence example “medical information” is a target sentence example, the third sentence example “medical information processing” is a sentence example including the target sentence example. Therefore, in this case, the value of N2 is 1.

  Subsequently, the dictionary updating unit 133 sets the calculation result of N1-N2 as an addition value (S504). For example, when the third sentence example “medical information processing” is the target sentence example, N1−N2 = 1−0 = 1. On the other hand, when the fourth sentence example “medical information” is a target sentence example, N1−N2 = 1−1 = 0.

  Subsequently, the dictionary updating unit 133 determines whether or not the added value is greater than 0 (S506). That is, when the added value is larger than 0, it is determined that the target sentence example corresponds to “sentence examples constituting all of a series of nouns”. In this case, the added value corresponds to the number of appearances of the target sentence example in the input character string.

  It should be noted that whether or not each extracted sentence example corresponds to “a sentence example constituting all of a series of nouns” may be determined at the time of sentence example extraction (S401), that is, at the time of execution of a morphological analysis or the like on an input character string. . At the time of execution of morphological analysis, it is possible to easily determine whether or not the extracted sentence examples correspond to “sentence examples constituting all of a series of nouns” in the process of the analysis. In this case, with respect to the sentence examples determined to correspond to “sentence examples constituting all of a series of nouns”, for example, flag information indicating that “sentence examples constituting all of a series of nouns” in a registered sentence example buffer May be given. In the process of FIG. 10, when the flag information is assigned to the target sentence example, instead of steps S <b> 503 to S <b> 506, a sentence example that matches the target sentence example in the registered sentence example buffer and is assigned the flag information. It is only necessary to execute a process using the number of

  On the other hand, if “sentence examples constituting all of a series of nouns” is not valid as a condition (No in S502), if the target sentence examples are not continuous nouns (No in S503), or the target sentence examples are “all consecutive nouns” If it is not “sentence example that constitutes” (No in S506), the dictionary updating unit 133 determines whether or not the subject sentence example matches other valid conditions (S507). The valid condition is a condition in which the value of “necessity of determination” is “◯” in the condition storage unit 142 (FIG. 11). In the condition storage unit 142 of the present embodiment, each condition has an OR (logical sum) relationship. Therefore, it is determined whether or not any one condition stored in the condition storage unit 142 is met. However, the conditions in the condition storage unit 142 may be set on the assumption that the relationship between the conditions is an AND (logical product) relationship.

  When the target sentence example matches one of the valid conditions (Yes in S507), the dictionary updating unit 133 sets the value of N1 as an added value (S508). On the other hand, when the target sentence example does not match any of the valid conditions (No in S507), the dictionary updating unit 133 sets 0 as an added value (S508).

  Following step Yes in step S506, step S508, or step S509, the dictionary updating unit 133 deletes the same sentence example as the target sentence example from the registered sentence example buffer (S510). When there are a plurality of sentence examples identical to the target sentence example in the registered sentence example buffer, the number of appearances of the same sentence example is already included in the added value. Accordingly, step S510 is executed in order to avoid duplication of addition of the number of uses based on the same sentence example.

  As a result of the processing of FIG. 10, in this embodiment, 1 is added to the number of times of use of the sentence example “medical information processing” among the sentence examples registered in the sentence example dictionary of FIG. If “sentence examples including nouns” are valid as a condition, among the example sentences registered in the example dictionary in FIG. 5, “Thank you very much”, “I am Yamada”, “Yamada for medical information processing” 1 is added to the number of uses of each sentence example. Note that “I am Yamada of medical information processing.” Is not included in the registered sentence example buffer in FIG. 9, but is omitted for convenience. That is, the registered sentence example buffer in FIG. 9 does not necessarily list all sentence examples extracted from the input character string shown in FIG.

  In the example of FIG. 11, an example is shown in which the condition for which the number of usages is to be added (that is, the positive condition) is stored in the condition storage unit 142, but the condition for which the number of usages is not to be added ( That is, the negative condition) may be stored in the condition storage unit 142. In this case, the addition value of the sentence example that satisfies the passive condition may be 0.

  As described above, according to the present embodiment, not only the sentence examples selected from the sentence examples displayed as input candidates, but also the characters that are directly input (typed in from the keyboard) without selection of the sentence examples. The usage count is also added to a sentence example that matches the sentence example extracted from the column. Therefore, for example, although it is displayed as a candidate for input, it is displayed at the lower level, so it is a character string that the user did not notice that it was displayed and matches the character string that the user frequently inputs The sentence example to be displayed can be displayed at the top of the input candidates. As a result, there is a high possibility that a sentence example that is frequently input by the user is displayed at the top of the input candidates, and the operability related to the selection of the sentence examples from the input candidates can be improved.

  In the present embodiment, the sentence example extraction unit 132 is an example of an extraction unit. The dictionary update unit 133 is an example of an increase unit.

  As mentioned above, although the Example of this invention was explained in full detail, this invention is not limited to such specific embodiment, In the range of the summary of this invention described in the claim, various deformation | transformation・ Change is possible.

DESCRIPTION OF SYMBOLS 10 Input support apparatus 11 Editing part 12 Conversion part 13 Input support part 100 Drive apparatus 101 Recording medium 102 Auxiliary storage apparatus 103 Memory apparatus 104 CPU
105 interface device 106 display device 107 input device 131 event monitoring unit 132 sentence example extraction unit 133 dictionary update unit 134 example search unit 135 display order determination unit 136 example list display unit 137 example input unit 141 example dictionary storage unit 142 condition storage unit B bus

Claims (8)

Extract the sentence example from the input character string without selecting the sentence example stored in the storage unit in association with the reading,
Of the sentence examples stored in the storage unit, the sentence string that matches the extracted sentence example is updated according to the selection of the sentence example, and the number of uses stored for each sentence example by the storage unit is input as the character string An input support program for causing a computer to execute a process of increasing in correspondence with the number of occurrences of the sentence example. The computer further executes a process of displaying, as a candidate for a conversion character string, in order from the sentence having the highest number of uses with reference to the storage unit when the reading is input, with reference to the storage unit. Input support program.   The input according to claim 1 or 2, wherein the process of increasing the number of uses increases the number of uses for a sentence example that matches a condition stored in a condition storage unit among sentence examples that match a sentence example stored in the storage unit. Support program.   The input support program according to claim 3, wherein the condition includes an example of a sentence that constitutes a whole series of nouns.   5. The input support program according to claim 3, wherein the condition includes that the sentence is surrounded by symmetrical symbols. A count that is updated according to the selection of the sentence examples and used to control the display order of the sentence examples when a plurality of specific sentence examples are inputted without selecting the sentence examples from the sentence example selection candidates according to the character input. A process of updating the value by an amount corresponding to the number of the specific sentence examples input;
An input support program for causing a computer to execute. An extraction unit for extracting a sentence example from a character string input without selecting a sentence example stored in the storage unit in association with the reading;
Of the sentence examples stored in the storage unit, the sentence string that matches the extracted sentence example is updated according to the selection of the sentence example, and the number of uses stored for each sentence example by the storage unit is input as the character string And an increasing unit that increases the number of sentences in association with the number of appearances of the sentence example. Extract the sentence example from the input character string without selecting the sentence example stored in the storage unit in association with the reading,
Of the sentence examples stored in the storage unit, the sentence examples that match the extracted sentence examples are updated according to the selection of the sentence examples, and the number of times of use that the storage unit stores for each sentence example is input. An input support method in which a computer executes a process of increasing in correspondence with the number of appearances of the sentence example in a character string.

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