JP2015069334A - Character conversion program, character conversion device, and character conversion method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the occurrence of misentry in the case of compiling a document.SOLUTION: A character conversion program is configured to allow a computer to execute processing of: acquiring, when the place information of a resource on a network is included in an acquired character string, document data by performing access to a resource stored in the place indicated by the place information; analyzing the acquired document data to extract the components of a sentence included in the document data; acquiring the reading of the extracted components from a dictionary database; storing the extracted components and the acquired reading in association in a first storage part; and displaying, when displaying the conversion candidates of the reading corresponding to the input of the stored reading, the components stored in association with the reading in the first storage part as the conversion candidates.

Description

  The present invention relates to a character conversion program, a character conversion device, and a character conversion method.

  Using a dictionary in which sentence examples are registered in association with readings (hereinafter referred to as “sentence dictionary”), software that presents a list of sentence examples corresponding to the readings as input candidates in response to input of readings (hereinafter referred to as “input candidates”). , "Sentence example input software"). The sentence example selected from the list is output to the document editing screen. In the sentence example dictionary, sentences inputted by the user, components of the sentences, and the like are registered as sentence examples. According to such sentence example input software, it is possible to simplify the input work of fixed phrases and the like that are frequently used by the user, and to improve the work efficiency of document creation.

JP 2008-97405 A JP 2004-334630 A Japanese Patent Laid-Open No. 10-320389

  However, for example, when editing a report on a competing product, it is conceivable that the user does not correctly store the product name and erroneously inputs the spelling. When a sentence including an error such as an error is input, the sentence example including the error is registered as it is in the sentence example dictionary. Then, there is a possibility that sentence examples including the same error will be repeatedly input thereafter.

  Such an error is considered to be able to be prevented to some extent by referring to a Web page or the like that discloses information on the subject of the document to be edited, such as a competitive product. However, there is a possibility that a name or the like described on the Web page is misread.

  Therefore, an object of one aspect is to reduce the occurrence of typographical errors during document editing.

  In one proposal, when the acquired character string includes location information of a resource on the network, the character conversion program acquires the document data by accessing the resource stored in the location indicated by the location information. The document data is analyzed, the constituent elements of the sentence included in the document data are extracted, the extracted readings of the constituent elements are acquired from the dictionary database, and the extracted constituent elements correspond to the acquired readings Then, when displaying the conversion candidate of the reading according to the input of the stored reading stored in the first storage unit, the reading stored in the first storage unit in association with the reading A component is displayed as the conversion candidate, and the computer is caused to execute processing.

  According to one aspect, it is possible to reduce the occurrence of errors during document editing.

It is a figure which shows the system configuration example in embodiment of this invention. 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 software 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 figure which shows the example of an input character string. It is a figure which shows the structural example of a sentence example dictionary memory | storage part. It is a flowchart for demonstrating an example of the process sequence of a temporary dictionary production | generation process. It is a figure which shows an example of a web page. It is a figure which shows the structural example of a temporary dictionary memory | storage part. It is a flowchart for demonstrating an example of the process sequence of a sentence example list display process. It is a flowchart for demonstrating an example of the process sequence of a sentence example list correction process. It is a figure which shows the example of input with respect to a document edit screen. It is a flowchart for demonstrating an example of the process sequence of an error correction process. It is a figure which shows the example of a display of a misprint inquiry screen. It is a figure which shows the example of a display of the document edit screen after correction of an error.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an example of a system configuration in the embodiment of the present invention. In FIG. 1, an input support apparatus 10 is connected to one or more Web server apparatuses 20 through a network such as a LAN (Local Area Network) or the Internet so as to be communicable.

  The input support apparatus 10 is, for example, a PC (Personal Computer), a tablet terminal, a smartphone, a mobile phone, or the like. The input support device 10 assists the user in inputting text.

  The web server device 20 is a computer that manages web pages in the HTML (HyperText Markup Language) format or the like. The Web server device 20 returns the Web page requested from the input support device 10 to the input support device 10.

  FIG. 2 is a diagram illustrating a hardware configuration example of the input support apparatus according to the embodiment of the present invention. 2 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. 3 is a diagram illustrating a software 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 a screen for editing document data (hereinafter referred to as “document editing screen”), and displays, generates, and edits document data in accordance with an instruction input via the document editing screen. I do. The editing unit 11 is realized, for example, by processing executed by the CPU 104 by an application program such as word processing software, spreadsheet software, or mailer.

  The conversion unit 12 performs, for example, kana-kanji conversion on characters input to the document editing screen. The conversion unit 12 for languages other than Japanese performs conversion according to the language. The conversion unit 12 is realized, for example, by processing executed by the CPU 104 by software called IME (Input Method Editor) or FEP (Front End Processor) such as Kana-Kanji conversion software.

  The input support unit 13 supports input of a character string with respect to document data to be edited on a document editing screen displayed on the display device 106 by the editing unit 11. The input support unit 13 is realized by a process executed by the CPU 104 by a program installed in the input support apparatus 10.

  3, the input support unit 13 includes an input monitoring unit 130, a URL detection unit 131, a document acquisition unit 132, a temporary dictionary generation unit 133, a sentence example search unit 134, a sentence example list correction unit 135, a sentence example list display unit 136, and a sentence example output. A part 137, an error correction part 138, a sentence example registration part 139, and the like. The input support unit 13 also uses an input character storage unit 14, a sentence example dictionary storage unit 15, a temporary dictionary storage unit 16, and the like. Each of these units can be realized using the auxiliary storage device 102 or a storage device connected to the input support device 10 via a network. The input character storage unit 14 may be realized using the memory device 103.

  The input monitoring unit 130 monitors character input on the document editing screen. The input monitoring unit 130 stores a character whose input has been confirmed (hereinafter referred to as “determined character”) in the input character storage unit 14. The fixed character is, for example, a character that has been converted by the conversion unit 12 (for example, kana-kanji conversion).

  The URL detection unit 131 detects the input of a URL on the document editing screen. Specifically, the URL detection unit 131 searches for a character string indicating the URL from the character string stored in the input character storage unit 14. The URL search method may be performed according to a known technique. For example, the URL detection unit 131 may recognize a character string that matches the URL format as a URL.

  The document acquisition unit 132 accesses a resource stored at a location indicated by the URL detected by the URL detection unit 131 and acquires a Web page. In the present embodiment, the web page is acquired from the web server device 20. The temporary dictionary generation unit 133 extracts sentence components from a character string included in the Web page by morphological analysis or the like. The temporary dictionary generation unit 133 generates dictionary data (hereinafter referred to as “temporary dictionary”) in which the extracted component (hereinafter referred to as “extracted word”) is associated with the reading of the extracted word. The generated temporary dictionary is stored in the temporary dictionary storage unit 16. The extracted words extracted from the web page may be limited to nouns. In addition, readings are basically expressed in hiragana or lower case alphabets. For example, katakana in the extracted word is converted into hiragana, and the converted character string is read as the extracted word. The alphabet in the extracted word is all converted to lower case, and the converted character string is read as the extracted word. For example, a dictionary database possessed by the conversion unit 12 may be used for conversion of kanji in the extracted word into hiragana. That is, readings for kanji characters may be acquired from the dictionary database by reversely reading the kanji characters using the dictionary database.

  In response to an input of an unconfirmed character (reading), the sentence example search unit 134 stores a list of sentence examples (hereinafter referred to as “sentence list”) associated with a reading that matches the input unconfirmed character. Search from unit 15. The sentence example list is an example of input conversion candidates. An undetermined character is a character that has been converted by the conversion unit 12 and has not yet been confirmed for input. One sentence example may be included in the sentence example list. The sentence example dictionary storage unit 15 stores a sentence example dictionary. The sentence example dictionary is data in which sentence examples are recorded in association with reading. Specific examples of sentence examples include one or more clauses or a set of one or more sentences. However, one word may be registered in the sentence example dictionary storage unit 15 as one sentence example, and a fixed sentence may be registered as a sentence example. In the sentence example dictionary, constituent elements of sentences input in the past are also registered as sentence examples. That is, the contents of the sentence example dictionary change according to the input of the sentence.

  The sentence example list correcting unit 135 changes or corrects the contents of the sentence example list searched by the sentence example searching unit 134. As an example of the change or correction, an extracted word associated with the input reading and included in the temporary dictionary can be added to the sentence example list. Further, in the sentence examples included in the sentence example list, replacing a range similar to the extracted word registered in the temporary dictionary with the extracted word corresponds to the change or correction of the sentence example list.

  The sentence example list display unit 136 displays the sentence example list as input candidates for the document editing screen. The sentence example output unit 137 outputs (expands) a sentence example selected from the sentence example list on the document editing screen.

  The errant correction unit 138 corrects a range that may be errant in the character string input on the document editing screen, using a temporary dictionary. The sentence example registration unit 139 extracts a sentence example from the character string stored in the input character storage unit 14 until a line break is input in response to the input of a line break on the document editing screen, and associates the sentence example with the reading to determine the sentence example dictionary. Register with. For example, morphological analysis is used to extract a sentence example from a character string. The reading generation method for the sentence example may be the same as the reading generation method for the extracted word.

  Hereinafter, a processing procedure executed by the input support unit 13 will be described. FIG. 4 is a flowchart for explaining an example of a processing procedure executed by the input support unit. The processing in FIG. 4 is executed when the user inputs a character string using the input device 107 on the document editing screen displayed on the display device 106 by the editing unit 11. Note that the input of a character string to the document editing screen is equivalent to the input of a character string to the document data that is to be edited on the document editing screen.

  When the input monitoring unit 130 detects any input on the document editing screen (YES in S101), the input monitoring unit 130 determines whether or not the input is a line feed (S102). When the input is not a line feed (NO in S102), the input monitoring unit 130 determines whether or not the input is an unconfirmed character (S103).

  When an unconfirmed character is input (YES in S103), the sentence example search unit 134, the sentence example list correction unit 135, the sentence example list display unit 136, and the like execute a sentence example list display process (S104). By executing the sentence example list display process, a screen including a list of sentence examples corresponding to the reading indicated by the character string in the unconfirmed state (hereinafter referred to as “sentence list screen”) is displayed on the display device 106. Note that the sentence examples included in the sentence example list are narrowed down according to an increase in the number of unconfirmed characters that are input.

  When any sentence example is selected from the sentence example list included in the sentence example list screen in a state where the sentence example list screen is displayed (YES in S105), the sentence example output unit 137 The data is output to the document editing screen (S106). As a result, the document editing screen is in a state in which the sentence example is input. In addition, one or more characters that have not been confirmed are replaced by sentence examples. Subsequently, the sentence example output unit 137 additionally stores the selected sentence example in the input character storage unit 14 (S107).

  When a confirmation instruction or a character string pasting instruction from the clipboard is input (YES in S108), the input monitoring unit 130 inputs a character or a character string related to the confirmation instruction or a pasted character string. It is additionally stored in the character storage unit 14 (S109). The confirmation instruction refers to an instruction to confirm an unconfirmed character, and is input, for example, by pressing the return key in a state where the unconfirmed character is displayed. The input character storage unit 14 stores a set (character string) of confirmed characters that are input before a line feed is made. Also, since the input of a character string pasted by copy & paste or cut & paste is confirmed at the same time as pasting, the pasting instruction is handled in the same manner as the confirmation instruction.

  On the other hand, when a line feed is input on the document editing screen (YES in S102), the URL detection unit 131 stores a character string stored in the input character storage unit 14 (hereinafter referred to as “input character string”). A character string indicating the URL is searched from among them (S110). The input character string is a confirmed character string. Therefore, at this time, the input character string is displayed on the document editing screen in a state where the input is confirmed.

  When the corresponding character string is searched (YES in S111), the temporary dictionary generation unit 133 executes a temporary dictionary generation process (S112). Through the temporary dictionary generation process, a temporary dictionary based on the Web page specified by the searched URL is generated, and the temporary dictionary is stored in the temporary dictionary storage unit 16. If a character string indicating a URL is not searched (NO in S111), the temporary dictionary generation process is not executed.

  Subsequently, the error correction unit 138 executes an error correction process (S113). In the error correction process, correction of a character that is likely to be erroneous in the input character string is performed using a temporary dictionary.

  Subsequently, the sentence example registration unit 139 extracts a sentence example from the input character string by performing morphological analysis on the input character string, and stores the extracted sentence example in the sentence example dictionary storage unit 15 in association with the reading. (S114). That is, the entire input character string or the constituent elements of the input character string are stored in the sentence example dictionary storage unit 15 as a sentence example.

  For example, when the input character string (stored contents of the input character storage unit 14) is as shown in FIG. 5, a sentence example as shown in FIG. 6 is stored in the sentence example dictionary storage unit 15.

  FIG. 5 is a diagram illustrating an example of an input character string. FIG. 5 shows an example in which a character string “BunreiWRITE, a sentence example input tool has been released” is input.

  FIG. 6 is a diagram illustrating a configuration example of the sentence example dictionary storage unit. In FIG. 6, the sentence example dictionary storage unit 15 stores a sentence example ID, a reading, a sentence example, and the like for each sentence example. The sentence example ID is identification information for each sentence example, and is automatically assigned by the sentence example registration unit 139, for example. A reading is a reading of a sentence example. A sentence example is a sentence example associated with reading. FIG. 6 shows a part of a sentence example extracted from the input character string shown in FIG. 5 for convenience. For example, sentence examples such as “sentence example”, “sentence example input”, “sentence example input tool”, “release”, and “released” may be registered. That is, the rule for extracting a sentence example from a sentence is not limited to a predetermined rule. In FIG. 6, sentence examples registered in the past are also omitted for convenience. That is, the sentence example dictionary storage unit 15 cumulatively stores sentence examples extracted from sentences input in the past. Further, the correspondence between readings and sentence examples is not necessarily one-to-one. In the present embodiment, the reading of an English character is a single-byte lowercase letter of the English character. For example, in FIG. 6, the reading of “BunreiWrite” is “bunrewrite”. However, the reading of the English character may be a single-byte or full-width capital letter of the English character, or the reading of the English character may be determined based on other rules.

  Subsequently, the sentence example registration unit 139 clears the stored contents of the input character storage unit 14 (S115). That is, the input character string is deleted from the input character storage unit 14.

  FIG. 4 shows a processing procedure until a single line feed is input. Accordingly, when characters are continuously input to the document input screen after a line feed, step S101 and subsequent steps are repeated.

  Next, details of step S112 will be described. FIG. 7 is a flowchart for explaining an example of the processing procedure of the temporary dictionary generation processing.

  In step S <b> 201, the temporary dictionary generation unit 133 determines whether or not the processing in steps S <b> 202 to S <b> 205 has been executed for all URLs searched by the URL detection unit 131. When there are one or more unprocessed URLs, the temporary dictionary generation unit 133 sets one of the unprocessed URLs as a processing target. Hereinafter, the URL to be processed is referred to as “target URL”.

  Subsequently, the temporary dictionary generation unit 133 acquires the Web page indicated by the target URL from the Web server device 20 (S202). For example, when the temporary dictionary generation unit 133 transmits a Web page acquisition request to the target URL, the Web page specified based on the target URL is returned from the Web server device 20 related to the target URL. Here, it is assumed that a Web page as shown in FIG. 8 has been acquired.

  FIG. 8 is a diagram illustrating an example of a Web page. FIG. 8 shows an example in which a Web page introducing a product “Bunrewrite” is acquired.

  Subsequently, the temporary dictionary generation unit 133 extracts extracted words from the Web page (or decomposes sentences included in the Web page into extracted words) (S204). The method for extracting extracted words from a Web page may be the same as the method for extracting sentence examples from sentences. Or the extraction object as an extraction word may be limited to a word (especially noun). In the present embodiment, an example in which an extraction target as an extraction word is limited to a noun will be described. Subsequently, the temporary dictionary generation unit 133 stores the temporary dictionary in which the extracted word and the reading of the extracted word are associated with each other in the temporary dictionary storage unit 16 (S205).

  FIG. 9 is a diagram illustrating a configuration example of the temporary dictionary storage unit. In FIG. 9, the temporary dictionary storage unit 16 stores an editor ID, a reading, an extracted word, and the like for each extracted word. The editor ID is identification information of the document editing screen in which the target URL is input. For example, the identification information of the window of the document editing screen may be the editor ID. If a plurality of windows can be opened for the same document, the path name of the file being edited on the document editing screen may be used as the editor ID. The usage of the editor ID will be described later. The reading is a reading of the extracted word. The method of generating the reading of the extracted word may be the same as the method of generating the reading of the sentence example registered in the sentence example dictionary.

  When steps S202 to S205 are executed for all the searched URLs (YES in S201), the processing in FIG. 7 ends.

  Next, details of step S104 in FIG. 4 will be described. FIG. 10 is a flowchart for explaining an example of the processing procedure of the sentence example list display process.

  In step S <b> 301, the sentence example search unit 134 stores a sentence example dictionary stored in the sentence example dictionary storage unit 15 corresponding to the reading indicated by one or more unconfirmed characters (hereinafter referred to as “unconfirmed character string”) at the present time. Search more. The sentence example corresponding to the reading indicated by the undetermined character string is, for example, a sentence example in which the reading corresponding to the sentence example matches the sentence example that matches the undetermined character string. The reading that matches the undetermined character string means, for example, a reading in which a part or all of the reading from the beginning matches the undetermined character string.

  When the corresponding sentence example is searched (YES in S302), the sentence example list display unit 136 generates a sentence example list screen and sets the corresponding sentence example on the sentence example list screen (S303).

  Subsequently, the sentence example list correcting unit 135 executes a sentence example list correcting process (S304). In the sentence example list correction process, the contents of the sentence example list displayed on the sentence example list screen are changed based on the temporary dictionary. Subsequently, the sentence example list display unit 136 displays a sentence example list screen on the display device 106 (S305).

  Next, details of step S304 will be described. FIG. 11 is a flowchart for explaining an example of the processing procedure of the sentence example list correction process.

  In step S401, the sentence example list correcting unit 135 acquires an editor ID (hereinafter referred to as “target editor ID”) of the document editing screen that is currently operated (active) (S401). The editor ID can be acquired using, for example, an API (Application Program Interface) prepared in an OS (Operating System) or the like.

  Subsequently, the sentence example list correcting unit 135 acquires a temporary dictionary record including the target editor ID from the temporary dictionary storage unit 16 (S402). That is, a temporary dictionary record stored with respect to the document editing screen in which the target URL is input is acquired. This is because the document to be edited is different for each document editing screen, and the validity of applying the temporary dictionary based on the target URL to the document editing screen unrelated to the target URL. Alternatively, it is considered that the effectiveness is poor.

  When one or more records (hereinafter referred to as “target records”) are acquired (YES in S403), the sentence example list correcting unit 135 sets any target record in each sentence example set on the sentence example list screen. A range having a predetermined relationship with the included extracted word is replaced with the extracted word (S404). The said range is all or a part of sentence examples. In addition, as an example of a range having a predetermined relationship, a range similar to an extracted word included in any one of the target records can be given. In the similarity determination with the extracted word, for example, a difference between hiragana and katakana, a difference between half-width and full-width, and a difference between uppercase and lowercase letters may be determined as a similar range. Further, it may be performed based on a known character string comparison technique or the like. For example, a range in which the similarity calculated by a predetermined method is a predetermined value or more may be determined as a similar range.

  Alternatively, in reading each sentence example, it may be determined whether or not there is a range that matches or is similar to the reading of the extracted word included in any target record. For the sentence example corresponding to the reading including the range that matches or is similar to the reading of the extracted word, the range of the sentence example corresponding to the matching reading range is replaced by the extracted word.

  Next, the sentence example list correcting unit 135 searches the target record for an extracted word corresponding to the reading indicated by the unconfirmed character at the current time (S405). The meaning of the extracted word corresponding to the reading may be the same as the meaning of the sentence example corresponding to the reading in step S301. When a corresponding extracted word (hereinafter referred to as “target extracted word”) is searched (YES in S406), the sentence example list correcting unit 135 additionally sets the target extracted word on the sentence example list screen (S407). . That is, the target extracted word is added to the sentence example list screen as one option on the sentence example list screen. However, when the same sentence example as the target extracted word is already set on the sentence example list screen, the target extracted word may not be set on the sentence example list screen. The extracted words may be set on the sentence example list screen so that the extracted words are displayed in a different form from the sentence examples.

  As described above, in the present embodiment, changing the sentence example list means replacing all or part of the sentence examples with extracted words and adding the target extracted words to the sentence example list screen. However, only one of them may be performed.

  The significance of the processing of FIGS. 10 and 11 will be specifically described. FIG. 12 is a diagram showing an input example on the document editing screen.

  In FIG. 12, the document editing screen W1 shows a state in which the URL 511 is input, a line feed is entered, and an unconfirmed character string “Bun” is input. Here, it is assumed that the Web page indicated by the URL 511 is as shown in FIG. Accordingly, when the URL 511 is input and a line feed is made, the temporary dictionary shown in FIG. 9 is generated. The contents of the sentence example dictionary storage unit 15 are as shown in FIG.

  In this case, the processing described in FIG. 10 is executed in response to the input of “bun”, and a sentence example starting with “bun” is retrieved from the sentence example dictionary storage unit 15. According to FIG. 6, “sentence example input tool”, “sentence example input tool BunreiWRITE”, and the like are searched. Accordingly, these sentence examples are set on the sentence example list screen 512. However, in step S404 of FIG. 11, the range (part) of “BunreiWRITE” in “BunreiWRITE of sentence example input tool” is replaced by “Bunrewwrite” of the extracted words in FIG. Here, “Bunrewrite” is a word extracted from a Web page related to the product related to the name. Therefore, the possibility that the spelling is correct is considered high. On the other hand, “BunreiWRITE” is a character string input by the user in the past, and the possibility that the spelling is correct is considered to be lower than that of the Web page. Therefore, in step S404, a part or all of the sentence example is replaced with an extracted word similar to the part or all.

  In addition, in step S407 of FIG. 11, among the extracted words registered in the temporary dictionary, “bun rei light” and “bun rai” starting with “bun” are added to the sentence example list screen 512. By using these extracted words as sentence examples, the user can input words related to products with correct spelling.

  As described above, in the present embodiment, when a document that explains a certain matter is created, a URL of a Web page that describes information about the matter may be described in the document. Thus, a word or the like is extracted from the Web page. Depending on the extracted word, the sentence example is corrected or the sentence example is added. In other words, according to the present embodiment, when a document related to a matter is created, if the URL of the Web page on which the information related to the matter is described, the user is based on the temporary dictionary. Input assistance can be enjoyed.

  When there are a plurality of extracted words that are replacement candidates (that is, similar to the range) for one range of a certain sentence example, for example, the sentence list correcting unit 135 displays a screen including a list of replacement candidates. May be displayed. The range may be replaced by an extracted word selected from the list.

  A screen for inquiring whether or not replacement is necessary may be displayed regardless of the number of replacement candidates. The replacement may be performed when the user inputs that the replacement is necessary.

  Next, details of step S113 in FIG. 4 will be described. FIG. 13 is a flowchart for explaining an example of the processing procedure of the error correction process.

  In step S501, the error correction unit 138 obtains an editor ID (hereinafter referred to as “target editor ID”) of the document editing screen that is currently the operation target (S501). Subsequently, the error correction unit 138 acquires a temporary dictionary record including the target editor ID from the temporary dictionary storage unit 16 (S502). Note that steps S501 and S502 are the same processes as steps S401 and S402.

  When one or more records (hereinafter, referred to as “target records”) are acquired (YES in S503), the error correction unit 138 determines from the input character string (character string stored in the input character storage unit 14): Words constituting the input character string are extracted (S504). The extraction of words can be performed using, for example, morphological analysis. Subsequently, the error correction unit 138 searches the extracted one or more words for a word similar to the extracted word of any target record (S505). The meaning of “similar” here may be the same as the similar meaning in the description of FIG. 11.

  When the corresponding word is searched (YES in S506), the error correction unit 138 displays the error inquiry screen on the display device 106 (S507).

  FIG. 14 is a diagram illustrating a display example of an erroneous entry inquiry screen. In FIG. 14, the same parts as those in FIG.

  FIG. 14 shows a state where an input character string 513 is input after a URL 511 is input and a line feed is further input on the document editing screen 510. The process of FIG. 13 is executed for the input character string 513 in response to the input of a line feed. As a result, among the words constituting the input character string 513, “BunreiWRITE of the sentence example input tool product has been released.”, “BunreiWRITE” is a word similar to “Bunrewrite” in the temporary dictionary (hereinafter “target word”). ").). Accordingly, in the example of FIG. 14, an error inquiry screen 520 for inquiring the user whether to replace “BunreiWRITE” with “Bunrewrite” is displayed.

  When the cancel button 522 is pressed on the error inquiry screen 520 (NO in S508), step S509 is not executed, and the process in FIG. 13 ends.

  When the OK button 521 is pressed on the error inquiry screen 520 (that is, replacement is selected) (YES in S508), the error correction unit 138 changes the target word displayed on the document editing screen 510 to the target word. The extracted word similar to the target word is replaced (S509). The error correction unit 138 also replaces the target word stored in the input character storage unit 14 with the extracted word.

  FIG. 15 is a diagram illustrating a display example of the document editing screen after correction of an error. FIG. 15 shows an example in which “BunreiWRITE” in the input character string 513 is replaced with “Bunrewrite”.

  When there are a plurality of replacement candidate extracted words, one extracted word may be selectable from the plurality of extracted words on the misprint inquiry screen 520.

  As described above, according to the present embodiment, it is possible to detect a place where there is a possibility of error in the character string input by the user, and to correct the place to the correct spelling. It should be noted that replacement with the extracted word may be forcibly performed without displaying the error inquiry screen 520. Alternatively, whether or not forced replacement is permitted may be set.

  Note that the error correction function shown in FIG. 13 does not necessarily have to be implemented in conjunction with the sentence example input function. That is, the sentence example dictionary is not necessarily required to implement the correction function for erroneous entries. In addition, the correction target of the error is not necessarily a sentence example input based on the sentence example dictionary. Accordingly, the error correction function may be implemented independently of the sentence input function.

  In this embodiment, the example in which the URL is used as the position information of the document data input to the document editing screen, that is, the resource location information has been described. However, this embodiment may be applied to the location information of resources other than the URL. For example, a file path name stored in the shared folder, location information of data stored in the database, and the like may be used instead of the URL.

  In the present embodiment, the document acquisition unit 132 is an example of a first acquisition unit. The temporary dictionary generation unit 133 is an example of a second acquisition unit and an extraction unit. The sentence example list display unit 136 is an example of a display unit. The temporary dictionary storage unit 16 is an example of a first storage unit. The sentence example dictionary storage unit 15 is an example of a second storage unit. The error correction unit 138 is an example of a replacement unit. The input support device 10 is an example of a character conversion device.

  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.

Regarding the above description, the following items are further disclosed.
(Appendix 1)
When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
When displaying the conversion candidate of the reading corresponding to the input of the stored reading, the component that is associated with the reading and stored in the first storage unit is displayed as the conversion candidate.
A character conversion program that causes a computer to execute processing.
(Appendix 2)
Search the list of sentence examples associated with the input reading from the sentence examples stored in the second storage unit in association with the reading,
Causing the computer to execute a process for changing a list of retrieved sentence examples using the components stored in the first storage unit in association with the input reading;
The character conversion program according to supplementary note 1, wherein the displaying process displays a list of changed sentence examples.
(Appendix 3)
The character conversion program according to supplementary note 2, wherein the changing process adds the constituent element associated with the input reading and stored in the first storage unit to a list of searched sentence examples.
(Appendix 4)
Additional processing 2 or 3 in which the process of changing replaces a range having a predetermined relationship with any of the constituent elements stored in the first storage unit in the retrieved sentence example by any of the constituent elements. Character conversion program.
(Appendix 5)
The character conversion program according to any one of appendices 1 to 4, wherein the extracting process analyzes the acquired document data and extracts nouns included in the document data.
(Appendix 6)
The displaying process includes a sentence example searched by the searching process for a sentence component stored in the first storage unit added to the list of sentence examples searched by the searching process. The character conversion program according to appendix 3, characterized in that is displayed in a different manner.
(Appendix 7)
When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
In the input character string, a range having a predetermined relationship with any of the components stored in the first storage unit is replaced with any of the components.
A character conversion program that causes a computer to execute processing.
(Appendix 8)
Whether or not the replacement process replaces a range having a predetermined relationship with any one of the components stored in the first storage unit in the input character string by using any of the components. The character conversion program according to appendix 7, wherein the range is replaced by the component when the user selects and replaces the selected range.
(Appendix 9)
A first acquisition unit that acquires document data by accessing a resource stored in a location indicated by the location information when the acquired character string includes location information of a resource on the network;
An extraction unit that analyzes the acquired document data and extracts constituent elements of a sentence included in the document data;
A second acquisition unit for acquiring a reading of the extracted component from a dictionary database;
A first storage unit that stores the extracted component and the acquired reading in association with each other;
A display unit that displays the constituent elements associated with the readings and stored in the first storage unit as the conversion candidates when displaying the conversion candidates for the readings according to the stored input of the readings. When,
A character conversion device comprising:
(Appendix 10)
A search unit for searching a list of sentence examples associated with the input reading from among sentence examples stored in the second storage unit in association with the reading;
A change unit that changes a list of retrieved sentence examples using the components stored in the first storage unit in association with the input reading;
The character conversion device according to appendix 9, wherein the display unit displays a list of changed sentence examples.
(Appendix 11)
The character conversion device according to appendix 10, wherein the changing unit adds the constituent element associated with the input reading and stored in the first storage unit to a list of searched sentence examples.
(Appendix 12)
12. The supplementary note 10 or 11, wherein the changing unit replaces a range having a predetermined relationship with any one of the components stored in the first storage unit in the retrieved sentence example by any one of the components. Character conversion device.
(Appendix 13)
The character conversion device according to any one of appendices 9 to 12, wherein the extraction unit analyzes the acquired document data and extracts nouns included in the document data.
(Appendix 14)
The display unit is added to the list of sentence examples searched by the searching process, and the sentence examples stored by the first storage unit are searched for by the searching process. The character conversion device according to appendix 11, wherein the character conversion device displays the data in different modes.
(Appendix 15)
A first acquisition unit that acquires document data by accessing a resource stored in a location indicated by the location information when the acquired character string includes location information of a resource on the network;
An extraction unit that analyzes the acquired document data and extracts constituent elements of a sentence included in the document data;
A second acquisition unit for acquiring a reading of the extracted component from a dictionary database;
A first storage unit that stores the extracted component and the acquired reading in association with each other;
In the input character string, a replacement unit that replaces a range having a predetermined relationship with any of the components stored in the first storage unit by any of the components,
A character conversion device comprising:
(Appendix 16)
Whether the replacement unit replaces a range having a predetermined relationship with any one of the components stored in the first storage unit with any one of the components in the input character string. The character conversion device according to supplementary note 15, wherein when the user selects and replaces the range, the range is replaced by the component.
(Appendix 17)
When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
When displaying the conversion candidate of the reading corresponding to the input of the stored reading, the component that is associated with the reading and stored in the first storage unit is displayed as the conversion candidate.
A character conversion method in which processing is performed by a computer.
(Appendix 18)
Search the list of sentence examples associated with the input reading from the sentence examples stored in the second storage unit in association with the reading,
The computer executes a process of changing a list of retrieved sentence examples using the components stored in the first storage unit in association with the input reading,
The character conversion method according to appendix 17, wherein the displaying process displays a list of changed sentence examples.
(Appendix 19)
The character conversion method according to appendix 18, wherein the changing process includes adding the constituent element associated with the input reading and stored in the first storage unit to a list of searched sentence examples.
(Appendix 20)
The appendix 18 or 19, wherein the changing process replaces a range having a predetermined relationship with any one of the components stored in the first storage unit in the retrieved sentence example by any one of the components. Character conversion method.
(Appendix 21)
The sentence conversion method according to any one of appendices 17 to 20, wherein the extracting process analyzes the acquired document data and extracts nouns included in the document data.
(Appendix 22)
The displaying process includes a sentence example searched by the searching process for a sentence component stored in the first storage unit added to the list of sentence examples searched by the searching process. The character conversion method according to appendix 19, wherein the characters are displayed in different modes.
(Appendix 23)
When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
In the input character string, a range having a predetermined relationship with any of the components stored in the first storage unit is replaced with any of the components.
A character conversion method in which processing is performed by a computer.
(Appendix 24)
Whether or not the replacement process replaces a range having a predetermined relationship with any one of the components stored in the first storage unit in the input character string by using any of the components. The character conversion method according to supplementary note 23, wherein the range is replaced with the component when the user selects and replaces the selected range.

DESCRIPTION OF SYMBOLS 10 Input support apparatus 11 Editing part 12 Conversion part 13 Input support part 14 Input character storage part 15 Example dictionary storage part 16 Temporary dictionary storage part 20 Web server apparatus 100 Drive apparatus 101 Recording medium 102 Auxiliary storage apparatus 103 Memory apparatus 104 CPU
105 interface device 106 display device 107 input device 130 input monitoring unit 131 URL detection unit 132 document acquisition unit 133 temporary dictionary generation unit 134 example search unit 135 example list correction unit 136 example list display unit 137 example output unit 138 error correction unit 139 example Registration Department B Bus

Claims (10)

When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
When displaying the conversion candidate of the reading corresponding to the input of the stored reading, the component that is associated with the reading and stored in the first storage unit is displayed as the conversion candidate.
A character conversion program that causes a computer to execute processing. Search the list of sentence examples associated with the input reading from the sentence examples stored in the second storage unit in association with the reading,
Causing the computer to execute a process for changing a list of retrieved sentence examples using the components stored in the first storage unit in association with the input reading;
The character conversion program according to claim 1, wherein the displaying process displays a list of changed sentence examples.   The character conversion program according to claim 2, wherein the changing process adds the constituent element associated with the input reading and stored in the first storage unit to a list of searched sentence examples. .   The process for changing replaces a range having a predetermined relationship with any one of the components stored in the first storage unit by any one of the components in the retrieved sentence example. The character conversion program described. When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
In the input character string, a range having a predetermined relationship with any of the components stored in the first storage unit is replaced with any of the components.
A character conversion program that causes a computer to execute processing.   Whether or not the replacement process replaces a range having a predetermined relationship with any one of the components stored in the first storage unit in the input character string by using any of the components. The character conversion program according to claim 5, wherein when the user selects and replaces the range, the range is replaced by the component. A first acquisition unit that acquires document data by accessing a resource stored in a location indicated by the location information when the acquired character string includes location information of a resource on the network;
An extraction unit that analyzes the acquired document data and extracts constituent elements of a sentence included in the document data;
A second acquisition unit for acquiring a reading of the extracted component from a dictionary database;
A first storage unit that stores the extracted component and the acquired reading in association with each other;
A display unit that displays the constituent elements associated with the readings and stored in the first storage unit as the conversion candidates when displaying the conversion candidates for the readings according to the stored input of the readings. When,
A character conversion device comprising: A first acquisition unit that acquires document data by accessing a resource stored in a location indicated by the location information when the acquired character string includes location information of a resource on the network;
An extraction unit that analyzes the acquired document data and extracts constituent elements of a sentence included in the document data;
A second acquisition unit for acquiring a reading of the extracted component from a dictionary database;
A first storage unit that stores the extracted component and the acquired reading in association with each other;
In the input character string, a replacement unit that replaces a range having a predetermined relationship with any of the components stored in the first storage unit by any of the components,
A character conversion device comprising: When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
When displaying the conversion candidate of the reading corresponding to the input of the stored reading, the component that is associated with the reading and stored in the first storage unit is displayed as the conversion candidate.
A character conversion method in which processing is performed by a computer. When the location information of the resource on the network is included in the acquired character string, the document data is acquired by accessing the resource stored in the location indicated by the location information,
Analyzing the acquired document data, extracting constituent elements of a sentence included in the document data,
Get the extracted reading of the component from the dictionary database,
The extracted component and the acquired reading are associated with each other and stored in the first storage unit,
In the input character string, a range having a predetermined relationship with any of the components stored in the first storage unit is replaced with any of the components.
A character conversion method in which processing is performed by a computer.

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