JP2020166720A - Display program, display method, display device, and creation program - Google Patents

Abstract

To efficiently execute word error prevention.SOLUTION: A display device 60 searches, from dictionary information where words are linked to comments, the word whose input has been received in publication creation. The dictionary information is generated based on proofreading of past publications related to the publication or corrected articles. The display device 60 displays the searched comments following the word whose input has been received. Moreover, the dictionary information is obtained by linguistically analyzing the page data before and after the correction and the past corrected articles.SELECTED DRAWING: Figure 1

Description

The present invention relates to a display program, a display method, a display device, and a creation program.

Conventionally, a technique for supporting document creation using a word processor has been known. For example, there are known systems that compare words in a target document with fair terms stored in a database, analyze the context before and after, and perform warnings and proofreading.

Japanese Patent Application No. 9-3333902 Japanese Unexamined Patent Publication No. 2013-196374 Japanese Unexamined Patent Publication No. 2015-118395 Japanese Unexamined Patent Publication No. 2005-250648

However, the above technique has a problem that it may be difficult to efficiently prevent word errors. For example, in the above system, a warning is given to a created document. For this reason, for example, if an editor uses the system to check a written document and receives a warning, it may be necessary to contact or confirm the document author regarding the warning, which may complicate the operation. Be done.

On one side, it helps prevent word typos.

In one embodiment, the display program causes a computer to perform a process of searching from dictionary information in which words and comments are associated. The dictionary information is generated based on the proofreading or corrected articles of the past publications related to the publication, with the words received in the preparation of the publication. The display program causes the computer to execute a process of displaying the comment searched by the search process following the word for which the input is accepted.

In one aspect, it is possible to suppress word input errors.

FIG. 1 is a diagram showing an example of the functional configuration of the word error prevention system according to the embodiment. FIG. 2 is a diagram showing an example of the functional configuration of the creating device according to the embodiment. FIG. 3 is a diagram showing a configuration example of the error word DB. FIG. 4 is a diagram showing an example of the functional configuration of the first extraction unit. FIG. 5 is a diagram for explaining the language analysis of the sentence before and after the correction. FIG. 6 is a diagram showing an example of the functional configuration of the second extraction unit. FIG. 7 is a diagram for explaining the linguistic analysis of the corrected sentence. FIG. 8 is a diagram showing an example of dictionary format data. FIG. 9 is a diagram showing an example of the functional configuration of the display device according to the embodiment. FIG. 10 is a diagram showing an example of a comment display mode. FIG. 11 is a flowchart showing the flow of the error word extraction process. FIG. 12 is a flowchart showing the flow of the error word extraction process. FIG. 13 is a flowchart showing the flow of the dictionary information creation process. FIG. 14 is a flowchart showing the flow of the selection process of the target word. FIG. 15 is a flowchart showing the flow of display processing. FIG. 16 is a diagram showing an example of a comment display mode. FIG. 17 is a diagram showing an example of a comment display mode. FIG. 18 is a diagram illustrating a hardware configuration example.

Hereinafter, examples of the display program, display method, display device, and creation program according to the present invention will be described in detail with reference to the drawings. The present invention is not limited to this embodiment. In addition, each embodiment can be appropriately combined within a consistent range.

[Functional configuration]
The functional configuration of the learning apparatus according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of the functional configuration of the word error prevention system according to the embodiment. As shown in FIG. 1, the word error prevention system 1 includes a creation device 10, a paper production system 20, an article search system 30, a kana-kanji conversion system 40, and a dictionary distribution system 50. In this embodiment, an example in which the publication is a newspaper will be mainly described.

The creation device 10 creates dictionary-format data. The dictionary-format data created by the creation device 10 is converted by the kana-kanji conversion system 40 into the error word-kanji dictionary 41 that can be used by the display device 60, and is stored in the shared folder 42. Then, the dictionary distribution system 50 distributes the error word-kanji dictionary 41 to the display device 60.

The error word kanji dictionary 41 is data in a format that can be used as, for example, a dictionary for kana-kanji conversion of ATOK (registered trademark). The display device 60 is a terminal, for example, a personal computer, a smartphone, a tablet, or the like.

The contents of the erroneous word-kanji dictionary 41 are manually confirmed and stored in the shared folder 42. Further, when the dictionary distribution system 50 monitors the shared folder 42 and detects that the error word-kanji dictionary 41 is stored, it cooperates with the client-side function of the dictionary distribution system 50 provided in each terminal and makes an error. The word-kanji dictionary 41 will be distributed.

As a result, the author who writes using the display device 60 sees the history pointed out in the proofreading in the past while inputting, so that the recurrence of the same error is suppressed. In addition, since the error word kanji dictionary is distributed all at once to multiple terminals in the organization and automatically applied, the author can prevent the recurrence of his own past errors and others' past errors without any hassle. it can.

The paper production system 20 stores page data of newspapers, books, magazines, etc. that have been written and edited in the shared folder 21. The page data is, for example, a PDF file. Then, the edited page data is forwarded to the review department, and the review department points out. Further, the corrected page data that has been corrected according to the indication by the review department is stored in the shared folder 21. Therefore, the page data before the modification and the page data after the modification are stored in the shared folder 21.

The article search system 30 searches for an article from the past article DB 31, and provides the searched article to the creation device 10. The article search system 30 can search for corrected articles from the past article DB 31. A corrected article is an article published to correct an error in a published publication.

FIG. 2 is a diagram showing an example of the functional configuration of the creating device according to the embodiment. As shown in FIG. 2, the creating device 10 includes an input unit 11, an output unit 12, a storage unit 13, and a control unit 14.

The input unit 11 is an input device such as a keyboard or a mouse. Further, the output unit 12 is an output device such as a display or a speaker. Further, the input unit 11 and the output unit 12 may be interfaces for communicating data with other devices.

The storage unit 13 is an example of a storage device that stores data, a program executed by the control unit 14, and the like, such as a hard disk and a memory. The storage unit 13 stores the error word DB 131.

FIG. 3 is a diagram showing a configuration example of the error word DB. As shown in FIG. 3, the error word DB 131 includes the items of the term before correction and the term after correction. The uncorrected term is extracted from the uncorrected page data of the shared folder 21. Further, the modified terms are extracted from the modified page data of the shared folder 21.

Other items of the error word DB131 will be described. The date and time of occurrence are the date and time when the error occurred. The generation surface and the generation part are information for identifying the surface and part of the newspaper in which the correction has occurred. The publisher and editor are information that identifies the person who wrote and edited. The detector is information that identifies a person who has detected a corrected part by proofreading or the like. The type represents the process in which the correction was made. The original text before correction is the text from which the term before correction is extracted. The modified original text is the text from which the modified term was extracted.

In the control unit 14, for example, a program stored in an internal storage device is executed by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), or the like using the RAM as a work area. Is realized by. Further, the control unit 14 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array), for example. The control unit 14 has an extraction unit 140, a generation unit 143, and a creation unit 144. Further, the extraction unit 140 has a first extraction unit 141 and a second extraction unit 142.

The extraction unit 140 refers to the database in which the publications are accumulated, and extracts the first word described in the publication and the second word before the modification or correction of the first word. The first extraction unit 141 extracts words from the publications before and after the modification. On the other hand, the second extraction unit 142 extracts words from the publication for correction. Further, the first extraction unit 141 and the second extraction unit 142 store the extracted first word and the second word in the error word DB 131 as the corrected term and the uncorrected term, respectively.

FIG. 4 is a diagram showing an example of the functional configuration of the first extraction unit. As shown in FIG. 4, the first extraction unit 141 has a sentence extraction unit 141a, a language analysis unit 141b, and a semantic structure comparison unit 141c.

The sentence extraction unit 141a extracts information (hereinafter, related information) that identifies the date and time, surface, part, and page from the page number part, header part, footer part, and the like of the page data of the shared folder 21. Further, the sentence extraction unit 141a extracts a text object (hereinafter, a sentence before modification) from the page data before modification. Further, the sentence extraction unit 141a extracts a text object having the same ID as the extracted text object of the page data before modification (hereinafter, the sentence after modification) from the page data after modification.

The language analysis unit 141b decomposes the sentence before modification and the sentence after modification as a semantic structure and analyzes them. FIG. 5 is a diagram for explaining the language analysis of the sentence before and after the correction. As shown in FIG. 5, the analysis result by the language analysis unit 141b is represented by a conceptual diagram showing the connection relationship, attributes, and part of speech of each word. The language analysis in the creating device 10 can be performed by using the existing technique.

FIG. 5 shows a conceptual diagram of the analysis results of the uncorrected sentence "Prime Minister Abe met on the 18th." And the revised sentence "Prime Minister Abe met at the Prime Minister's Office on the 18th." .. For example, FIG. 5 shows that in the uncorrected sentence, the attribute of the word "Prime Minister Abe" to the word "interview" is "subject". Further, for example, in FIG. 5, in the corrected sentence, the attribute of the word "Prime Minister's Office" to the word "Meeting" is "place", and the particle following the word "Prime Minister's Office" is "de". It is shown.

The semantic structure comparison unit 141c compares the nodes of the conceptual diagram of the analysis result by the language analysis unit 141b before and after the correction, and if there is a changed word, determines that the word is an erroneous word, and together with related information. It is stored in the error word DB131.

In the example of FIG. 5, the semantic structure comparison unit 141c determines that the node of the word "Prime Minister Abe" in the sentence before the correction corresponds to the node of the word "Prime Minister Abe" in the sentence after the correction, and determines that the node of the word "Prime Minister Abe" corresponds to the word "Abe". The "Prime Minister" and the word "Prime Minister Abe" are stored in the error word DB131 as pre-correction terms and post-correction terms, respectively.

At this time, the semantic structure comparison unit 141c may exclude words deleted from the sentence before modification and words added from the sentence before modification from the extraction target in the modified sentence. Further, the semantic structure comparison unit 141c may extract only words that meet the conditions such as a plurality of characters, non-numeric characters, and no change in reading.

FIG. 6 is a diagram showing an example of the functional configuration of the second extraction unit. As shown in FIG. 6, the second extraction unit 142 has a language analysis unit 142a and a correction target word extraction unit 142b.

The language analysis unit 142a decomposes and analyzes the corrected sentence searched by the article search system 30 as a semantic structure. FIG. 7 is a diagram for explaining the linguistic analysis of the corrected sentence. As shown in FIG. 7, the analysis result by the language analysis unit 142a is represented by a conceptual diagram showing the connection relationship, attributes, and part of speech of each word.

Figure 7 shows, "In the commentary article on page 2 of the 19th," Prime Minister Abe "was" Prime Minister Abe. " The conceptual diagram of the analysis result of the corrected sentence is shown. For example, FIG. 7 shows that the attribute of the word "Prime Minister Abe" to the word "Prime Minister Abe" is "From" in the corrected sentence. Here, the attribute "From" is assumed to be the attribute of the word before correction with respect to the word after correction.

The correction target word extraction unit 142b extracts words having a predetermined relationship in the conceptual diagram of the analysis result of the language analysis unit 142a as words before and after the correction. For example, the correction target word extraction unit 142b extracts two words having the attribute “From”.

In the example of FIG. 7, the correction target word extraction unit 142b extracts the words “Prime Minister Abe” and the words “Prime Minister Abe” of the correction sentence, and stores them in the error word DB 131 as the pre-correction term and the post-correction term, respectively. Further, the correction target word extraction unit 142b extracts related information from the correction portion and stores it in the error word DB 131 together with the words before and after the correction. At this time, the correction target word extraction unit 142b may set the type in the error word DB 131 to a fixed value such as “correction article”.

Generation unit 143 generates a message indicating that the first word is correct and the second word is incorrect. The generation unit 143 generates a message using the value of each item of the error word DB131. For example, the generation unit 143 has "" Error example: × "+ (Term before correction) +" → ○ "+ (Term after correction) +" "+ (Date of occurrence) +" ("+ (Type) +") You can generate a message like "+ (generation surface)". However, "" represents a fixed value. Further, (item name) is an item value of the error word DB131 corresponding to the item name. Also, + is an operator that combines strings.

The creation unit 144 creates dictionary-formatted data including the first word and message. FIG. 8 is a diagram for explaining the creation of dictionary format data. The creation unit 144 creates the error word kanji dictionary 41 from the error word DB 131.

As shown in FIG. 8, the creating unit 144 sets the reading of the uncorrected term and the corrected term of the error word DB 131 to the reading (B) of the error word kanji dictionary 41. Further, the creation unit 144 sets the corrected term of the error word DB 131 to the kanji (D) of the error word kanji dictionary 41. Further, the creation unit 144 sets the part of speech (C) of the kanji (D). Further, the creating unit 144 sets the message generated by the generating unit 143 in the comment (E). The input file to the kana-kanji conversion system 40 is, for example, a comma-separated CSV format.

FIG. 9 is a diagram showing an example of the functional configuration of the display device according to the embodiment. As shown in FIG. 9, the display device 60 includes an input unit 61, an output unit 62, a storage unit 63, and a control unit 64.

The input unit 61 is an input device such as a keyboard or a mouse. Further, the output unit 62 is an output device such as a display or a speaker. Further, the input unit 61 and the output unit 62 may be interfaces for communicating data with other devices.

The storage unit 63 is an example of a storage device that stores data, a program executed by the control unit 64, and the like, such as a hard disk and a memory. The storage unit 63 stores the dictionary information 631.

Dictionary information 631 is a dictionary used in a kana-kanji conversion tool such as ATOK (registered trademark). For example, the dictionary information 631 is data in the same format as the error word kanji dictionary 41. Further, the error word-kanji dictionary 41 distributed from the dictionary distribution system 50 is added to the dictionary information 631.

The control unit 64 is realized by, for example, a CPU, an MPU, a GPU, or the like executing a program stored in an internal storage device using a RAM as a work area. Further, the control unit 64 may be realized by an integrated circuit such as an ASIC or FPGA. The control unit 64 includes a document creation unit 641, a search unit 642, and a display unit 643.

It is assumed that the document creation unit 641 is a so-called word processor, and a kana-kanji conversion tool such as ATOK (registered trademark) is introduced.

The search unit 642 searches for the word input received in the creation of the publication from the dictionary information 631 in which the word and the comment are linked. Dictionary information 631 is generated based on a review or corrected article of a past publication related to the publication. For example, when a kana is input to the document creation unit 641, the search unit 642 searches for the word indicated by the kana from the error word kanji dictionary 41 already added to the dictionary information 631.

The search unit 642 searches the dictionary information 631 in which the character string before conversion and the comment are associated with the comment corresponding to the character string before conversion that has received the input. For example, the character string before conversion is the reading (B) of the error word kanji dictionary 41.

The display unit 643 displays the comment searched by the search unit 642 following the word for which the input is accepted. FIG. 19 is a diagram showing an example of a comment display mode. As shown in FIG. 19, the display unit 643 has "Error example: × Prime Minister Abe → ○ Prime Minister Abe" obtained from the comment (E) of the error word kanji dictionary 41 following the input word "Prime Minister Abe". 2018/12/18 (Large print review) Comprehensive aspect "is displayed.

[Processing flow]
The flow of the extraction process by the first extraction unit 141 will be described with reference to FIG. FIG. 11 is a flowchart showing the flow of the error word extraction process. As shown in FIG. 11, first, the first extraction unit 141 acquires the related information of the corresponding page data (step S101). Next, the first extraction unit 141 extracts the sentence before modification from the text object of the page data before modification (step S102). Further, the first extraction unit 141 extracts the modified sentence from the text object of the modified page data having the same ID as the sentence before the modification (step S103).

Here, the first extraction unit 141 linguistically analyzes the sentence before modification (step S104). Similarly, the first extraction unit 141 linguistically analyzes the modified sentence (step S105). Then, the first extraction unit 141 stores the corrected word and the related information of each node in the error word DB 131 based on the analysis result of each sentence (step S106).

When the extraction process for all the text objects is completed (step S107, Yes), the first extraction unit 141 ends the process. On the other hand, when the extraction process is not completed for all the text objects (step S107, No), the first extraction unit 141 returns to step S102 and repeats the process.

The flow of the extraction process by the second extraction unit 142 will be described with reference to FIG. FIG. 12 is a flowchart showing the flow of the error word extraction process. As shown in FIG. 12, first, the second extraction unit 142 extracts the corrected sentence from the corrected article (step S201). Next, the second extraction unit 142 linguistically analyzes the corrected sentence (step S202).

Here, the second extraction unit 142 extracts related information from the date node and the surface node of the language analysis result (step S203). Further, the second extraction unit 142 extracts words before and after the correction from the node corresponding to the From node (step S204). Then, the second extraction unit 142 stores the corrected word and the related information in the error word DB 131 (step S205).

The flow of the dictionary information creation process by the generation unit 143 and the creation unit 144 will be described with reference to FIG. FIG. 13 is a flowchart showing the flow of the dictionary information creation process. As shown in FIG. 13, first, the creating unit 144 extracts the uncorrected term (A) from the error word DB 131 (step S301), and sets the reading (B) and the part of speech (C) of the uncorrected term (A). (Step S302). In addition, the generation unit 143 generates a comment (E) from the modified term (D) corresponding to the unmodified term (A) and related information (step S303).

The creation unit 144 stores (A) to (D) in the pre-dictionary conversion DB (step S304). Then, when all the terms are extracted (step S305, Yes), the creation unit 144 proceeds to step S306. On the other hand, when the creation unit 144 has not extracted all the terms (step S305, No), the creation unit 144 returns to step S301 and repeats the process.

The creation unit 144 outputs the pre-dictionary conversion DB to a file (step S306), calls the dictionary tool of the kana-kanji conversion system 40, passes the output file, and causes the error word-kanji dictionary 41 to be created (step S307).

The first extraction unit 141 and the second extraction unit 142 may select and extract only words that meet a predetermined condition. This is because, for example, even if a numerical error or a one-character particle error is included in the dictionary information and the comment is displayed, it is considered that it does not contribute to the prevention of word error.

FIG. 14 is a flowchart showing the flow of the selection process of the target word. Here, the case where the first extraction unit 141 performs the selection process will be described, but it is assumed that the second extraction unit 142 also performs the same selection process.

First, as shown in FIG. 14, the first extraction unit 141 turns on the flag (step S401). Then, when any of the words before and after the correction is an empty string (step S402, Yes), the first extraction unit 141 turns off the flag (step S406). Further, when the word before and after the correction is one character (step S403, Yes), the first extraction unit 141 turns off the flag (step S406). Further, when the word before correction is a number (step S404, Yes), the first extraction unit 141 turns off the flag (step S406). If the readings of the words before and after the correction are different (step S405, No), the first extraction unit 141 turns off the flag (step S406).

When each condition is not satisfied (step S402 is No, step S403 is No, step S404 is No, and step S405 is Yes), the first extraction unit 141 leaves the flag ON. Then, the first extraction unit 141 extracts the word when the flag is ON, and does not extract the word when the flag is OFF.

The flow of display processing by the display device 60 will be described with reference to FIG. FIG. 15 is a flowchart showing the flow of display processing. As shown in FIG. 15, first, the display device 60 accepts the input of a word (step S601). Next, the display device 60 searches the dictionary information 631 for the comment associated with the received word (step S602).

If a comment is present (step S603, Yes), the display device 60 displays the searched comment following the input word (step S604). If the comment does not exist (step S603, No), the display device 60 ends the display process without displaying the comment.

[effect]
The display device 60 searches the dictionary information 631 in which the word and the comment are associated with each other for the word input received in the creation of the publication. Dictionary information 631 is generated based on a review or corrected article of a past publication related to the publication. The display device 60 displays the searched comment following the word for which the input is accepted. In this way, the display device 60 displays comments for error prevention in real time during the writing of the publication. Therefore, according to the embodiment, it is possible to efficiently prevent word errors.

The display device 60 searches the dictionary information 631 in which the character string before conversion and the comment are associated with the comment corresponding to the character string before conversion that has received the input. In this way, since the display device 60 can display the comment before the conversion, it is possible to prevent an error.

The creation device 10 refers to the database in which the publication is accumulated, and extracts the first word described in the publication and the second word before the change due to the correction or correction of the first word. The creator 10 generates a message indicating that the first word is correct and the second word is incorrect. The creation device 10 creates dictionary-formatted data including the first word and message. In this way, the creation device 10 creates data for error prevention based on the page data before and after the correction and the past correction articles. Therefore, the creating device 10 can improve the accuracy of error prevention with the accumulation of page data and corrected articles.

The display mode of the comment by the display device 60 is not limited to that shown in FIG. For example, as shown in FIG. 16, the display device 60 may display a comment when a kana is input and a list of conversion candidates is displayed. Further, as shown in FIG. 17, the display device 60 may display a comment following the same conversion candidate as the comment error example among the conversion candidates.

[system]
The processing procedure, control procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. In addition, the specific examples, distributions, numerical values, etc. described in the examples are merely examples and can be arbitrarily changed.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific forms of distribution and integration of each device are not limited to those shown in the figure. That is, all or a part thereof can be functionally or physically distributed / integrated in an arbitrary unit according to various loads, usage conditions, and the like. Further, each processing function performed by each device may be realized by a CPU and a program analyzed and executed by the CPU, or may be realized as hardware by wired logic.

[hardware]
FIG. 18 is a diagram illustrating a hardware configuration example. As shown in FIG. 14, the display device 60 includes a communication interface 60a, an HDD (Hard Disk Drive) 60b, a memory 60c, and a processor 60d. Further, the parts shown in FIG. 18 are connected to each other by a bus or the like.

The communication interface 60a is a network interface card or the like, and communicates with another server. The HDD 60b stores a program or DB that operates the function shown in FIG.

The processor 60d reads a program that executes the same processing as each processing unit shown in FIG. 9 from the HDD 60b or the like and expands it in the memory 60c to operate a process that executes each function described in FIG. 9 or the like. That is, this process executes the same function as each processing unit of the display device 60. Specifically, the processor 60d reads a program having the same functions as the document creation unit 641, the search unit 642, and the display unit 643 from the HDD 60b or the like. Then, the processor 60d executes a process of executing the same processing as the document creation unit 641, the search unit 642, the display unit 643, and the like. The processor 60d is, for example, a hardware circuit such as a CPU, an MPU, or an ASIC.

In this way, the display device 60 operates as an information processing device that executes the classification method by reading and executing the program. Further, the display device 60 can realize the same function as that of the above-described embodiment by reading the program from the recording medium by the medium reading device and executing the read program. The program referred to in the other embodiment is not limited to being executed by the display device 60. For example, the present invention can be similarly applied when another computer or server executes a program, or when they execute a program in cooperation with each other.

This program can be distributed via a network such as the Internet. In addition, this program is recorded on a computer-readable recording medium such as a hard disk, flexible disk (FD), CD-ROM, MO (Magneto-Optical disk), or DVD (Digital Versatile Disc), and is recorded from the recording medium by the computer. It can be executed by being read.

1 Word error prevention system 10 Creation device 11, 61 Input unit 12, 62 Output unit 13, 63 Storage unit 14, 64 Control unit 20 Paper production system 21, 42 Shared folder 30 Article search system 31 Past article DB
40 Kana-Kanji conversion system 41 Error word Kanji dictionary 50 Dictionary distribution system 60 Display device 131 Error word DB
140 Extraction unit 141 First extraction unit 141a Sentence extraction unit 141b, 142a Language analysis unit 141c Semantic structure comparison unit 142 Second extraction unit 142b Correction target word extraction unit 143 Generation unit 144 Creation unit 631 Dictionary information 641 Document creation unit 642 Search unit 643 Display unit

Claims (5)

A dictionary in which words and comments are linked to words that are input in the creation of a publication, which are dictionary information generated based on proofreading or corrected articles of past publications related to the publication. Search from information,
Following the word for which input is accepted, the comment searched by the search process is displayed.
A display program characterized by having a computer perform processing. The process according to claim 1, wherein the search process searches for a comment corresponding to the character string before conversion that has received input from the dictionary information in which the character string before conversion and the comment are associated with each other. Display program. A dictionary in which words and comments are linked to words that are input in the creation of a publication, which are dictionary information generated based on proofreading or corrected articles of past publications related to the publication. Search from information,
Following the word for which input is accepted, the comment searched by the search process is displayed.
A display method characterized by the processing being performed by a computer. A dictionary in which words and comments are linked to words that are input in the creation of a publication, which are dictionary information generated based on proofreading or corrected articles of past publications related to the publication. Search section to search from information and
A display unit that displays the comment searched by the search unit following the word that received the input, and
A display device characterized by having. With reference to the database in which the publications are accumulated, the first word described in the publication and the second word before the change due to the correction or correction of the first word are extracted.
Generates a message indicating that the first word is correct and the second word is incorrect.
A creation program comprising causing a computer to execute a process of creating dictionary-formatted data including the first word, the second word, and the message.

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