JP2012221285A - Document generation support method, document generation support device and document generation support program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support creation of converted document data obtained through conversion from document data according to appropriate difficulty.SOLUTION: A document generation support method includes: a target word extraction step for extracting a target word in target word data 12a from document data 11a, and storing the extracted target word in to-be-used word data 13a; and a conversion step for extracting complexity of a to-be-used word included in the to-be-used word data 13a, extracting a to-be-converted word, which is a synonym of the to-be-used word and whose complexity is in a range of reference complexity, from synonym data 15a when the extracted complexity of the to-be-used word is outside the range of reference complexity, and outputting converted document data 16a obtained by converting the target word in the document data 11a into the extracted to-be-converted word.

Description

  The present invention relates to a document generation support method, a document generation support apparatus, and a document generation support program that support generation of converted document data converted from document data to an appropriate difficulty level.

  In general, when generating a document, it is necessary to use words according to the reader's level of understanding. Therefore, when the word used in the document is not appropriate, the creator needs to replace it with an appropriate word or other expression using a synonym dictionary or the like.

  Therefore, there is a method of outputting a document analysis result indicating whether or not the reader can easily understand based on the familiarity of words used in the document (see, for example, Patent Document 1). This patent document 1 divides a document in units of words, and calculates the closeness of words included in each analysis candidate from analysis candidates having a plurality of different analysis structures for each of the division candidates divided in units of words. To do. Furthermore, the technique described in Patent Document 1 outputs a division candidate that has the lowest average familiarity of each word.

  Here, the word familiarity is an index indicating how difficult the word is for the reader (for example, see Non-Patent Document 1). The method described in Non-Patent Document 1 calculates the word familiarity for each word in advance, so that the word familiarity is low for familiar words, and the word familiarity is high for unfamiliar words. Thus, it can be determined whether or not each word is a familiar word.

JP 2007-11774 A

Sato, Kasahara, Kanesugi, Amano, “Selection of basic vocabulary based on word familiarity”, Journal of the Japanese Society for Artificial Intelligence, Vol. 19, no. 6, pp. 502-510, 2004

  However, the method described in Patent Document 1 only outputs a document analysis result indicating whether or not the reader can easily understand, and does not output a document appropriate for the reader.

  In particular, in technical documents such as instruction manuals and maintenance manuals, when technical terms including concepts that cannot be understood by readers using the technical documents are used, there is a problem that it is difficult for the readers to understand the technical documents. In general, it is often up to the creator to determine what technical terms are used when creating a technical document. However, it is difficult to determine how difficult various technical terms are to understand, and words of inappropriate difficulty are often used.

  For example, in a manual that is assumed to be used by a general user, using technical terms that are difficult for a general user to understand makes it very difficult to understand. On the other hand, if the same contents are explained in general terms without using technical terms, there are problems that the explanation becomes redundant and that accurate explanation becomes difficult.

  Accordingly, an object of the present invention is to provide a document generation support method, a document generation support apparatus, and a document generation support program for generating converted document data converted from document data to an appropriate difficulty level.

  In order to solve the above-mentioned problem, a first feature of the present invention relates to a document generation support method for supporting generation of converted document data converted from document data to an appropriate difficulty level. The first feature of the present invention is that a target word included in target word data in which a target word to be converted is associated with complexity of the target word is extracted from the document data, and used word A target word extraction step to be stored in the data, and for the use target word included in the use target word data, the complexity of the use target word is extracted, and the extracted complexity of the use target word is used for the conversion document data If the word complexity is outside the range of the reference complexity, the synonym data that associates the synonym of the target word, and the conversion target word within the reference complexity range that is a synonym of the target word And a conversion step of outputting converted document data obtained by converting the target word in the document data into the extracted conversion target word.

  Here, when the complexity of the extracted use target word is outside the range of the reference complexity, and the synonym data has no conversion target word within the reference complexity that is a synonym of the use target word The fact that conversion is not possible may be output to the converted document data without converting the target word in the document data.

  In addition to previewing the converted document data, if the converted document data contains words to be used that are outside the standard complexity range, the words to be used are replaced with meaningless character strings and displayed on the display device. An output step may be further included.

  The target word included in the target word data and the complexity of the target word are displayed in association on the display device, and the reference complexity range specified by the operator is set in the reference complexity data. A reference complexity setting step may be further included.

  The second feature of the present invention relates to a document generation support apparatus that supports generation of converted document data converted from document data to an appropriate difficulty level. The document generation support apparatus according to the second feature of the present invention is a target word in which a document data storage unit storing document data, a target word to be converted, and a complexity of the target word are associated with each other. A target word data storage unit in which data is stored; a reference complexity data storage unit in which reference complexity data including a reference complexity range that serves as a reference for a range of complexity of target words used for converted document data is stored; A synonym data storage unit storing synonym data in which synonyms of the target word are associated, and target word extracting means for extracting the target word included in the target word data from the document data and storing it in the target word data When the complexity of the target word is extracted from the target word included in the target word data, and the complexity of the extracted target word is out of the reference complexity range, A conversion target word that is a synonym of the target word and that is within the range of the reference complexity is extracted from the data, and converted document data obtained by converting the target word in the document data into the extracted conversion target word is output. Means.

  Here, when the complexity of the extracted use target word is outside the range of the reference complexity, and the synonym data has no conversion target word within the reference complexity that is a synonym of the use target word The fact that conversion is not possible may be output to the converted document data without converting the target word in the document data.

  In addition to previewing the converted document data, if the converted document data contains words to be used that are outside the standard complexity range, the words to be used are replaced with meaningless character strings and displayed on the display device. Output means may be further provided.

  The target word included in the target word data and the complexity of the target word are displayed in association on the display device, and the reference complexity range specified by the operator is set in the reference complexity data. Reference complexity setting means may be further provided.

  A third feature of the present invention relates to a document generation support program for causing a computer to execute the steps described in the first feature of the present invention.

  According to the present invention, it is possible to provide a document generation support method, a document generation support apparatus, and a document generation support program for generating converted document data converted to an appropriate difficulty level from document data.

It is a flowchart explaining the outline | summary of a process of the document generation assistance method which concerns on embodiment of this invention. It is a functional block diagram of the document generation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the data of the document data which concerns on embodiment of this invention. It is a figure explaining an example of data structure and data of object word data concerning an embodiment of the invention. It is a figure explaining an example of use object word data concerning an embodiment of the invention. It is a figure explaining an example of the reference | standard complexity data which concern on embodiment of this invention. It is a figure explaining an example of data structure and data of synonym dictionary data concerning an embodiment of the invention. It is a figure explaining an example of the reference | standard complexity setting screen which the document generation assistance apparatus concerning embodiment of this invention displays. It is a figure explaining an example of the data of the conversion document data which concerns on embodiment of this invention. It is a figure explaining an example of the display screen which displays the conversion document data which concerns on embodiment of this invention.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

(Document generation support method)
The document generation support method according to the embodiment of the present invention generates converted document data converted from document data to an appropriate difficulty level. As a result, the document generation support method according to the embodiment of the present invention can output document data that can be easily understood by the reader. This document data is, for example, data of a document distributed to a general user by an expert. Specifically, the document data is an instruction manual of the device or a maintenance manual.

  With reference to FIG. 1, an outline of a document generation support method according to an embodiment of the present invention will be described. The document generation support method shown in FIG. 1 is realized by the text generation support apparatus 1 shown in FIG.

  First, in step S1, the document generation support device 1 acquires document data 11a to be converted, and in step S2, acquires a use target word that is a target word to be converted from the document data 11a. In step S3, use target word data 13a including the target word acquired in step S2 is stored in the storage device 10. Further, the document generation support apparatus 1 acquires the reference complexity data 14a in step S4. The reference complexity data 14a is the complexity of the target word used for the document data, and is a data in which a range of complexity of the target word appropriate for the reader of the document data assumed by the creator is set.

  Next, the process of step S5 thru | or step S8 is repeated about all the target words contained in use object word data 13a, specifically, all the target words contained in the document data 11a. First, in step S5, the document generation support apparatus 1 determines whether the use target word is within the range set in the reference complexity setting data 14a. If it is within the range, the process from step S5 to step S8 is repeated for the next word to be used.

  On the other hand, when it is out of the range, in step S6, the document generation support apparatus 1 searches for a synonym of the use target word that is within the reference complexity range. When a synonym is searched, in step S7, the use target word is replaced with the searched synonym. On the other hand, if no search is made, a message indicating that the replacement cannot be performed is output in step S8.

  When the processing from step S5 to step S8 is completed for all words to be used, converted document data 16a is output in step S9. In principle, the target word used in the converted document data 16a is within the preset reference complexity range. If the word is a target word outside the range of the reference complexity and there is no synonym within the range of the reference complexity, the target word is exceptionally included. In addition, the use target word outside the range of the reference complexity of the converted document data 16a may include a comment or the like indicating that the conversion could not be performed.

  In step S10, the document generation support device 1 displays the converted document data 16a output in step S9 on the display device 40. Here, the document generation support apparatus 1 may display not only the converted data of the converted document data 16a but also the difference between the converted document data 16a from the document data 11a. Further, in step S8, the target word that is set as not replaceable may be replaced with a meaningless character string and displayed. Thereby, a creator can be made to simulate how a reader looks.

(Document generation support device)
With reference to FIG. 2, the document generation assistance apparatus 1 which concerns on embodiment of this invention is demonstrated. The document generation support apparatus 1 according to the embodiment of the present invention is a general computer including a storage device 10, a central processing control device 20, an input device 30, and a display device 40. The document generation support apparatus 1 is implemented by installing a document generation support program for executing a predetermined process in a general computer. The input device 30 is a mouse, a keyboard or the like, and the display device 40 is a liquid crystal display or the like.

  The storage device 10 includes a document data storage unit 11, a target word data storage unit 12, a use target word data storage unit 13, a reference complexity data storage unit 14, a synonym data storage unit 15, and a converted document data storage unit 16. The storage device 10 also stores a document generation support program.

  The document data storage unit 11 is a storage area in the storage device 10 in which the document data 11a is stored. The document data 11a is document data that is the basis of the converted document data 16a that is supported by the document generation support apparatus 1 according to the embodiment of the present invention. The document data 11a is data created by the creator. The document data 11a may be in any format that allows the document generation support apparatus 1 to identify and edit the characters included in the document data 11a. The document data 11a is, for example, a text format, an HTML format, a format for a document generation application program, a PDF format, or the like.

  The document data 11a is data shown in FIG. 3, for example. The document data 11a shown in FIG. 3 is in the HTML format. The document data 11a is document data itself created by the creator. The document data 11a also includes target words outside the range of the reference complexity.

  The target word data storage unit 12 is a storage area in the storage device 10 in which target word data 12a is stored. The target word data 12a is data in which the target word to be converted by the document generation support apparatus 1 according to the embodiment of the present invention is associated with the complexity of the target word.

  The target word data 12a is, for example, data shown in FIG. In the target word data 12a shown in FIG. 4, the target word is associated with its complexity. The target word is, for example, a technical term or the like, and is a word whose degree of understanding varies greatly depending on the knowledge of the reader. This complexity is calculated based on the word familiarity, for example. In the example shown in FIG. 4, this complexity is lower as it is closer to 0 and higher as it is closer to 1.

  The use target word data storage unit 13 is a storage area in the storage device 10 in which the use target word data 13a is stored. The use target word data 13a is a target word used in the document data 11a among the target words included in the target word data 12a.

  The use target word data 13a is, for example, data shown in FIG. The use target word data 13a shown in FIG. 5 includes the target words used in the document data 11a shown in FIG. In the example shown in FIG. 5, the words to be used are “PC”, “Internet” (registered trademark), “wired LAN”, and the like. In FIG. 5, “/ (slash)” is used as a character delimiter for these words to be used, but this is not restrictive. For example, a line break, a space, a comma, or the like may be used as a character delimiter for the use target word.

  The reference complexity data storage unit 14 is a storage area in the storage device 10 in which the reference complexity data 14a is stored. The reference complexity data 14a is data including a reference complexity range that serves as a reference for the complexity range of the target word used for the converted document data 16a. The reference complexity data 14a may be stored in the storage device 10 in advance, or may be set from the input device 30 by the creator in the reference complexity setting unit 23 described later.

  The reference complexity data 14a is, for example, data shown in FIG. The reference complexity data 14a shown in FIG. 6 indicates that the converted document data 16a is generated such that the complexity of the word to be used included in the converted document data 16a is “0.0 to 0.4”. ing. However, if there is no synonym included in the range of the reference complexity as in step S8 shown in FIG. 1, the converted document data 16a may include a target word outside the range of the reference complexity.

  The synonym data storage unit 15 is a storage area in the storage device 10 in which synonym data 15a is stored. The synonym data 15a is data in which synonyms of the target word are associated with each other. The synonym data 15a is data that associates target words having the same concept among the target words included in the target word data 12a.

  The synonym data 15a is, for example, data shown in FIG. The synonym data 15a shown in FIG. 7 includes a plurality of groups in which a plurality of target words are associated. In the example shown in FIG. 7, the group a associates the target words “PC”, “PC”, and “Computer”. These target words “PC”, “PC”, and “computer” are synonyms having the same concept. Similarly, in group b, group c,..., A plurality of target words that are synonyms are associated with each other.

  The converted document data storage unit 16 is a storage area in the storage device 10 in which the converted document data 16a is stored. The converted document data 16a is data obtained by converting the word to be used included in the document data 11a from the document data 11a so as to be within the range of the reference complexity by the document generation support apparatus 1 according to the embodiment of the present invention. is there. The converted document data 16a will be described in detail later.

  The central processing control device 20 includes a document acquisition unit 21, a target word extraction unit 22, a reference complexity setting unit 23, a conversion unit 24, and an output unit 25.

  The document acquisition unit 21 acquires the document data 11 a and stores it in the document data storage unit 11. For example, the document acquisition unit 21 may be a unit that specifies the document data 11a to be processed by the document generation support apparatus 1 according to the embodiment of the present invention by the operation of the creator.

  The target word extraction means 22 extracts the target word contained in the target word data 12a from the document data 11a and stores it in the use target word data 13a.

  For example, the target word extracting unit 22 reads the document data 11a, performs morpheme analysis, divides the document data 11a into each morpheme, and specifies the part of speech of each morpheme. This morphological analysis method may be an existing method. The target word extraction unit 22 extracts only nouns from the document data 11a based on the result of morphological analysis. The target word extraction means 22 compares the noun extracted from the document data 11a with the target word included in the target word data 12a, matches the noun extracted from the document data 11a, and selects the target word included in the target word data 12a. Extract. When the target word extraction unit 22 extracts the target word used in the document data 11a, the target word extraction unit 22 outputs the extracted target word as the use target word data 13a.

  The reference complexity setting means 23 is used when setting the reference complexity for the document data 11a. The reference complexity setting unit 23 displays the target word included in the use target word data 13a and the complexity of the use target word on the display device 40 in association with each other, and has the reference complexity specified by the creator. The range is set in the reference complexity data 14a.

  The reference complexity setting screen P101 displayed on the display device 40 by the reference complexity setting unit 23 will be described with reference to FIG. In the reference complexity setting screen P101, the usage target words included in the usage target word data 13a are displayed. This use target word is displayed in association with the complexity set in the target word data 12a. In the example shown in FIG. 8, an axis describing complexity is displayed on the left side of the screen. The complexity of the word to be used displayed at the top of the screen is high, and the complexity of the word to be used is low as it goes to the bottom of the screen. In the reference complexity setting screen P101, reference complexity setting buttons B101a and B101b are displayed. The creator operates the reference complexity setting button B101a using the input device 30 such as a mouse to determine the upper limit value of the reference complexity setting value, and operates the reference complexity setting button B101b to Determine the lower limit of the complexity setting. The reference complexity setting means 23 records the complexity range indicated by the reference complexity setting buttons B101a and B101b as the reference complexity range in the reference complexity data 14a.

  The conversion means 24 extracts the complexity of the use target word for the use target word included in the use target word data 13a. When the complexity of the extracted use target word is outside the range of the reference complexity, the conversion unit 24 extracts a conversion target word that is a synonym of the use target word and within the reference complexity range from the synonym data 15a. To do. The conversion unit 24 outputs converted document data 16a obtained by converting the target word in the document data 11a into the extracted conversion target word.

  Further, the conversion means 24 has a complexity of the extracted use target word outside the range of the reference complexity, and the synonym data 15a has no conversion target word that is a synonym of the use target word and within the reference complexity range. In this case, the converted document data 16a is output to the converted document data 16a to the effect that conversion is not possible without converting the target word in the document data 11a. Here, the fact that conversion is not possible means, for example, a character string or symbol indicating whether the target word in the document data 11a that could not be converted is lower than the lower limit value or higher than the upper limit value of the reference complexity range. It is data.

  For example, the document data 11a shown in FIG. 3 will be described. One of the target words used in the document data 11a is “PC” as shown in FIG. The conversion unit 24 reads the target word data 12a from the storage device 10, and acquires the complexity “0.5” of the use target word “PC”. On the other hand, the reference complexity data 14a is set to “0.0 to 0.4” as shown in FIG. Here, since the complexity of the use target word “PC” is “0.5”, it is out of the range of the reference complexity and becomes a conversion target.

  Therefore, the conversion unit 24 reads the synonym data 15a and the target word data 12a from the storage device 10, and is a synonym of the use target word “PC” and has a complexity of “0.0 to 0.4”. To extract. In the synonym data 15a shown in FIG. 7, “PC” and “computer” are associated as synonyms for the target word “PC”. Here, in the target word data 12a shown in FIG. 4, the complexity of the target word “PC” is 0.2, which is within the range of the reference complexity. On the other hand, the complexity of the target word “computer” is 0.6, which is outside the range of the standard complexity. Therefore, the conversion means 24 converts the target word “PC” used in the document data 11a into “personal computer” to generate converted document data 16a.

  The complexity comparison and replacement process is repeated for all words to be used included in the document data 11a.

  In this example, “PC” is the only synonym included in the standard complexity range, but there may be a plurality of synonyms included in the standard complexity range. In that case, the conversion means 24 needs to select one use target word to be used in the converted document data 16a from a plurality of synonyms included within the range of the reference complexity. For example, the converting unit 24 may use the synonym having the lowest complexity among the plurality of synonyms included in the range of the reference complexity in the converted document data 16a, or the highest in the median of the range of the reference complexity. Close synonyms may be used for the converted document data 16a. Further, the creator may specify in advance the processing of the conversion means 24 when there are a plurality of synonyms included within the range of the reference complexity.

  If there is no synonym included within the range of the reference complexity, the conversion unit 24 cannot find the target word to be converted and cannot convert it. Therefore, the conversion means 24 outputs that the synonym does not exist in association with this use target word. For example, the conversion means 24 may output list data of words to be used that could not be converted, or may add the information to the converted document data 16a.

  Here, an example of the conversion data 16a will be described with reference to FIG. The example shown in FIG. 9 is converted document data 16a to which a conversion history is added. The conversion data 16a shown in FIG. 9 includes the conversion history of the words to be used from the document data 11a shown in FIG. Specifically, the word “PC” to be used in the document data 11a is converted to “PC”. The converted “computer” of the converted document data 16a shown in FIG. 9 is underlined to indicate that it has been converted.

  Further, the data “[← PC]” follows the converted “personal computer”. These “[” and “]” are delimiters indicating that the conversion history or the like has been inserted into the character string “[” to “]” by the conversion means 24. “← PC” indicates that “PC” of the document data 11a is converted to “PC”.

  Here, in the example shown in FIG. 9, a character string “[difficult]” is added to “wired LAN”, “wireless LAN”, and the like. This “[difficult]” means that the words “wired LAN”, “wireless LAN”, etc. used immediately before this character string are out of the standard complexity range, and within the standard complexity range from the synonym data 15a. This indicates that it is a use target word that could not be obtained. The character string “[difficult]” is an example of “cannot be replaced” described in step S8 in FIG. The use target words that could not be converted in this way are also underlined.

  In the example shown in FIG. 9, “wired LAN”, “wireless LAN”, and the like are target words having a complexity exceeding the upper limit of the reference complexity, so the conversion unit 24 adds “[difficult]” to these words. Output with the character string added. On the other hand, a character string of “[Easy]” may be added to words to be used that have complexity below the lower limit of the range of the reference complexity and for which synonyms could not be acquired. In this way, the character string added by the conversion means 24 is changed depending on whether it exceeds or falls below the reference complexity range. As a result, the document generation support apparatus 1 can support the creator so as to create document data that matches the reference complexity. Specifically, the creator can add an annotation to a use target word that exceeds the reference complexity range, and examine the conversion target word for the use target word that falls below the reference complexity range.

  The output unit 25 displays the converted document data 16a on the display device 40 as a preview. FIG. 10A illustrates an example in which the converted document data 16a is displayed as a preview. In FIG. 10A, the conversion history and underline are removed. By such a preview display, the creator can check the converted document.

  Further, the output means 25 may display the display device 40 including the conversion history as shown in FIG. With such a display, the creator can check the history converted by the conversion unit 24 of the document generation support apparatus 1.

  Further, when the conversion document data 16a includes a use target word outside the range of the reference complexity, the output unit 25 replaces the use target word with a meaningless character string and displays the replacement target word on the display device 40. May be. Here, the use target word outside the range of the reference complexity included in the converted document data 16a is a use target word outside the range of the reference complexity of the document data 11a, and the range of the reference complexity from the synonym data 15a. This is a target word for which a synonym within the word could not be acquired. In the example shown in FIG. 9, words such as “wireless LAN”, “wired LAN”, etc., with the character string “[difficult]” attached thereto. Since these character strings are outside the range of the standard complexity, it is considered that the characters become meaningless when read by the reader assumed by the creator. Therefore, the output unit 25 can simulate the impression that the reader has read the converted document data 16a by expressing such a character string as a meaningless character string.

  With reference to FIG. 10B, the simulation display screen P103 will be described. A simulation display screen P103 shown in FIG. 10B is a simulation display of the converted document data 16a described with reference to FIG. In the converted document data 16a shown in FIG. 9, for character strings to be used such as “wireless LAN” and “wired LAN” to which the character string “[difficult]” is attached, instead of these character strings to be used, “ ● A meaningless character string such as “X △ ◎” or “☆ △ ○ ■” is displayed. In this manner, the appearance of the reader can be simulated by replacing a target word outside the range of the reference complexity, which cannot be converted into a synonym, with a meaningless character string and displaying it. . Thus, the creator can confirm the finish of the converted document data 16a, and can determine whether or not the document data 11a itself needs to be corrected, if necessary.

  As described above, according to the document generation support device 1 according to the embodiment of the present invention, words that are candidates for conversion, such as technical terms, are extracted from the document data created by the creator and set as target words. By using the complexity, it is possible to determine whether or not a word having an appropriate complexity is used for the reader assumed by the creator.

  The document generation support apparatus 1 can extract a word having an inappropriate complexity for the reader from the document data 11a, and if there is an appropriate synonym, the document generation support apparatus 1 can convert the synonym and output the document conversion data 16a. As a result, it is possible to automatically output converted document data using words within the reference complexity without the creator's work.

  Even if it cannot be converted into an appropriate synonym, for example, a character string “[difficult]” is added to the word to be used that has a complexity that exceeds the upper limit of the reference complexity, and falls below the lower limit of the reference complexity. A character string “[Easy]” is added to the target word having complexity. As a result, the document generation support apparatus 1 can prompt the creator to appropriately correct the document data even when there is no appropriate synonym.

  Furthermore, even when the use target word outside the range of the reference complexity cannot be converted into an appropriate synonym, the document generation support device 1 converts the use target word into a meaningless character string, thereby Simulation can be performed to prompt the creator to correct the document data as necessary. This can prevent the creation of document data that is difficult for the reader to understand.

  As described above, according to the document generation support apparatus 1 according to the embodiment of the present invention, the converted document data 16a converted to an appropriate difficulty level can be generated from the document data 11a.

(Other embodiments)
As described above, the embodiments of the present invention have been described. However, it should not be understood that the descriptions and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, the document generation support apparatus described in the best embodiment of the present invention may be configured on a single piece of hardware as shown in FIG. 2, or a plurality of pieces of hardware depending on the functions and the number of processes. It may be configured above. Moreover, you may implement | achieve on the existing information processing system.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

DESCRIPTION OF SYMBOLS 1 Document production | generation assistance apparatus 10 Storage apparatus 11 Document data storage part 12 Target word data storage part 13 Use object word data storage part 14 Reference | standard complexity data storage part 15 Synonym data storage part 16 Conversion document data storage part 20 Central processing control apparatus 21 Document acquisition means 22 Target word extraction means 23 Reference complexity setting means 24 Conversion means 25 Output means 30 Input device 40 Display device

Claims (9)

A document generation support method for supporting generation of converted document data converted from document data to an appropriate difficulty level,
A target word extraction step of extracting a target word included in target word data in which a target word to be converted and a complexity of the target word are associated from the document data, and storing the target word in the target word data When,
For the use target word included in the use target word data, the complexity of the use target word is extracted, and the extracted complexity of the use target word is a criterion for the range of complexity of the target word used for the converted document data If it is outside the range of the reference complexity, the synonym data corresponding to the synonym of the target word is extracted from the synonym data of the target word and the conversion target word within the reference complexity range, and the document data A document generation support method comprising: a conversion step of outputting converted document data obtained by converting the target word in the extracted conversion target word. In the conversion step, when the complexity of the extracted use target word is outside the range of the reference complexity, the synonym data includes a synonym of the use target word and a conversion target word within the reference complexity range. 2. The document generation support method according to claim 1, wherein if there is not, the fact that conversion is not possible is output to the converted document data without converting the target word in the document data. A preview display of the converted document data, and when the converted document data includes a target word outside the range of the reference complexity, the target word is replaced with a meaningless character string and displayed. The document generation support method according to claim 2, further comprising an output step of displaying on the apparatus. The use target word included in the use target word data and the complexity of the use target word are displayed in association with each other on the display device, and the reference complexity range specified by the operator is displayed on the reference complexity data. The document generation support method according to claim 1, further comprising: a reference complexity setting step for setting to A document generation support device that supports generation of converted document data converted from document data to an appropriate difficulty level,
A document data storage unit storing the document data;
A target word data storage unit that stores target word data in which target words to be converted are associated with the complexity of the target words;
A reference complexity data storage unit in which reference complexity data including a reference complexity range that is a reference of a complexity range of a target word used for converted document data is stored;
A synonym data storage unit storing synonym data in which synonyms of the target word are associated;
A target word extracting means for extracting a target word contained in the target word data from the document data and storing the target word in the target word data;
For the use target word included in the use target word data, the complexity of the use target word is extracted, and when the extracted complexity of the use target word is outside the range of the reference complexity, from the synonym data, A conversion unit that extracts a conversion target word that is a synonym of the use target word and is within the range of the reference complexity, and outputs converted document data obtained by converting the target word in the document data into the extracted conversion target word A document generation support apparatus comprising: The conversion means has the extracted complexity of the use target word outside the range of the reference complexity, and the synonym data includes a synonym of the use target word and a conversion target word within the range of the reference complexity. 6. The document generation support apparatus according to claim 5, wherein if there is no conversion, the fact that the target word in the document data cannot be converted is output to the converted document data without conversion. A preview display of the converted document data, and when the converted document data includes a target word outside the range of the reference complexity, the target word is replaced with a meaningless character string and displayed. The document generation support apparatus according to claim 6, further comprising output means for displaying on the apparatus. The use target word included in the use target word data and the complexity of the use target word are displayed in association with each other on the display device, and the reference complexity range specified by the operator is displayed on the reference complexity data. The document generation support apparatus according to claim 5, further comprising reference complexity setting means for setting to   A document generation support program for causing a computer to execute the steps according to any one of claims 1 to 4.

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