JP2002259368A - Method and device for working document cipher, document cipher working processing program and recording medium therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily distribute a document by providing automatic cipher working processing for a privacy information part in the document. SOLUTION: This device is provided with a means 111 for storing a word (replacing word) for replacing a relevant word set by a user unspecifiably in a word dictionary 130 and performing morpheme analysis concerning an input document while referring to the word dictionary, a means 112 for extracting a peculiar noun part concerning privacy information on the basis of the morpheme analysis result, a means 122 for working the replacing word of the extracted peculiar noun part into cipher by acquiring it from the word dictionary, further, means 123, 124 and 125 for replacing the extracted peculiar noun part into unspecifiable symbol, alphabet letter or initial letter and a means 121 for selecting any one of the means 122-125 corresponding to the kind of a working target character string or the like.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for processing a character in a document, and more particularly, to a method for processing a character in a document, which can avoid infringement of privacy information by performing a character processing on a document content. The present invention relates to a document processing device, a program therefor, and a program recording medium.

[0002]

2. Description of the Related Art If an existing electronic document (hereinafter simply referred to as "document") is to be distributed as it is via a company newsletter, the Internet, an e-mail attachment, or the like, privacy information of a proper noun may be violated depending on the document. . Conventionally, to avoid this, a human has taken measures by extracting a proper noun part relating to privacy information contained in a document one by one and replacing it with a symbol or the like.

[0003]

In the prior art,
Manual extraction of the proper noun part of the privacy information contained in the document and processing of the hidden character are performed manually, which is complicated and error-prone. There was a problem that it was difficult to make it.

An object of the present invention is to solve such a problem, and to automatically inflict processing a document to avoid invasion of privacy information and facilitate distribution of the document. And

[0005]

According to the present invention, there is provided a word dictionary for morphological analysis in which a personal computer, a net terminal, or another document creation / editing device stores a replacement word for replacing a word in a non-specifiable manner in correspondence with a word. A function of performing a morphological analysis on the input document with reference to the word dictionary and extracting a proper noun part relating to privacy information based on the result of the morphological analysis; The most main feature of the present invention is to provide a function of obtaining a replacement word for performing a character string processing from a word dictionary, and using the obtained replacement word to make a character string of a proper noun part unprintable.

First, a proper noun portion relating to privacy information (a proper noun relating to portrait right, company information and personal information relating to honor, etc.) is extracted from an input document based on a word dictionary. Next, a replacement word is obtained from the word dictionary with respect to the extracted proper noun part of the privacy information, and the substitute word is subjected to a lowercase letter processing so that the proper noun part of the privacy information cannot be specified. I do. For a desired word in the word dictionary, the user sets in advance an arbitrary word that replaces the word unspecified. This can be easily performed by a user word registration function or the like.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below in detail with reference to the drawings. FIG. 1 is a block diagram of one embodiment of the present invention. In FIG. 1, reference numeral 100 denotes a main body of the document copy processing apparatus, which is composed of a CPU, a memory (RAM), and the like in hardware. The main function 100 of the document covert processing apparatus is functionally input document (digitized document).
The module is divided into an extraction unit 110 that extracts a proper noun part related to privacy information from the extraction unit 110, and a processing unit 120 that performs a hidden character processing so that the proper noun part related to privacy information extracted by the extraction unit 110 cannot be specified.

[0008] Here, the extraction unit 110 is provided with a word dictionary 130
Morphological analysis unit 11 that morphologically analyzes an input document with reference to
1. Extract a proper noun part based on the morphological information analyzed by the morphological analysis unit 111, and suffix table 140
, A proper noun extracting unit 112 for acquiring the type of social attribute or personal attribute of the proper noun part. The processing unit 120 converts the extracted proper noun part into the word dictionary 13
0, a user-set character processing unit 122 for replacing a user-set replacement word (replacement character), a symbol processing unit 123 for replacing an extracted proper noun part with a symbol, and an alphabetic character for an extracted proper noun part. , An initial character processing unit 125 that refers to the initial character table 160 and replaces the proper noun part with the initial character, and
The processing unit 12 with reference to the hidden character processing table 150 and the like.
2, 123, 124 and 125 are selected.

The word dictionary 130, the suffix table 140,
Wobble processing table 150, initial character table 16
0 and the like are actually stored in, for example, a hard disk or the like.

FIG. 3 shows an example of the word dictionary 130. The word dictionary 130 stores readings, attributes, parts of speech, and the like for each word (heading), and is used for morphological analysis of sentences. In the present invention, a character (replacement word) set by the user to replace the target word (proper noun) in an unidentifiable manner is stored in the word dictionary 130. In FIG.
“User setting character” indicates the replacement word. In the example, “Musashino Telegraph and Telephone” and “Denden Taro” store replacement words of “Lab Lab” and “Researcher A”, respectively. The replacement word can be arbitrarily changed by the user.

FIG. 4 shows an example of the suffix table 140. The suffix table 140 shows correspondence between types of proper nouns and suffixes. In the example, if the suffixes are “stock company”, “shi”, and “city”, it indicates that the types of proper noun parts in front are “company name”, “person name”, and “city name”, respectively.

FIG. 5 shows an example of the hidden character processing table 150. The underprint processing table 150 shows the correspondence between the type of the processing target partial character string (proper noun part) and the underprint processing method (user-set character processing, symbol processing, alphabetic character processing, initial character processing, etc.). .
As for the “user-set character processing flag”, a mark “〇” indicates that the user-set character processing is preferentially selected, and a mark “x” indicates that the user-set character processing is not selected. For example, if the type of the partial character string to be processed is a social attribute "company name", the user-set character processing using the replacement word in the word dictionary is prioritized, and if there is no replacement word in the word dictionary, the symbol processing is selected. When the social attribute is also "city name", it indicates that the initial character processing is immediately selected without selecting the user-set character processing. If the type of the partial character string to be processed is a personal attribute and "person name", the "company name"
In the same manner as in the above, the user-set character processing using the replacement word in the word dictionary is prioritized, and if there is no replacement word in the word dictionary, the alphabet character processing is selected. This hidden character processing table 160 can be arbitrarily changed by the user.

FIG. 5 is a mere example. Regardless of the type of the partial character string to be processed, first, the user-set character processing using the replacement word in the word dictionary is preferentially selected, and there is no replacement word in the word dictionary. , To classify the hidden character processing method depending on the type of the character string to be processed, or
Regardless of the type, it is possible to select one predetermined processing method.

FIG. 6 shows an example of the initial character table 160. The initial character table 160 is “read”
And the "initial character" to be replaced. For example, when the proper noun part of the partial character string to be processed starts with “A”, it indicates that the proper noun part should be replaced with “A”.

FIG. 2 is a schematic flowchart of the operation of the present embodiment. Hereinafter, the operation of FIG. 1 will be described with reference to FIG.

First, the extraction unit 110 reads a document to be processed (digitized document) into a memory (RAM) or the like (step 1). Morphological analysis unit 111 of extraction unit 110
Refers to the word dictionary 130 (FIG. 3), divides the input document into words, and acquires morpheme information such as reading of each word, part of speech, and inflected forms (step 2). In this morphological analysis, attributes of parts of speech are also obtained, and for proper nouns, social attributes, personal attributes, and the like are also obtained.

Next, the proper noun extraction unit 112 checks whether the proper noun exists based on the obtained morphological information, and if there is, the partial character string including the proper noun is converted into the privacy information. It is recognized as a character string that may be infringed, and is set as a partial character string to be processed (step 3). For example, a flag is added to the extracted character string to be processed to distinguish it from other character strings. Furthermore, the proper noun extraction unit 112 refers to the suffix table 140 (FIG. 4) and extracts social attributes and personal attributes such as “company name”, “city name”, and “person name” for the extracted partial character string to be processed. Get more specific types of attributes. The morphological analysis unit 11
1 can refer to the suffix table 140 in the course of the morphological analysis to subdivide proper nouns into “company name”, “city name”, “person name”, and the like.

In the processing section 120, first, the processing / processing selection section 121 checks whether or not a character string to be processed has been extracted in the document (step 4). This is determined by, for example, whether a flag is added to the character string. If the partial character string to be processed has not been extracted, the processing is terminated without doing anything.

On the other hand, if the partial character string to be processed has been extracted, the processing selection section 121 refers to the hidden character processing table 150 (FIG. 5) to extract the social character strings for all the partial character strings to be processed. The user-set character processing unit 122, the symbol processing unit 123, the alphabet character processing unit 124, or the initial character processing unit 125 is selected according to the type of the personal attribute or personal attribute (step 5). In the case of the hidden character processing table 150 shown in FIG. 5, for example, when the type of the partial character string to be processed is a social attribute “company name”, the processing processing selecting unit 121 first selects the user-set character processing processing unit 122. Then, upon receiving a notification from the user-set character processing unit 122 that processing is not possible (there is no replacement word in the word dictionary 130), the symbol processing unit 1
Select 23. If the type of the partial character string to be processed is “city name” even if the attribute is a social attribute, the initial character processing unit 125 is immediately selected. When the type of the partial character string to be processed is a personal attribute “person name”, first,
When the user-set character processing unit 122 is selected and a notification that processing is impossible is received from the user-set character processing unit 122, the alphabet character processing unit 124 is selected.

As mentioned in FIG. 4, the processing / selection unit 121 first selects the user-set character processing / processing unit 122, regardless of its type, for all the partial character strings to be processed. Set character processing section 12
When a notification indicating that processing is impossible is received from 2, the symbol processing unit 123, the alphabet character processing unit 124, or the initial character processing unit 125 can be selected. The user may specify in advance what selection method (selection mode) is to be applied.

In step 5, the user-set character processing unit 1
When 22 is selected, the user-set character processing unit 122
Then, the word dictionary 130 (FIG. 3) is searched from the reading information of the proper noun of the partial character string to be processed, and the partial character string to be processed (proper noun and suffix) including the proper noun is stored in the word dictionary 1.
The character is replaced with a user-set character (replacement word) stored in 30 and is subjected to a hidden character processing (step 6). In the case of FIG. 3, for example, “Musashino Telegraph and Telephone Co., Ltd.” is processed as “Lab Lab”, and “Dentaro Taro” is processed as “Researcher A”. If the user-set character (replacement word) is not stored in the word dictionary 130,
A processing impossible notification is returned to the processing selection unit 121.

When the symbol processing unit 123 is selected in step 5, the symbol processing unit 123 applies “XX”, “OO”, or “□□” to the proper noun part of the partial character string to be processed. , Etc., and performs symbol processing such as, for example, "Musashino Telegraph and Telephone Corporation" as "xx company" (step 7). Which symbol is used can be freely set by the user.

Similarly, when the alphabet character processing unit 124 is selected in step 5, the alphabet character processing unit 124 applies “A”, “B”, “B” to the proper noun part of the partial character string to be processed. The character string is replaced with an alphabetic character such as "C", and alphabetical character processing is performed such that "Dentaro Taro" becomes "Mr. A" (step 8). Also in this case, the user can freely set the alphabet characters to be used.

Similarly, when the initial character processing unit 125 is selected in step 5, the initial character processing unit 125 refers to the initial character table 160 (FIG. 6) to add the proper noun part of the partial character string to be processed. for,
The proper nouns are replaced with initial characters such as "M", "O", "M.K" and the like, and initial character processing such as "Musashino-shi, Tokyo" is performed as "M-shi, Tokyo" (step 9). Specifically, the initial character processing unit 1
In step 25, the initial character table 160 is searched from the proper noun reading information, and the proper noun is converted to the corresponding initial character.

Lastly, the processing unit 120 overwrites the original document with the document subjected to the hidden character processing for all the character strings to be processed (step 10). In this way,
A text-overlaid document is automatically created for the parts where privacy information could be violated.

FIGS. 7 to 10 show a specific example of the process for processing a document in accordance with the present invention. Now, assume that the original document (processing target document) is as shown in FIG. The morpheme information shown in FIG. 8 is obtained by inputting the document shown in FIG. 7 and performing morphological analysis in the morphological analysis unit 111 of the extraction unit 110. The proper noun extraction unit 112 checks based on the morphological information shown in FIG. 8 whether there is a partial character string to be processed including the proper noun in the input document. As a result, in this example, "Musashino Telegraph and Telephone Corporation", "Dentaro Taro", and "Musashino City, Tokyo" are extracted as "substrings to be processed including proper nouns". Further, from the suffix table 140 as shown in FIG. 4, the types of the partial character strings to be processed are extracted as “company name”, “person name”, and “city name”, respectively.

In the processing unit 120, first, in the processing selection unit 121, based on the hidden character processing table 150, “Musashino Telegraph and Telephone Corporation” and “Taro Denden” of the character strings to be processed extracted by the extraction unit 110 are extracted. And a processing unit 122, 123, 124, or 125 that performs the hidden character processing for "Tokyo City Musashino City", respectively. Here, when the user setting character processing unit 122 is selected, the user setting character processing unit 122
30 is searched and, for example, "Musashino Telegraph and Telephone Corporation" and "Dentaro Taro" are replaced with "Lab Lab" and "Researcher A", respectively. When the symbol processing unit 123, the alphabet character processing unit 124, and the initial character processing unit 125 are selected, the proper noun part of the partial character string to be processed is replaced with a symbol, an alphabet character, or an initial character, respectively. .

FIG. 9 shows “Musashino Telegraph and Telephone Corporation”
The processing units 123, 124, and 12 are provided for all the partial character strings to be processed of "Dentaro Taro" and "Musashino City, Tokyo", regardless of their social attributes and personal attributes.
5 shows an example of processing when symbol processing, alphabet character processing, and initial character processing are respectively performed.

Here, based on the hidden character processing table 150 shown in FIG. 5, the social attribute is "Musashino Telegraph and Telephone Co., Ltd." of "company name" and the personal attribute is "Taro Denden" of "person name". For this, user-set character processing is performed, and initial character processing is performed for “Musashino City, Tokyo” having a social attribute of “city name”. It is assumed that the initial character processing follows the processing example of FIG. Therefore, "Musashino Telegraph and Telephone Corporation" is replaced with "Lab Lab", "Dentaro Taro" is replaced with "A Researcher", and "Tokyo City Musashino City" is replaced with "Tokyo M City", respectively. As a result, a document in which the original document shown in FIG. 7 is processed as shown in FIG. 10 is obtained.

It should be noted that an individual or a company can freely set how to perform the hidden character processing on the partial character string to be processed, and the hidden character processing can be performed based on the setting. . In particular, in the embodiment, it can be easily realized by changing the contents of the hidden character processing table 150.

Although the present invention has been described based on the illustrated embodiment, it is needless to say that the present invention is not limited to the illustrated embodiment. For example, the selection of the hidden character processing for the partial character string to be processed need not be limited to a method having a table.

Further, a processing procedure for extracting a proper noun part relating to privacy information from an input document, and a processing procedure for processing the extracted proper noun part relating to privacy information so as to be unidentifiable (see FIG. 2 for a concrete example). A program for causing a computer to execute the above-described processing procedure can be provided by being recorded in a computer-readable recording medium (FD, CD-ROM, MO, or the like) in advance. By installing the program recorded on this recording medium into a computer, the program shown in FIG.
The extraction unit 110 and the processing unit 120 as shown in FIG. Further, such a program may be preinstalled on a computer.

[0033]

As described above, the following effects can be obtained by using the method and apparatus for processing a document covert according to the present invention, a program and a program recording medium for the method. (1) Because of the automatic processing, the time and operation can be reduced as compared with the conventional manual processing of the hidden character processing. (2) According to (1), the time from the creation of a document until the document can be distributed is reduced as compared with the related art. (3) According to (1) and (2), the document can be easily distributed. (4) The user can freely set substitution characters in the word dictionary for morphological analysis as he or she likes.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of an embodiment of the present invention.

FIG. 2 is a schematic flowchart showing an operation example of the present invention.

FIG. 3 is a diagram illustrating an example of a word dictionary.

FIG. 4 is a diagram illustrating an example of a suffix table.

FIG. 5 is a diagram illustrating an example of a hidden character processing table.

FIG. 6 is a diagram illustrating an example of an initial character table.

FIG. 7 is a diagram showing an example of a document used for explaining a specific example of the present invention.

FIG. 8 is a diagram showing morpheme information of the document example of FIG. 7;

FIG. 9 is a diagram illustrating an example of symbol processing, alphabet character processing, and initial character processing.

FIG. 10 is a diagram illustrating an example of a document obtained by performing a hidden character processing process on the example of the document in FIG. 7;

[Explanation of symbols]

 REFERENCE SIGNS LIST 100 Document cover processing apparatus main body 110 Extraction unit 111 Morphological analysis unit 112 Proper noun extraction unit 120 Processing unit 121 Processing processing selection unit 122 User-set character processing processing unit 123 Symbol processing processing unit 124 Alphabet character processing processing unit 125 Initial character processing processing unit 130 Word dictionary 140 Suffix table 150 Underprint processing table 160 Initial character table

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Miyo Kawabe 2-3-1 Otemachi, Chiyoda-ku, Tokyo Inside Nippon Telegraph and Telephone Corporation (72) Inventor Toshihiro Iwamoto 2--3, Otemachi, Chiyoda-ku, Tokyo No. 1 Nippon Telegraph and Telephone Corporation F-term (reference) 5B009 MB03 ME24 QB14 5B091 AB06 CA02 CC02

Claims (9)

[Claims] Claims 1. A method for processing a hidden character in a document in which a proper noun part relating to privacy information in a document is unidentifiably processed, wherein a word that replaces the word unidentifiably (hereinafter, a replacement word) is stored in a word dictionary. A morphological analysis is performed on the input document with reference to the word dictionary, and a proper noun part relating to privacy information is extracted based on the result of the morphological analysis, and the extracted proper noun part is not identified. A method according to claim 1, wherein a substitute word for processing a hidden character is obtained from the word dictionary as possible, and the character string of a proper noun portion is converted into a character using the obtained replacement word. 2. A method according to claim 1, wherein when a replacement word for processing the extracted proper noun part so as to be unidentifiable is not stored in the word dictionary, the character of the proper noun part is stored. A method of processing a document in a hidden part of a document, in which a string is replaced with at least one of a predetermined symbol or alphabetic character or an initial character of the character string and the part is unidentifiable. 3. The method according to claim 1, wherein, in accordance with the type of the extracted proper noun part, a character string of the proper noun part is replaced with a replacement word stored in a word dictionary.
A method of processing a document in a hidden part of a document, wherein the character is replaced with one of a predetermined symbol, an alphabetic character, or an initial character of the character string and the part is unidentifiable. 4. A document covert processing device for processing a proper noun part relating to privacy information in a document so as to be unidentifiable, and a word dictionary storing a substitute word corresponding to a word so as to replace the word in an unspecifiable manner. Extracting means for morphologically analyzing an input document with reference to the word dictionary and extracting a proper noun part relating to privacy information based on the result of the morphological analysis, and wherein the extracted proper noun part cannot be specified. And a processing unit for obtaining a replacement word for processing a hidden character from the word dictionary and processing the character string of a proper noun portion using the obtained replacement word. 5. A document covert character processing device for processing a proper noun part relating to privacy information in a document so as to be unidentifiable, comprising: a word dictionary storing a replacement word corresponding to a word and replacing the word unspecifiably. Extracting means for morphologically analyzing an input document with reference to the word dictionary and extracting a proper noun part relating to privacy information based on the result of the morphological analysis; and wherein the extracted proper noun part cannot be specified. First processing processing means for obtaining a replacement word for processing a hidden character from the dictionary, and processing the character string of the proper noun portion using the obtained replacement word, and a character string of the extracted proper noun portion Is replaced with at least one of a predetermined symbol or alphabetic character, or an initial character of the character string, and the second character is processed in an unidentifiable manner. When the document asterisk processing apparatus characterized by having a process processing selection means for selecting the first treatment processing means or the second processing processing means. 6. The document processing apparatus according to claim 5, wherein the processing processing selecting means selects the first processing processing means,
A document covert character processing device, wherein a second processing means is selected unless a replacement word for processing an extracted proper noun part so as to be unidentifiable in a word dictionary is not stored. 7. The document processing apparatus according to claim 5, wherein the processing processing selecting means selects the first processing processing means or the second processing processing according to the type of the extracted proper noun part. Document processing device. 8. A process for morphologically analyzing a document input to a computer with reference to a word dictionary and extracting a proper noun part relating to privacy information based on a result of the morphological analysis; And a process of acquiring a replacement word for processing a character to make it impossible to specify a character from a word dictionary, and performing a process of processing a character string of a proper noun portion using the obtained replacement word. 9. A computer-readable recording medium on which the program for processing a document hidden character processing according to claim 8 is recorded.