JP2003203091A - Document speed-read supporting device, method and program, and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To support a user to quickly understand contents of a document by presenting a specific part of the document along user's interest. <P>SOLUTION: This document speed-read supporting system extracts a word or a paragraph composing the document from the document data composing one or a series of document, and extracts a keyword corresponding to the extracted word or paragraph from the document data. Whereby a control part 11 determines a display space on the basis of a plurality of extracted keywords to visually display the relativity of the contents of the sentences composing the document in the display space. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document speed reading support device, a document speed reading support method, a document speed reading support program and a recording medium, and in particular, allows a user to easily select a document or a sentence corresponding to a user's request. The present invention relates to a display technology for supporting speed reading of a selected document or sentence.

[0002]

2. Description of the Related Art In Japanese Patent Laid-Open No. 7-65005, document speed reading support for identifying and displaying a specific portion of a document in order to assist a user to quickly read a large number of documents. The configuration of the display device is disclosed. Specifically, the "specific portion extraction means of the document speed reading support display device extracts a specific portion in the document from the digitized document. The specific portion identification display / printing means extracts the specific portion. The specific portion extracted by the means is displayed or printed by distinguishing it from other portions. The specific portion extracting means identifies the portion suitable for speed reading of the document. Since it can be identified and displayed, it is useful as a point when quickly looking through the document. "

[0003]

In the conventional document speed reading support display device described above, a specific portion can be easily identified by changing the font of characters so that the document can be quickly read or the document contents can be read. It had a configuration to let people know. However, since the identification of the specific portion is performed regardless of the target of the user's interest, when the user wants to read the document with a specific interest, the identification of these specific portions does not make sense. Don't do it. Therefore, it may rather hinder the user's understanding of the document contents. In order to browse the document smoothly, it is desirable to reduce the number of mouse operations and keyboard operations.

Further, there is another problem that it is difficult to grasp how many related sentences exist or which related sentence is related to the object (sentence or word) selected by the user. In particular, a user who wants to acquire information from a wide variety of documents does not include items of interest, even if he / she wants to quickly determine whether the document contains items of interest. Since there is no standard for judging whether or not the document is an existing document, there is a problem that it is necessary to read all the documents. Therefore, an object of the present invention is to provide a specific portion of a document in accordance with the user's interest and to assist the user in quickly understanding the document content, a document speed reading support device, a document speed reading support method, and a document. An object is to provide a speed reading support program and a recording medium recording the program.

[0005]

In order to solve the above problems, a document speed reading support device extracts a word or a clause constituting a document from document data constituting one or a series of documents, and extracts the extracted word. Alternatively, a keyword extraction unit that extracts a keyword corresponding to a phrase from the document data, and a display space is set based on the plurality of extracted keywords, and the contents of each sentence that composes the document in the display space are mutually different. A relationship display section for visually displaying the relationship,
It is characterized by having. According to the above configuration, the keyword extraction unit of the document speed reading support device extracts a word or a phrase forming the document from document data forming a document or a series of documents, and a keyword corresponding to the extracted word or phrase. Is extracted from the document data. As a result, the relevance display unit sets the display space based on the extracted plurality of keywords, and visually displays the relevance of the contents of each sentence that composes the document in the display space.

In this case, the relationship display section is
The degree of relevance of the contents of each sentence may be visually displayed as a distance in the display space.

Further, the relation display section may display an identifier corresponding to each of the sentences.

Further, the relevance display unit is a space detection unit for resetting the display space based on a selection detection unit for detecting which one of the identifiers is selected and a sentence corresponding to the selected identifier. A setting unit may be provided.

Furthermore, the relevance display section includes a selection detection section for detecting which of the identifiers has been selected,
A sentence display section for displaying a sentence corresponding to the selected identifier,
May be provided.

The relevance display section detects a keyword included in the sentence displayed in the sentence display section, which is selected, and the display based on the selected keyword. A space resetting unit that resets the working space may be provided.

Further, the document speed reading support method extracts a word or a clause constituting the document from document data constituting one or a series of documents, and extracts a keyword corresponding to the extracted word or clause from the document data. A keyword extraction process for extracting and a display space are set on the basis of a plurality of extracted keywords, and the mutual relation between the contents of each sentence constituting the document is visually displayed on the display device in the display space. And a relevance display process.

In this case, the degree of relevance of the contents of each sentence may be visually displayed as the distance in the display space. Also, an identifier corresponding to each of the sentences may be displayed.

Further, the display space is reset based on a selection detecting process for detecting which one of the identifiers is selected on the display screen of the display device and a sentence corresponding to the selected identifier. And a space resetting step.

Furthermore, a selection detecting step of detecting which one of the identifiers is selected on the display screen of the display device, and a sentence displaying step of displaying a sentence corresponding to the selected identifier on the display device. May be provided.

Further, a keyword selection detecting process for detecting whether any of the keywords included in the displayed sentence is selected, and a space resetting for resetting the display space based on the selected keyword. The process may be provided.

Further, in a document speed reading support program for causing a computer to function as a document speed reading support device having a display device, words or phrases constituting the document from document data constituting one or a series of documents. Is extracted, keywords corresponding to the extracted words or phrases are extracted from the document data, a display space is set based on the plurality of extracted keywords, and each sentence constituting the document is displayed in the display space. It is characterized in that the mutual relationship between the contents of (1) is visually displayed on the display device.

In this case, the degree of relevance of the contents of each sentence may be visually displayed as the distance in the display space. Further, an identifier corresponding to each of the sentences may be displayed.

Further, it is possible to detect which one of the identifiers is selected on the display screen of the display device, and reset the display space based on the sentence corresponding to the selected identifier. Good.

Furthermore, it is detected which one of the identifiers is selected on the display screen of the display device, and a sentence corresponding to the selected identifier is displayed on the display device.
You may do it.

It is also possible to detect which one of the keywords included in the displayed sentence has been selected and reset the display space based on the selected keyword. Further, each of the document speed reading support programs may be recorded in a recording medium.

[0021]

BEST MODE FOR CARRYING OUT THE INVENTION Next, preferred embodiments of the present invention will be described. [1] Configuration of Embodiment FIG. 1 is a block diagram showing the functional configuration of a stand-alone document speed reading support device of the embodiment. The document speed reading support device 10 is roughly classified into a control unit 11, a database unit 12, a language processing unit 13, a layout drawing creation unit 14, and a display unit 1.
5, event determination unit 16, important keyword extraction unit 17,
The related keyword extraction unit 18 and the operation unit 19 are provided. The document speed reading support device 10 has the same configuration as a general personal computer, and as shown in FIG. 2, an MPU (Micr) that controls the document speed reading support device 10 as a whole.
Processor unit) 21, a ROM 22 in which control programs and the like are stored in advance, a RAM 23 that temporarily stores processing results and the like as a working area, and an interface unit that provides an interface function between the display unit 15 or the operation unit 19. 24, and a bus 25 for connecting each unit. In this case, the document speed reading support program is stored in the ROM 22, the RAM 23, or the external storage device 26. Further, the database unit 12 is stored in the external storage device 26. Here, the external storage device 26 includes a fixed or removable recording medium such as a hard disk or a large-capacity optical disk, and stores various data.

The control unit 11 controls the entire document speed reading support device 10. The database unit 12 includes a morphological analysis dictionary, a language processing analysis result database, an important keyword result database, and a related keyword result database, which will be described later. The language processing unit 13 performs morphological analysis processing, syntax analysis processing, semantic analysis processing, and analysis result recording processing.
Each of these processes will be described in detail later. The layout drawing creating unit 14 creates a layout drawing in which either a document or sentences constituting the document are arranged in a predefined space. The display unit 15 displays the spatial map converted into the bitmap created by the layout drawing creating unit 14. The event determination unit 16 determines whether or not the user has performed an operation for specifying a target of interest. The important keyword extracting unit 17 extracts an important keyword from the document to be speed-read. The related keyword extraction unit 18 extracts a related keyword related to the important keyword from the document to be speed-read. The operation unit 19 includes a keyboard, a mouse, a tablet, and the like, and the user performs various operations.

[2] Operation of the Embodiment Next, the operation of the embodiment will be described with reference to FIGS. 3 to 21. In this case, the document to be speed-read is, for example, one of the documents DC0 to DCN shown in FIG. 3, which will be described as already stored in the external storage device 26.

FIG. 4 shows a schematic processing flowchart. First, the MPU 21 stores the document to be speed-read in the external storage device 26.
Is read out via the bus 25 and language processing is performed (step S11). Here, the language processing will be described in detail. FIG. 5 shows a processing flowchart of language processing. In the language processing, the MPU 21 first performs morphological analysis processing (step S21). In the morpheme analysis process, a segment break recognition process, a word break recognition process, and a word part-of-speech recognition process are performed based on the morpheme analysis dictionary stored in the database unit 12. FIG. 6 shows the data format of the morphological analysis dictionary. The data format of the morphological analysis dictionary is composed of Kanji data 21, reading data 22, part-of-speech data 23, and semantic data 24.

Specifically, when the kanji data 21 is "sales", the reading data 22 is "hanbai", the part-of-speech data 23 is "sahen noun", and the meaning data 24 is "sales". . Similarly, the kanji data 21 is "ticket".
If it is, the reading data 22 becomes “Chicket”,
The part-of-speech data 23 becomes "noun", and the meaning data 24 becomes "product". In the case where the Kanji data 21 is a compound word such as "as in the case" such as a noun + case particle + adjective verb + adjective verb continuous form, the semantic data 24 has no actual data. There is also a possibility.

Next, the MPU 21 performs a syntax analysis process (step S22). In this parsing process, MPU2
1 performs a process of determining the relation destination of each phrase in each phrase constituting the sentence analyzed in the morphological analysis process. Subsequently, the MPU 21 performs a semantic analysis process (step S23). In this semantic analysis process, the MPU 21 performs a process of assigning a meaning to each word that constitutes a sentence subjected to morphological analysis and syntax analysis. Further MPU21
Performs an analysis result recording process (step S24). In the analysis result recording process, the analysis result for each document is recorded in the language processing analysis result database of the database unit 12. As the analysis result, the document number for identifying each document, the sentence number for identifying each sentence that composes the document, the segment break, the destination of the segment, the word segment, the part of speech of the word, the meaning of the word, etc. are obtained. Therefore, these are recorded in a predetermined format in the language processing analysis result database forming the database unit 12.

Here, the language processing analysis result database will be described. As shown in FIG. 7, the language processing analysis result database 30 roughly includes a document management database 31, a word management database 32, a phrase management database 33, an important keyword management database 34, and a related keyword management database 35. FIG. 8 shows an example of the document management database. The document management database 31 includes ID data 41 for identifying each document management record, document number data 42 assigned to identify each document, and sentence numbers corresponding to serial numbers assigned to each sentence forming the document. The data 43, word number data 44 corresponding to the number of words forming the sentence, and phrase number data 45 corresponding to the number of phrases forming the word are provided. In this case, the sentence number data 43 is given a serial number from 0 in the order in which the sentences appearing in each document appear.

More specifically, the document of ID data = 2 is the sentence number included in the document specified by the document number = 0.
Stores information about one sentence. The sentence with the sentence number = 1 includes nine words, and the number of clauses is five. FIG. 9 shows an example of the word management database. The word management database 32 corresponds to the ID data 51 for identifying each word management record, the document number data 52 corresponding to the document number of the document including the word, and the sentence number of the sentence including the word. Sentence number data 53, word number data 54 corresponding to the serial number assigned to the word, Kanji data 55 for storing the Kanji or alphabetical notation of the word, reading data 56 for storing the reading of the word, It includes part-of-speech data 57 for storing the part-of-speech and meaning data 58 for storing the meaning of the word.

In this case, the sentence number data 53 is
Serial numbers from 0 are given in the order in which each sentence that appears in each document appears. The word number data 54 is given a serial number from 0 in the order in which each word that appears in each sentence appears. More specifically, the word of ID data = 1 is the sentence number of the document specified by the document number = 0.
Information about a word corresponding to a word number = 0 included in a sentence of 0 is stored. The word of the word number = 0 is written as “AAA”, its reading is “AAA”, the part of speech is a noun, and the meaning is a company (company name).

FIG. 10 shows an example of the phrase management database. The phrase management database 33 includes ID data 61 for identifying each phrase management record, document number data 62 corresponding to the document number of the document including the phrase, and the sentence number of the sentence including the phrase. The corresponding sentence number data 63, the phrase number data 64 corresponding to the serial number assigned to the phrase, the belonging word number data 65 for specifying the word belonging to the phrase, and the destination for specifying the phrase to which the phrase belongs. The phrase data 66 is provided.
In this case, the sentence number data 63 is given a serial number from 0 in the order in which each sentence appearing in each document appears. The clause number data 64 is given a serial number from 0 in the order in which the clauses appearing in each sentence appear.

More specifically, the clause of ID data = 3 is the sentence number of the document specified by the document number = 0.
Information about the clause corresponding to the clause number = 2 included in the sentence of 0 is stored. Then, the word of the phrase number = 2 is “statement” of the belonging word number = 3 and the belonging unit number =
It is composed of "ta" in No. 4 and represents that there is no dependent phrase. Next, the MPU 21 performs an important keyword extraction process (step S12). That is, in the language processing analysis result database 30, words whose part of speech is an independent word (noun, verb, adjective, adjective verb) are extracted from the record having the specified document number. The TFIDF method or the like is applied to the extracted words, and the words whose obtained values are larger than a predetermined threshold value are set as important keywords. The extracted important keywords are recorded in the important keyword management database 34.

Here, the important keyword management database will be described with reference to FIG. The important keyword management database 34 stores ID data 71 for identifying each important keyword management record, document number data 72 corresponding to the document number of the document containing the corresponding important keyword, and important keywords storing the extracted important keywords. The keyword data 73 is provided. In this case,
The document number data 72 is, for example, ID in FIG.
As in the case of data = 2, it is possible to store the document numbers of a plurality of documents including the corresponding important keywords. More specifically, the important keyword of ID data = 300 is included in the document specified by the document number = 0, and the important keyword is “ticket”.

Next, the MPU 21 sets a display space based on the plurality of extracted important keywords, and arranges the contents for each sentence constituting the document in the display space so as to visually display the mutual relation. A diagram is created (step S13). The creation of the layout drawing will be described in detail below with reference to the layout drawing creation processing flowchart of FIG. In creating the layout drawing, first, for each document or each sentence, a vector whose elements are important keywords or related keywords is created (step S31). Here, extraction of related keywords will be described. When extracting a related keyword, first, a related keyword extraction process using a case particle is performed.

The reason why the related keyword is extracted by using the case particle is that the case particle is a noun or a thing similar to the noun, and shows the relationship of the noun to other words. This is because they relate words that are related, that is, related keywords. For example,
This is because a word connected to a keyword using the case particle “no” has a keyword-owning relationship, and therefore it is preferable to select the word as a related keyword. Also, the word connected to the keyword using the case particle “to” has a parallel relationship with the keyword, and it is preferable to select the word as a related keyword.

More specifically, when the keyword is "ticket", the description "special ticket sale", "limited number of tickets", and "inquiry and ticket" are included in the document. In some cases, words such as “special sale”, “limited number”, and “inquiry” can be selected as related keywords. Then, the selected related keyword has an important meaning for the user who needs the information about the “ticket”. Next, the MPU 21 refers to the meaning code given to the extracted keyword by the semantic analysis, and determines whether or not the template corresponding to the meaning code exists. Here, the meaning code is represented by a word that is very closely related to the keyword, for example,
The words “ticket”, “ticket”, “admission ticket”, etc. are assigned the meaning code “ticket”, and the word “October 1
A meaning code of “date and time” is added to “0th day”, “January 2001”, and the like. Further, the template corresponding to the meaning code has registered therein a meaning code that is semantically related to the meaning code. For example, in the template corresponding to the meaning code “Ticket”, “Price”, which is the meaning code given to words such as the price associated with a ticket and the date and time of sale start,
Semantic codes such as "date and time" are registered.

Similarly, in the template of the meaning code "personal computer", meaning codes such as "CPU type", "HDD capacity", and "price" that are given to words associated with a computer are registered. There is. If a template corresponding to the meaning code exists, MP
U21 extracts a related keyword using the template. Specifically, the MPU 21 determines whether or not the word to which the registered meaning code included in the template corresponding to the meaning code is added is searched before and after the sentence including the keyword. Then, when the corresponding word is searched, the word is extracted as a related keyword. Further, when the corresponding meaning code exists for the word registered in the tempo, the word registered in the template corresponding to the meaning code is searched for in the sentences before and after the sentence including the keyword, and As a related keyword.

As a result of these processes, the related keywords obtained corresponding to the keywords are as follows. “Ticket” …… (Keyword) “May 6th” …… (Related keyword) “Special sale” …… (Related keyword) “Download” …… (Keyword) “Live song” …… (Related keyword) “Public” .. (Related keyword) ........ Then, the MPU 21 records the extracted related keyword in the related keyword management database 35. here,
The related keyword management database will be described with reference to FIG.

The related keyword management database 35 is
ID data 81 for identifying each related keyword management record, document number data 82 corresponding to the document number of the document including the corresponding related keyword, and keyword data 83 storing important keywords corresponding to the extracted related keywords. , The related keyword data 84 storing the extracted related keywords, the sentence number data 85 storing the sentence numbers of the sentences containing the related keywords, and the word number data for specifying the words containing the relevant keywords. It is equipped with 86. More specifically,
The related keyword of ID data = 2 is included in the document specified by the document number = 0, and the important keyword is “ticket”.
, Which means that the related keyword is “download”. Further, the sentence number of the sentence including the related keyword is 29, and the word number of the word including the related keyword is 4.

FIG. 14 shows a processing flowchart at the time of creating a vector. By the way, the important keyword is used when creating a display space corresponding to a document and when creating a sentence display space immediately after any document is selected on the display space corresponding to a document. On the other hand, the related keyword is used when creating a space other than the case where the display space is created by the important keyword. Therefore, prior to the vector creation, it is determined whether or not the vector is created with the related keyword in order to determine whether the vector is created with the important keyword or the related keyword (step S41). When it is determined in step S41 that a vector is to be created with the related keyword (step S41; Yes), first, the word management database 32 is referred to, and the designated sentence (or the sentence selected in the display space). ) To get information about the words that make up. The information acquired from the database is kanji (step S42). Next, referring to the related keyword management database 35, the word information (kanji) acquired in S42 is regarded as a keyword, and the related keyword and sentence number data corresponding to the keyword are acquired. Further, if there is a keyword specified by the user, that keyword may be regarded as a related keyword (step S43). Then, a matrix for one designated document is created based on the related keyword and sentence number data acquired in S43 (step S44). In the matrix to be created, the rows are the sentence number data and the columns are the related keywords. The element value of the matrix is the number of appearances (or presence or absence (1 or 0) of appearance of the related keyword in the sentence number data. If there is no related keyword corresponding to the sentence, the element value is set to 0.

On the other hand, when it is determined in step S41 that a vector is created with the important keyword (step S41; No), the important keyword corresponding to the designated document number data 72 is read from the important keyword management database 34. . Also, if there is a keyword specified by the user, that keyword may be regarded as an important keyword (step S4).
5).

Next, in step S46, it is determined whether the layout drawing to be created shows the relation between sentences or the relation between documents. When it is determined that the relationship between the sentences is shown (step S46; Yes), the word management database 32 is referred to, and the designated document number data 5
The important keywords are counted for each sentence corresponding to the sentence number data 53 corresponding to 2. And the sentence number as a line,
Create a matrix with important keywords as columns (step S
47). On the other hand, when it is determined in step S46 that the relationship between the documents is indicated (step S46;
No), referring to the word management database 32, the important keywords are counted for each document corresponding to the designated document number data 52. Then, a matrix having document numbers as rows and important keywords as columns is created (step S4).
8). In steps S47 and S48, the element value of the matrix is the number of appearances (or presence or absence (1 or 0) of the appearance of the important keyword). If the important keyword corresponding to the sentence number data or the document number data does not exist, the element value is set to 0. In this case, when creating a vector of sentences, in order to ensure visibility after creating the layout diagram, consider the preceding and following sentences so that the arrangement of each sentence in the defined display space does not become overcrowded, and display them. It is also possible to set the axis of the space for use. Next, the generated matrix (vector) of a plurality of documents or sentences is subjected to principal component analysis or singular value decomposition to create a combined vector (step S32). Next, the MPU 21 calculates the center of gravity from a matrix (vector) of documents or sentences that include an important keyword or a related keyword in a matrix (vector) of documents or sentences that have been subjected to principal component analysis or singular value decomposition. Ask. Then, a moving matrix is added to the composite vector subjected to the principal component analysis or the singular value decomposition so that the center of gravity becomes the origin of the display space.

Next, the MPU 21 converts a vector representing a document or a sentence into a vector in a two-dimensional space centered on the first principal component and the second principal component, which are the largest components among the components (keywords) contained in the document or the sentence. Corresponding coordinates are plotted by marks (identifiers), and the spatial diagram is bitmapped as a layout diagram (step S34). And M
The PU 21 displays the bitmapped layout map on the display unit 15 (step S14). A specific example of displaying the layout drawing will be described later. Next, the MPU 21 functions as the event determination unit 16 and determines whether or not an event has occurred (step S15).

Specifically, when the user clicks on the screen with the mouse, for example, the following will be investigated. Whether the coordinates that represent the document or sentence in the display space have been marked (identified) or not, and whether any keyword has been selected while the document (plural sentences) is being displayed. Whether the process end button has been operated. Then, the MPU 21 shifts the processing to the sentence processing control (step S16). In sentence processing control, the MPU 21
It is determined whether or not the language processing shown in FIG. 5 needs to be performed (step S51). When it is necessary to perform language processing in the determination of step S51 (step S5
1; Yes), the MPU 21 performs the language processing described in FIG. 5 (step S52), and moves the processing to step S53. When it is not necessary to perform language processing in the determination of step S51 (step S51; No), MP
U21 extracts the important keyword by the method described above (step S53).

Further, the MPU 21 extracts the related keyword by the method described above (step S54). Then M
The PU 21 marks the coordinates corresponding to the vector representing the document or the sentence in the two-dimensional space having the first principal component and the second principal component, which are the most components among the components (keywords) included in the document or the sentence, as the axes. Plotting is performed by (identifier), and the spatial diagram is bitmapped as a layout diagram to create a layout diagram (step S55). And MPU
The display unit 21 displays the bitmapped layout map on the display unit 15 (step S56). Here, a specific example of the layout plan will be described with reference to the drawings. In the initial state, as shown in FIG. 16, a layout diagram showing the mutual relation state of documents is displayed together with keywords. In this case, the layout is displayed in the layout display area A1 and the keywords are displayed in the keyword display area A2. Here, the keywords displayed in the keyword display area A2 are the keywords used when creating the layout drawing displayed in the layout drawing display area A1. This keyword display area A2
It is possible to include the keyword preset by the user, or to set the keyword uniquely by the system. Note that nothing is displayed in the sentence display area A3. In FIG. 16, each document is represented by a circle, and the closer the relationship is, the closer the distance between the circles is.

Then, when the user selects a document in the displayed layout drawing display area A1, it becomes as shown in FIG.
All the sentences for the selected document are arranged in the layout drawing display area A1, and the more important the sentence is, the more the sentence is arranged at the midpoint of the drawing. In A2, a list of keywords used when creating the layout drawing in A1 is displayed. The document corresponding to the selected point is displayed in A3. Then, when the user selects any sentence in the layout drawing display area A1,
As shown in FIG. 8, the sentence DX1 that well reflects the content of the related keyword for the selected sentence is displayed at the midpoint of the layout drawing display area A1, and the corresponding sentence is displayed in the document display area A3. Further, in the keyword display area A2, a list of keywords used when the layout drawing in A1 is created is displayed. In this case, in the document display area A3, in order to distinguish the corresponding sentence DX1 from other sentences, as shown in FIG. 18, a frame is provided, the font is changed, or the font color is changed. To make it identifiable

If the user sets a keyword of interest in advance instead of creating a layout diagram based on the degree of importance of the sentence, the user can display the keyword of interest displayed (in the figure, When any one of (expressed as D1 to D5) is selected, the MPU 21 controls the event determination unit 16 to determine which keyword is selected as an event (step S15) As a result, for example, the selected keyword is “ ticket"
17, the document DX containing the keyword "ticket" and its related keywords most is found, and then the sentence DX containing the most keywords preset by the user in the document is found. It is displayed at the midpoint of the layout drawing display area A1. Then, the sentence corresponding to DX is displayed in a frame in the document display area A3. Further, in the keyword display area A2, a list of keywords used when the layout drawing in A1 is created is displayed. In this case, in the document display area A3, in order to distinguish the corresponding sentence DX from other sentences, as shown in FIG.
A frame is provided, the font is changed, and the font color is changed to make it identifiable. Subsequently, when the user selects any sentence in the layout drawing display area A1, as shown in FIG. 18, the sentence DX1 that well reflects the content of the related keyword for the selected sentence is set as the origin of the display space. It is displayed at the center point of the layout drawing display area A1, and the corresponding sentence is displayed in the document display area A3. Further, in the keyword display area A2, a list of keywords used when the layout drawing in A1 is created is displayed.

In addition, as for the sentence DX, the display in the layout drawing display area A1 is changed because it is a sentence that has already been read.
Further, when the user selects any sentence in the layout drawing display area A1 or selects any keyword in the keyword display area A2, as shown in FIG.
The sentence DX2 that well reflects the content of the related keyword for the selected sentence is displayed at the midpoint of the layout drawing display area A1 as the origin of the display space, and the corresponding sentence is displayed in the document display area A3. Further, in the keyword display area A2, a list of keywords used when the layout drawing in A1 is created is displayed.

Similarly, the document or the sentence selected by the user is set as the origin of the display space in the layout drawing display area A1 and the setting of the display space is updated and displayed at any time, thereby making the target of interest to the user. Along with this, speedy reading support for documents will be provided. Therefore, it is possible to quickly read only the sentence of interest to the user. In this case,
If a word of interest to the user is displayed in the document display area A3, the word is selected by clicking on it, and highlighted such as shaded display or reverse display as shown in FIG. As a result, as shown in FIG. 21, a new sentence (for example, the sentence DX is displayed on the display space set by the axis in which the related keywords of the selected word are combined.
3) is arranged. As described above, the word in the body displayed in the document display area A3 can be selected as a keyword, so that the document can be displayed according to the interest of the user.

As described above, according to this embodiment, it is possible to easily visually understand that the document or sentence is the target of the user's interest, and the document can be written according to the user's interest. It is possible to present a specific portion, and it is possible to assist the user in speed reading.

Further, at the time of browsing the document, the user can easily grasp the document or sentence of interest, so that it is possible to reduce the mouse operation and keyboard operation at the time of browsing the document. That is, since the document or sentence that seems to be of most interest is placed in the center of the display space, it is possible to reduce the moving distance of the mouse or the like.

Further, it is possible to visually judge how many documents or sentences are related to the target of interest of the user, and to easily grasp the whole.

Furthermore, it becomes possible to explicitly display "whether or not already read" and "whether or not the keyword of interest is included" in the layout diagram so that which document or what sentence can be read It is possible to easily determine whether or not to do it. Further, the user only needs to select a document or a sentence in accordance with his / her interest and can select a document or a sentence in accordance with his / her keyword as well, so that it becomes easier to select a document in accordance with the user's interest.

As a result, the user can easily specify the document or sentence of interest without looking through all the documents, and in turn, can read the required document or sentence in a short time. .

In the above description, the case where the display space is two-dimensional has been described, but the present invention can be applied even when it is three-dimensional or more. Further, in the above explanation, the sentence that is considered to be most interesting is placed at the midpoint (center position) of the display space, but the present invention is not limited to this, and the relevance of each document or sentence is not limited to this. Any form may be used as long as it can be understood. Further, in the above description, the configuration of extracting the template usage is adopted. However, when the document speed reading support is performed and the processing speed is required, the template usage extraction is not necessary. Since the related keyword can be extracted, the extraction process using the template can be omitted. This makes it possible to improve the processing speed of the document speed reading support.

Furthermore, in the above description, the case where the document speed reading support device 10 is of a stand-alone type has been described. However, the server supports the speed reading via the network so that the user operates the network terminal. It is also possible to configure. Further, in the above description, the case where the document speed reading support program is stored in the ROM, the RAM, or the external storage device 26 in advance has been described. The document speed reading support program is recorded on a removable recording medium such as an optical disk and can be installed or downloaded via a network.
It can also be configured to be installed. When downloading, it is possible to download each time it is executed.

[0056]

According to the present invention, it is possible to easily visually recognize a document or a sentence of interest to the user, and to present a specific portion of the document according to the interest of the user. This makes it possible to support speed reading by the user.

[Brief description of drawings]

FIG. 1 is a schematic block diagram of a document speed reading support device.

FIG. 2 is a specific configuration block diagram of a document speed reading support device.

FIG. 3 is an explanatory diagram of document data.

FIG. 4 is a schematic process flowchart of a document speed reading support device.

FIG. 5 is a language processing flowchart.

FIG. 6 is an explanatory diagram of a morphological analysis dictionary.

FIG. 7 is an explanatory diagram of a language processing analysis result database.

FIG. 8 is an explanatory diagram of a data format of a document management database.

FIG. 9 is an explanatory diagram of a data format of a word management database.

FIG. 10 is an explanatory diagram of a data format of a clause management database.

FIG. 11 is an explanatory diagram of a data format of an important keyword management database.

FIG. 12 is a processing flowchart of a layout drawing creation processing.

FIG. 13 is an explanatory diagram of a data format of a related keyword management database.

FIG. 14 is a processing flowchart of vector creation processing.

FIG. 15 is a processing flowchart of sentence processing control processing.

FIG. 16 is an explanatory diagram (1) of a display screen.

FIG. 17 is an explanatory diagram (2) of a display screen.

FIG. 18 is an explanatory view (No. 3) of the display screen.

FIG. 19 is an explanatory view (No. 4) of the display screen.

FIG. 20 is an explanatory diagram (5) of the display screen.

FIG. 21 is an explanatory diagram (6) of the display screen.

[Explanation of symbols]

10: Document speed reading support device 11 ... Control unit 12 ... Database section 13 ... Language processing unit 14 ... Layout drawing department 15 ... Display 16: Event determination section 17 ... Important keyword extractor 18 ... Related keyword extractor 19 ... Operation part

Claims (19)

[Claims] 1. A keyword extraction unit for extracting a word or a clause constituting the document from document data constituting one or a series of documents, and extracting a keyword corresponding to the extracted word or clause from the document data. A relevance display unit that sets a display space based on a plurality of extracted keywords, and visually displays the relevance of the contents of each sentence constituting the document in the display space. A document speed reading support device. 2. The document speed reading support device according to claim 1, wherein the relevance display unit visually displays the degree of relevance of the contents of each sentence as a distance perspective within the display space. A document speed reading support device. 3. The document speed reading support device according to claim 1, wherein the relevance display unit displays an identifier corresponding to each of the sentences. . 4. The document speed reading support device according to claim 3, wherein the relevance display unit includes a selection detection unit that detects which one of the identifiers is selected, and a sentence corresponding to the selected identifier. A document speed reading support device, comprising: a space resetting unit that resets the display space based on the space. 5. The document speed reading support device according to claim 1, wherein the relevance display unit corresponds to a selection detection unit that detects which one of the identifiers has been selected, and the selected identifier. A document speed reading support device, comprising: a sentence display unit for displaying a sentence to be read. 6. The document speed reading support device according to claim 5, wherein the relevance display unit detects which of the keywords included in the sentence displayed on the sentence display unit has been selected. And a space resetting unit that resets the display space based on the selected keyword, the document speed reading support device. 7. A keyword extracting process for extracting a word or a clause constituting the document from document data constituting one or a series of documents and extracting a keyword corresponding to the extracted word or clause from the document data. A relevance display step of setting a display space on the basis of the extracted plurality of keywords, and visually displaying on a display device the mutual relevance of the contents of each sentence constituting the document in the display space; A document speed reading support method characterized by being provided. 8. The document speed reading support method according to claim 7, wherein the degree of relevance between the contents of each sentence is visually displayed as a distance perspective within the display space. Speed reading support method. 9. The document speed reading support method according to claim 7, wherein an identifier corresponding to each of the sentences is displayed. 10. The document speed reading support method according to claim 9, wherein a selection detection step of detecting which one of the identifiers is selected on the display screen of the display device, and a sentence corresponding to the selected identifier. A space speed resetting process for resetting the display space based on the above, and a document speed reading support method. 11. The method for supporting document speed reading according to claim 7 or 8, wherein a selection detecting step of detecting which one of the identifiers is selected on the display screen of the display device, and A document speed reading support method comprising: a sentence display step of displaying a corresponding sentence on the display device. 12. The document speed reading support device according to claim 11, wherein a keyword selection detecting step of detecting whether any of the keywords included in the displayed sentence is selected, and based on the selected keyword. A space speed resetting process for resetting the display space, and a document speed reading support method, comprising: 13. A document speed-reading support program for causing a computer to function as a document speed-reading support device having a display device, wherein a word or a clause forming the document is extracted from document data forming one or a series of documents. A keyword corresponding to the extracted word or phrase is extracted from the document data, a display space is set based on the plurality of extracted keywords, and each of the sentences constituting the document is set in the display space. A document speed reading support program that visually displays the relationship between contents on a display device. 14. The document speed reading support program according to claim 13, wherein the degree of the relevance of the contents of each sentence to each other is visually displayed as a perspective of a distance in the display space. Speed reading support program. 15. The document speed reading support program according to claim 13 or 14, wherein an identifier corresponding to each sentence is displayed. 16. The document speed reading support program according to claim 15, wherein which one of the identifiers is selected is detected on a display screen of the display device, and the document is read based on a sentence corresponding to the selected identifier. A document speed reading support program that reconfigures the display space. 17. The document speed reading support program according to claim 13 or 14, wherein which of the identifiers is selected on the display screen of the display device is detected, and a sentence corresponding to the selected identifier is displayed. A document speed reading support program, which is displayed on the display device. 18. The document speed reading support program according to claim 17, wherein it is detected whether any of the keywords included in the displayed sentence is selected, and the display space of the display space is detected based on the selected keyword. A document speed reading support program that allows you to perform resetting. 19. A recording medium on which the document speed reading support program according to any one of claims 13 to 18 is recorded.