JP2000285115A - Document creation device, document creation method, and storage medium storing document creation program - Google Patents

Abstract

(57) [Summary] [Problem] To evaluate the quality of a document input by a user, add a function of visually presenting the document to a user, and automatically execute the document by a simple operation of a mouse or the like. Abstract: Provided is a document creation device that performs proofreading and reduces the load on a user. SOLUTION: A function of correcting a document so as to satisfy the evaluation value by defining an evaluation value of a document by an arbitrary method, and further by defining an evaluation value of the document by an arbitrary method. This is realized by having a function of presenting a part that does not satisfy the evaluation value.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to a document creating apparatus for creating a document.

[0002]

2. Description of the Related Art In recent years, the number of opportunities for creating a document on a personal computer, a word processor, or the like has been increasing, and a technique for easily inputting, modifying, and editing a document has been demanded. There is a spell checker as a function to correct mistakes, and an input completion function as a function to assist input.

[0003]

However, these functions are for making grammatical corrections or complements, and are not for judging the quality of a document or for correcting them.

Accordingly, the present invention adds a function of evaluating the evaluation contents such as the quality of a document with respect to a document input by a user by using items such as "hardness" and "difficulty" indicating a document expression. It is an object of the present invention to add a function of visually presenting them to a user, to automatically proofread a document by a simple operation of a mouse or the like, and to reduce a load on the user.

[0005]

In order to achieve the above object, the present invention provides a document creating apparatus having means for evaluating a document by inputting an evaluation value of the document.
It has a function of correcting a document so as to satisfy the evaluation value, and a function of presenting a portion that does not satisfy the evaluation value by inputting the evaluation value of the document.

[0006]

(Embodiment 1) An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of the document creation apparatus. The input means 101 is for inputting a document, and instructing editing and correction of the input document. Generally, any one of a keyboard, a mouse, a magnetic disk, a magnetic tape, an OCR, an optical disk, a network connection device, and the like, or a plurality of types are used.

[0008] The evaluation control unit 102 controls the entire document creation apparatus. Specifically, a document input from the input unit 101 is temporarily stored, and is sent to the document analysis unit 103. A document analysis result from the document analysis unit 103 is received.
A sentence to be processed so that the analysis result can be easily viewed by the user and to be corrected in accordance with the user's instruction is sent to the document correction unit 105. Each processing will be described in detail below.

The document analysis unit 103 receives character data under the control of the evaluation control unit 102, analyzes the document using the document analysis knowledge 104, and sends the document analysis result to the evaluation control unit 102.

[0010] Under the control of the evaluation control unit 102, the document correction unit 105 applies the document analysis knowledge 10 to the document analysis result passed from the evaluation control unit 102 in accordance with a user instruction.
4, the document is appropriately modified, and the result is returned to the evaluation control unit 102.

The output means 106 presents an input document, an evaluation value, and the like to the user. Generally, one of an optical display and a printer or a plurality of types are used.

First, a user inputs a document using the input means 101. The input document is temporarily stored in a memory (not shown) of the evaluation control unit 102. The input document is sent to the document analysis unit 103 when the input is completed. Of course, it may be sent to the document analysis unit 103 every time one sentence is input, or may be sent at the time of a user's instruction, but here, it is assumed that it is sent when all the documents have been input. I do.

The document analysis unit 103 analyzes a document using the document analysis knowledge 104. The document analysis unit 103 analyzes the document for each sentence, and outputs a document analysis result obtained by adding an evaluation point to each analysis result. FIG. 3 shows the document analysis unit 10.
3 is a configuration diagram.

The document analysis control unit 301 includes an evaluation control unit 102
Is sent to the sentence analysis unit 302 for each sentence, and sent to the evaluation control unit 102 for document analysis results with evaluation points.
The sentence analysis unit 302 analyzes the analysis knowledge 3 in the document analysis knowledge 104.
Sentence analysis is performed using 04. The sentence analysis referred to here may be a general method such as morphological analysis, syntax analysis, and semantic analysis. In this embodiment, morphological analysis is performed. The analysis result without evaluation points obtained by the sentence analysis unit 302 is sent to the evaluation point addition unit 303, and the evaluation point addition unit 303 attaches evaluation points to the analysis results using the evaluation knowledge 305. The evaluation score is a value for evaluating the politeness, hardness, difficulty, and the like of a sentence. In this embodiment, only hardness is used. The analysis result of the sentence to which the evaluation point is attached (hereinafter, sentence analysis result) is returned to the document analysis control unit 301, and is stored in the memory as a part of the document analysis result. Here, the document analysis result is a collection of sentence analysis results. By repeating the above process, each sentence in the document is evaluated.

Next, a specific document processing method in the document analysis unit 103 will be described with reference to FIG. First, from the evaluation control unit 102 to the document analysis control unit 301
The document shown in FIG. Document analysis control unit 3
01 is sent to the sentence analyzer 302 one sentence at a time. First, the first sentence, "Dear Sirs, I am grateful to you for your continued pleasure." The sentence analysis unit 302 performs morphological analysis and returns an analysis result shown in FIG. The analysis result includes fields in which the sentence number, word order, headword, part of speech, and evaluation score are described.

Next, the analysis result of the sentence analysis unit 302 is sent to the evaluation point addition unit 303, and evaluation points are assigned to each headword using the evaluation knowledge 305. Evaluation knowledge 30
Numeral 5 indicates the "hardness" of a word or an entry that is a sequence of words, and indicates an entry that can be replaced in order to change the hardness without changing the meaning. The entry number, word sequence, Hardness is composed of pointers. The word sequence represents the sequence of the headwords and is arranged in the order of the Iueo. A pointer indicating a degree or a similar expression is applied to a word string having the same sequence. “Hardness” indicates a degree of hardness of a word string represented by a word sequence. In this embodiment, an integer value from +5 (hard) to -5 (closed) is taken. Pointers connect entries containing expressions similar to those represented by word sequences. Here, a + pointer and a-pointer are prepared, and + is a number to an entry containing a similar expression having a larger hardness value and-being a smaller hardness value. If there is no similar expression, enter 0. Of course, similar words may be expressed using a grouped table or the like. An example of the evaluation knowledge 305 is shown in FIG. Also, here, the analysis knowledge 305 has only a field of hardness, but there may be a field of other (policy, difficulty, etc.).

The evaluation point adding unit 303 selects, from the evaluation knowledge,
It searches for a word sequence that matches the sequence of headwords in the sentence analysis results, and attaches an evaluation score to the analysis results. If there is no evaluation knowledge, a mark indicating that evaluation is unnecessary is given.
Here, "-" is added. For example, "Dear Sir"
“Tokishita” is +3, “Masuru” is 0, and “Goseiei” is +5. FIG. 6 shows an example of a sentence analysis result to which evaluation points are added by the above method.

When the analysis is completed for all the sentences in the document, all the sentence analysis results are put together and returned to the evaluation control unit 102 as a document analysis result.

The evaluation control unit 102 calculates an evaluation score for each sentence in the document using the received document analysis result, and outputs the result to the display unit 106. FIG. 7 shows a configuration diagram of the evaluation control unit 102. The control storage unit 701 receives the document analysis result from the document analysis unit 103, and
Send to 2. The sentence evaluation unit 702 calculates an evaluation score for each sentence from the document analysis result. There are various methods for calculating the evaluation points. Here, the average of the evaluation points of each morpheme is used as the evaluation point of the sentence. However, elements without evaluation points are not included in the calculation. The first sentence has an evaluation point of +3 from the morphological analysis result of FIG. Similarly, the second,
When the evaluation points of the three sentences are calculated and all the evaluation points in the document are calculated, the calculation result is returned to the control storage unit 701. FIG. 8 shows an example of the calculation result.

The control storage unit 701, having received the evaluation calculation result for each sentence from the sentence evaluation unit 702, processes the evaluation result into an easy-to-understand form and presents it to the user using the display unit 106. Here, FIG. 9 shows an example in which a bar graph is displayed.
Of course, the evaluation values are displayed as they are, displayed as a table, displayed using a graph display (pie graph, line graph, radar graph, etc.) other than a bar graph, and the evaluation values are classified into levels (for example, -5 or more and less than -3). Is A, -3 or more-
A method may be used in which the level is displayed by displaying the level as less than one (B is less than 1), or the color is associated with the level (for example, A is red, B is blue, etc.) and the sentence is changed in color and displayed. .

In the above embodiment, the evaluation scores of the second and third sentences are low. The user trying to create a hard document understands that the second and third sentences are insufficiently hard, and gives an instruction to correct the sentence using the input unit 101. For example, in order to increase the evaluation score of the second sentence, the graph corresponding to the second sentence of the bar graph displayed in FIG. 9 is clicked to expand the scale, and bring up to the +2 portion. FIG. 10 shows an example in which the scale is extended.

Of course, as a method of the correction instruction, the evaluation value is directly input as a numerical value, the level is changed when the level is divided, and the color is corrected when the level is classified by color. May be used.

The control storage unit 701 recognizes the above input,
Sentence analysis results and target evaluation points to correct the second sentence,
+2 is sent to the document correction unit 105. FIG. 11 shows a sentence analysis result of the second sentence.

Document correction unit 105 receiving the sentence analysis result
Uses the evaluation knowledge 305 of the document analysis knowledge 104 to correct the analysis result. FIG. 12 shows a flowchart of the correction process.

First, 1 is set to an integer n at 1202. In step 1203, it is checked whether a sequence of headwords starting from the n-th word has been entered in the evaluation knowledge 305. If no entry has been made, the process proceeds to 1208. If an entry has been made, the process proceeds to step 1204, and if it is desired to increase the evaluation value, whether there is a + pointer to a similar expression,
To lower the evaluation value, check whether there is a -pointer to a similar expression. The evaluation knowledge takes the form shown in FIG. 5, and if there is a similar expression, the pointer is linked to another entry. If not, the process proceeds to 1208. If there is, the expression is rewritten to a large (small) expression at 1205, the sentence evaluation value is calculated again at 1206, and if it exceeds (lower) the target evaluation value, the processing is terminated. If the target evaluation value is not exceeded (not less than), the process proceeds to 1207 to check whether another similar expression exists. If there is, the process returns to step 1205 and the evaluation is performed again. If it does not exist, the process proceeds to 1208, where 1 is added to n, and it is checked whether or not n does not exceed the number of words of one sentence. If the number of words exceeds one sentence, the process is terminated.

A specific description will be given using the example of FIG. First, when n is 1, “this” is selected as a target word. When the word sequence starting from "this" is checked from the evaluation knowledge 305, "this / previous" matches, so the process proceeds to 1204.
Since it is desired to increase the evaluation value of the second sentence, in step 1204, a + pointer for "this / previous" is searched for a similar expression.
As a result, since “before” (hardness 5) of entry number 1 exists in the evaluation knowledge 305, “before” of the sentence analysis result is rewritten to “before” in 1204 and 1205. After that, the sentence evaluation value is calculated in step 1206, but it becomes +0.6, which does not exceed the target evaluation value +2.
There is no search for other similar expressions.
8, go to 1209, increase n by 1, and go to the next word. By repeating the above processing, the analysis result of FIG.
3, the sentence evaluation value becomes +2.5, and satisfies the target evaluation value +2.
Is returned to the storage control unit 701. The storage control unit rewrites the sentence evaluation value shown in FIG. 8, sends the result to the output unit 106, and presents the correction result to the user. FIG. 14 shows a display example.

The present invention is not limited to the above embodiment. For example, in the above embodiment, a correction instruction was given to one sentence in a document, but a correction instruction for a plurality of sentences may be given, and a plurality of sentence analysis results may be sent to the document correction unit. Second, third
FIG. 15 shows a display example when the hardness +2 is given to the sentence.

The correction instruction may specify a range instead of a sentence unit and send a sentence analysis result corresponding to the range to the document correction unit. FIG. 16 shows a display example in the case where the range is specified and the hardness +2 is given.

Further, in the above embodiment, only the "hardness" of the sentence has been described, but a plurality of evaluation values such as "attentiveness" and "difficulty" can be used.

When a plurality of evaluation values are used, a correction instruction may be given by handling each evaluation value, or a correction instruction may be given by integrating a plurality of evaluation values. For example, if an evaluation “easy to read” is prepared and a rule is described that satisfies both conditions such as “hardness + 2 or more” and “difficulty−2 or less”, the user will say “easy to read”. The system expands the input just by giving an instruction, "hardness +2 or more""Difficulty -2 or less"
It can be realized by expanding the condition and correcting the sentence.

(Embodiment 2) Next, another embodiment will be described. This is to present a sentence that does not satisfy the evaluation point set by the user from the entire input document.
Hereinafter, a description will be given focusing on differences from the first embodiment.

The user operates the input unit 101 as in the first embodiment.
Enter the document using. The document is shown in FIG. The evaluation control unit 102 sends the document to the document analysis unit 103, and a document analysis result is returned. The evaluation control unit 102 uses the sentence evaluation unit 702 to calculate an evaluation point for each sentence of the document analysis result. The document analysis result internally obtains an evaluation score for each sentence as shown in FIG. 8, and the input means is presented to the user by the output means 106.

Here, it is assumed that the user gives an instruction to present a sentence having an evaluation score lower than 2 using the input means 101 (FIG. 18). The instruction is sent to the control storage unit 701, and the control storage unit 701 checks the evaluation score for each sentence that has already been created, and presents only sentences with evaluation scores lower than 2 in a form that the user can understand. FIG. 19 shows a display example. In the present embodiment, the screen is shaded, but the color may be changed or the screen may be displayed on another screen.

Of course, it is also possible to display not a sentence that does not satisfy the evaluation score but a morpheme that does not satisfy the evaluation score. In this case, the evaluation points of all the words in the document analysis result are not the evaluation points for each sentence created in the control storage unit 701.
What is necessary is just to check whether the evaluation point specified by the user is satisfied. FIG. 20 shows the display result.

The present invention is not limited to the above embodiment.
For example, in the above embodiment, the user sets the evaluation score after the document is displayed, but the analysis may be started after the user sets the evaluation score. The method of setting the evaluation points may be a method of directly modifying a graph or the like displayed on the screen as in the first embodiment, instead of entering numerical values.

Further, a sentence satisfying the evaluation point may be presented instead of a sentence not satisfying the evaluation point.

[0037]

The document created by the user is analyzed based on the analysis knowledge information, and the evaluation corresponding to the analysis result is shown to the user according to the state of the document creation, thereby improving the user's document creation efficiency. be able to.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a document evaluation and proofreading device of the present invention.

FIG. 2 is a diagram showing an example of an input document.

FIG. 3 is a block diagram showing a configuration of a document analysis unit.

FIG. 4 is a diagram showing an analysis result when the sentence analysis unit is terminated.

FIG. 5 is a diagram showing an example of evaluation knowledge used in the present invention.

FIG. 6 is a diagram showing an example of a document analysis result by the document evaluation / proofreading device of the present invention.

FIG. 7 is a block diagram showing a configuration of an evaluation control unit in the document evaluation and proofreading device of the present invention.

FIG. 8 is a diagram showing a sentence evaluation point of each sentence in the document evaluation / proofreading device of the present invention.

FIG. 9 is a view showing a specific example of display in the document evaluation and proofreading device of the present invention.

FIG. 10 is a view showing a specific example of display in the document evaluation and proofreading device of the present invention.

FIG. 11 is a diagram showing an example of a sentence analysis result in the document evaluation and proofreading device of the present invention.

FIG. 12 is a flowchart showing the flow of a document correction process in the document evaluation and proofreading apparatus of the present invention.

FIG. 13 is a view showing an example of a sentence analysis result after correction by the document evaluation / proofreading device of the present invention.

FIG. 14 is a view showing a specific example of display by the document evaluation / proofreading device of the present invention.

FIG. 15 is a view showing a specific example of display.

FIG. 16 is a diagram showing a specific example of display.

FIG. 17 is a view showing a specific example of display.

FIG. 18 is a view showing a specific example of display.

FIG. 19 is a view showing a specific example of display.

FIG. 20 is a view showing a specific example of display.

[Explanation of symbols]

 101 ... Input means 102 ... Document creation support control unit 103 ... Document analysis unit 105 ... Display means

Claims (7)

[Claims] An input unit for inputting a document, a document storage unit for storing the input document data, analysis knowledge information for decomposing the document data into morphemes, and a document expression for each morpheme. Document analysis knowledge storage means for storing an evaluation value indicating a scale, and a document for decomposing document data stored in the document storage means into morphemes based on the analysis knowledge information and obtaining an evaluation value corresponding to the morpheme. Analysis means, document evaluation means for obtaining an evaluation result of document data based on the evaluation value obtained by the document analysis means, and display means for displaying evaluation contents according to the evaluation result of the document evaluation means. Characteristic document creation device. 2. The document analysis knowledge storage means has a plurality of document expression items and stores an evaluation value for each item, and the document analysis means obtains an evaluation value for a morpheme for each item of the document expression. 2. The document creation device according to claim 1, wherein the evaluation unit obtains an evaluation result of the document data for each item of the document expression. 3. The document analysis knowledge storage means further stores the relationship between morphemes of different expressions having different scales of expressions for morphemes, and evaluates the document expressions corresponding to the evaluation contents displayed on the display means. Correction instruction means for instructing correction by changing the scale of the document analysis means, and document correction means for obtaining a morpheme of another expression of the document analysis knowledge storage means so as to satisfy the changed evaluation scale instructed by the correction instruction means. A document creation device, comprising: 4. Document input means for inputting a document,
Sentence evaluation means for determining an evaluation value of an input document, evaluation value input means for inputting an evaluation value desired by a user, and document creation having a document presentation function for presenting a portion not satisfying the input evaluation value apparatus. 5. A document input means for inputting a document,
Sentence evaluation means for determining an evaluation value of an input document, evaluation value input means for inputting an evaluation value desired by a user, and document creation having a document presentation function for presenting a portion satisfying the input evaluation value apparatus. 6. A step of inputting a document, and a step of storing the input document data in a storage unit.
Analysis knowledge information for decomposing document data into morphemes,
Using document analysis knowledge storage means for storing an evaluation value indicating a scale corresponding to a document expression for each morpheme, the document data stored in the storage means is decomposed into morphemes based on the analysis knowledge information. And a step of obtaining an evaluation result of the document data based on the obtained evaluation value, and a step of displaying an evaluation content corresponding to the evaluation result. 7. A step of inputting a document, a step of storing the input document data in storage means,
Analysis knowledge information for decomposing document data into morphemes,
Using document analysis knowledge storage means for storing an evaluation value indicating a scale corresponding to a document expression for each morpheme, the document data stored in the storage means is decomposed into morphemes based on the analysis knowledge information. A storage medium storing a document creation program, comprising: a step of obtaining an evaluation value corresponding to the above, a step of obtaining an evaluation result of document data based on the obtained evaluation value, and a step of displaying an evaluation content according to the evaluation result.