JPH0696117A - Document change supporting system - Google Patents

Abstract

PURPOSE:To change the style of an example sentence called from a data base (from a affirmative sentence to a negative sentence or an interrogative sentence, for example,) by an instruction. CONSTITUTION:When the affirmative sentence is inputted in a step 10, for example, it is analyzed for the unit of a word or phrase by sentence construction analysis processing and in the case of changing that sentence into the negative sentence, it is changed into the negative sentence by inserting any negative word in a step 30 or the like. In the case of changing the sentence into the interrogative sentence containing any interrogative word, it is changed into the interrogative sentence containing the interrogative word by adding the interrogative word in a step 70 and in the case of changing the sentence into the interrogative sentence containing no interrogative word, the style of the affirmative sentence is changed into the interrogative sentence containing no interrogative word by adding any auxiliary verb or exchanging the order of words in a step 80, displayed and outputted from an output device.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a means for supporting this change in the style of example sentences stored in advance.

[0002]

2. Description of the Related Art One of the prior arts for supporting modification of example sentences is described in Japanese Patent Laid-Open No. 60-50573. There, it is described as an electronic grammar learning machine that corrects a grammatically erroneous part, for example, from the relationship between the person and the tense as a result of changing part of the words in the example sentence. The grammatical error here refers to a grammatical check in matching the person or the tense of the main subject.

[0003]

The above-mentioned conventional technique corrects a grammatical error caused by changing a word in an example sentence. For example, the subject does not match the verb due to the change in the subject. Or, it is possible to correct a grammatical error such as a tense disagreement due to a verb change in a compound sentence. However, if the example sentence is an affirmative sentence and you want to change the affirmative sentence to a negative sentence or a question sentence, each word itself does not change to another word, for example, just insert a negative word, or Regarding the change of the style such as changing only the word order, there is a problem that the conventional technique cannot correct it unless a grammatical error occurs.

The object of the present invention is to insert a negative word, change the word order, and further change the question word when the example sentence is an affirmative sentence and it is desired to change it to a negative sentence or a question sentence by simply instructing the change of the style. Even if the example sentence is a negative sentence or a question sentence, it can be changed to an affirmative sentence by simply instructing the style change, and the grammatical error may not be corrected until the grammatical error occurs. No, there is to automatically change the style even if there is no grammatical error.

[0005]

In order to achieve the above-mentioned object, in the present invention, an example sentence stored in advance in a database is analyzed in phrase units using syntactic analysis, and the subject, verb and adverb (phrase) are analyzed. For example, when the example sentence is an affirmative sentence, by instructing to change it to a negative sentence or a question sentence, you can add negative words, auxiliary verbs, verbs, etc. Do and change to negative or interrogative.

The document changing procedure in the present invention is shown below. (1) Read necessary example sentences from the database, analyze the example sentences by phrase by syntactic analysis, further extract subjects, verbs, auxiliary verbs, adverbs (phrases), etc., and change the information such as tense and phrase structure to document change information. Store in the storage table. Next, using the information stored in the document change information storage table, when changing to a negative sentence, a negative word is inserted at an appropriate position in the example sentence. Further, regarding the change to the question sentence, when changing to the question sentence without using the interrogative, the word order is changed according to the document change rule stored in the document change rule table. On the other hand, when making an interrogative sentence using an interrogative, the word group (phrase) candidates that can be interrogative are displayed, the selected one is replaced with an appropriate interrogative, and the document stored in the document change rule table is displayed. The example sentence is changed to a question sentence according to the change rule. Further, the subject of the example sentence is the first person, and when changing to the question sentence, the subject is changed to the second person and then changed to the question sentence.

(2) When the example sentence read from the database is an interrogative sentence and the example sentence is changed to a plain sentence, and when the interrogative sentence does not include a question word, the document stored in the document change rule table The word order is changed according to the change rule. On the other hand, when an interrogative sentence contains an interrogative, it is replaced with the event (person, object, place, etc.) represented by the interrogative. Further, after replacing the question word with an event, the example sentence is changed to an affirmative sentence by the document change rule stored in the document change rule table.

(3) When an example sentence read from the database is changed to a honorific expression, the type of the honorific expression is displayed, the honorific expression desired to be changed is selected, and the corresponding honorific expression database stores the relevant honorific expression. Change the example sentence to honorific expression.

(4) In a sentence in which the example sentence is changed, a word information storage table for storing information (proper nouns, etc.) regarding uppercase and lowercase of each word by syntax analysis and storing words that should be in uppercase The upper case word database is provided, and when the words in the sentence in which the example sentence is changed clearly have an error in upper case and lower case, the upper case or lower case is corrected from the word information storage table.

[0010]

In the present invention, the example sentences read from the database are analyzed by the existing syntactic analysis in phrase units such as subject, verb, adverb (phrase) (words in the case of verbs), and the result is compared to the example sentences. For example, when the example sentence is an affirmative sentence and is changed to a negative sentence or a question sentence, it can be changed to a negative sentence or a question sentence only by instructing the change. That is,
When making a negative sentence, the verb is extracted from the example sentence, the type of the verb (for example, Be verb or general verb), the person, the tense, etc. are discriminated, and the negative word is inserted at an appropriate place, or the auxiliary verb is added. Change it to a negative sentence by adding it. On the other hand, when making an interrogative sentence, the information necessary for changing the interrogative sentence such as the subject or verb is extracted from the example sentence, and when changing to an interrogative sentence without an interrogative sentence, an auxiliary verb is added depending on the type of the verb, Change the word order into an interrogative sentence. When changing to an interrogative sentence with an interrogative word, display the word group (phrase) that can be a candidate that can be replaced with the interrogative word, replace it with the interrogative word that corresponds to the selected word group (phrase), and change the word order etc. Change to a question by changing. On the contrary, when the example sentence read from the database is a question sentence or a negative sentence, when changing to an affirmative sentence, it is possible to change to an affirmative sentence by instructing the change similarly to the changing process of.

Also, when changing the example sentences into honorific expressions,
By displaying the type of honorific expression and selecting an appropriate honorific expression, it is possible to call the corresponding honorific expression from the honorific expression database in which the honorific expressions are stored and change the example sentence into the honorific expression.

Furthermore, the example sentence is analyzed word by word, and the result of analyzing each word information (leading word, proper noun, etc.) and an uppercase word database that stores words that should be in uppercase are originally written in uppercase or lowercase. You can check the spelling of words that should be and correct example sentences.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described below with reference to FIG. It should be noted that in the following embodiments, a sentence changing means using a result obtained by analyzing an example sentence by syntax analysis will be mainly described.

In step 10, an example sentence to be changed is read from the input device 11 of FIG. 6, and the read example sentence is stored in the fixed sentence storage table 15 (FIG. 7). Next, the subject, the verb, and the auxiliary verb are extracted by syntactic analysis, and the adverb (phrase) is extracted by the phrase unit analysis. The result extracted by the analysis is stored in the document change information storage table 16 (FIG. 8). The parsing technique is a known technique,
For details, see, for example, Chapters 2 and 5 of Kazuhiro Fuchi, Basic Theory of Natural Language (Kyoritsu Shuppan).
The description is omitted here. However, the syntactic analysis here is used in a broad sense, including morphological analysis, multi-part-of-speech elimination, and tense analysis. Details of step 10 are shown in FIG.
Will be described later.

In step 20, it is determined whether or not the example sentence stored in the document change information storage table 16 is changed to a negative sentence.

In step 30, when it is determined in step 20 to change to a negative sentence, the document change rule table 17 (FIG. 9) is used to change to a negative sentence and the changed sentence is stored in the changed document storage table (negative sentence). ) 18 (FIG. 10). Details of step 30 will be described later with reference to FIG.

In step 40, it is judged whether or not the example sentence stored in the document change information storage table 16 is changed to an interrogative sentence.

In step 50, when it is determined in step 40 that the question sentence is to be changed, the question sentence is changed to
It is judged whether or not to change to a question sentence including an interrogative.

In step 60, when it is determined in step 50 that the question sentence includes the question word, the word group (phrase) candidates that can become the question word are stored in the document change information storage table 16.
6 is displayed by the output device 13 of FIG. 6 so that the user can select it.

In step 70, the word group (phrase) selected in step 60 is replaced with an interrogative word, and the example sentence is converted into an interrogative sentence including the interrogative word by using the document alteration rule stored in the document alteration rule table 17. change. Note that step 6
Details of 0 and step 70 will be described later with reference to FIG.

In step 80, when it is determined in step 50 that the question sentence does not include the question word, the document is changed from the information about the subject, verb, auxiliary verb, and phrase structure stored in the document change information storage table 16. By changing the word order using the change rule table 17, the example sentence is changed to a question sentence that does not include an interrogative.
Details of step 80 will be described later with reference to FIG.

Next, step 10 will be described in detail.
As shown in FIG. 2, in step 110, an example sentence is read from the input device 11. Next, in step 120, the example sentence is stored in the change target sentence column 1502 of the example sentence storage table 15 (FIG. 7). Note that the example sentence numbers are stored in the example sentence number column 1501 of the example sentence storage table 15 in the order in which the example sentences are stored, starting from 1. Next, in step 130, the change sentence stored in the change target sentence column 1502 of the example sentence storage table 15 is syntactically analyzed to extract the subject, auxiliary verb, and verb. Furthermore, based on the result of the syntactic analysis, analysis is performed for each phrase, and nouns (phrases), adverbs (phrases), etc. are extracted. Step 14
In 0, based on the analysis result of the example sentence extracted in step 130, first, the example sentence is divided into words and stored in the example sentence column 1602 of the document change information storage table 16 (FIG. 8). Next, in the subject, auxiliary verb, and verb position column 1603 of the document change information storage table 16, each morpheme code is stored at the location corresponding to the subject, auxiliary verb, and verb position. next,
The result of the phrase-by-phrase analysis is stored in the phrase structure column 1605 of the document change information storage table 16 at the beginning word position of each phrase. Next, among the analysis results in phrase units, the tense of the verb (phrase) is the document change information storage table 16
It is stored in the verb position (if there is an auxiliary verb, the auxiliary verb position) in the verb tense column 1604.

Next, the step 30 will be described in detail. As shown in FIG. 3, first, in step 310, the document modification information storage table 16 (FIG. 8) in step 10 described above.
The subject, auxiliary verb, and morpheme information about the subject, auxiliary verb, and verb stored in the verb position column 1603 are called. Next, in step 320, it is determined whether the example sentence includes an auxiliary verb. If the result of the determination is that there is an auxiliary verb, the procedure goes to step 330. In step 330, a negative word is added immediately after the auxiliary verb. On the other hand, in step 320, when the auxiliary verb is not included in the example sentence, the process proceeds to step 340.

At step 340, Be is included in the example sentence from the morphological information about the subject, auxiliary verb, and verb stored in the verb position column 1603 of the document change information storage table 16.
Determine if there is a verb. If the result of the determination is that there is a Be verb, go to step 350. In step 350, a negative word is added immediately after the Be verb.
On the other hand, if the Be verb is not included in the example sentence in step 340, the process proceeds to step 360. Step 360
Then, since the verb in the example sentence is a general verb (including have), in order to change it to a negative sentence, the auxiliary verb d is placed immediately before the verb.
It is necessary to add o. Therefore, the verb information stored in the subject, auxiliary verb, and verb position column 1603 of the document change information storage table 16 is called to determine the verb type by the person. Further, from the verb tense column 1604 of the document change information storage table 16, the tense of the verb of the correction sentence is determined.

Next, in step 370, step 36
In response to the verb type determination result of 0, a process of adding an auxiliary verb do (including does and did) immediately before the verb is performed,
Go to step 330. Next, in step 380, an example sentence that has been changed by adding an auxiliary verb immediately before the verb in the example sentence or adding a negative word after the auxiliary verb is stored in the changed document storage table (negative sentence) 18 (FIG. 10). . That is, the example sentence changed to the negative sentence is changed in the order of the subject, auxiliary verb, negative word, verb, other (adverb phrase, etc.), and the ending mark in the subject column 1811 and auxiliary verb column 1812 of the document storage table (negative sentence) 18.
Negative word column 1813, verb column 1814, other column 181
5, stored in the end column 1816. However, the applicable word
No information is stored for the columns where (phrase) does not exist.

Above, the detailed description of step 30 is completed, and then the detailed description of step 60 and step 70 will be given. As shown in FIG. 4, first, in step 610, the document change information storage table 16 is read in step 140.
The subject, auxiliary verb, and subject, auxiliary verb, and verb information stored in the verb position column 1603 of FIG. 8 are called. Further, the phrase code stored in the phrase structure column 1605 of the document change information storage table 16 is called. Then, step 620
Then, a phrase that can be replaced with an interrogative is determined from the phrase code of the example sentence called in step 610. Step 6
In step 30, the word group (phrase) candidates that can be replaced with the interrogative word determined in step 620 are output from the output device 13 of FIG. 6 and displayed.

Next, in step 640, step 63
The user selects a word group (phrase) desired to be changed to an interrogative word from the word group (phrase) candidates that can be replaced with the interrogative word displayed as 0.
In step 650, the word group selected in step 640
The document change rule table 17 is added to the question word corresponding to (phrase).
Replacement is performed using the interrogative conversion information stored in the interrogative conversion column 1703 (FIG. 9). The replaced question word is stored in the question word column 1821 of the changed document storage table (question sentence) 18 (FIG. 11).

Next, in step 710, step 64
Whether the word group (phrase) selected by 0 is the subject, that is,
It is determined whether the subject in the example sentence has been changed to an interrogative. As a result of the determination, when the subject of the example sentence is changed to the question word, the process goes to step 720. In step 720, the word group (phrase) selected in step 640, that is, the example sentences stored in the document change information storage table 16 excluding the subject are stored in the verb column 1 of the changed document storage table (questioned sentence) 18.
824 and the other column 1825 are stored in the example sentence without changing the word order. On the other hand, when a word group (phrase) other than the subject of the example sentence is selected in step 710, step 7
Go to 30.

In step 730, in the example sentence, the subject, auxiliary verb, morpheme code stored in the verb position column 1603 of the document change information storage table 16 other than the word group (phrase) changed into the question word, and the phrase structure column 1605. The example sentence is changed to the interrogative sentence by using the document change rule table 17 according to the phrase code stored in (1) and the verb tense information stored in the verb tense column 1604. Next, the changed sentence is the auxiliary verb of the changed document storage table (questioned sentence) 18,
Be verb column 1822, subject column 1823, verb column 182
4 and the other column 1825 are stored without changing the word order of the example sentences. In step 740, a question mark is stored in the question mark column 1826 of the changed document storage table (question sentence) 18.

Next, the document change rule table 17 will be described in detail. As shown in FIG. 9, first, auxiliary verbs do and Be verbs and auxiliary verbs and Be verbs corresponding to person, plural, and tense are stored in auxiliary verb column 1701 and Be verb column 1822. Further, when changing an example sentence to be changed to an interrogative sentence including an interrogative, the interrogative word corresponding to a word group (phrase) candidate in the example sentence that can be the interrogative word is an interrogative conversion field 1
It is stored in 703.

Next, the step 80 will be described in detail.
As shown in FIG. 5, first, in step 810,
Document change information storage table 16 in step 140 (FIG. 8)
The subject, auxiliary verb, and subject, auxiliary verb, and verb information stored in the verb position column 1603 are called. Further, the phrase code stored in the phrase structure column 1605 of the document change information storage table 16 is called. Next, in step 820,
It is determined from the subject, auxiliary verb, and verb information called in step 810 whether the verb in the example sentence is a Be verb.

As a result of the judgment, when the Be verb is included in the example sentence (when the verb is only the Be verb and the auxiliary verb is not included in the verb phrase), the process goes to step 830. Step 8
At 30, the subject and verb are exchanged in word order. Next, the auxiliary verb B of the changed document storage table (questioned sentence) 18 (FIG. 12), B, in order from the beginning of the sentence whose word order has been changed in step 870.
e verb column 1822, subject column 1823, verb column 1824,
Stored in the other column 1825, respectively.

On the other hand, when there is no Be verb in the example sentence at step 820, the process goes to step 840. In step 840, it is determined from the subject, auxiliary verb, and verb information called in step 810 whether the verb in the example sentence is a general verb. As a result of the determination, when the example sentence includes a general verb (when the verb is a general verb only and the auxiliary verb is not included in the verb phrase), the process proceeds to step 850. In step 850, before the subject in the example sentence, the auxiliary verb do converted using the change information stored in the auxiliary verb column 1701 of the document change rule table 17 (FIG. 9) is added, and at the same time, the verb is changed to the original form. Then, go to step 870. On the other hand, in step 840, if the auxiliary verb is included in the verb phrase in the example sentence, the process proceeds to step 860. In step 860, the word order of the subject and auxiliary verb is exchanged, and the process proceeds to step 870. Since the processing in step 870 is as described above, the description is omitted here. Next, in step 880, a question mark is stored in the question mark column 1826 of the changed document storage table (questioned sentence) 18.

All the changed sentences stored in the changed document storage table (questioned sentence) 18 so far are output from the output device 13 of FIG.

Next, in order to explain the processing of the first embodiment more specifically, the following sentence will be taken as an example sentence.

“She bought a book at the shop.” First, the example sentence is stored in the example sentence storage table 15 from the database.
It is stored in the change target sentence column 1502 of (FIG. 7), the syntactic analysis process is performed for this example sentence, and the subject, word unit,
Extract auxiliary verbs and verbs. Next, analysis is performed in phrase units, adverb phrases, preposition phrases and the like are extracted, and the extracted results are stored in the document change information storage table 16 (FIG. 8). That is, the example sentence column 1 of the document change information storage table 16
An example sentence is divided into word units and stored in 602, and each morpheme information is stored in the subject, auxiliary verb, and verb position columns 1603.
Specifically, in the case of the example sentence, the position of array number 0, that is,
S is stored at the beginning position of the sentence, and V is stored at the position of array element number 1, that is, the verb position. Where subject, auxiliary verb,
The morpheme code stored in the verb position column 1603 is S1,
There are six types, S2, S3, V, AUX, and BE, S is the subject (S1 is the first person, S2 is the second person (plural), S3 is the third person), V is the verb, and AUX is the auxiliary verb. And BE represents the Be verb.

Next, the result of analyzing the tense of the verb (phrase) is stored in the verb tense column 1604. In the case of the example sentence, since the verb is past tense, the tense code PAT is stored. Here, the tense codes stored in the verb tense column 1604 are of two types, PRT and PAT, where PRT represents the present tense and PAT represents the past tense. Next, the result of analysis in phrase units is stored in the phrase structure column 1605. In the case of an example sentence, since it consists of the subject, verb, determiner phrase, and preposition phrase, the phrase code S, V, NT, PN is stored in the beginning position of each phrase, that is, array element number 0, 1, 2, 4 respectively. . Here, S is a subject, V is a verb (phrase), NT is a definite phrase, and PN is a prepositional phrase.

The example sentence is changed based on the above storage result. Therefore, first, an example of processing for changing an example sentence into a negative sentence will be described. When changing to a negative sentence, first, it is determined whether or not there is an auxiliary verb in the example sentence. In the case of an example sentence, from the morpheme code stored in the subject, auxiliary verb, and verb position column 1603 of the document change information storage table 16 (FIG. 8),
Judge that there is no auxiliary verb. Next, it is determined whether the Be verb is in the example sentence. In the case of an example sentence, it is determined that there is no Be verb from the morpheme code stored in the subject, auxiliary verb, and verb position column 1603 of the document modification information storage table 16.

Next, the tense of the person and the verb of the subject are set as the subject, auxiliary verb, and verb position column 1 of the document change information storage table 16.
The judgment is made from the morpheme code of the subject stored in 603 and the verb tense code stored in the verb tense column 1604. In the case of the example sentence, the person of the subject is the third person (single),
Since the tense of the verb is the past tense, to change to a negative sentence, select the auxiliary verb “did” from the auxiliary verb column 1701 of the document change rule table 17 (FIG. 9) and change the verb from the past tense “bought”. Convert to original "buy". The above result, that is, "She" is set in the subject column 1811 of the changed document storage table (negative sentence) 18 (FIG. 10) and the auxiliary verb column 1812.
Is "did", and the negative word column 1813 is "not".
“Buy” is stored in the verb column 1814, “at the shop” is stored in the other column 1815, and “.” Is stored in the closing column 1816.

Next, an example of processing for changing an example sentence into an interrogative sentence will be described. When changing to an interrogative sentence, a phrase that can be replaced with an interrogative phrase is determined from the analysis result of each phrase of the example sentence. In the case of an example sentence, the subject, determiner phrase, and prepositional phrase can be replaced with an interrogative. Therefore, an example of a process of changing an example sentence in which a determiner phrase is replaced with an interrogative sentence into an interrogative sentence will be described. First, the determiner phrase "a book" in the example sentence is replaced with an interrogative phrase. However, since the determiner phrase represents a thing, the question phrase conversion column 1703 of the document change rule table 17 (FIG. 9) indicates "What. ", And stored in the interrogative column 1821 of the changed document storage table (interrogative sentence) 18 (FIG. 11).

Next, since the replaced interrogative word does not replace the subject, the auxiliary verb column of the document change rule table 17 is the same as the processing when changing the example sentence to the negative word.
From 1701, an auxiliary verb is added, the verb is converted to the original form, "did" is stored in the Be verb column 1822 of the auxiliary verb of the change document storage table (question sentence) 18, and "s" is stored in the subject column 1823.
“He” is stored, “buy” is stored in the verb column 1824, and “at the shop” is stored in the other column 1825.
The question mark is stored in the question mark column 1826. Similarly, when the subject of the example sentence is replaced with an interrogative sentence to be changed into the interrogative sentence, the interrogative phrase is converted into the interrogative phrase 17 in the interrogative conversion column 17 of the document change rule table 17.
It is converted to “Who” using 03 and stored in the question word column 1821 of the changed document storage table (question sentence) 18.

Next, without adding auxiliary verbs or converting verbs to their original forms, in the case of an example sentence, the verb is stored in the changed document storage table (questioned sentence) 18 in the past tense. That is, “bought” is stored in the verb column 1824 of the changed document storage table (questioned sentence) 18. Furthermore, in the other column 1825, "a bookat", which is the remaining sentence of the example sentence, is displayed.
"the shop" is stored and the question mark is stored in the question mark column 1826. On the other hand, when the example sentence is changed to the question sentence without being converted into the question sentence, it is determined whether the verb in the example sentence is the Be verb. In the case of an example sentence, the verb is not a Be verb, so it is next determined whether or not the verb (phrase) is composed only of general verbs (including have).
Is a general verb only, the auxiliary verb is added from the auxiliary verb column 1701 of the document change rule table 17 to convert the verb to the original form, and the changed document storage table (Question) 18 auxiliary verbs, B
"did" is stored in the e-verb column 1822, and the subject column 1823
In the verb column 1824, "buy" is stored, and in the other column 1825, "at the shop" is stored.
Further, the question mark is stored in the question mark column 1826.

Through the above processing, the changed document storage table (negative sentence) 18 and the changed document storage table (questioned sentence) 18
The sentence in which the example sentence is changed is stored in the output device 1 of FIG.
3 is displayed and output. The above is the content of the change processing to the negative sentence and the question sentence when the example sentence is actually input.

Next, FIG. 6 shows a hardware configuration for realizing this embodiment. The input sentence (example sentence) is the input device 1
1 is input, and the document change process is executed by the CPU 12. Next, the document modification result is displayed and output by the output device 13. The storage device 14 includes an example sentence storage table 15,
Document change information storage table 16, document change rule table 17, changed document storage table 18, honorific expression database 3001, word information storage table 5001, uppercase word database 5002, document change support program 1
It is divided into areas for storing 9.

Next, a second embodiment of the present invention will be described with reference to FIG.

Since step 10 is the same processing as that of the embodiment, its explanation is omitted here. In the next step 2010, it is determined whether the example sentence is a question sentence. That is, it is determined whether the example sentence ends with a question mark. As a result of the determination, if the example sentence is an interrogative sentence, go to step 2020. On the other hand, if it is not an interrogative sentence, go to step 2070. In step 2070, the example sentence is a negative sentence, and it is determined whether or not to change it to an affirmative sentence. As a result of the determination, when the example sentence is a negative sentence and the sentence is changed to an affirmative sentence, the process proceeds to step 2080. In step 2080, when the verb in the example sentence is a general verb, the auxiliary verb do is deleted, the negative word is also deleted and changed to an affirmative sentence, and then the changed document storage table (affirmative sentence, honorific expression)
18 (FIG. 12). By the way, step 202
At 0, it is determined whether or not the example sentence is changed to an affirmative sentence. As a result of the determination, when the sentence is changed to the affirmative sentence, the process goes to step 2030. If you do not change the example sentences to positive sentences,
The process ends.

At step 2030, it is determined whether or not there is an interrogative in the example sentence. If the result of determination is that there is an interrogative in the example sentence, processing proceeds to step 2040. In step 2040, it is determined whether or not there is an interrogative in the example sentence. If there is a question word in the example sentence as a result of the judgment,
Go to step 2040. In step 2040, the question word conversion column 1703 of the document change rule table 17 (FIG. 9) is used to determine which of the person, the thing, and the place the question word in the example sentence represents.
Analyze by. In step 2050, the interrogative words in the example sentence are replaced with the information to be the interrogative words analyzed in step 2040. Further, in the case of a general verb, the auxiliary verb is deleted, and the verb is changed from the original form to the tense, or from the tense information based on the tense information of the auxiliary verb. In the case of the Be verb, the word order of the verb and the subject is exchanged and stored in the changed document storage table (affirmative sentence, honorific expression) 18. When the subject is an interrogative, it is stored in the changed document storage table (affirmative sentence, honorific expression) without changing the verb and the word order.

On the other hand, if there is no interrogative in the example sentence in step 2030, the process goes to step 2060. Step 20
At 60, in the case of a general verb, the auxiliary verb is deleted, and the verb is changed from the original form to the tense, or from the tense information based on the tense information of the auxiliary verb. In the case of the Be verb, the word order of the verb and the subject is exchanged and stored in the changed document storage table (affirmative sentence, honorific expression) 18.

Next, in order to specifically describe the processing of the second embodiment, the following input sentence (example sentence) will be taken as an example.

"Where does he live?" First, the subject sentence, auxiliary verb and verb are extracted and the verb tense is analyzed and the phrase unit is analyzed by the syntactic analysis process as in the first embodiment. It is stored in the document change information storage table 16 (FIG. 8). Next, it is determined whether the input sentence ends with a question mark. In the case of an example sentence, the sentence ends with a question mark, so it is determined to be a question sentence. Next, it is determined whether or not there is an interrogative in the example sentence. As a result of the determination, the example sentence includes the interrogative word "Where". Therefore, the document change rule table 17
The question word “Where” in the example sentence is replaced with “place” by the question word conversion information stored in the question word conversion column 1703 in FIG. Further, by analyzing the person and tense of the auxiliary verb do, the verb "live" is changed to "lives", and the subject column 1831 and verb (phrase) of the changed document storage table (affirmative sentence, honorific expression) 18 (FIG. 12). “He”, “lives”, and “place” are stored in the column 1832 and the other column 1833, respectively. Further, the end code is stored in the end code column 1834. As described above, the sentence stored in the changed document storage table (affirmative sentence, honorific expression) 18 is displayed and output by the output device 13 in FIG.

Next, a third embodiment of the present invention will be described with reference to FIG.

Since step 10 is the same processing as that of the first embodiment, its explanation is omitted here. In the next step 3010, it is determined whether or not the example sentence is changed to the honorific expression. As a result of the determination, when changing to the honorific expression, go to step 3020. On the other hand, step 3010
When it is not changed to honorific expression with, the processing ends.

In step 3020, the honorific expression pattern is displayed by the output device 13 of FIG. 6 from the honorific expression database 3001 (FIG. 13). By selecting the honorific expression pattern for which the example sentence is desired to be changed from the displayed honorific expression patterns, the example sentence is changed to the honorific expression using the honorific expression database 3001. In step 3030, the example sentence changed to the honorific expression is stored in the changed document storage table (affirmative sentence, honorific expression) 18. Next, details of the honorific expression database 3001 will be described.

The honorific expression database 3001 has a honorific expression (expression to soften the corner) column 3011 and a corresponding expression column 301.
It consists of two. When displaying the honorific expression pattern, the honorific expression column 3 of the honorific expression database 3001 is displayed.
The information stored in 011 is displayed. Next, the example sentence is changed to the honorific expression based on the document change information stored in the corresponding expression column 3012 corresponding to the selected honorific expression.

Next, in order to specifically describe the processing of the third embodiment, the following input sentence (example sentence) will be taken as an example.

"He lives in Osaka." First, the input sentence is parsed as in the first embodiment and stored in the document change information storage table 16 (FIG. 8). Next, it is determined whether or not the honorific expression is used.
As a result of the determination, when changing to the honorific expression, the honorific expression pattern stored in the honorific expression column 3011 of the honorific expression database 3001 (FIG. 13) is output. In the example sentence,
If you select "I want to" as a honorific expression,
The document change information stored in the corresponding correspondence expression column 3012 is called. That is, the subject is deleted, the verb is changed to the original form, and "I should like to" is added to the beginning of the example sentence. As described above, the result of changing the example sentence is the subject column 183 of the changed document storage table (affirmative sentence, honorific expression) 18 (FIG. 12).
1, "I", "should like to live", and "in Osaka" are stored in the verb (phrase) column 1832 and the other column 1833, respectively, and the ending mark is stored in the ending mark column 1834. The sentence stored in the changed document storage table (affirmative sentence, honorific expression) 18 is displayed and output by the output device 13 in FIG.

Next, a fourth embodiment of the present invention will be described with reference to FIG.

Step 10, Step 20, Step 5
Since 0, step 60, step 70, and step 80 are the same processes as the steps of the first embodiment, description thereof will be omitted here. Next, when changing the example sentence input in step 20 into an interrogative sentence, the process proceeds to step 4010. In step 4010, it is determined whether the subject of the example sentence is the first person. As a result of the judgment, the subject of the example sentence is 1
When it is the personal name, the subject is changed to the second name and stored in the document change information storage table 16 (FIG. 8). Since the following processing is the same as the processing of the first embodiment, here,
The description is omitted.

With the above, the description of the fourth embodiment is completed, and then the fifth embodiment of the present invention will be described with reference to FIG.

Since step 10 is the same processing as that of the first embodiment, its explanation is omitted here. In the next step 5010, the first character of the first word of the input example sentence is
Determine if it is uppercase. If the result of determination is that the first letter of the first word of the example sentence is not an uppercase letter, processing proceeds to step 5020. In step 5020, the first word 1
The characters are changed to upper case, and the changed word is stored in the example sentence column 1602 of the document change information storage table 16 (FIG. 8) where the word before the change is stored. Next, in step 5030, the proper noun is detected from the analysis result information stored in the document change information storage table 16 by the syntax analysis, and the word information storage table 50 together with the example sentence is detected.
01 (FIG. 14) stores each word separately in the example sentence column 5012, and stores in the word information column 5013 information that is a “proper noun” under the proper noun. It is determined whether or not the first character of the detected proper noun is uppercase, and if it is lowercase, it is changed to uppercase. Then, step 5040
Then, a word other than the proper noun, which should be clearly uppercase, is converted into an uppercase word database 5002 (FIG. 15).
A search is performed using the word data stored in the word data column 5022. When there is a corresponding word in the example sentence and it is lowercase, it is changed to uppercase and stored in the example sentence column 5012 of the word information storage table 5001. The sentence stored in the example sentence column 5012 of the word information storage table 5001 is displayed and output by the output device 13 of FIG.

[0061]

According to the present invention, the style of an example sentence is determined, and when there is a change instruction to a different style, the document change rule table is obtained based on the analysis result in word units or phrase units obtained by syntax analysis. It became possible to change the style using the document change rules stored in. That is, when the example sentence is, for example, an affirmative sentence, by giving an instruction to change the example sentence to a negative sentence or a question sentence, it is possible to make a minimum document change request for the example sentence.
Made it possible to change to a negative sentence or a question sentence. Also,
By checking the words that should be in uppercase (proper nouns, etc.) for each word in the example sentence, it was possible to correct (change) errors in uppercase and lowercase.

[Brief description of drawings]

FIG. 1 is a flowchart showing a first embodiment of the present invention.

FIG. 2 is a flowchart of step 10.

FIG. 3 is a flowchart of step 30.

FIG. 4 is a flowchart of steps 60 and 70.

FIG. 5 is a flowchart of step 80.

FIG. 6 is a block diagram of hardware according to the embodiment of this invention.

FIG. 7 is an explanatory diagram of an example sentence storage table.

FIG. 8 is an explanatory diagram of a document change information storage table.

FIG. 9 is an explanatory diagram of a document change rule table.

FIG. 10 is an explanatory diagram of a document change storage table (negative sentence).

FIG. 11 is an explanatory diagram of a document change storage table (questioned sentence).

FIG. 12: Document change storage table (affirmative sentence, honorific expression)
Explanatory drawing of.

FIG. 13 is an explanatory diagram of a honorific expression database.

FIG. 14 is an explanatory diagram of a word information storage table.

FIG. 15 is an explanatory diagram of an uppercase word database.

FIG. 16 is a flowchart showing a second embodiment of the present invention.

FIG. 17 is a flowchart showing a third embodiment of the present invention.

FIG. 18 is a flow chart showing a fourth embodiment of the present invention.

FIG. 19 is a flowchart showing a fifth embodiment of the present invention.

[Explanation of symbols]

10 ... Process of reading an example sentence and parsing it by word and phrase by syntax analysis, 30 ... Process of changing to a negative sentence, 70
... Process for changing to a question sentence including an interrogative sentence, 80 ... Process for changing to a question sentence not including an interrogative sentence.

Claims (8)

[Claims] 1. An example sentence storage table for storing an example sentence, a document change information storage table for storing a result of syntax analysis of the example sentence, a changed document storage table for storing a changed sentence, and a document for changing the document. And a document change rule table storing the rule of (1), and changing the style of the example sentence using the document change rule. 2. When changing an example sentence into a negative sentence, the verb and auxiliary verb positions are syntactically analyzed to determine a position where a negative word should be inserted, and the negative sentence in which the negative word is inserted is detected. Document change support system for display and output. 3. The document modification support system according to claim 1, wherein when an example sentence is changed to a question sentence, when a question sentence using an interrogative word is changed, a word group candidate that can be replaced with the interrogative word is displayed and output. 4. In claim 1, when an example sentence is changed to an affirmative sentence, if a negative word or an interrogative word is present, it is determined and deleted from the example sentence, the word order is changed, and the changed affirmative sentence is displayed. Document change support system to output. 5. The document modification support system according to claim 4, wherein when the example sentence is a question sentence including an interrogative sentence, it is replaced with an event represented by the interrogative sentence, changed to an affirmative sentence, and displayed and output. 6. In claim 1, a honorific expression database storing expression terms relating to honorific expressions is provided, and an expression pattern of the honorific expression is displayed and output so that the example sentence can be changed to an appropriate honorific expression. A document modification support system that modifies example sentences using honorific expressions. 7. The claim sentence according to claim 1, wherein the example sentence is a plain text sentence,
A document change support system characterized in that when the subject is in the first person and is changed to an interrogative sentence, the subject is changed to the second person to be an interrogative sentence. 8. A sentence information obtained by changing an example sentence is provided with a word information storage table that stores information on uppercase and lowercase of each word separately for each word, and an uppercase word database that stores words that should be uppercase. A document change support system characterized in that, in each word in a sentence in which an example sentence is changed, the word information storage table is used to correct an error in uppercase and lowercase.