JPH0628340A - Word processor - Google Patents

Abstract

PURPOSE:To obtain the more appropriate word counting result. CONSTITUTION:A word processor is provided with a synonym dictionary data base 221, a retrieving means 220 which retrieves candidate words/phrases corresponding to each word and phrase out of the base 221, a deciding means 219 which decides whether the candidate words/phrases were obtained by the means 220 or not, a word counter means 225 which calculates the using frequency of each word and phrase included in a document, and a deleting means 224 which deletes the words/phrases whose absence in the base 221 is cleared up by the means 219 out of the counting subjects of the means 225.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document processing apparatus having a synonym (synonym) dictionary.

[0002]

2. Description of the Related Art A synonym dictionary function in a document processing apparatus is a synonym dictionary database that searches a synonym dictionary database using an input phrase as a heading phrase, and when the requested information exists in the synonym dictionary database, a synonym candidate corresponding to the heading phrase. Says to create a phrase list.

The main purpose of the conventional synonym dictionary function is to provide another expression having the same meaning in order to avoid the expression becoming monotonous when the single expression is repeatedly used in a sentence. There was In order to meet such a purpose of use, a word count function is used to create a list of frequently used words and phrases, and the frequently used words and phrases are extracted.

[0004]

However, since the word count function is a function of simply calculating the frequency of use of a phrase in a sentence, if the spelling is the same even if the actual usage is different, a single phrase It counts as it counts. This is a particular problem in many conventional word counting functions where counting is limited to words. For example, "make out", "make over"
When counting two idioms “r”, the counts are separated for each word, and as a result, both “makes” are counted as the same. The word count obtained in this way The result is not appropriate from the viewpoint of supporting the synonym dictionary function, which makes the document processing work difficult.

Furthermore, since the word count function is a function that simply calculates the frequency of use of a phrase in a sentence,
It also calculates the frequency of use of words and phrases unrelated to the synonym dictionary function such as proper nouns. As a result, the user will be given a list of unnecessary words that cannot be input to the synonym dictionary function, even though the user has activated the word count function to obtain the words to be input to the synonym dictionary function. It was a big obstacle to using the dictionary function and the word count function together. In addition, when the word count is made to work on a large text, the memory is wasted and exhausted by the processing of such unnecessary words, and the count processing may not be completed.

Therefore, an object of the present invention is to provide a document processing apparatus which solves the above problems.

[0007]

In order to achieve the above object, the present invention provides a synonym dictionary, a candidate phrase search means for obtaining a candidate phrase corresponding to each phrase in a document by searching the synonym dictionary, and the candidate phrase. Judgment means for judging whether or not candidate words have been obtained by the search means, word count means for calculating the frequency of use of each word or phrase in the document, and words or phrases found not to exist in the synonym dictionary by the judgment means Is included in the count target of the word count means.

[0008]

As a result, when the user utilizes the word count function in order to use the synonym dictionary function, it becomes possible to provide a more effective word count result and realize a smoother document processing work. it can.

[0009]

Embodiments of the present invention will now be described in detail with reference to the drawings.

(Embodiment 1) FIG. 1 is a block diagram showing the configuration of a first embodiment when the present invention is applied to an electronic typewriter.

Reference numeral 1 is an input device such as a keyboard or mouse, and 2
Is a control device that comprehensively controls the entire device. 3 is a magnetic disk / memory card / RO for storing various information
An external storage device such as M, 4 is a display device such as a CRT, a liquid crystal display, and a plasma display, and 5 is a printing device such as a thermal printer, a laser beam printer, and an inkjet printer.

The display device 4 is a document under the control of the control device 2.
Display an image or a display image such as a multi-item format screen. The printing device 5 prints out the created document, image, etc. on paper according to the set format. The external storage device 3 saves an input / edited document / image, etc. in a storage medium, and reads out a document, image, etc. saved in this way from the storage medium. Input device 1
Inputs the input information necessary for creating a document or the like to the control device 2.

FIG. 2 is a block diagram showing the configuration of the control device 2.

The input unit 11 is controlled by the control unit 12, reads the data input by the input device 1, and stores it in the temporary storage unit 16 as necessary. The display unit 14 is controlled by the control unit 12, reads out necessary data from the temporary storage unit 16 and displays it on the display device 4. Printing unit 15
Is controlled by the control unit 12, reads out necessary data from the temporary storage unit 16 and outputs the data to the printer 5. The external storage unit 13 is controlled by the control unit 12, and exchanges data with the temporary storage unit 16 as needed.

The synonym dictionary function unit 17 is controlled by the control unit 12, and the control unit 18 controls the input unit 19, the dictionary search unit 20, the replacement unit 22, and the output unit 23.
The input unit 19 provides the control unit 18 with a headword for searching the synonym dictionary database 21. The dictionary search means 20 searches the synonym dictionary database 21 using the headword provided by the control means 18, and provides the control means 18 with the risk of replacement candidate words. Replacing means 22
Provides the user with a list of replacement candidate words (via the display device 4) provided by the control means 18, and the replacement word phrase selected by the user (via the input device 1) is input with the input means 19. And provide the result to the control means 18. The output unit 23 outputs the result given by the control unit 18 to the control unit 12.

The word count function unit 24 is controlled by the control unit 12, and the control unit 25 outputs the output unit 26,
The word use frequency calculation control means 27 is controlled. Output means 2
6 outputs the result given by the control means 25 to the control unit 12. The phrase frequency calculation control means 27 determines the usage frequency of each phrase in the sentence given by the control means 25 by using the phrase determination means 28, the phrase usage frequency calculation means 30, the word cutout means 31, and the word usage frequency calculation means 32. calculate. The compound word determination means 28 instructs the adjacent two word cutout means 29 to cut out, searches the synonym dictionary database 21 by the dictionary search means 20 using the combination of the cut out words, and provides the result to the phrase usage frequency calculation control means 27. To do. Idiom usage frequency calculation means 3
0 calculates the usage frequency of the idiom given to the phrase usage frequency calculation control means 27. The word cutout unit 31 cuts out a word from the sentence given to the phrase use frequency calculation control unit 27. The word use frequency calculation means 32 adds the word use frequencies given to the phrase use frequency calculation control means 27.

The details of the word count function unit 24 will be described below with reference to the flow chart of the processing shown in FIG.

When the word count function unit 24 is activated, the word use frequency calculation control means 2 as in step 41.
The memory used in 7 is initialized, and the pointer of the word to be processed in the sentence is set at the beginning of the sentence. Then s
In step 42, the word cutout unit 31 cuts out the word designated by the pointer from the given sentence. Further, the process proceeds to step 43 to confirm the existence of the word immediately after the word. If it is not confirmed, the existence of the idiom containing the word is denied. Therefore, the process proceeds to step 52, the word use frequency calculating means 32 adds the use frequency of the word, and the process goes to step 49.

If the presence is confirmed in step 43, s
In step 44, a means 29 for cutting out a combination of the word and two adjacent words designated as a word immediately after the word is executed, and the dictionary search means 20 searches the synonym dictionary database 21 in step 45 using the combination as a heading phrase.

When it is not confirmed that the combination exists as a result of the search, the combination is considered not to be an idiom, and the process proceeds from step 46 to step 52. When the existence of the combination is confirmed, the combination is regarded as an idiom, and the process proceeds from step 46 to step 47, where the idiom usage frequency calculation means 30 adds the usage frequency of the idiom.

Further, the process proceeds to step 48, and the pointer of the word to be processed in the sentence is advanced by one. This is a process for avoiding a situation in which the word immediately after is already counted as a part of the structure of the idiom, but is repeatedly counted as a word.
At step 49, the pointer of the word to be processed in the sentence is advanced by one. In step 50, the sentence end determination is performed, and if the end is not determined, the process returns to step 42.

If the end is determined, the process proceeds to step 51, the output means 26 outputs the result to the control section 12,
The operation of the word count function unit 24 is ended. step
The processes from 41 to step 51 are collectively referred to as the execution of the phrase usage frequency calculation control means 27.

The above processing will be described with reference to the operation examples shown in FIGS. 4, 5, 6 and 7.

FIG. 4 shows an example of a sentence input by the user.
FIG. 5 shows the contents of the synonym dictionary database 21 adopted in this operation example. FIG. 6 shows the usage frequency of each word calculated by the conventional word count function.

When the improved word count function unit 24 is activated, the memory is initialized as in step 41, and the pointer of the word to be processed in the sentence is set at the beginning of the sentence. In this operation example, "Mr." is set. Next, in step 42, the word cutting means 31 cuts out the word designated by the pointer from the given sentence. Here, "Mr." is cut out.

Further, in step 43, the existence of the word immediately after the word is confirmed. If it is not confirmed, the existence of a phrase containing the word is denied, so step 52
However, since "Brown" is confirmed here, s
Proceeding to step 44, the means 29 for cutting out two adjacent words of "Mr." and "Brown" is executed, and the dictionary search means 20 of step 45 uses the combination "Mr. Brown" composed of the two words as a heading phrase by the synonym dictionary. Search the database 21.

When the presence of the combination is confirmed as a result of the search, the process proceeds from step 46 to step 47. Here, "Mr. Brown" is the synonym dictionary database 2
Since it does not exist in 1, it is regarded as not a idiom, and step
Proceed from 46 to step 52. Here, the word use frequency calculating means 32 adds up the use frequencies of "Mr." to obtain "Mr."
r. The usage frequency of "is 1. Then, the process proceeds to step 49, where the pointer of the word to be processed in the sentence is advanced by 1 and" Brown "is set. At step 50, the end of the sentence is determined, but the end is determined. Not, step
Return to 42.

Thereafter, similar processing is continued until the pointer is set to "made" on the sixth line in FIG.

When the pointer is set to the "made" and the process returns to step 42, the synonym dictionary database 21 is searched by the steps 43, 44 and 45 using the combination "made over" as a headword. Here, since “made over” exists in the synonym dictionary database 21, “made over”
It is considered that "r" is a idiom. Therefore, the process proceeds from step 46 to step 47, and the idiom usage frequency calculating means 30 adds the usage frequencies of "made over".
The usage frequency of “ade over” is 1.

Further, the process proceeds to step 48, and the pointer of the word to be processed in the sentence is advanced by one. This is a process for avoiding a situation in which the immediately subsequent "over" has already been counted as a part of the configuration of "made over", but is repeatedly counted as a word. . Further, the process advances to step 49 to advance the pointer of the word to be processed in the sentence by one.

Thereafter, the above-described processing is repeated until the pointer is set to "say" on the 10th line in FIG.

When the pointer is set to the "say" in step 49, the process proceeds to steps 50, 42 and 43. However, since there is no word after "say", step
In step 52, the word use frequency calculation means 32 causes “sa
The usage frequency of "y" is added, and the usage frequency of "say" becomes 1. Further, the process proceeds to step 49, and the pointer of the word to be processed in the sentence is advanced by one.

Since there is no word after "say", s
The end is determined by the end determination of the sentence of step 50, the result is output to the control unit 12 by the output unit 26, and the operation of the improved word count function unit 24 is ended.

FIG. 7 shows the usage frequency of each word / phrase calculated as described above. The underlines in FIGS. 6 and 7 indicate the difference between the results.

As described above, in the apparatus of this embodiment, when the user uses the word count function to use the synonym dictionary function, it becomes possible to provide a more effective word count result, and it is possible to provide a smoother word count result. It realizes various document processing work.

(Embodiment 2) FIG. 8 is a block diagram showing the configuration of a second embodiment when the present invention is applied to an electronic typewriter.

Reference numeral 101 is an input device such as a keyboard and mouse, and 102 is a control device for comprehensively controlling the entire device. Reference numeral 103 is an external storage device such as a magnetic disk, a memory card, or a ROM for storing various information, and 104 is a C
A display device such as an RT, a liquid crystal display, and a plasma display, and a printing device 105 such as a thermal printer, a laser beam printer, and an inkjet printer.

The display device 104 displays a display image such as a document, an image, or a formatting screen including a plurality of items under the control of the control device 102. The printing device 105 prints out the created document, image, etc. on paper according to the set format. The external storage device 103 stores the input / edited document / image, etc. in the storage medium, and reads the document, image, etc. stored in this way from the storage medium. The input device 101 inputs input information necessary for creating a document or the like to the control device 102.

FIG. 9 is a block diagram showing the configuration of the control device 102.

The input unit 111 is controlled by the control unit 112, reads the data input by the input device 101, and stores it in the temporary storage unit 116 as necessary. The display unit 114 is controlled by the control unit 112, and the temporary storage unit 1
The necessary data is read from 16 and displayed on the display device 104. The printing unit 115 is controlled by the control unit 112, reads out necessary data from the temporary storage unit 116, and outputs the data to the printing apparatus 105. The external storage unit 113 is the control unit 1
12 and the temporary storage unit 116 as needed.
Exchange data with. Synonym dictionary function unit 11
7 is controlled by the control unit 112, and the control unit 118 controls the input unit 119, the dictionary search unit 120, and the replacement unit 1.
22 and control the output means 123.

The input means 119 provides the control means 118 with headwords for searching the synonym dictionary database 121. The dictionary search means 120 searches the synonym dictionary database 121 using the index word provided by the control means 118, and the control means 11 obtains a list of replacement candidate words.
Provide to 8. The replacement means 122 provides the user with the list of replacement candidate words given by the control means 118,
The replacement phrase selected by the user is replaced with the phrase input by the input unit 119, and the result is provided to the control unit 118.
The output unit 123 outputs the result given by the control unit 118 to the control unit 112.

The word count function unit 124 is the control unit 11.
The control unit 125 controls the word designating unit 126, the phrase use frequency calculation control unit 127, and the output unit 134. The word designating means 126 is means for designating a word existing in the synonym dictionary database in advance. The present embodiment focuses on the feature of the synonym dictionary database that the words that make up a phrase existing in the synonym dictionary database tend to be biased to a specific word. Therefore, the specific word is assumed as the word specified by the word specifying means 126.

The phrase use frequency calculation control means 127 calculates the use frequency of each phrase in the sentence given by the control means 125 by using the phrase determination means 128, the phrase use frequency calculation means 132, the word cutout means 131, and the word use frequency calculation. It is calculated by the means 133.

The idiom judging means 128 detects whether or not the word designated by the word designating means 126 exists in the sentence by the designated word detecting means 129, and combines a plurality of words containing the word into a word combination. The dictionary search means 12 is combined by the means 130 and the obtained combination is used.
The synonym dictionary database 121 is searched for 0 and the result is provided to the phrase usage frequency calculation control means 127. In the apparatus of this embodiment, the word combination unit 130 targets the sentence in which the word exists and the word cutout unit 131.
Then, an arbitrary word other than the word is cut out, and the result obtained by combining the two words thus obtained in the sentence according to the order of application is provided to the phrase determination means 128.

The idiom usage frequency calculation means 132 adds the usage frequencies of the idioms given to the phrase usage frequency calculation control means 127. Further, if there is an arbitrary word contained in the phrase, the usage frequency of which has already been added by the word usage frequency calculation means 133, the usage frequency of the word is subtracted.

The word cutout unit 131 cuts out a word from the sentence given to the phrase use frequency calculation control unit 127. The word usage frequency calculation means 133 adds the word usage frequencies given to the word usage frequency calculation means 127. The output unit 134 outputs the result given by the control unit 125 to the control unit 112.

Details of the word count function unit 124 will be described below with reference to the flow chart of the processing shown in FIG.

When the word count function unit 124 is activated, it designates a word existing in the synonym dictionary database by using the word designating means 126 like step 141. In this embodiment, the words that make up the phrase existing in the synonym dictionary database are likely to be biased to a specific word,
We focus on the features of the synonym dictionary database.
Therefore, as the word designated in step 141, the specific word is assumed.

Next, in step 142, the memory used in the phrase use frequency calculation control means 127 is initialized,
Set the pointer of the word to be processed in the sentence at the beginning of the sentence. Next, in step 143, the word cutout unit 131 cuts out the word designated by the pointer from the given sentence.

Further, in step 144, the designated word detecting means 129 detects whether or not the cut-out word is the word designated by the word designating means 126. If it is not a designated word, step 145 to step 1
In step 51, the word use frequency calculation means 151 adds up the use frequencies of the cut out words, and the process goes to step 152. If it is a specified word, step 145 to s
Proceeding to step 146, a plurality of words containing the word are combined by the word combination means 130. If all combinations of patterns are exhausted, no combination is performed and steps 147 to 1 are executed.
Proceed to 51.

If the combination is made, step14
7 to step 148, the synonym dictionary database 121 by the dictionary search means 120 using the combination.
To search. If it is not confirmed as a result of the search, the process returns from step 149 to step 146, and the word combination means 130 creates a combination pattern that has not been tried.

The processing from step 144 to step 149 is generically referred to as the execution of the phrase determination means 128.

When the existence of the result of the search is confirmed, st
From ep149 to step 150, the combination is regarded as an idiom, and the idiom usage frequency calculation means 132 adds the usage frequency of the idiom. Further, if there is an arbitrary word contained in the phrase, the usage frequency of which has already been added by the word usage frequency calculation means 133, the usage frequency of the word is subtracted.

In step 152, the pointer of the word to be processed in the sentence is advanced by one. step
In 153, the end of the sentence is determined, and if the end is not determined, the process returns to step 143. If the end is determined, the process proceeds to step 154, the output unit 134 outputs the result to the control unit 112, and the improved word count function unit 124 is ended.

Regarding the above processing, FIG. 11, FIG. 12 and FIG.
3, an operation example shown in FIG. 14 will be described.

FIG. 11 shows an example of a sentence input by the user, and FIG. 12 shows the contents of the synonym dictionary database 121 adopted in this operation example. FIG. 13 shows the usage frequency of each word calculated by the conventional word count function.

When the word count function unit 124 is activated, it designates a word existing in the synonym dictionary database using the word designating means 126 as in step 141. This is to pay attention to the characteristic of the synonym dictionary database that the words forming the phrase existing in the synonym dictionary database are likely to be biased to a specific word, and in this example, it is underlined in FIG. acros
It is assumed that s ”,“ out ”, and“ over ”are designated.

Next, in step 142, the memory used by the phrase usage frequency calculation control means 127 is initialized,
Set the pointer of the word to be processed in the sentence at the beginning of the sentence. In this operation example, "Mr." is set. Next, in step 143, the word cutout unit 131 cuts out the word "Mr." designated by the pointer from the given sentence.

Further, in step 144, the designated word detecting means 129 detects whether or not the cut-out word is the word designated by the word designating means 126. Since it is not a designated word, step 145 to step 15
1, the word use frequency calculation means 151 causes "M
r. "Mr. Is used 1
Becomes In step 152, the pointer of the word to be processed in the sentence is advanced by 1 and "Brown" is set. In step 153, the end of the sentence is determined, but the end is not determined, and the process returns to step 143.

Thereafter, the same processing is continued until the pointer is set to "over" on the 7th line in FIG.

When the pointer is set in the "over" and the process returns to step 143, steps 144, 145, 1
Proceed to 46. In step 146, the word combination means 13
The sentence "I want" in which the "over" exists due to 0
to have this coat coat made
over. Targeting “”, word segmentation means 131
Then, an arbitrary word other than the “over” is cut out, and the result obtained by combining the two words thus obtained in the order in which they appear in the sentence is provided to the phrase determination unit 128. Therefore, first, a combination of "I over" is created, and s
Although the process proceeds to steps 147 and 148, since "I over" does not exist in the synonym dictionary database, step 14
Return to step 146 from 9. Hereinafter, the "word over" and "to ov" are performed by the word combination means 130.
er ”is sequentially created, but does not exist in the thesaurus dictionary database. Finally, when“ made over ”is created, it exists in the thesaurus dictionary database, so step 1
From 49 to step 150, the idiom usage frequency calculation means 132 adds the usage frequencies of “made over”, and the usage frequency of “made over” becomes 1.
If there is a "made" or "over" contained in the "made over" and the usage frequency has already been added by the word usage frequency calculation unit 133, the usage frequency is subtracted, but the subtraction is not performed here, and the process proceeds to step 152. move on.

Hereinafter, "across" on the ninth line in FIG.
The processing described above is repeated until the pointer is set to.

When the pointer is set to the "across" and the process proceeds to step 152 and the pointer of the word to be processed in the sentence is advanced by one, the end of the sentence is determined in step 153, the process proceeds to step 154, and the output means 134
The result is output to the control unit 112, and the operation of the improved word count function unit 124 ends.

FIG. 14 shows the usage frequency of each word / phrase calculated as described above. The underlines in FIGS. 13 and 14 indicate the difference between the results.

According to the apparatus of the present embodiment, it is possible to extract a idiom composed of non-adjacent words such as "get cross" which could not be extracted by the apparatus of the first embodiment.

As described above, in the apparatus of this embodiment, when the user uses the word count function to use the synonym dictionary function, it becomes possible to provide a more effective word count result, and thus a smoother operation is possible. It realizes document processing work.

(Embodiment 3) FIG. 15 is a block diagram showing the configuration of a third embodiment when the present invention is applied to an electronic typewriter.

Reference numeral 201 is an input device such as a keyboard and mouse, and 202 is a control device for comprehensively controlling the entire device. Reference numeral 203 is an external storage device such as a magnetic disk, a memory card, or a ROM for storing various information, and 204 is a C
A display device such as an RT, a liquid crystal display or a plasma display, and a printing device 205 such as a thermal printer, a laser beam printer or an inkjet printer.

The display device 204 displays a display image such as a document, an image, or a formatting screen including a plurality of items under the control of the control device 202. The printing device 205 prints out the created document, image, etc. on paper according to the set format. The external storage device 203 stores the input / edited document / image, etc. in the storage medium, and reads the document, image, etc. thus stored from the storage medium. The input device 201 inputs input information necessary for document creation and the like to the control device 202.

FIG. 16 is a block diagram showing the configuration of the control device 2.

The input unit 211 is controlled by the control unit 212, reads the data input by the input device 201, and stores it in the temporary storage unit 216 as necessary. The display unit 214 is controlled by the control unit 212, and the temporary storage unit 2
The necessary data is read from 16 and displayed on the display device 204. The printing unit 215 is controlled by the control unit 212, reads out necessary data from the temporary storage unit 216, and outputs the data to the printing apparatus 205. The external storage unit 213 is the control unit 2
12 and a temporary storage unit 216 as needed.
Exchange data with.

The synonym dictionary function unit 217 is controlled by the control unit 212, and the search means 220 searches the synonym dictionary database 221 using the given headword. Further, the determination unit 219 confirms the presence / absence of synonym candidate phrases, and the output unit 218 outputs the result to the control unit 212.

The word count function unit 222 is the control unit 21.
Controlled by 2, the frequency of use of each word constituting the given text is calculated by the word count means 225, the exclusion means 224 excludes words and phrases that do not exist in the synonym dictionary, and the control means using the output means 223. 21
Output the result to 2. Here, the excluding unit 224 determines by the determining unit 219 whether or not the target phrase should be excluded. In addition, the exclusion means 224 is executing the word count means 225 and activates the determination means 219 for the phrase in the sentence at any time to perform the exclusion work, and the word count means 225 makes a determination on the list created after completion. There are two possible methods of activating the means 219 to perform the exclusion work. In the present embodiment, the latter is adopted in order to improve the processing speed.

Details of the word count function unit 222 will be described below with reference to the flow chart of the processing shown in FIG.

When the word count function section 222 is activated, the word count means 225 indicates the usage frequency of each word constituting the given text as in step 231.
To calculate the usage frequency of each word in the sentence.

Next, the process proceeds to step 232, and the pointer of the word / phrase in the usage frequency list is incremented by one. Here step
It is determined by 233 whether or not the usage frequency list is finished, and if it is finished, the process proceeds to step 234 and the output means 2
23 is used to output the result, and the word count function unit 22
The operation of 2 ends.

If the usage frequency list is not finished yet, the process proceeds to step 235, and it is determined whether or not the term is present in the synonym dictionary database by using the determination means 219, and if it is, step 232. Return to.
If it does not exist, the process proceeds to step 236, the term is excluded from the usage frequency list, and the process returns to step 232. ste
The processes of p235 and 236 are collectively referred to as the execution of the excluding means 224.

Regarding the above processing, FIG. 18, FIG. 19 and FIG.
0, an example of FIG. 21 will be described.

FIG. 18 shows a sentence input by the user.

When the word count function unit 222 is activated, first, at step 331, a usage frequency list of each phrase in the sentence as shown in FIG. 19 is created.

In step 232, the processing is performed on the word “a”. Since the usage frequency list has not been completed yet, the process moves from step 233 to step 235.

FIG. 20 shows the contents of the synonym dictionary database in this embodiment. If it is determined in step 235 whether "a" is in the synonym dictionary, the result is NO, and
At 236, “a” is excluded from the usage frequency list. The process returns to step 232, and the same process is performed for each word in the usage frequency list. When the usage frequency list is completed, the result as shown in FIG. 21 is output at step 234 and the process is completed.

As described above, in the apparatus of this embodiment, all the words and phrases listed by the word count function can be input to the synonym dictionary function, and a smoother operation can be realized.

(Embodiment 4) FIG. 22 is a block diagram showing the configuration of a fourth embodiment when the present invention is applied to an electronic typewriter.

Reference numeral 301 is an input device such as a keyboard / mouse, and 302 is a control device for comprehensively controlling the entire device. Reference numeral 303 is an external storage device such as a magnetic disk, a memory card, or a ROM that stores various information, and 304 is a C
A display device such as an RT, a liquid crystal display, and a plasma display, and a printing device 305 such as a thermal printer, a laser beam printer, and an inkjet printer.

The display device 304 displays a display image such as a document, an image, or a formatting screen including a plurality of items under the control of the control device 302. The printing device 305 prints out the created document, image, etc. on paper according to the set format. The external storage device 303 saves the input / edited document / image, etc. in the storage medium, and reads the document, image, etc. saved in this way from the storage medium. The input device 301 inputs input information necessary for creating a document or the like to the control device 302.

FIG. 23 is a block diagram showing the configuration of the control device 302.

The input unit 311 is controlled by the control unit 312, reads the data input by the input device 301, and stores it in the temporary storage unit 316 as necessary. The display unit 314 is controlled by the control unit 312, and the temporary storage unit 3
The necessary data is read from 16 and displayed on the display device 304. The printing unit 315 is controlled by the control unit 312, reads out necessary data from the temporary storage unit 316, and outputs it to the printing device 305. The external storage unit 313 is the control unit 3
12 and the temporary storage unit 316 as necessary.
Exchange data with.

The synonym dictionary function unit 317 is controlled by the control unit 312, and the synonym dictionary database 321 is searched by the search means 320 using the given headword. Further, the determination unit 319 confirms the presence / absence of synonym candidate phrases, and the output unit 318 is used to output the result to the control unit 312.

The word count function unit 322 is the control unit 31.
Controlled by two. The memory remaining amount detecting unit 325 is a unit for detecting the remaining amount of the memory provided for the improved word count function unit 322. Here, the word count function unit 322 calculates the use frequency of each word forming the given text by the word count unit 326 while checking the unused memory by the remaining memory amount detection unit 325 as needed. When the memory remaining amount detecting unit 325 detects that the memory is full, the word counting unit 326 is stopped, and the excluding unit 324 reexecutes the word counting unit 326 while excluding words that do not exist in the synonym dictionary. Finally, the output means 323 is used to output the result to the control unit 312. Exclusion means 32 here
In step 4, the determination means 319 determines whether or not the target phrase should be excluded. In addition, the exclusion unit 324 executes the word counting unit 326 and activates the determination unit 319 for the phrase in the sentence at any time to perform the exclusion work, and the word counting unit 326 makes a determination for the list created after completion. There are two possible methods of activating the means 319 to perform the exclusion work, but in the present embodiment, the former is adopted in order to save memory. The word count function unit 322 will be described below with reference to the flow chart of the processing shown in FIG.
Will be described in detail.

When the word count function unit 322 is activated, the remaining memory amount detecting means 325 detects the remaining amount of the emory provided for the improved word count function unit 322 in step 331. When an unused memory is detected, the process proceeds from step 332 to step 333, and the pointer of the word to be processed in the sentence given by the user is incremented by one. In step 334, the word count means 326 is used to store the use frequency information of the word or phrase indicated by the pointer in the memory. If the end of the sentence is determined in step 335, the process proceeds to step 336, the result is output using the output means 323, and the operation of the word count function unit 322 is ended. If the end of the sentence is not determined in step 335, the process returns to step 331.

When the memory full is detected in step 331, the process proceeds from step 332 to step 337 to initialize the memory and return the pointer to the beginning of the sentence. s
In step 337, the pointer is advanced by 1 and step 339
Then, the word count means 326 is used to store the use frequency information of the word or phrase indicated by the pointer in the memory. step
At 340, it is determined whether or not the phrase is present in the synonym dictionary database using the determination means 319, and if it is present, the process proceeds to step 342. S if not present
The process proceeds to step 341, and the usage frequency information of the word is excluded from the memory, and the process proceeds to step 342. step340, 3
The processing of 41 is collectively referred to as the execution of the excluding means 324.

If it is determined in step 342 that the sentence is finished, the process proceeds to step 336. If the end is not determined, the process returns to step 338.

The above processing will be described with reference to FIGS.

FIG. 25 shows a memory provided for the word count function unit 322 in this embodiment, and has a capacity capable of storing information for 10 words / phrases. FIG. 26
Is an example of a sentence input by the user, and shows the case where the sentence is sufficiently small with respect to the processing capacity of the memory.

When the word count function unit 322 is activated here, the remaining memory amount is first detected by step 331. When an unused memory is detected, the process proceeds from step 332 to step 333, and the pointer of the word to be processed in the sentence provided by the user is advanced by one. That is, the phrase “that” is the target of processing. step3
At 34, the word count means 326 is used to "that".
The usage frequency information “1” is stored in the memory. ste
The process proceeds to p35 and the end of the sentence is not determined, so step
Return to 331. These processes are repeated until the phrase "animal" is reached, and finally the process proceeds to step 336 and the output means 32
3 is used to output the result, and the word count function unit 322
Ends the operation. FIG. 27 shows the word count function unit 32.
2 shows the contents of the memory at the end.

FIG. 28 is an example of a sentence input by the user, and shows a case where the sentence is excessive in processing capacity of the memory.

When the word count function unit 322 is activated, the remaining memory amount is first detected by step 331. When an unused memory is detected, the process proceeds from step 332 to step 333, and the pointer of the word to be processed in the sentence given by the user is advanced by one. That is, the phrase “that” is the target of processing. step3
At 34, the word count means 326 is used to "that".
The usage frequency information “1” is stored in the memory. ste
The process proceeds to p335 and the end of the sentence is not determined, so ste
Return to p331. These processes are repeated until the phrase "said". FIG. 29 shows underlined words processed up to this point, and the contents of the memory at this time are shown in FIG.
It looks like.

Here, returning to step 331, the memory full is detected. Therefore, step332 to step3
In step 37, the memory is initialized and the pointer is returned to the beginning of the sentence. At step 338, the pointer is incremented by one. That is, the phrase “that” is the target of processing. s
In step 339, the word count means 326 is used to perform "t
The usage frequency information "1" of "hat" is stored in the memory. Fig. 31 shows the contents of the synonym dictionary database in the present embodiment. In step 340, "that" exists in the synonym dictionary database using the determination means 319. If it is determined whether or not it is determined that it does not exist, s
The process proceeds to step 341, and the use frequency information of “that” is excluded from the memory, and the process proceeds to step 342. Hereinafter, these processes are repeated until the end of the sentence is determined. "A
When a word or phrase existing in the synonym dictionary database such as “nimal” is to be processed, step 341 is canceled and the usage frequency information of the word or phrase remains in the memory. Finally, step 342 to step 336.
Then, the output means 323 is used to output the result, and the improved word count function unit 322 is terminated. FIG. 32 shows the contents of the memory at the end of the improved word count function unit 322.

As described above, in the apparatus of this embodiment, the word count method is automatically changed according to the size of the input sentence, so that the use with the largest amount of information that can be obtained under each condition is used. It becomes possible to provide the frequency information, which saves memory and realizes smooth operation.

[0101]

As described above, according to the present invention, a more appropriate word count result can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a first embodiment when the present invention is applied to an electronic typewriter.

FIG. 2 is a block diagram showing a configuration of a control device.

FIG. 3 is a flowchart showing a process of a word count function unit of the present invention.

FIG. 4 is a diagram showing an example of a sentence input by a user.

FIG. 5 is a diagram showing an example of contents of a synonym dictionary database.

FIG. 6 is a diagram showing a usage frequency of each word calculated by a conventional word count function.

FIG. 7 is a diagram showing the usage frequency of each word / phrase calculated by the word count function of the present invention.

FIG. 8 is a block diagram showing a configuration of a second embodiment when the present invention is applied to an electronic typewriter.

FIG. 9 is a block diagram showing a configuration of a control device.

FIG. 10 is a flowchart showing the processing of the word count function unit of the present invention.

FIG. 11 is a diagram showing an example of a sentence input by a user.

FIG. 12 is a diagram showing an example of contents of a synonym dictionary database.

FIG. 13 is a diagram showing the usage frequency of each word calculated by a conventional word count function.

FIG. 14 is a diagram showing the usage frequency of each word / phrase calculated by the word count function of the present invention.

FIG. 15 is a block diagram showing a configuration of a third exemplary embodiment when the present invention is applied to an electronic typewriter.

FIG. 16 is a block diagram showing a configuration of a control device.

FIG. 17 is a flowchart showing processing of a synonym dictionary function unit.

FIG. 18 is a diagram showing an example of a sentence created by a user.

FIG. 19 is a diagram showing a usage frequency list of words created by a conventional simple word count function.

FIG. 20 is a diagram showing contents of a synonym dictionary database in the apparatus of the embodiment.

FIG. 21 is a diagram showing a list provided by a word count function in the apparatus of the embodiment.

FIG. 22 is a block diagram showing the configuration of a fourth exemplary embodiment when the present invention is applied to an electronic typewriter.

FIG. 23 is a block diagram showing a configuration of a control device.

FIG. 24 is a flowchart showing processing of a synonym dictionary function unit.

FIG. 25 is a diagram showing the contents of a memory provided for the word count function in the apparatus of the embodiment.

FIG. 26 is a diagram showing an example of a sentence created by a user.

FIG. 27 is a diagram showing the contents of a memory provided for the word count function in the device of the embodiment.

FIG. 28 is a diagram showing an example of a sentence created by a user.

FIG. 29 is a diagram in which a word or phrase that has been processed in a sentence created by a user is underlined.

FIG. 30 is a diagram showing the contents of a memory provided for the word count function in the device of the embodiment.

FIG. 31 is a diagram showing contents of a synonym dictionary database in the apparatus of the embodiment.

FIG. 32 is a diagram showing the contents of a memory provided for the word count function in the device of the embodiment.

[Explanation of symbols]

 1 Input Device 2 Control Device 3 External Storage Device 4 Display Device 5 Printing Device 101 Input Device 102 Control Device 103 External Storage Device 104 Display Device 105 Printing Device

Claims (5)

[Claims] 1. A synonym dictionary, a candidate word search means for finding a candidate word corresponding to each word in a document by searching the synonym dictionary, and determining whether or not a candidate word is obtained by the candidate word search means. Determining means, word counting means for calculating the frequency of use of each word in the document, and excluding means for excluding words found by the judging means that do not exist in the synonym dictionary from count targets of the word counting means. A document processing apparatus comprising: 2. The document processing apparatus according to claim 1, further comprising means for activating the excluding means only when the memory required by the word counting means becomes full. 3. A synonym dictionary and a determination unit that determines whether or not a combination composed of an arbitrary plurality of words in a sentence exists in the synonym dictionary as a phrase, and the determination unit determines that the phrase is a phrase. In a plurality of words forming a combination, the use frequency is not calculated, the use frequency of the idiom is calculated, and in words other than the plurality of words, the word count means for calculating each use frequency is provided. Document processing device. 4. The document processing apparatus according to claim 3, wherein the determination means determines whether or not a combination of two words adjacent to each other in a sentence exists as a compound word in the synonym dictionary. A document processing device characterized by: 5. The document processing apparatus according to claim 3, wherein the determination unit detects a word specified in advance in the sentence according to the characteristics of the synonym dictionary, and a word detected by the detection unit. And a means for determining whether or not an arbitrary combination including the word is present as a compound word in the synonym dictionary.