JPH05135018A - Character processing method and device - Google Patents

Abstract

(57) [Summary] [Purpose] To improve the operability of saving learning data. [Structure] It has a mode to save learning data automatically after saving a document. [Effect] The learning data is reliably saved. It is not necessary to set whether to save the learning data each time the document is saved.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a character processing device for inputting a mixed kanji / kana sentence by kana / kanji conversion.

[0002]

2. Description of the Related Art At present, in a character processing device such as a Japanese word processor, it is general to input a mixed kanji-kana sentence using kana-kanji conversion. Kana-Kanji conversion is a mechanism in which the device automatically converts a reading string input by an operator into a kanji-kana mixed sentence. However, since there are many homophones in Japanese, and it is difficult to automatically identify those homophones with the current technology, the words selected by the operator are stored as learning data and the learning data is used when converting to Kana-Kanji. It generally supports a mechanism called learning, which refers to, and preferentially converts kana to kanji for learned words.

By the way, since this learning data is frequently updated, it is often stored in a volatile memory (RAM). In that case, if the power is turned off, the contents of the RAM will be lost and the learning data will be lost. Therefore, it is necessary for the operator to instruct the learning data to be stored in the secondary storage such as the FD at an appropriate timing before the power is turned off. However, there are many people who forget the instruction to save the learning data, so conventionally, the keystroke is monitored and the R
Save learning data on AM to non-volatile secondary storage such as FD, RAM back up to battery so that the contents of RAM will not be lost even when the power is turned off, operator every time a document is saved to FD etc. A method has been devised, such as letting the user specify the need to store learning data.

[0004]

However, such a conventional device has the following drawbacks.

According to the method of (1), the learning data is forcibly started to be stored at the moment when the number of keystrokes reaches a certain number during the input work, so that there is no fear of forgetting to save the learning data. However, regardless of the operator's intention, the saving of the learning data is started at an arbitrary timing, and once the saving is started, the key does not work until the end, so that the flow of thought is easily interrupted.

According to the method of (1), there is no concern that learning data will be lost even if the power is turned off, so that the load on the operator is reduced, but the extra power source for backing up the RAM is required, which increases the cost of the apparatus. There was a drawback.

In the method of (1), since the operator specifies whether or not to save learning when saving a document, there is no fear of accidentally forgetting to save the learning data, but there is a drawback in that the save specification is troublesome.

The present invention has been made in view of the above-mentioned drawbacks, and an object of the present invention is to prevent an operator from forgetting to save learning data and to interrupt the flow of thinking of the operator. In addition, the storage instruction is not bothersome to the operator, and a device that can be configured at low cost is provided.

[0009]

[Means for Solving the Problems]
To achieve the object, a character processing device according to the present invention includes an input means for inputting a reading string, a kana-kanji converting means for converting the input reading string into a kanji-kana mixed sentence, and a kana-kanji converting means. A next candidate selecting means for selecting another candidate when the converted result is not the operator's desired notation, and a document storing means for storing the conversion-determined kanji / kana mixed sentence.
A learning information storage unit that stores learning information about the candidate selected by the next candidate selection unit, a document storage unit that stores the content stored in the document storage unit in a non-volatile secondary storage, and a learning information storage unit. The stored contents are non-volatile
It is characterized by comprising a learning storage means for storing in the next storage and a learning storage mode at the time of document storage for designating whether or not to activate the learning storage means in association with the document storage means.

[0010]

According to this structure, the input means inputs a reading string, the kana-kanji conversion means converts the input reading string into a kanji-kana mixed sentence, and the next candidate selecting means is converted by the kana-kanji converting means. When the conversion result is not the notation desired by the operator, another candidate is selected, the document storage means stores the conversion-determined kanji kana mixed sentence, and the learning information storage means learns about the candidate selected by the next candidate selection means. Memorize information,
The document storage means stores the content stored in the document storage means in the non-volatile secondary storage, and the learning storage means stores the content stored in the learning information storage means in the non-volatile secondary storage. The learning storage mode during storage specifies whether to activate the learning storage means in conjunction with the document storage means.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

<First Embodiment> FIG. 1 is a block diagram showing a first embodiment of a character processing apparatus according to the present invention. In the figure, a CPU is a microprocessor that performs arithmetic operations for character processing, logical judgments, etc., and each component connected to these buses via an address bus AB, a control bus CB, and a data bus DB. To control.

The address bus AB is a microprocessor C
An address signal for instructing a component to be controlled by the PU is transferred. The control bus CB transfers and applies a control signal of each constituent element to be controlled by the microprocessor CPU. The data bus DB transfers data between the constituent devices.

DIC is a dictionary, which is referred to when performing Kana-Kanji conversion.

Next, the ROM is a read-only fixed memory, and stores the procedure of control by the microprocessor CPU described later with reference to FIGS.

The RAM is a writable random access memory having a structure of 1 word and 16 bits, and is used for temporary storage of various data from each constituent element. LDI
C is learning data, and is an area for storing which candidate is selected when the second or lower candidate is selected from the kana-kanji converted candidates. SFLG is a mode for switching whether to save learning data when saving a document. PF
LG is a mode for switching whether to save the learning data at the time of printing. LFLG is a flag that determines whether or not the learning data on the RAM has been updated (hence, whether or not it needs to be stored in DISK).

Reference numeral KB denotes a keyboard, which is a character / symbol input key such as an alphabet key, a hiragana key, or a katakana key, and a book such as a conversion key, a selection key, a mode setting key, a document save key, a print key, an execute key, or the like. Various function keys for instructing various functions to the character processing device are provided.

DISK is an external storage such as an FD for storing document data and learning data. The document created in the text buffer is stored in this DISK. The stored document is recalled when necessary by the instruction of the keyboard. Further, the learning data on the RAM is also stored in the DISK, and the stored learning data is called when necessary by the instruction of the keyboard.

CR is a cursor register. The CPU can read and write the contents of the cursor register. The CRT controller CRTC, which will be described later, displays a cursor at a position on the display device CRT corresponding to the address stored here.

DBUF is a display buffer memory for storing data to be displayed.

The CRTC plays a role of displaying the contents stored in the cursor register CR and the buffer DBUF on the display CRT.

The CRT is a display device using a cathode ray tube or the like, and the display pattern of the dot configuration and the display of the cursor on the display device CRT are controlled by the CRT controller.

Further, CG is a character generator, which stores a pattern of characters and symbols to be displayed on the display device CRT.

The PRT is a printing device and prints a document on a text buffer in response to an instruction from the keyboard.

The character processing apparatus of the present invention comprising the above-mentioned components operates in response to various inputs from the keyboard KB, and when an input from the keyboard KB is supplied, an interrupt signal is first sent. Sent to the microprocessor CPU, which microprocessor CP
U reads out various control signals stored in the ROM,
Various controls are performed according to these control signals.

FIG. 2 is a diagram showing an operation example of learning and saving when saving a document according to the first embodiment.

2-1 is an example of a screen showing a state in which a document is input. When the user presses the document save key in this state, a window for saving the document opens, and the document name can be input (2-2). When the execution key is pressed after inputting the document name, the document saving process is executed as in 2-3. After the document is saved, the learning data is automatically saved without any operator's operation (2-4).

FIG. 3 is a diagram showing an example of the learning operation according to the first embodiment.

3-1 is an example of a screen showing a state in which a reading for kana-kanji conversion has been input. Here, the underline indicates reading during input, and the inversion indicates a cursor.
When the conversion key is pressed here, the screen of 3-2 is displayed and the kana-kanji conversion is executed. If you press the conversion key further, 3-
The screen of No. 3 is displayed and candidates are displayed. Here, when the select key is pressed, the screen of 3-4 appears and the conversion candidates are confirmed. At this time, learning is performed, and in this case, information that the candidate “opportunity” has been selected is stored in the learning data LDIC. Then, when the reading "kikai" is input again, the learned candidates "opportunities" are converted into the first candidates as in 3-5 and 3-6.

FIG. 4 is a diagram showing an example of a mode setting screen according to the first embodiment.

The modes include a mode for learning and saving when saving a document and a mode for learning and saving when printing (corresponding to PFLG).
There is. The learning storage mode during document storage is a mode for designating whether or not learning data is automatically stored when a document is stored, and corresponds to the flag SFLG on the RAM. The learning save mode at the time of printing is a mode that specifies whether to save the learning data at the time of printing, and R
This corresponds to the flag PFLG on AM.

The designation of the mode is 1 in the item of the corresponding mode.
Alternatively, enter 0.

Next, the above operation will be described according to the flow.

FIG. 5 is a flow chart for explaining the operation of fetching a key input and processing according to the first embodiment.

In step 5-1, key data to be keyed from the keyboard is fetched. In step 5-2, the type of the fetched key is determined and the determination result is output. Depending on the determination result, the process branches to each key processing routine.

If it is the mode setting key, step 5
-3, and in step 5-3, mode setting processing is performed as described in detail in FIG.

When the reading key is "A" or "I", the process branches to Step 5-4 to internally store the reading input in the buffer.

If the key is a conversion key, the process branches to step 5-5, and the reading string stored in the buffer up to that point is converted into Kana-Kanji characters and displayed. If it has already been converted, it will be interpreted as the meaning of the next candidate and the next and subsequent candidates of the conversion candidate will be displayed.

If the key is the select key, the process branches to step 5-6 and the selecting process is performed as described in detail in FIG.

If the key is the document save key, the process branches to step 5-7 to perform the save process as described in detail in FIG.

If the key is the print key, the process branches to step 5-8, and the printing process is performed as described in detail in FIG.

If the key is any other key, the process branches to step 5-9 to perform other processes such as insertion, deletion, symbol input, etc. which are carried out in a normal character processing apparatus.

Upon completion of each process, the process branches to step 5-1.

FIG. 6 shows step 5-3 according to the first embodiment.
5 is a flowchart for explaining in detail the "mode setting process".

In step 6-1, the mode setting window shown in FIG. 4 is displayed.

At step 6-2, the key is waited until the key is pressed, and the key data is fetched.

In step 6-3, the fetched key data is interpreted and branched to each process.

If it is a numeric key, the process branches to step 6-4.
The screen display is rewritten according to the number input. After that, the process branches to step 6-2.

If it is the cursor key, the process branches to step 6-5 to perform the cursor moving process in the mode setting window. After that, the process branches to step 6-2.

When the execution key is selected, the process branches to step 6-6,
The value set on the screen is taken in and the value is reflected in the flags SFLG and PFLG on the RAM. Then, in step 6-7, the window is closed and the process returns.

If a key other than the above is received, the key input is ignored because it is an unrelated key, and the process branches to step 6-2.
Enter the key again.

FIG. 7 shows steps 5-6 according to the first embodiment.
5 is a flowchart illustrating in detail the "selection process" of FIG.

In step 7-1, the selected candidate is confirmed and output to a document, for example. At this time, if the candidate list is displayed, the candidate list display is deleted.

In step 7-2, it is judged whether or not the candidate selected is the first candidate. If the candidate is the first candidate, learning is not necessary and the process returns. If it is not the first candidate, the process branches to step 7-3 to perform the learning process. The learning result is stored in the LDIC on the RAM. Then, in step 7-4, the value of the flag LFLG that stores that the learning data has been updated is changed to 1. Then return.

FIG. 8 shows steps 5-7 according to the first embodiment.
5 is a flowchart for explaining in detail the "storing process" of FIG.

In step 8-1, the contents of the text buffer are stored in DISK.

At step 8-2, the value of SFLG is determined. If it is not 1, it is not necessary to save the learning data in conjunction with the document saving, and the process returns as it is. S
When the value of FLG is 1, the process proceeds to step 8-3.

At step 8-3, the value of LFLG is determined. When the value of LFLG is not 1, the learning data on the RAM has not been updated, so there is no need to save it, and the process returns directly. When the value of LFLG is 1, the learning data has been updated and needs to be saved, so step 8
Go to -4.

In step 8-4, the learning data on the RAM is stored in DISK.

In step 8-5, since the learning data has been saved, the value of LFLG is reset to 0 to bring the learning data into a state where it has not been updated. Then return.

FIG. 9 shows steps 5-8 according to the first embodiment.
5 is a flowchart illustrating in detail the “printing process” of FIG.

At step 9-1, the contents of the text buffer are printed on the PRT.

At step 9-2, the value of PFLG is determined. If it is not 1, there is no need to store the learning data in association with printing, and the process returns. PFL
When the value of G is 1, the process proceeds to step 9-3.

At step 9-3, the value of LFLG is determined. When the value of LFLG is not 1, the learning data on the RAM has not been updated, so there is no need to save it, and the process returns directly. When the value of LFLG is 1, the learning data has been updated and needs to be saved.
Go to -4.

At step 9-4, the learning data on the RAM is stored in DISK.

In step 9-5, the storage of the learning data is completed, so the value of LFLG is reset to 0 to bring the learning data into a state where it has not been updated. Then return.

As described above, according to the first embodiment, there is a mode for designating whether to automatically save the learning data when saving the document, so that the operator does not forget to save the learning data. Moreover, since there is no need to specify whether to save the learning data for each document, it is possible to realize a comfortable character processing device with high operability.

The present invention is applicable not only to a single device but also to a system composed of a plurality of devices.
It goes without saying that it can be realized by providing software to the device or system.

[0069]

As is apparent from the above description, according to the present invention, since the operator does not forget to save the learning data and there is no troublesome operation for saving the learning data, the operability is high. It is possible to realize a comfortable character processing device.

[Brief description of drawings]

FIG. 1 is a block diagram showing a first embodiment of a character processing device according to the present invention.

FIG. 2 is a diagram showing an operation example of learning and saving when saving a document according to the first embodiment.

FIG. 3 is a diagram showing an example of a learning operation according to the first embodiment.

FIG. 4 is a diagram showing an example of a screen for mode setting according to the first embodiment.

FIG. 5 is a flowchart illustrating an operation of capturing a key input according to the first embodiment.

FIG. 6 is a flowchart illustrating in detail a “mode setting process” of step 5-3 according to the first embodiment.

FIG. 7 is a flowchart illustrating in detail the “selection process” of steps 5-6 according to the first embodiment.

FIG. 8 is a flowchart illustrating in detail a “save process” of step 5-7 according to the first embodiment.

FIG. 9 is a flowchart illustrating in detail “print processing” in step 5-8 according to the first embodiment.

[Explanation of symbols]

 CPU Microprocessor DIC Kana-Kanji conversion dictionary ROM Read only memory RAM Random access memory DISK External storage PRT Printing device KB Keyboard CR Cursor register DBUF Display buffer memory CRTC CRT controller CRT display device CG Character generator LDIC learning data SFLG Document saving learning Save flag PFLG Learning save flag during printing LFLG Learning data update flag

Claims (4)

[Claims] 1. An input means for inputting a reading string, a kana-kanji converting means for converting the input reading string into a kanji-kana mixed sentence, and a conversion result converted by the kana-kanji converting means desired by an operator. Next candidate selecting means for selecting another candidate when it is not written, document storing means for storing the conversion-determined kanji kana mixed sentence, and learning information for storing learning information about the candidate selected by the next candidate selecting means A storage unit, a document storage unit that stores the content stored in the document storage unit in a non-volatile secondary storage, and a content storage unit that stores the content stored in the learning information storage unit in a non-volatile secondary storage. A character processing apparatus comprising: a learning storage unit and a document storage learning storage mode for designating whether or not to activate the learning storage unit in association with the document storage unit. 2. An input means for inputting a reading string, a kana-kanji converting means for converting the input reading string into a kanji-kana mixed sentence, and a conversion result converted by the kana-kanji converting means as desired by the operator. Next candidate selecting means for selecting another candidate when it is not written, document storing means for storing the conversion-determined kanji kana mixed sentence, and learning information for storing learning information about the candidate selected by the next candidate selecting means Storage means, document printing means for printing the content stored in the document storage means, learning storage means for storing the content stored in the learning information storage means in a non-volatile secondary storage, and the document printing A character processing device comprising: a learning learning storage mode for printing, which specifies whether or not to activate the learning storage means in association with the means. 3. When converting an input reading string into a kanji-kana mixed sentence, if another candidate is selected when the first conversion result is not the notation desired by the operator, learning information about the selected candidate is displayed. In a character processing device that can be temporarily stored,
A character processing method characterized in that the learning information is controlled to be stored in the secondary storage in association with the operation of storing the created document content in the non-volatile secondary storage. 4. When converting an input reading string into a mixed Kanji / Kana sentence and the first conversion result is not the notation desired by the operator, if another candidate is selected, learning information about the selected candidate is displayed. In a character processing device that can be temporarily stored,
A character processing method characterized by controlling the learning information to be stored in a non-volatile secondary memory in association with an operation of printing the created document content.