JPH1091624A - Method and device for character processing - Google Patents

Abstract

PROBLEM TO BE SOLVED: To preferentially obtain plural conversion candidates of high use frequency by executing a selected analytic program by a central arithmetic processor. SOLUTION: A character string inputted from an input device 1 such as a keyboard is stored in a storage device 3. On the basis of learning data such as variation data and word information in a dictionary, etc., the central arithmetic processor 2 executes a processing program and outputs the processing result to an output device 4 such as a CRT. In this processing program, two analytic programs which are different in the ordering of conversion candidates are prepared. The central arithmetic processor 2 performs KANA and KANJI mixed conversion through a converting process 1 when the converting process is actuated with a conversion start key 1. When it is actuated with a conversion start key 2, the KANA and KANJI mixed conversion is performed through a converting process 2.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a character processing method and apparatus for converting a kana character string into a kana-kanji character string.

[0002]

2. Description of the Related Art A character processing procedure of a conventional character processing apparatus will be described with reference to a flowchart of FIG. In the converted character input process of S1, a kana character string to be converted into a kana-kanji mixed character string is input by an input device such as a keyboard.
In the conversion start process in S2, an input of a conversion start key or the like is accepted, and analysis of the input character string is started.

In the conversion process in S3, a kana / kanji mixed character string is converted with reference to a dictionary or previous changed data. If there is change data such as learning data, the data is output as a conversion result (see FIG. 9).

[0004] S4 is a process for determining the conversion result.
Whether or not the conversion result obtained by the conversion process is the conversion result desired by the operator is determined based on the presence or absence of the operation of the enter key.

When the operator operates the candidate change instruction key, in the candidate change process in S5, it is determined in S4 that the conversion result is not the one desired by the operator, and all candidates having the same reading as the candidate specified by the operator are extracted. A candidate desired by the operator is selected and determined from among them (see FIG. 10).

In S6, the selected change data is stored as learning data in a storage device so that it can be referred to in subsequent conversion.

For example, when "Tokyo Tobuya" is inputted and conversion is started, analysis is performed with reference to dictionary data, changed data, and the like. As a result of the analysis, "Tokyo // branch" is acquired as the conversion result.

However, if the conversion result desired by the operator is "Tokyo Metropolitan Area", the operator executes an operation for candidate conversion processing, and all conversion candidates of "Tokyo Toshibuya" are displayed as shown in FIG. To get.

The operator selects and decides "Tokyo / Urban Area" as a desired candidate from all candidates as shown in FIG. At this time, in the next conversion process, the currently selected “Tokyo Metropolitan Area” is the result of the first candidate as shown in FIG.
The information is stored so that it can be output as shown in FIG.

In the above processing, when "Tokyo Toshibuya" is input next time, "Tokyo Metropolitan Area" is output as a conversion result.

Whether or not to execute the learning mode for storing the change data can be previously instructed by the user.

[0012]

In the prior art, as shown in the example, it is considered that a frequently used Kana-Kanji mixed character string can be quickly obtained by using learning data. However, even when a character that is rarely used happens to be used, it is stored as change data.
Therefore, at the time of the next kana-kanji conversion, the converted data is used to output the conversion result. In such a case, the conversion ratio and the operability often decreased.

As described above, the advantages of learning are great, but there are also disadvantages. In addition, if the learning mode is canceled, the benefits of the learning mode cannot be obtained.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a character processing apparatus and a character processing method capable of preferentially acquiring a plurality of frequently used conversion candidates.

[0015]

In order to achieve the above object, a first aspect of the present invention analyzes an input character string,
In a character processing method of converting a character string mixed with kana-kanji characters with reference to a dictionary, preparing an analysis program having a plurality of different contents, selecting the analysis program, and the central processing unit executing the selected analysis program. By analyzing the input character string, a character string containing kana-kanji characters is obtained by referring to the analysis result and the dictionary.

According to a second aspect of the present invention, in the first aspect of the present invention, when the acquired kanji-mixed character string has a plurality of conversion candidates, the selection result is stored as the next first priority candidate. It is characterized by.

According to a third aspect of the present invention, in the first aspect of the present invention, the plurality of analysis programs having different contents include an analysis program for giving priority to compound words over other words.

According to a fourth aspect of the present invention, there is provided a character processing apparatus which has a learning function, analyzes an input character string, and converts the input character string into a character string mixed with kana-kanji characters by referring to a dictionary. Storing means, selecting means for selecting the analysis program, analyzing means for analyzing the input character string by executing the selected analysis program, and referring to the analysis result and the dictionary. Character processing means for obtaining a character string mixed with kana-kanji characters.

According to a fifth aspect of the present invention, in the fourth aspect of the present invention, when the acquired character string mixed with kanji has a plurality of conversion candidates, the character processing means determines the selection result as the next first priority. It is characterized in that it is stored in the storage means as a candidate.

According to a sixth aspect of the present invention, in the fourth aspect of the present invention, the plurality of analysis programs having different contents include an analysis program for giving priority to compound words over other words.

[0021]

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

FIG. 1 shows the configuration of an information processing system incorporating the character processing device of the present invention. In FIG. 1, a character string input from an input device 1 such as a keyboard is hard. It is stored in a storage device 3 such as a disk, a floppy disk, or a memory. Further, the data is stored in learning data such as change data or in the dictionary mode storage device 3. The processing program (FIG. 2) is executed by the central processing unit 2 based on the word information such as the change data and the dictionary.
The processing result is output to an output device 4 such as a CRT. In this processing program, two analysis programs having different conversion candidate rankings are prepared.

FIG. 2 is a flowchart showing the flow of the processing program of the present invention. Based on this flowchart, the details of the processing of the embodiment of the present invention will be described.

In S1, a character string to be converted is input.

In S2, the conversion start key 1 or the conversion start key 2 is input, and the central processing unit 2 passes the input character string S4 or S5 to the conversion process.

In S3, the central processing unit 2 determines which conversion start key has activated the conversion process. If it has been activated by the conversion activation key 1, the central processing unit 2 performs the kana-kanji mixed conversion by the conversion processing 1 of S4. If it has been activated by the conversion activation key 2, the kana-kanji mixed conversion is performed by the conversion process 2 of S5.

In S6, the central processing unit 2 determines whether or not the conversion result desired by the operator has been obtained by detecting the operation of the enter key or the operation of the change instruction key.

In S7, if it is determined in S6 that the conversion result is not the desired conversion result, that is, if the change of the conversion result is instructed, all candidates that can be candidates are output by the candidate change process. In S8, a desired candidate is selected and determined from the output candidates. At the same time, the change data is stored.

For example, when the conversion process 1 is started with the conversion start key 1 for the input character string “Tokyo Toshibuya”, the conversion process 1 using the first analysis program is performed in the same manner as in the prior art using the dictionary for homonymous opposition words. Is a general conversion program that uses words in the order of description as conversion results. In that case, the analysis is performed with reference to the dictionary data and the change data, and “Tokyo // branch and” (see FIG. 3) is output as the conversion result. If “Tokyo and / or branch” is not the conversion result desired by the user, the candidate is changed by the candidate changing process of FIG. At this time, the central processing unit 2 outputs all candidates that can be candidates. The operator selects a desired candidate from the candidates, and determines and refers to FIG. This change result is reflected as change data (learning data) at the next conversion (see FIG. 7).

Similarly, when the conversion process 2 is started with the conversion start key 2 for the input character string "Tokyo Toshibuya", the second analysis program is used. It is assumed that the conversion process 2 is a conversion program different from the conversion process 1 which gives priority to compound words. In that case, the analysis is performed with reference to the dictionary data and the change data, and “Tokyo / Urban Area” is output as the conversion result (see FIG. 4).

Since this matches the desired conversion result, the process ends. Note that storing conversion data when a conversion candidate is changed is the same as in conversion processing 1.

As described above, by having a plurality of different analysis programs and providing a switch for switching the programs, it is possible to output a plurality of analysis results even with the same input.

The following examples can be implemented in addition to the present invention.

1) In this embodiment, as an example of an analysis program, when acquiring words mixed with kana-kanji characters, an analysis program (well-known) for giving priority to compound words as conversion candidates, and ranking of conversion candidates for homonyms in the order of description in the dictionary Although the analysis program (known) for performing the above has been described as an example, the user can prepare a plurality of desired known analysis programs. As another example, an analysis program that gives priority to words registered by the user, or an analysis program that gives priority to dictionaries in a specific field among dictionaries for a plurality of fields can be used.

2) In this embodiment, a dedicated key for selecting an analysis program is provided on the keyboard. However, a key input method called a shortcut key, which is a combination of a plurality of character keys, may be used. May be used to select an analysis program on the display screen.

[0036]

As described above, according to the first and fourth aspects of the present invention, by selectively using different analysis programs, the ranking of the conversion results including the kana-kanji character is different, and the frequently used words are changed. A plurality of candidates can be selected by switching the analysis program.

According to the second and fifth aspects of the present invention, since the learning function is added in the specification mode of each analysis program, words that are frequently used can be learned.

According to the third and sixth aspects of the present invention, the selection operation of the conversion candidate user is reduced by giving priority to the compound word having a high appearance frequency.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a system configuration according to an embodiment of the present invention.

FIG. 2 is a flowchart illustrating a processing procedure according to the embodiment of the present invention.

FIG. 3 is an explanatory diagram showing the character processing content of the embodiment of the present invention.

FIG. 4 is an explanatory diagram showing the character processing content according to the embodiment of the present invention.

FIG. 5 is an explanatory diagram showing the character processing content of the embodiment of the present invention.

FIG. 6 is an explanatory diagram showing the character processing content of the embodiment of the present invention.

FIG. 7 is an explanatory diagram showing the character processing content of the embodiment of the present invention.

FIG. 8 is a flowchart showing a conventional character processing procedure.

FIG. 9 is an explanatory diagram showing the contents of conventional character processing.

FIG. 10 is an explanatory diagram showing the contents of conventional character processing.

FIG. 11 is an explanatory diagram showing a conventional character processing content.

FIG. 12 is an explanatory diagram showing a conventional character processing content.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Input device 2 Central processing unit 3 Storage device 4 Output device

Claims (6)

[Claims] 1. A character processing method for analyzing an input character string and converting it into a character string mixed with kana-kanji characters with reference to a dictionary, comprising preparing an analysis program having a plurality of different contents, selecting the analysis program, and A character processing method for analyzing a character string of the input by executing a selected analysis program by a processing device, and obtaining a character string mixed with kana-kanji characters by referring to the analysis result and the dictionary. . 2. The character processing method according to claim 1, wherein when the obtained character string mixed with kanji has a plurality of conversion candidates, the selection result is stored as a next first priority candidate. Character processing method to be characterized. 3. The character processing method according to claim 1, wherein the plurality of analysis programs having different contents include an analysis program that gives priority to compound words over other words. 4. It has a learning function and analyzes an input character string,
In a character processing device for converting a character string mixed with kana-kanji characters with reference to a dictionary, a storage means for storing an analysis program having a plurality of different contents, a selection means for selecting the analysis program, and the selected analysis program By running
A character processing apparatus comprising: an analysis unit configured to analyze the input character string; and a character processing unit configured to obtain a character string mixed with kana-kanji characters by referring to the analysis result and the dictionary. 5. The character processing device according to claim 4, wherein when the obtained character string mixed with kanji has a plurality of conversion candidates, the character processing means determines the selection result as a next first priority candidate. A character processing device characterized by storing in the storage means. 6. The character processing apparatus according to claim 4, wherein the plurality of analysis programs having different contents include an analysis program that gives priority to compound words over other words.