JPH0474262A - Word processor - Google Patents

Abstract

PURPOSE:To prevent the duplication of both KANA (Japanese syllabary) and KANJI (Chinese character) descriptions and to reduce the dictionary capacity by using a description dictionary including the KANJI descriptions and the KANA descriptions showing the Japanese reading of the KANJI and a notion dictionary containing the correspondence between both descriptions. CONSTITUTION:The KANA character strings and the KANJI-KANA sentences received from an input means 103 are stored in a storage means 104 and then converted into the KANJI-KANA sentences by a KANA/KANJI character conversion means 105 based on a description dictionary 101 and a notion dictionary 102. Then these converted sentences are analyzed by a KANJI-KANA sentence analyzing means 106 based on both dictionaries 101 and 102. Therefore the KANA/KANJI conversion and the KANJI-KANA sentence analysis can be attained by both dictionaries 101 and 102. Thus it is not required to register the same descriptions by means of a KANA/KANJI conversion dictionary and a KANJI-KANA sentence analysis dictionary. As a result, the dictionary capacity can be reduced.

Description

[Detailed Description of the Invention] (a) Industrial Application Field This invention provides a kana-kanji conversion function that converts a kana character string into a kanji-kana combination sentence, and a kanji-kana combination function that converts a kanji-kana combination sentence into a kana character string. The present invention relates to a document processing device, such as an automatic translator or a grammar proofing support system, which has a sentence analysis function.

(b) Conventional technology Conventionally, in this type of document processing device, two types of dictionaries are prepared: one for kana-kanji conversion and one for analysis of sentences containing kanji and kana, and when performing kana-kanji conversion processing, the dictionary for kana-kanji conversion is used. When carrying out analysis processing for sentences containing kanji and kana, such as document proofreading, dictionaries for analyzing sentences containing kanji and kana are referred to.

Figure 6 is an explanatory diagram showing an example of the stored contents of a conventional kana-kanji conversion dictionary.When converting kana-kanji, a dictionary like the one shown in this figure is used to convert, for example, the kana character string ``Azuau''. In the case of ``I'll see you tomorrow,'' it is converted into a sentence that includes kanji and kana.

Fig. 7 is an explanatory diagram showing an example of the memory contents of a conventional dictionary for analyzing sentences containing kanji and kana.When analyzing sentences containing kanji and kana, a dictionary like the one shown in this figure is used to For example, when a sentence containing kanji and kana characters such as ``Asu-mei'' is analyzed, it is broken down into two clauses such as ``Asu/Au'' and converted into Kana characters.

(C) Problems to be Solved by the Invention However, such document processing devices refer to two dictionaries, one for Kana-Kanji conversion and one for Kanji-Kana mixed sentence analysis. There will be two identical kana notations and two kanji notations, resulting in duplication of stored data.

This invention was made in consideration of these circumstances, and it is a notation dictionary that mixes kanji notation and its reading information, kana notation, and makes a correspondence between both kanji notation and kana notation. The present invention provides a document processing device that is equipped with a concept dictionary to prevent duplication of kana notation and kanji notation, thereby reducing dictionary capacity.

(d) Means to solve the problem FIG. 1 is a block diagram showing the configuration of the present invention.

As shown in this figure, according to the present invention, a large number of words expressed in the first and second notations are mixed, arranged in a predetermined order, and numbered, and the first and second notations are associated with each other. A notation dictionary +01 in which information is stored by attaching information to the first and second notations, respectively, and the first and second notations stored in the notation dictionary 101 are arranged in correspondence with each other by numbers assigned to the notation dictionary 101. A concept dictionary 102 that stores numbers for related information of the notation dictionary + 01 and group names for grouping words according to their superordinate concepts, and an input for inputting kana character strings and sentences containing kanji and kana. Means 1
03, a storage means 104 that stores input kana character strings and kanji-kana mixed sentences, and converts the kana character strings stored in the storage means +04 into kanji-kana mixed sentences based on the notation dictionary 101 and the concept dictionary +02. Surukana kanji conversion method 10
5, and a kanji-kana-mixed sentence analysis means 106 for converting the kanji-kana-mixed sentence stored in the storage means +04 into an analyzed and kana character string based on the notation dictionary +01 and the concept dictionary 102. .

In the present invention, as the notation dictionary +01 and the concept dictionary 102, an internal memory such as a ROM, or an external storage device such as a floppy disk device or a magnetic disk device is used.

Further, as the input means 103, a sequential input device such as a keyboard device or a tablet device, or a batch input device such as a paper tape device, a floppy disk device, or a magnetic tape device is used.

Further, as the kana-kanji conversion means 105 and the kanji-kana mixed sentence analysis means 106, the CPU, ROM, RAM, I
It is convenient to use a computer consisting of 10 boards, and the storage means 104 is usually a RAM therein.

(PO) Effect As shown in FIG. 1, according to this invention, the notation dictionary +0
1 contains a large number of words expressed in the first and second notations, arranged in a predetermined order, numbered, and related information that associates the first and second notations in the first and the second notation are respectively marked and stored. Further, in the concept dictionary 102, the first and second notations stored in the notation dictionary 101 are arranged in correspondence with the numbers assigned to the notation dictionary 101, and the first and second notations stored in the notation dictionary 101 are arranged in correspondence with each other by the numbers assigned to the notation dictionary 101. In addition to being numbered, the words are stored with a group name formed by grouping the words according to their superordinate concepts.

When a kana character string or a combination of kanji and kana is input from the input means 103, the input kana character string or a combination of kanji and kana is stored in the storage means 104.

Then, the kana character string stored in the storage means +04 is converted into a kanji-kana mixed sentence by the kana-kanji conversion means +05 based on the notation dictionary 101 and the concept dictionary 102, and the kana character string stored in the storage means 104 is converted into a kana-kana mixed sentence. The sentence is analyzed by the kanji-kana mixed sentence analysis means 106 based on the notation dictionary LOT and the concept dictionary +02, and is converted into a kana character string.

Therefore, the notation dictionary 101 and the concept dictionary 102 can perform both kana-kanji conversion and analysis of sentences containing kanji and kana, so the dictionary for kana-kanji conversion and the dictionary for analyzing sentences containing kanji and kana have the same notation. There is no need to register the dictionary, and the dictionary capacity can be reduced.

(f) Examples Hereinafter, the present invention will be described in detail based on examples shown in the drawings. Note that this invention is not limited by this.

FIG. 2 is a block diagram showing the configuration of an embodiment in which the present invention is applied to a grammar proofing support system.

In this figure, 1 is a keyboard equipped with ephemeral character keys, function keys, etc., 2 is a floppy disk device for inputting kanji-kana mixed sentences created in advance by another document creation device such as a Japanese word processor, An ephemeral character string is inputted from the keyboard 1, and a kanji-kana mixed sentence is inputted from the floppy disk device 2, respectively, to the control unit 3.

The control section 3 is constituted by a computer consisting of a CPU, ROM, RAM, and I10 board, and performs various data processing described below using a control program written in a program memory consisting of a ROM.

Reference numeral 4 denotes a display device such as a CRT display device, an LC (liquid crystal) display device, or an EL display device.

Reference numeral 5 denotes a text buffer consisting of a RAM that stores kana character strings input from the keyboard 1 and kanji-kana mixed sentences input from the floppy disk device 2.

6 is a notation dictionary consisting of a ROM, and as shown in Fig. 3, a large number of words expressed in kana and kanji are mixed and arranged in the order of the first letter or JIS code. These arrayed notations are given consecutive numbers and conceptual dictionary numbers that associate the kana notation with the kanji notation.

Reference numeral 7 denotes a concept dictionary consisting of a ROM, and as shown in FIG. Each placed notation bear has a notation dictionary 6.
A consecutive number referred to as a concept dictionary number is given, and a name obtained by grouping words according to their superordinate concepts is given as a concept group name. In this concept dictionary 7,
Although not shown, it also contains information such as parts of speech.

8 is an analysis device consisting of a microprocessor that breaks down sentences into phrases, converts the kana character strings stored in the sentence buffer 5 into kanji-kana interchange sentences based on the notation dictionary 6 and the concept dictionary 7; The kanji-kana mixed sentence stored in the sentence buffer 5 is also analyzed based on the notation dictionary 6 and the concept dictionary 7, and converted into a kana character string.

The concept group name attached to each pair of kana notation number and kanji notation number in the concept dictionary 7 shown in FIG. 4 is a grouping of superordinate concepts or common concepts in the meaning of each word. In other words, words can be classified according to broad concepts such as "human" or "animal," and "(human)"
By building a case relationship such as `` `` cry < J, r (animal) or cry'', you can improve the accuracy of kana-kanji conversion by using different words such as ``1 child cries'' and ``cat cry''. The analysis device 8 performs the semantic analysis process of the sentence by referring to this conceptual group name.

In the kana-kanji conversion process, for example, when a kana character string "Asuau" is input from the keyboard 1, the control unit 3 displays the kana character string "Asuau" on the display device 4. Subsequently, when the kana-kanji conversion key (not shown) on the keyboard I is pressed, the control unit 3 sends the kana character string "Asuau" to the analysis device 8 in the kana-kanji conversion mode. The analysis device 8 searches the notation dictionary 6 for the longest matching character string with the character string "Asuau". First, it matches "Asu", so by reading the concept dictionary number "1" of "Azu", we retrieve the "11th kanji notation number r7J" of the concept dictionary 4. Next, we take out the 11th kanji notation number r7J of the notation dictionary 6. The "7" notation "Asu" is taken out and used as the kana-kanji conversion result. Similarly, by referring to the concept dictionary number r7J of the notation dictionary 6 from the word "au" that matches the longest with the remaining "au",
The "7" kanji notation number "9" from the concept dictionary 7 is extracted. Next, the “9th” notation “meet” in the notation dictionary 6
, and use this as the kana-kanji conversion result.

In other words, convert ``Asuau J'' into kanji such as ``Asuai Katana.''

In the kanji/kana mixed sentence analysis process, that is, the process of converting a character string that has already been converted into kanji into a kana character string, first, the keyboard 1 is used to specify which character string to convert to kana from among the character strings in the text buffer 5. , for example, if the character string "meet tomorrow" is specified, when the kanji-kana conversion key (not shown) on the keyboard l is pressed, the control unit 3 converts the character string "meet tomorrow" into kanji to the analysis device 8. Send using kana conversion mode. The analysis device 8 searches the notation dictionary 6 for the character string "Azu", refers to the concept dictionary number NJ, extracts the Nj-th kana notation number r7J from the notation dictionary 7, and extracts the character string "7" from the notation dictionary 6. Obtain the th notation ``tomorrow''. Next, search for "meet" from the notation dictionary 6 and use the concept dictionary number "7".
”, the “7” kana notation number “l” of the concept dictionary 7 is retrieved, and the “1” number of the notation dictionary 6 is retrieved.
Obtain the th notation ``au''. In other words, "meet tomorrow" is "
Convert Asuau Go and Kanji to Kana.

Next, the details of the processing operation of the control section 3 will be explained according to the flowchart shown in FIG.

When the mode is set for whether it is a kana-kanji conversion process or a kanji-kana mixed sentence analysis process, that is, a kanji-kana conversion process (step 11), the control unit 3 extracts the target character string from the text buffer 5. and send it to the analysis device 8.

The analysis device 8 first searches the notation dictionary 6 (step 12) and extracts the concept dictionary number of the matching character string (step 13). Here, if the kana-kanji conversion mode is set (step 14), the kanji notation number of the conceptual dictionary 7 is extracted (step 15), and if the kanji-kana conversion mode is set, the kanji notation number of the conceptual dictionary 7 is extracted (step 15). The kana notation number is taken out (step 16).

Then, by referring to them, the notation of the corresponding number is extracted from the notation dictionary 6 (step 17).
, a concept group name is extracted from the concept dictionary 7 (step 18), and the connection between words is checked as a semantic analysis process based on the concept of the word (step 19). Here, if the connection is not possible (step 20), return to the word of the previous clause (step 21), redo the search in the notation dictionary 6 in step 12, and if the connection is possible, perform the conversion process. It is checked whether all the conversions have been completed (step 22). If the conversion has not been completed, the process returns to step 12, and if the conversion has been completed, the process is terminated.

In this way, by using the notation dictionary 6 that mixes kana notation and kanji notation, and the concept dictionary 7 that associates kana notation and kanji notation, both kana-kanji conversion and kanji-kana mixed sentence analysis can be performed. By performing this processing, it is no longer necessary to store the kana notation and the kanji notation redundantly, and the dictionary capacity can be reduced.

In addition, in this way, the two dictionaries, the notation dictionary 6 and the concept dictionary 7, are divided into two dictionaries: +1. By storing concept group names in the concept dictionary 7, the concept group names can be stored in a smaller amount of memory than if each notation in the notation dictionary 6 stores each concept group name for semantic analysis. I can do it.

Furthermore, since the same analysis logic can perform kana-kanji conversion processing and kanji-kana mixed sentence analysis processing, it is possible to unify the analysis processing and improve the conversion accuracy when inversely converting kana and kanji.

(G) Effects of the Invention According to this invention, both the kana-kanji conversion and the analysis of kanji-kana mixed sentences are performed using the notation dictionary and the concept dictionary, so that the dictionary for kana-kanji conversion and the analysis of kanji-kana mixed sentences are processed. It is no longer necessary to register the same j] notation in both the dictionary and the dictionary used for this purpose, making it possible to reduce the dictionary capacity.

In addition, it is possible to convert from kana to kanji and from kanji to kana using the same analysis Ronok.

[Brief Description of the Drawings] Fig. 1 is a block diagram showing the configuration of the present invention, Fig. 2 is a block diagram showing the configuration of an embodiment of the invention, and Fig. 3 shows an example of the stored contents of a notation dictionary. 4 is an explanatory diagram showing an example of the stored contents of a concept dictionary, FIG. 5 is a flowchart showing the operation of the embodiment, and FIG. 6 is an explanatory diagram showing an example of the stored contents of the conventional kana-kanji conversion dictionary. , FIG. 7 is an explanatory diagram showing an example of the stored contents of a conventional dictionary for analyzing sentences containing kanji and kana. 1. Keyboard, 2.. Floppy disk device, 3.. Control unit, 4.. Display device, 5.. Sentence buffer, 6.. Notation dictionary, 7. -Concept dictionary, 8.. Analysis Device. Diagram Sauce Yoshiki Name-i' 11 Diagram O-Jenen Dictionary

Claims (1)

[Claims] 1. A large number of words expressed in the first and second notations are mixed, arranged in a predetermined order and numbered, and related information that associates the first and second notations is provided in the first and second notations, respectively. The first and second notation stored in the notation dictionary and the first and second notations stored in the notation dictionary are arranged in correspondence with the numbers assigned to the notation dictionary, and the numbers for related information of the notation dictionary are attached and the words are A concept dictionary that stores ``Kana character strings'' and ``Kana'' characters with group names, an input means for inputting ``Kana character strings'' and ``Kanji'' characters, and ``Kana character strings'' and ``Kanji-Kana characters'' that have been input. a kana-kanji conversion means for converting the kana character string stored in the storage means into a kanji-kana mixture sentence based on a notation dictionary and a conceptual dictionary; A document processing device comprising a kanji-kana mixed sentence analysis means for converting into an analyzed kana-kana character string based on a concept dictionary.