JPH07225757A - Document input device - Google Patents

Abstract

PURPOSE:To provide an efficient document input device by storing and preferentially displaying a Chinese character (KANJI) candidate selected by a user while including an adjunct and adjacent words as well and to effectively utilize a storage area by storing important words for a long time and erasing words not important early. CONSTITUTION:A basic dictionary retrieving means 4 retrieves a basic dictionary 3 with the partial character string of a Japanese syllabary (KANA) character string inputted by an input means 1 as a key. A clause generating means 5 punctuates the input KANA character string into Japanese clauses and generates a KANJI mixed description based on the retrieved result. Further, a preferential word dictionary retrieving means 8 retrieves a preferential word dictionary 6, and the candidate selected by user is preferentially displayed on a display means 8. When the user selects and decides the candidate by reconversion or the like, a clause information extracting means 7 extracts the independent word and adjunct of the selected KANJI mixed description and records these extracted independent word, adjunt and the reading of the clause and the extracted independent word and the reading of the independent word in the preferential word dictionary 6.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document input device capable of efficiently inputting Japanese by presenting candidates selected by a user preferentially in Japanese Kana-Kanji conversion. It is a thing.

[0002]

2. Description of the Related Art Conventionally, when a Japanese document is created, a method of inputting kana and converting it into kanji has been used. Since there are generally a plurality of kanji corresponding to kana, the user has to repeat the reconversion until the desired kanji is displayed. To reduce the number of re-conversion operations, the most recently used kanji is recorded in a storage area such as RAM, and when the same reading is input, the kanji recorded in the storage area is displayed preferentially. Is used.

In this method, there is a problem how to register the word selected by the user in the storage area, and how to update the word when a homophone exists in the storage area. In addition, in general, there is a limited area to record used Kanji characters, so to register a new word, it is necessary to delete the previously registered word from the storage area.
It also becomes a problem to delete which word.

Conventionally, in order to meet such a demand,
A method as shown in FIG. 20 has been proposed. FIG. 20 is an explanatory diagram for explaining the operation of the word dictionary and the priority information in the kana-kanji conversion processing method disclosed in Japanese Patent Laid-Open No. 61-862.

In FIG. 20 (a), reference numeral 203 denotes a ROM in which a plurality of word groups each consisting of a word reading and a word written in kanji having this reading are stored. The words in Kanji notation include "climate", "port call", "contribution", "pore", etc.
These form one word group. Reference numeral 204 denotes a RAM area allocated for storing priority order information, and stores a plurality of priority order information groups each consisting of a reading of a word and priority order information of a word in Chinese characters having this reading. The numbers such as 3 and 2 in the priority order information group are the sequence numbers in the kanji notation stored in the reading word group "Kiko", and the priority order is 1.
The number is "contribution" stored in the third of the word group,
Priority 2 indicates that the port is the second stored in the word group. Since only 3 and 2 are registered in the priority order information group of the RAM area 204, the subsequent priority order is “climate” and “pore” in the order stored in the word group of the ROM 203. Therefore, in this example, the priority is
It becomes "climate" and "pores".

In this state, when the fourth "pore" in the word group is determined as the Kanji character string for "Kiko", the priority information group "Kiko 4, 3, 2" as shown in FIG. 20 (b). Is written at the beginning of the RAM area 204, and the priority order is “pore”, “contribution”, “port call”,
It becomes "climate". At this time, the priority order information group already stored in the RAM area 204 is shifted backward,
If it doesn't fit, the last one is kicked out.

[0007]

Since the conventional document input device is constructed as described above, it has the following problems.

First, registration in the priority word dictionary is performed in correspondence with the kana reading and kana-kanji mixed notation (hereinafter referred to as kanji-mixed) for each word, and does not consider the structure of bunsetsu. It was Since the unit of reading in the conventional priority word dictionary is an independent word, for example, the sentence "kisha shishasha" is converted to "returned to the train" and the kanji for "kisha" is given priority. When registering in the word dictionary, “return to work”, which will be registered later, is prioritized, so that the first “by train” cannot be the first candidate. This is because registration in the priority word dictionary is not performed in units of clauses such as "kishade" or "kishashita".

Secondly, the deletion from the priority word dictionary in order to effectively use the storage area of the priority word dictionary is performed from the old word registered in the priority word dictionary, and the important words and general words are deleted. I didn't distinguish it from words. Since the priority word dictionary area for recording the used Kanji is limited, it may be necessary to delete the previously registered word from the storage area in order to register a new word. For example, with regard to “kisha”, different notations such as “train” and “return” often appear in the same sentence, and there is a high probability that a word that is registered and has priority will not be the correct answer. But,
Regarding the personal name “Takahiro”, different notations such as “Takahiro”, “Takahiro”, and “Takahiro” rarely appear in the same sentence, and the probability that the notation selected by the user appears again in the same sentence is high. Therefore, when deleting from the priority word dictionary, it is better to treat people's names that have a high probability of reappearing as important words, and delete “train” and “return to office” that have a low probability of reappearing first. It was deleted without distinguishing between common words and ordinary words.

Further, a candidate having a large amount of operation for obtaining the desired notation, such as pressing the re-conversion key many times, needs to repeat many operations again when he forgets it, so the amount of operation is small. It can be said that it is a word that should be emphasized rather than the obtained candidate, but conventionally, the operation amount was not considered.

Thirdly, the maximum number of homophone candidates stored in the priority word dictionary for one reading was the same for all readings. Readings with a large number of homophones are likely to be reconverted, so it is preferable to remember a large number of homophones rather than readings with a small number of candidates. In some cases, it may be better not to delete a word having a large amount of operation for obtaining from the priority word dictionary because of a homophone obtained with a small amount of operation. However, conventionally, the number of homophone candidates has not been taken into consideration when recording or deleting in the priority word dictionary.

Fourth, the recording of the most recently used words in the priority word dictionary did not consider the connection between words. For example, in the context of being adjacent to the word "phenomenon", the word "phantom" in "phantom phenomenon" has priority over other homophones, and the word "kai" that appears in other contexts is read. However, there is a high possibility that a frequently used candidate such as “kai” or “solution” that is not a “phantom” will be selected.

The present invention has been made to solve the above problems, and in kana-kanji conversion, the words that tend to be used by the user are appropriately displayed, and the words used by the user are recorded. To obtain a document input device that effectively utilizes the storage area.

[0014]

The document input device according to claim 1 of the present invention is an input dictionary for inputting a Japanese sentence in kana, a kanji notation corresponding to the kana, and a basic dictionary storing attribute information of this notation. And a basic dictionary search means for searching the basic dictionary with a partial character string of the kana character string input by the input means, and dividing the input kana character string into Japanese phrases from the information searched by the basic dictionary search means. A phrase generation means for generating mixed kanji notation, a display means for displaying candidates for mixed kanji notation, and a priority word dictionary in which the independent word of the candidate selected by the input means from the candidates displayed on this display means is recorded. , A priority word dictionary searching means for searching the priority word dictionary from reading of independent words in the clauses separated by the clause generating means, the input means Therefore, the phrase information extraction means for extracting the selected independent word and adjunct word and reading the extracted independent word and adjunct word and the reading of the phrase, and the extracted independent word and the reading of the independent word in the priority word dictionary. The priority word dictionary searching means searches the priority word dictionary from the reading of the clauses delimited by the clause generating means, and gives priority to the most recently used candidate including the adjunct word.

A document input device according to claim 2 of the present invention is
An input means for inputting Japanese sentences in kana, a kanji notation corresponding to kana and a basic dictionary storing attribute information of this notation,
A basic dictionary search means for searching the basic dictionary with a partial character string of the kana character string input by the input means, and the input kana character string is divided into Japanese phrases from the information searched by the basic dictionary search means and mixed with kanji. A phrase generation means for generating a notation, a display means for displaying a candidate for a mixed kanji notation, a priority word dictionary in which the independent word of the candidate selected by the input means from the candidates displayed on this display means is recorded, In a document input device provided with a priority word dictionary search means for searching the priority word dictionary from reading of independent words in the clauses separated by the clause generation means, the importance is determined by the characteristics of the candidate selected by the input means. A priority determining means for determining and determining the selected candidate according to the determined importance in the priority word dictionary;
The priority word dictionary search means is configured to search the priority word dictionary from the reading of the clauses delimited by the clause generation means, and give priority to the most recently used candidate based on the importance.

The priority determining means of the document input device according to claim 3 of the present invention determines the importance from the attribute information of the Chinese character notation registered in the basic dictionary, and according to the determined importance. The attribute priority determining means changes the recording period to be recorded in the priority word dictionary.

The priority determining means of the document input device according to the fourth aspect of the present invention determines the importance from the number of homophones for kana registered in the basic dictionary, and determines the importance according to the determined importance. It is configured by a basic registered homophone number determining means for changing the number of homophones recorded in the priority word dictionary.

The priority determining means of the document input device according to claim 5 of the present invention is operation amount totaling means for measuring the total of the operation amounts input until the target kanji mixture candidate is selected, and this operation. The operation amount that determines the importance degree from the total amount, records the determined importance degree and the selected candidate in the priority word dictionary, and changes the recording period to be recorded in the priority word dictionary according to the recorded importance degree. And a priority determining means.

The priority determining means of the document input device according to claim 6 of the present invention comprises an operation amount totalizing means for measuring the total of the operation amounts input until a target kanji mixture candidate is selected, and this operation. The operation amount that determines the importance degree from the total amount, records the determined importance degree and the selected candidate in the priority word dictionary, and changes the number of homophones recorded in the priority word dictionary according to the recorded importance degree. It is composed of a registered homophone number determining means.

A document input device according to claim 7 of the present invention is
An input means for inputting Japanese sentences in kana, a kanji notation corresponding to kana and a basic dictionary storing attribute information of this notation,
A basic dictionary search means for searching the basic dictionary with a partial character string of the kana character string input by the input means, and the input kana character string is divided into Japanese phrases from the information searched by the basic dictionary search means and mixed with kanji. A phrase generation means for generating a notation, a display means for displaying a candidate for a mixed kanji notation, a priority word dictionary in which the independent word of the candidate selected by the input means from the candidates displayed on this display means is recorded, In a document input device provided with a priority word dictionary search means for searching the priority word dictionary from reading of independent words in phrases separated by the phrase generation means, a candidate word selected by the input means and a word Judge the connection relation from the attribute information of the Kanji notation registered in the basic dictionary, and if there is a connection relation with the preceding and following words, record the connected word in the priority word dictionary. Connection priority determination means is provided, and the priority word dictionary search means searches the priority word dictionary from the reading of the clauses delimited by the clause generation means, and gives priority to the most recently used candidate including the connection relationship with the preceding and following words. It is configured to do.

[0021]

In the document input device according to the first aspect of the present invention, the kana character string is input by the input means, and the basic dictionary searching means searches the basic dictionary by the partial character string of the input kana character string. Then, based on this search result, the bunsetsu generation means divides the input kana character string into Japanese bunsetsu and generates a kanji mixed notation, and the priority word dictionary search means reads the bunsetsu separated by the bunsetsu generation means. A desired notation is obtained by the input means from the display means that searches the priority word dictionary and retrieves the most recently used candidate including the adjunct word, and displays the retrieved candidate and the kanji mixed notation generated by the phrase generation means. When selected, the phrase information extracting means extracts the candidate independent word and adjunct word selected by the input means, and extracts the extracted independent word and adjunct word and sentence. Of reading, as well as the extracted independent words and the independent word reading of the recorded in the priority language dictionary.

In the document input device according to the second aspect of the present invention, the kana character string is input by the input means,
The basic dictionary search means searches the basic dictionary with a partial character string of the input kana character string, and based on this search result, the bunsetsu generation means divides the input kana character string into Japanese syllables and writes a mixture of kanji characters. The priority word dictionary searching means searches the priority word dictionary from the reading of the clauses delimited by the clause generating means, extracts the latest use candidate based on the importance, and uses the extracted candidates and the clause generating means. When a desired notation is selected by the input means from the display means displaying the generated kanji mixed notation, the priority determination means determines the importance according to the characteristics of the candidate selected by the input means. , The selected candidate is recorded in the priority word dictionary according to the determined importance, and the priority word dictionary is updated according to the importance, The high requirements of the word so as to leave on the priority language dictionary.

The attribute priority determining means of the document input device according to claim 3 of the present invention determines the importance from the attribute information of the Chinese character notation registered in the basic dictionary, and determines the importance to be determined. Therefore, the recording period for recording in the priority word dictionary is controlled so that words of high importance are left in the priority word dictionary for a long time.

The basic registered homophone number determining means of the document input device according to claim 4 of the present invention determines the importance level from the number of homophone words registered in the basic dictionary, and determines the determined importance level. Therefore, the number of homophones recorded in the priority word dictionary is changed so that a large number of highly important words are left in the priority word dictionary.

In the document input device according to the fifth aspect of the present invention, the operation amount totalizing means measures the total of the operation amounts input until the target kanji mixture candidate is selected, and determines the operation amount priority. The means determines the importance from the total of the operation amounts, records the determined importance and the selected candidate in the priority word dictionary, and records the priority word dictionary in accordance with the recorded importance. The recording period is controlled so that words of high importance are left in the priority word dictionary for a long time.

In the document input device according to the sixth aspect of the present invention, the operation amount totalizing means measures the total of the operation amounts input until the target kanji mixture candidate is selected, and the operation amount registered homophone number The determining means determines the importance degree from the total of the operation amounts, records the determined importance degree and the selected candidate in the priority word dictionary, and records the priority word dictionary in the priority word dictionary according to the recorded importance degree. The number of homophones to be changed is changed so that many highly important words are left in the priority word dictionary.

In the document input device according to claim 7 of the present invention, a kana character string is input by the input means,
The basic dictionary search means searches the basic dictionary with a partial character string of the input kana character string, and based on this search result, the bunsetsu generation means divides the input kana character string into Japanese syllables and writes a mixture of kanji characters. The priority word dictionary search means searches the priority word dictionary from the reading of the clauses delimited by the clause generation means, extracts the most recently used candidate including the connection relationship with the preceding and succeeding words, and extracts the candidate. When the desired notation is selected by the input means from the display means that displays the Chinese character mixed notation generated by the phrase generation means, the connection relation determination means causes the connection relation determination means to select the word of the candidate selected by the input means. Judges the connection relation between the word and the word from the attribute information of the Kanji notation registered in the above basic dictionary, and records the connected word in the above priority word dictionary when there is a connection relation with the preceding and following words That.

[0028]

【Example】

Example 1. 1 is an overall configuration diagram of a first embodiment of a document input device according to the present invention. In FIG. 1, reference numeral 1 denotes an input means such as a keyboard having a kana key for inputting a kana character string of a Japanese sentence, a conversion key, a decision key, and the like, and 3 denotes attribute information related to kana notation corresponding to kana and a word such as part of speech The stored basic dictionary, 4 is a basic dictionary search means for searching the basic dictionary 3 with the partial character string of the kana character string input by the input means 1 as a key, and 5 is the information searched by the basic dictionary search means 4. To separate the input kana character string into Japanese phrases and generate a kanji mixed notation, 6 is a priority word dictionary for recording candidates selected by the user, 7 is an independent word from the kanji mixed notation selected by the user Extraction of information about information and adjunct words, reading of the extracted independent words and adjunct words and clauses, and recording of the extracted independent words and reading of independent words in the priority word dictionary 6 Stage, 8 priority dictionary search means for searching the priority dictionary 6 readings clauses separated by clause generating means 5, 9 basic dictionary 3
It is a display means such as a display for displaying candidates for the kanji mixed notation made from the results of searching the and the priority word dictionary 6. Reference numeral 2 is a control unit which is composed of a basic dictionary search means 4, a clause generation means 5, a clause information extraction means 7 and a priority word dictionary search means 8 and which performs processing described later according to a control program written in a ROM or the like. .

FIG. 2 is an explanatory diagram of the priority word dictionary 6 in this embodiment. The priority word dictionary 6 stores the notation of the independent portion and the attached portion extracted from the notation mixed with the kanji and the notation as shown in FIG. FIG. 3 is a flowchart showing the operation of this embodiment. As an example, a case where the sentence "I returned to work by train" is obtained in response to the input "I'm happy" is explained based on the flowchart of FIG.
It is assumed that no information is registered in the priority word dictionary 6 as the initial state. In addition, in the basic dictionary 3, “reporter” is the first candidate for the reading “kisha” and “train”
Is registered as the second candidate, and “return to work” is registered as the third candidate.

First, the input means 1 is used to input a kana that says, "I've done a good job" (step 31). Next, the basic dictionary search means 4 searches the basic dictionary 3 using the partial character string of the input kana character string as a key (step 32). Based on the retrieved result, the phrase generation means 5 divides the phrase into two phrases, "Kisshade" and "Kisshashita" (step 33). For example, n
It is done by a method such as the longest matching method. As a result, "at the press", "at the train", "at work", "at the press", "at the train"
A phrase such as "I returned to work" is generated. Next, the priority word dictionary search means 8 searches the priority word dictionary 6 (step 34). Since no information is currently registered in the priority word dictionary 6, "reporter" and "reporter" corresponding to the first candidate "reporter" of the basic dictionary 3 are displayed on the display means 9 (step 35). ).

Since the displayed candidate is not the candidate desired by the user, the user presses the reconversion key by the input means 1 to instruct the display of the next candidate (step 36). Until the word "By train" appears for the user "Kisshade",
Re-conversion is performed for "Kisshita" until "Returned" appears, and when the desired character string appears, press the enter key.

When the confirm key is pressed, the phrase information extraction means 7 extracts information about the independent word and information about the adjunct word for both the phrases "on the train" and "returned to work". Since the extracted "train" and "returned to the office" are the clauses with attached words (step 37), both clauses are registered with the attached clauses in the priority word dictionary 6 by the clause information extraction means 7 ( A step 38) and a clause without an attached word are registered (step 39).

To register in the priority word dictionary 6, first, "by train"
2, the phrase “train” with an attached word is registered (step 38), and the phrase “train” without an attached word is registered (step 39). At this point, the priority word dictionary 6 is shown in FIG.
It becomes like (a). Next, for "I returned to work", register the phrase "Returned to work" with an attached word (step 38),
Registration of the phrase "returning to the office" without attached words is performed (step 39). For the reading "kisha", "train" has already been registered, but in order to prioritize the new notation "return to work", "train" is deleted and "return to work" is registered. As a result, the priority word dictionary 6 becomes as shown in FIG.

Although the old registered word "train" is deleted from the priority word dictionary 6 in this embodiment, "train" may be left as the second candidate in the priority word dictionary 6.

Next, in this state, "I'm happy"
, The phrase corresponding to "kishade" and the phrase corresponding to "kishashita" are generated by the phrase generating means 5, and the preferential word dictionary searching means corresponds to each phrase. Since 8 searches the priority word dictionary 6 for "by train" and "returned to the office", the desired character string "returned to the train" is displayed first.

When a character string with a different attached word such as "I was a kisha" is input, "return to office" corresponding to the reading "Kisha" which is a partial character string of "I was a kisha" takes precedence. The word dictionary 6 is searched, and "I returned to work" is displayed.

When the expression "train" is displayed for the reading "kisha" without an accompanying word, the phrase is determined to have no accompanying word in step 37, and the phrase with an accompanying word in step 38 is determined. Is not registered, and only "train" corresponding to "kisha" is registered in the priority word dictionary 6 in step 39.

In this embodiment, an example of storing the kanji notation as shown in FIG. 2 in the independent word notation of the priority word dictionary 6 is shown. However, instead of storing the kanji notation, for example, the kanji in the basic dictionary 3 is stored. It may be a notation address, or may be one that can specify the kanji notation stored in the basic dictionary 3.

Example 2. FIG. 4 is an overall configuration diagram of a second embodiment of the document input device according to the present invention. The same parts as those of the first embodiment shown in FIG.
In FIG. 4, 6a is a priority word dictionary for recording the candidates selected by the user, 8a is a priority word dictionary search means for searching the priority word dictionary 6a from the reading of the clauses delimited by the clause generation means 5, and 10 is selected by the user. The degree of importance of the mixed Kanji notation is determined from attribute information relating to words such as parts of speech registered in the basic dictionary 3, and the recording period for leaving the candidate selected by the user in the priority word dictionary 6a according to the determined degree of importance is set. It is an attribute priority determining means for changing. 2a is a basic dictionary search means 4, a clause generation means 5, and a priority word dictionary search means 8a.
And the attribute priority determining means 10 and is a control unit that performs processing described later according to a control program written in a ROM or the like.

FIG. 5 shows the priority word dictionary 6a in this embodiment.
FIG. The priority word dictionary 6a stores, as shown in FIG. 5, the reading, notation, rank indicating the degree of importance, and count indicating the age of registration. In the rank, A represents an important word and B represents a common word. An ordinary noun, which is an attribute registered in the basic dictionary 3, is a common word of rank B, and a person's name is an important word of rank A. The count indicates the age of the word registered in the priority word dictionary 6a, and the larger the value, the older the registration in the priority word dictionary 6a.
As an example, for “Kisha” “train” (the attribute is a common noun), for “Takahiro” “Takahiro” (the attribute is a person's name),
The "deceased" (whose attribute is a common noun) is successively selected for "Kojin". It is also assumed that no information is registered in the priority word dictionary 6a as the initial state.
It is assumed that 00 words can be registered.

FIG. 6 is a flow chart showing the operation of this embodiment. The operation of this embodiment will be described based on the flow chart of FIG. First, a case where "train" is selected by reading "kisha" will be described. Similar to the first embodiment, input of kana (step 61), search of basic dictionary 3 (step 62), generation of clause (step 63), search of priority word dictionary 6a (step 64), display of candidates (step 65). ) And re-conversion (step 66). Since "train" has been selected in the above processing, "train" is next registered in the priority word dictionary 6a. Since no information is currently registered in the priority word dictionary 6a (step 67), the word is not deleted (step 68), and the word count in the priority word dictionary 6a is incremented (step 69). Absent. Since "train" is a common noun, it is judged by the attribute priority determining means 10 as a general word of rank B, and the rank is registered in the priority word dictionary 6a with a rank of B and an initial value of 0 (step 70). As a result, the state of the priority word dictionary 6a becomes as shown in FIG.

Next, the case of selecting "Takahiro" with the reading "Takahiro" will be described. Since the priority word dictionary 6a still has a storage area to be registered, the processing similar to the above-mentioned reading "kisha" is performed until step 67. Next, at step 69, the count of the words in the priority word dictionary 6a is incremented. In this case, since the common word "train" is in the priority word dictionary 6a, the count of "train" is increased by two. The newly registered "Takahiro" has the attribute "personal name".
Therefore, an important word of rank A is set, and the count is registered in the priority word dictionary 6a with an initial value of 0 (step 70). As a result, the state of the priority word dictionary 6a becomes as shown in FIG.

Further, when "deceased" is selected in the reading "kojin", the same processing as the above-mentioned reading "kisha" is performed up to step 67, and in step 69, the general word "train" is added. On the other hand, increase the count by 2 and increase the count by 1 for the important word "Takahiro". "deceased"
Is a general word, so it is a general word of rank B, and the count is registered in the priority word dictionary 6a with an initial value of 0 (step 7).
0). As a result, the state of the priority word dictionary 6a becomes as shown in FIG.

As described above, when a new word is registered, the count of the general words already registered in the priority word dictionary 6a becomes 2
When the number of important words is increased by one and the count of important words is increased by one, the number of registered words in the priority word dictionary 6a exceeds 300, and there is no storage area for registration. When the storage area runs out,
In step 68, the word with the maximum count value is deleted, so that the important word remains in the priority word dictionary 6a for a longer period than the general word. Further, deleting the word with the maximum count value is a process necessary to effectively use the storage area of the priority word dictionary 6a, and according to the present embodiment, a general word having a low degree of importance precedes an important word. Can be deleted.

In the present embodiment, the important word is left in the priority word dictionary 6a for a longer period than the general word according to the value of the count. However, in addition to the method of using the count, the number of words to be registered may be changed according to the degree of importance. Even if divided, important words can be left in the priority word dictionary 6a for a long period. As an example of this, it is assumed that the basic dictionary 3 has about ten times as many general words as important words. As shown in the explanatory diagram of the priority word dictionary 6a shown in FIG. 7, if the number of words that can be registered is 300, and 100 of these words are important words and 200 words are used for general word registration, the basic dictionary 3 Since the ratio of the number of important words to general words that can be registered in the priority word dictionary 6a is larger than the ratio of the number of important words to existing general words, the important words are registered to the priority word dictionary 6a longer. You can keep it.

In this embodiment, the personal name is the important word, but the place name and other proper nouns may be the important words.
The important word may be determined based on other attributes such as technical terms. Further, in the present embodiment, the word is divided into two, that is, the important word and the general word, but it may be divided into three or more categories depending on the degree of importance.
Further, in the present embodiment, 300 words can be registered in the priority word dictionary 6a, but the maximum number may be more than 300 and can be determined by the size of the storage area of the priority word dictionary 6a.

Further, as an example of storing the Kanji notation as shown in FIG. 5 in the notation of the priority word dictionary 6a of this embodiment, instead of storing the Kanji notation, for example, the Kanji notation in the basic dictionary 3 is shown. The address may be stored, or the address that can specify the kanji notation stored in the basic dictionary 3 may be stored. Although the priority word dictionary 6a of the present embodiment stores the rank indicating the degree of importance as shown in FIG. 5, the rank does not have to be stored in the priority word dictionary 6a. Since the rank indicating the degree of importance is determined by an attribute related to a word such as a part of speech stored in the basic dictionary 3, when the count of the priority word dictionary 6a is updated in step 69 of FIG. You may ask for the degree.

Example 3. FIG. 8 is an overall configuration diagram of a third embodiment of the document input device according to the present invention. The same parts as those of the first embodiment shown in FIG.
In FIG. 8, 6b is a priority word dictionary for recording the candidates selected by the user, 8b is a priority word dictionary search means for searching the priority word dictionary 6b from the reading of the clauses delimited by the clause generation means 5, and 11 is selected by the user. Basic registration homophone number determining means for determining the importance of the kanji mixed notation based on the number of homophones for kana registered in the basic dictionary 3 and changing the number of homophones registered in the priority word dictionary 6b according to the determined importance. Is. Reference numeral 2b includes a basic dictionary search means 4, a phrase generation means 5, a priority word dictionary search means 8b, and a basic registered homophone number determination means 11, and a control unit for performing processing described later according to a control program written in a ROM or the like. Is.

FIG. 9 shows the priority word dictionary 6b in this embodiment.
FIG. The priority word dictionary 6b stores two readings of clauses and notations for this reading, notation 1 and notation 2, as shown in FIG. With respect to the input of the character string written in Yomi, the word registered in the notation 1 is first displayed on the display unit 9.
The word displayed as a candidate and registered in the notation 2 is displayed on the display unit 9 as a second candidate. As an example, in the basic dictionary 3, for the reading "kou", "gong""paragraph"
It is assumed that there are 10 homonyms such as "Kou". Further, it is assumed that there are two homophones of "deceased" and "individual" for the reading "kojin". Note that reading with a large number of homophones is likely to be re-converted, and it is preferable to remember a large number of homophones in the priority word dictionary 6b rather than reading with a small number of homophones. Basic dictionary 3
If seven or more of them are registered therein, it is determined that the importance is high and there are many homophones, and up to two homophones can be registered for one reading in the priority word dictionary 6b. In addition, it is assumed that no information is registered in the priority word dictionary 6b as the initial state.

FIG. 10 is a flowchart showing the operation of this embodiment, and the operation of this embodiment will be described based on the flowchart of FIG. First, the case of selecting “gong” with the reading “ko” will be described. Similar to the first embodiment, kana is input (step 101), the basic dictionary 3 is searched (step 102), and clauses are generated (step 10).
3), search of priority word dictionary 6b (step 104), display of candidates (step 105), re-conversion (step 106)
Process. Here, the number of homophones of "Kou" is 10 and is 7 or more, so the basic registered homophone number determining means 11
Determines that the number of homonyms is large (step 10
7), "Gong" is registered in the priority word dictionary 6b (step 108). For the reading "kou", up to two words of notation 1 and notation 2 can be registered in the priority word dictionary 6b. At this time, however, no word is registered for reading "kou", so It is registered in notation 1 as shown in FIG.

Next, when "term" is selected for "this", the same processing as above is performed up to step 107. Next, in step 108, “item” is registered. The notation for "kou" is the priority word dictionary 6b
Since a maximum of two can be registered in, the basic registered homophone number determination means 11 registers a new “term” in the notation 1 and shifts the “gong” to the notation 2 as shown in FIG. 9B. Further, when “Kou” is selected for “Kou”, “Kou” is registered in the notation 1 in step 108, “term” is shifted to the notation 2 and “gong” is deleted from the priority word dictionary 6b. , As shown in FIG. 9 (c).

Next, the case of registering a word for reading "kojin" will be described. When the "deceased" is registered, the number of homophones for the reading "kojin" is two, which is less than seven, in step 107, so the registration is performed in step 109. At this time, since the word "kojin" has not been registered as a word, the "deceased" is shown in FIG.
As shown in (d), the area is not allocated to the notation 1 and the notation 2 is registered.

Next, when "individual" is selected for "kojin", the number of homophones for the reading "kojin" is two, which is less than seven (step 107), and the word registration is 1
As a result (step 108), "individual" is registered in the notation 1 and "deceased" is deleted from the priority word dictionary 6b.

As described above, according to the present embodiment, when reading with a small number of homophones, only the notation 1 is registered, and when words with a large number of homophones are registered in the notation 1 and the notation 2, A large number of words, that is, a large number of candidates and a high possibility of being reconverted, can be registered in the priority word dictionary 6b. Also,
In the case of reading with a small number of homophones, only the notation 1 is registered, so that the storage area of the priority word dictionary 6b can be effectively used. In the present embodiment, the number of homophones that can be registered in the priority word dictionary 6b is divided into two, that is, the notation 1 and the notation 2. However, depending on the number of homophones that are read in the basic dictionary 3, the number can be increased. You may divide.

Further, the notation 1 of the priority word dictionary 6b of this embodiment
The notation 2 shows an example of storing the kanji notation as shown in FIG. 9, but instead of storing the kanji notation, for example, the address of the kanji notation in the basic dictionary 3 may be stored in the basic dictionary 3. You may store what can specify the kanji notation.

Example 4. FIG. 11 is an overall configuration diagram of a document input device according to the fourth embodiment of the present invention. The same parts as those in the first embodiment shown in FIG. In FIG. 11, 6a is a priority word dictionary similar to that of the second embodiment shown in FIG. 4, 8a is a priority word dictionary search means similar to that of the second embodiment shown in FIG. 4, and 12 is a kanji mixture candidate intended by the user. An operation amount totalizing means for measuring the total of the operation amounts input up to selection, 13 determines the importance of the Chinese character mixed notation selected by the user from the total operation amount, and the candidate selected by the user according to the determined importance. Is an operation amount priority determining means for changing the recording period for which is stored in the priority word dictionary 6a.
Reference numeral 2c includes a basic dictionary search means 4, a clause generation means 5, a priority word dictionary search means 8a, an operation amount totaling means 12 and an operation amount priority determination means 13, and will be described later according to a control program written in a ROM or the like. It is a control unit that performs the processing.

FIG. 12 shows the priority word dictionary 6 in this embodiment.
FIG. 6 is an explanatory diagram of “a”, which is the same as the priority word dictionary 6 a of the second embodiment illustrated in FIG.
A count indicating the age of registration is stored as shown in FIG. In the present embodiment, the number of re-conversions is 5 or more, and it is determined that the operation amount is large and is important, and the important word of rank A is set. In addition, the number of re-conversions less than 5 is a general word of rank B. The “count” represents the age of the word registered in the priority word dictionary 6a as in the second embodiment, and the larger the value, the older the registration in the priority word dictionary 6a. As an example, "Kou"
"Gong" is the second candidate and "Term" is the seventh
The candidate, "kojin", is the second candidate for "deceased", and the "kisha" is the second candidate for "kisha." Further, it is assumed that there is no word registered as the initial state in the priority word dictionary 6a and that 300 words can be registered.

FIG. 13 is a flow chart showing the operation of this embodiment, and the operation of this embodiment will be explained based on the flow chart of FIG. First, the case of selecting "gong" for the reading "kou" will be described. Similar to the first embodiment, kana is input (step 131), the basic dictionary 3 is searched (step 132), and clauses are generated (step 13).
3) The retrieval of the priority word dictionary 6a (step 134) is performed. The number of reconversion operations is detected by the total operation amount means 12. A variable c is prepared in order to measure how many times the reconversion key is pressed (step 135), and the value of c is incremented by 1 each time the reconversion key is pressed in step 137 (step 138). Since it is currently the first registration, there is a storage area for registering a new word in the priority word dictionary 6a (step 139), and the previously registered word is deleted (step 14).
0) and increment of the count (step 141)
Does not. “Gong” is the second candidate, and the value of c (the number of times of reconversion) is 1, so N (NO) in step 142, and “gong” is a general word of rank B by the operation amount priority determination unit 13. It is determined that the rank is B and the count is 0, which is the initial value, in the priority word dictionary 6a (step 14).
4). As a result, the state of the priority word dictionary 6a is shown in FIG.
become that way.

Next, the word "kojin" is read as "deceased"
If is selected, the same processing as above is performed up to step 139. Next, in step 141, the priority word dictionary 6a
Since "Gong" registered in is a general word of rank B, the count is increased by 2. The "deceased" to be registered
Is the second candidate, and the value of c (the number of times of reconversion) is 1, so N (NO) is obtained in step 142, and the operation amount priority determination means 13 determines that the “deceased” is a general word of rank B. Then, the rank is registered in the priority word dictionary 6a as B and the count is registered as an initial value of 0 (step 144). As a result,
The state of the priority word dictionary 6a is as shown in FIG.

Next, when "term" is selected for the reading "ko", "gong" and "deceased" registered in the priority word dictionary 6a are general words of rank B in step 141. Therefore, the count is incremented by two, and the “term” to be registered is the seventh candidate, and the value of c (the number of reconversions) is 6, so Y (YES) in step 142, and the “term” is Important word of rank A, count is 0 of initial value
Is registered with (step 143). At the time of registration, "Kou" is already registered in the priority word dictionary 6a by reading "Kou". However, since the new notation "Term" is given priority, "Kou" is deleted in the process of step 143. As a result, the state of the priority word dictionary 6a becomes as shown in FIG. Although “gong” is deleted here, it may be left in the priority word dictionary 6a as a second candidate.

Next, when "train" is selected for the reading "kisha", at step 141, two counts are given to the "deceased" who is rank B and "term" which is rank A. For, increment the count by 1,
Since “train” is the second candidate, step 144
Then, the rank is B, the count is 0, which is the initial value, and the priority word dictionary 6
registered in a. As a result, the state of the priority word dictionary 6a becomes as shown in FIG.

As described above, in the present embodiment, as in the case of the second embodiment, when a new word is registered, the count of general words already registered in the priority word dictionary 6a is increased by 2 and the count of important words is increased by 1. As the number of words is increased, the number of words to be registered in the priority word dictionary 6a exceeds 300, and the storage area for registration is lost.
When the storage area is exhausted, the word having the maximum count value is deleted in step 140, so that the important word remains in the priority word dictionary 6a for a longer time than the general word. In addition, the deletion of the word having the maximum count value is performed by the priority word dictionary 6a.
This is a process required to effectively use the storage area of No. 2. According to the present embodiment, a general word having a low degree of importance can be deleted before an important word.

In addition to the method using the count, the important word can be left in the priority word dictionary 6a for a long period even if the number of words to be registered is divided according to the importance. As an example of this, it is assumed that the number of words appearing less than 5 times is about 10 times more than the number of words appearing when the conversion key is pressed 5 times or more. Also, FIG.
The number of words that can be registered is 300, as shown in the explanatory diagram of the priority word dictionary 6a shown in FIG.
If 0 words are assigned to the registration of the common words, the priority word dictionary 6 is given more than the ratio of the important words to the common words existing in the basic dictionary 3.
Since the ratio of important words to general words that can be registered in a is larger, it becomes possible to register important words in the priority word dictionary 6a longer.

In this embodiment, it is determined that the number of re-conversions is 5 or more and the operation amount is large and important. However, the number of re-conversions as a criterion is not limited to 5 but less than 5 is less. May be. Further, in the present embodiment, 300 words can be registered in the priority word dictionary 6a, but the maximum number may be more than 300 and can be determined by the size of the storage area of the priority word dictionary 6a.

Further, as an example of storing the Kanji notation as shown in FIG. 12 in the notation of the priority word dictionary 6a of this embodiment, instead of storing the Kanji notation, for example, the Kanji notation in the basic dictionary 3 is shown. The address may be stored, or the address that can specify the kanji notation stored in the basic dictionary 3 may be stored.

Example 5. FIG. 14 is an overall configuration diagram of a document input device according to a fifth embodiment of the present invention. The same parts as those in the first embodiment shown in FIG. In FIG. 14, 6d is a priority word dictionary for recording the candidates selected by the user, 8d is a priority word dictionary search means for searching the priority word dictionary 6d from the reading of the clauses delimited by the clause generation means 5, and 12 is the fourth embodiment. Similar to the operation amount totalizing means 12 of, the operation amount totalizing means for measuring the total of the operation amounts input by the user until the user selects the target kanji mixed candidate, and 14 indicates the importance of the kanji mixed notation selected by the user. The operation amount registration homophone number determining means for changing the number of homophones registered in the priority word dictionary 6d according to the determined importance. 2d is a basic dictionary search means 4, a phrase generation means 5, a priority word dictionary search means 8d, and an operation amount totaling means 1
2 and operation amount registration homophone number determination means 14,
According to the control program written in ROM etc.,
It is a control unit that performs processing described below.

FIG. 15 shows the priority word dictionary 6 in this embodiment.
It is explanatory drawing of d. As shown in FIG. 15, the priority word dictionary 6
d has two kinds of notation for reading the phrase, notation 1 and notation 2, and has ranks 1 and 2 indicating the importance of each notation. Similar to the fourth embodiment, the rank of the present embodiment is that the number of times of re-conversion is 5 or more as rank A of the important word, and less than 5 times is rank B of the general word. It is assumed that notation 1 corresponds to rank 1, notation 2 corresponds to rank 2, and notation 1 is displayed as the first candidate and notation 2 is displayed as the second candidate for reading. As an example, the reading “ko” is “term”
"Gong", "Kou" and "Gong" are selected in this order. In the basic dictionary 3, "Gong" is the second candidate, "Term" is the seventh candidate,
"Kou" is the eighth candidate. Further, it is assumed that there is no word registered as the first state in the priority word dictionary 6a.

FIG. 16 is a flow chart showing the operation of this embodiment. The operation of this embodiment will be described based on the flow chart of FIG. First, the case of selecting "term" for the reading "kou" will be described. Similar to the fourth embodiment, kana is input (step 161), the basic dictionary 3 is searched (step 162), and clauses are generated (step 16).
3), the priority word dictionary 6d is searched (step 164), candidates are displayed (step 166), and the number of reconversions is counted (step 168). Since the "term" is the first entry in the priority word dictionary 6d and the word "ko" for the reading is not registered in the priority word dictionary 6d, it is determined as N (NO) in step 169. Next, the operation amount homophone word number determination means 14 determines that the "term" is the important word of rank A because it has been reconverted five times or more in the seventh candidate, and the priority word dictionary 6d.
Is registered in the notation 1 and A in the rank 1 (step 176). As a result, the state of the priority word dictionary 6d is shown in FIG.
It becomes like (a).

Next, when "Gong" is selected for the reading "Kou", the same processing as above is performed up to step 168. This time, since only one word "term" is registered in the priority word dictionary 6d with the reading "ko", Y (YES) in step 169 and step 1
It becomes Y (YES) at 70. Next, since "term" in the priority word dictionary 6d is an important word of rank A, Y (YES) is obtained in step 174, and in step 176, "gong" is the first.
It is registered in the notation 1 as a candidate, and the “term” is shifted to the notation 2 and rank 2 as the second candidate. Since the number of re-conversions for obtaining “gong” is once and less than five times, the rank of “gong” is stored in rank 1 as B. As a result, the priority word dictionary 6d becomes as shown in FIG.

Next, when "Kou" is selected for the reading "Kou", the same processing as above is performed up to step 168, and this time, the word for the reading "Kou" is read in the priority word dictionary 6d. Is registered as “gong” and “term”, so Y (YES) in step 169 and step 1
At 70, it becomes N (NO). Since “gong” has a different degree of importance from rank B and “term” has a different degree from rank A, Y (Y
ES), the less important “Gong” of notation 1 is deleted (step 172), and the new word “Kou” is registered in the notation 1 (step 176). The number of re-conversions for obtaining "Kou" is 7 and is 5 or more, so the rank of "Kou" is A. As a result, the priority word dictionary 6d is shown in FIG. 15 (c).
become that way.

Next, “gong” is selected again for the reading “ko”. The same process proceeds up to step 168. Since two words "Kou" and "paragraph" for the reading "ko" are registered in the priority word dictionary 6d, Y (YES) is obtained in step 169. N at step 170
(NO). Since “step A” and “term” have the same importance, N (NO) is obtained in step 171, and the priority word dictionary 6
"Term" of notation 2 which is an old word registered in d is deleted (step 173), "gong" is newly registered in notation 1 as the first candidate, and "instep" is ranked as notation 2 as the second candidate. It is shifted to 2 (step 176). Since the number of re-conversions to obtain "gong" is 1 and less than 5 times,
The rank of "gong" is B, and as a result, the priority word dictionary 6d
Is as shown in FIG.

Note that only one general word of rank B is registered in the priority word dictionary 6d, and the word to be registered this time is also rank B.
Is a general term, Y (YES) in step 169, Y (YES) in step 170, and N (N in step 174).
O), and in step 175, the notation 1 in the priority word dictionary 6d
After deleting the word registered in, a new word is registered in step 176.

As described above, in this embodiment, the priority word dictionary 6d is used.
If the number of homophones already registered is 0, a new word is registered in the notation 1. If the number of homophones is 1, if the registered word is a general word, delete the registered word and then register a new word in notation 1,
If the registered word is an important word, the registered word is shifted to notation 2 and a new word is registered to notation 1. If the number of homophones is 2, if both of the registered words are important words, delete the registered old word and shift the remaining word to notation 2 and then register the new word in notation 1 to If the degrees of importance are different, the general words having a low degree of importance are deleted, and the words to be left are shifted to the notation 2 and then new words are registered in the notation 1. Therefore, according to this embodiment,
Since the important words whose number of times of re-conversion is 5 times or more are registered in both the notation 1 and the notation 2, many important words can be registered in the priority word dictionary 6d. In addition, general words whose number of times of re-conversion is less than 5 are registered only in the notation 1, and old words or words of low importance are deleted first, so that the storage area of the priority word dictionary 6d becomes effective. Available.

In the present embodiment, the importance is divided into two, that is, the number of times of reconversion is 5 times or more and less than 5 times, but the importance may be divided more finely depending on the operation amount. Further, in the present embodiment, the number of homophones that can be registered in the priority word dictionary 6d is divided into two, that is, the notation 1 and the notation 2. However, depending on the number of phonetic homophones in the basic dictionary 3, the number can be increased. You may divide.

Further, the notation 1 of the priority word dictionary 6d of this embodiment
The notation 2 shows an example of storing the kanji notation as shown in FIG. 15, but instead of storing the kanji notation, for example, the address of the kanji notation in the basic dictionary 3 may be used.
You may store what can specify the Chinese character notation stored in.

Example 6. FIG. 17 is an overall configuration diagram of a document input device according to a sixth embodiment of the present invention. The same parts as those in the first embodiment shown in FIG. In FIG. 17, 6e is a priority word dictionary for recording the candidates selected by the user, 8e is a priority word dictionary search means for searching the priority word dictionary 6e from the reading of the clauses delimited by the clause generation means 5, and 15 is selected. It is a connection relation determining means that determines whether or not there is a connection relation between a candidate word and a word from the attribute information of the Kanji notation registered in the basic dictionary 3 and registers the selected word including the connection relation in the priority word dictionary 6e. . Reference numeral 2e includes a basic dictionary search means 4, a clause generation means 5, a priority word dictionary search means 8e, and a connection relation determination means 15, and is a ROM.
It is a control unit that performs the processing described later according to the control program written in.

FIG. 18 shows the priority word dictionary 6 in this embodiment.
It is explanatory drawing of e. In the priority word dictionary 6e,
The notation, the preceding word and the succeeding word for this notation are stored as shown in FIG. When it is determined that the two words have a connection relationship, the connected words are registered in one notation. Also,
The front word is the word before the connected word, and the back word is the word after the connected word. As an example, the case of obtaining the notation “phantom phenomenon” for the reading “kaigensho” will be described. In addition, there is no word "phantom phenomenon" in the basic dictionary 3, and the prefix "phantom" and "kai"
It is assumed that nouns such as “solution”, “floor”, “shellfish”, and “subordinate” are registered as words having higher priority than “phantom”, and the word “phenomenon” (noun) is also registered. Also,
A word consisting of a prefix and a noun is assumed to be connected. Also,
It is assumed that there is no word registered as the first state in the priority word dictionary 6e.

FIG. 19 is a flow chart showing the operation of this embodiment, and the operation of this embodiment will be described based on the flow chart of FIG. If you input "Kaigensho" (step 191), as in the first embodiment,
Retrieval of basic dictionary 3 (step 192), generation of clauses (step 193), retrieval of priority word dictionary 6e (step 19)
4), candidate display (step 195) and re-conversion (step 196) are performed, and the phrase is divided into "kai" and "gensho". Here, "kai" for "kai"
However, suppose that "phenomenon" is displayed for "gensho". Next, in step 196, the re-conversion key is pressed several times to display "kai" with respect to "kai", and "gensho" is fixed as "phenomenon". Next, the connection relation judging means 15 knows that the part of speech of "kai" is a prefix and the part of speech of "phenomenon" is a noun by the basic dictionary 3, and judges that there is a connection relation between the two words (step 197). ),
It is registered as a connection word (step 198).

As a result, the priority word dictionary 6e is shown in FIG.
As in (a), "kaigensho" is registered in the notation "kaigensho", "kai" in the preceding word, and "phenomenon" in the following word. After that, if "Kaigensho" is entered,
“Mysterious phenomenon” is displayed as the first candidate. At this time, since there is no word registered under the heading "kai", "kai" is not prioritized for "kai" other than "kaigensho", and is displayed in order of priority of the basic dictionary 3.

When it is determined in step 197 that there is no connection relationship, the words are registered in the priority word dictionary 6e word by word. For example, when “lower” (noun) and “phenomenon” (noun) are selected for “kaigensho”, step 197
Then, it is judged that there is no connection between nouns and nouns,
As shown in FIG. 18B, the heading “kai” is “lower”
Is registered (step 199), and thereafter, with respect to the candidate corresponding to the reading of “kai”, “lower” is prioritized.

In this embodiment, the connection relationship is the prefix and the noun, but the noun and the suffix, or the noun and the noun that do not sandwich the adjunct may be the object of the connection word learning. Further, the example of storing the kanji notation as shown in FIG. 18 is shown in the notation of the priority word dictionary 6e of the present embodiment, but instead of storing the kanji notation, for example, the address of the kanji notation in the basic dictionary 3 is also used. Of course, the one that can specify the kanji notation stored in the basic dictionary 3 may be stored.

[0082]

As described above, according to the invention of claim 1,
Information about independent words and adjuncts is extracted from the structure of bunsetsu, and the readings of the extracted independent words and adjuncts and bunsetsu as well as the readings of the extracted independent words and independent words are recorded in the priority word dictionary. Is displayed and the candidate mixed kanji notation is displayed, so that the most recently used candidate including the attached word can be preferentially displayed.

According to the second aspect of the present invention, the priority word dictionary is updated according to the degree of importance determined by the characteristics of the selected kanji mixed notation. Therefore, a word of high importance is left in the priority word dictionary and is given priority. You can Further, since the words of low importance are deleted first, the storage area of the priority word dictionary can be effectively used.

According to the invention of claim 3, the recording period to be recorded in the priority word dictionary is changed according to the degree of importance determined from the attribute information of the kanji notation registered in the basic dictionary.
Highly important words can be left in the priority word dictionary for a long time. Further, since the words of low importance are deleted first, the storage area of the priority word dictionary can be effectively used.

According to the invention of claim 4, the number of homophones recorded in the priority word dictionary is changed according to the degree of importance determined from the number of homophones for kana registered in the basic dictionary. Can be left in the word dictionary. Further, since the words of low importance are deleted first, the storage area of the priority word dictionary can be effectively used.

According to the fifth aspect of the present invention, the degree of importance determined from the total amount of operation input until the target candidate for kanji mixture is selected and the selected candidate are recorded in the priority word dictionary and recorded. Since the recording period to be recorded in the priority word dictionary is changed according to the degree of importance, words of high importance can be left in the priority word dictionary for a long time. Further, since the words of low importance are deleted first, the storage area of the priority word dictionary can be effectively used.

According to the invention of claim 6, the degree of importance determined from the total amount of operation input until the target candidate for kanji mixture is selected and the selected candidate are recorded in the priority word dictionary and recorded. Since the number of homophones to be recorded in the priority word dictionary is changed according to the importance, many words having high importance can be left in the priority word dictionary. Further, since the words of low importance are deleted first, the storage area of the priority word dictionary can be effectively used.

According to the invention of claim 7, the connection relation between the selected candidate word and the word is judged from the attribute information of the kanji notation registered in the basic dictionary, and when there is a connection relation with the preceding and following words. Since the connected words are recorded in the priority word dictionary, it is possible to perform priority display of the most recently used candidate including the connection relationship with the preceding and succeeding words.

[Brief description of drawings]

FIG. 1 is an overall configuration diagram of a document input device according to a first embodiment of the present invention.

FIG. 2 is an explanatory diagram of a priority word dictionary used in the first embodiment of the present invention.

FIG. 3 is a flowchart showing the operation of the document input device according to the first embodiment of the present invention.

FIG. 4 is an overall configuration diagram of a document input device according to a second embodiment of the present invention.

FIG. 5 is an explanatory diagram of a priority word dictionary used in Example 2 of the present invention.

FIG. 6 is a flowchart showing the operation of the document input device according to the second embodiment of the present invention.

FIG. 7 is an explanatory diagram of a priority word dictionary used in Example 2 of the present invention.

FIG. 8 is an overall configuration diagram of a document input device according to a third embodiment of the present invention.

FIG. 9 is an explanatory diagram of a priority word dictionary used in Example 3 of the present invention.

FIG. 10 is a flowchart showing the operation of the document input device according to the third embodiment of the present invention.

FIG. 11 is an overall configuration diagram of a document input device according to a fourth embodiment of the present invention.

FIG. 12 is an explanatory diagram of a priority word dictionary used in Example 4 of the present invention.

FIG. 13 is a flowchart showing the operation of the document input device according to the fourth embodiment of the present invention.

FIG. 14 is an overall configuration diagram of a document input device according to a fifth embodiment of the present invention.

FIG. 15 is an explanatory diagram of a priority word dictionary used in Example 5 of the present invention.

FIG. 16 is a flowchart showing the operation of the document input device according to the fifth embodiment of the present invention.

FIG. 17 is an overall configuration diagram of a document input device according to a sixth embodiment of the present invention.

FIG. 18 is an explanatory diagram of a priority word dictionary used in Example 6 of the present invention.

FIG. 19 is a flowchart showing the operation of the document input device according to the sixth embodiment of the present invention.

FIG. 20 is an explanatory diagram for explaining the operation of the conventional document input device.

[Explanation of sign]

 DESCRIPTION OF SYMBOLS 1 Input means 3 Basic dictionary 4 Basic dictionary search means 5 Phrase generation means 6 Priority word dictionary 7 Phrase information extraction means 8 Priority word dictionary search means 9 Display means 10 Attribute priority determination means 11 Basic registration homophone number determination means 12 Total operation amount Means 13 Operation amount priority determination means 14 Operation amount registration homophone number determination means 15 Connection relation determination means

Claims (7)

[Claims] 1. Input means for inputting Japanese sentences with kana,
A basic dictionary that stores the kanji notation corresponding to kana and the attribute information of this notation, a basic dictionary search means that searches the basic dictionary with a partial character string of the kana character string input by the input means, and this basic dictionary search From the information retrieved by the means, the input kana character string is divided into Japanese clauses to generate a kanji mixed notation, a display means for displaying candidates for kanji mixed notation, and the above-mentioned input from the candidates displayed on this display means. A priority word dictionary in which the candidate independent words selected by the means are recorded, and a priority word dictionary searching means for searching the priority word dictionary from the reading of the independent words in the clauses delimited by the clause generating means. In the document input device, the candidate independent words and adjunct words selected by the input means are extracted, and the extracted independent words and adjunct words and clauses are read and extracted. The phrase information extracting means for recording the independent word and the reading of the independent word in the priority word dictionary is provided, and the priority word dictionary searching means searches the priority word dictionary from the reading of the phrases separated by the phrase generating means. A document input device characterized in that the latest use candidate including an adjunct word is prioritized. 2. An input means for inputting a Japanese sentence by kana,
A basic dictionary that stores the kanji notation corresponding to kana and the attribute information of this notation, a basic dictionary search means for searching the basic dictionary with a partial character string of the kana character string input by the input means, and this basic dictionary search The input kana character string is divided into Japanese phrases from the information retrieved by the means, the phrase generation means for generating the kanji mixed notation, the display means for displaying the candidates for the kanji mixed notation, and the above-mentioned input from the candidates displayed on this display means The priority word dictionary in which the candidate independent words selected by the means are recorded, and the priority word dictionary searching means for searching the priority word dictionary from the reading of the independent words in the clauses delimited by the clause generating means. In the document input device, the importance is determined according to the characteristics of the candidate selected by the input means, and the selected candidate is selected according to the determined importance. The priority word dictionary searching means is provided to record the priority word dictionary, and the priority word dictionary searching means searches the priority word dictionary from the readings of the clauses separated by the clause generating means, and the latest word based on the importance is used. A document input device characterized in that candidates are prioritized. 3. The priority determining means determines the importance from the attribute information of the Kanji notation registered in the basic dictionary, and sets a recording period to be recorded in the priority word dictionary according to the determined importance. 3. The document input device according to claim 2, wherein the document input device is constituted by changing attribute priority determining means. 4. The priority determining means determines the importance degree from the number of homophones for kana registered in the basic dictionary, and changes the number of homophone words recorded in the priority word dictionary according to the determined importance degree. The document input device according to claim 2, wherein the document input device comprises basic registered homophone number determining means. 5. The priority determining means determines the importance from the operation amount totalizing means for measuring the total of the operation amounts input until the target kanji mixture candidate is selected, and the operation amount totalizing means. The operation amount priority determining means that records the determined importance and the selected candidate in the priority word dictionary and changes the recording period to be recorded in the priority word dictionary according to the recorded importance. The document input device according to claim 2, which is characterized in that. 6. The priority determining means determines the importance from the operation amount totalizing means for measuring the total operation amount input until a target kanji mixture candidate is selected, and the operation amount totalizing means. , The determined importance and the selected candidate are recorded in the priority word dictionary, and the operation amount registration homophone word number determination means for changing the number of homophone words recorded in the priority word dictionary according to the recorded importance is configured. The document input device according to claim 2. 7. An input means for inputting a Japanese sentence by kana,
A basic dictionary that stores the kanji notation corresponding to kana and the attribute information of this notation, a basic dictionary search means that searches the basic dictionary with a partial character string of the kana character string input by the input means, and this basic dictionary search From the information retrieved by the means, the input kana character string is divided into Japanese clauses to generate a kanji mixed notation, a display means for displaying candidates for kanji mixed notation, and the above-mentioned input from the candidates displayed on this display means. A priority word dictionary in which the candidate independent words selected by the means are recorded, and a priority word dictionary searching means for searching the priority word dictionary from the reading of the independent words in the clauses delimited by the clause generating means. In the document input device, the connection relationship between the candidate word selected by the input means and the word is determined from the attribute information of the Kanji notation registered in the basic dictionary, When there is a connection relationship with a subsequent word, a connection relationship determination means for recording the connected word in the priority word dictionary is provided, and the priority word dictionary search means is prioritized from reading of the clause delimited by the clause generation means. A document inputting device, characterized in that a word dictionary is searched, and the most recently used candidate including a connection relationship with preceding and following words is prioritized.