JP2008287736A - Kana-kanji conversion device, kana-kanji conversion method, and kana-kanji conversion program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a kana-kanji conversion device, capable of saving a dictionary storage area by dispensing with especially holding a following phrase predictive conversion dictionary. <P>SOLUTION: A kana-kanji conversion processing part 12 performs kana-kanji conversion processing of readings printed in kana constituted by a character input section 11 using information in a kana-kanji conversion dictionary 14 and a user learning dictionary 15, and displays candidates on a display part 13. The user learning dictionary 15 is a dictionary to store contents learnt from input/conversion by the user using the kana-kanji conversion dictionary 14 in the kana-kanji conversion device and to which the user writes a word-registered word. In this embodiment, information for connection between character strings contained in the kana-kanj conversion dictionary 14 is also recorded. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a kana-kanji conversion apparatus, a kana-kanji conversion method, and a kana-kanji conversion program for performing kana-kanji conversion on a read character string input using an input unit such as an operation key or a touch pad.

  As one method of a conventional Japanese kana-kanji conversion system, as disclosed in Japanese Patent Laid-Open No. 11-39300, a predictive dictionary search is performed by inputting a reading character string of the first character or several characters from the beginning. There is a method of inputting characters without inputting the full reading of the character to be tried.

  Also, in a conventional Japanese kana-kanji conversion system, there is a known word prediction conversion method that predicts a character string when a reading character is input, and converts it to an incomplete reading character string and presents it to the user. . Furthermore, as a method for predicting a character string that will be input next when one word is input, as disclosed in Japanese Patent Laid-Open No. 9-274613, the independent word input as the preceding phrase There is a next character string prediction method that presents an attached word as a character string that will be input next based on the connection rule table.

JP-A-11-39300 JP-A-9-274613

  However, since the conventional predictive conversion system described in Patent Document 1 has a predictive dictionary in addition to the kana-kanji conversion dictionary and the user learning dictionary, the conventional predictive conversion system is not equipped with a predictive conversion system. There is a problem that a large number of dictionary storage areas are required.

  Further, the conventional character string prediction method described in Patent Document 2 has a problem that it cannot be performed until a sentence is assembled.

  In addition, the predictive conversion function in the Japanese kana-kanji conversion system described above is a method for constructing a kana-kanji mixed character string without inputting the entire reading of the target character string. The possibility of an accurate reading of the selected predictive conversion candidate character string is very low. For example, when inputting a converted character string and its reading character string in the address input field, for the convenience of the user, enter the reading character string input using the Kana-Kanji conversion system and the converted character string in two fields. In the case of an input system using predictive conversion, the reading character string is incomplete, so the reading field is forced to be re-input, and eventually the entire reading character string is input. .

  The present invention has been made in view of the above circumstances, and provides a kana-kanji conversion device, a kana-kanji conversion method, and a kana-kanji conversion program that do not require a special predictive conversion dictionary and can save a dictionary storage area. Objective.

  In addition, the present invention has been made in view of the above circumstances, and it is no longer necessary to have a special phrase prediction conversion dictionary, and a kana-kanji conversion device, a kana-kanji conversion method, and a kana-kanji conversion that can save a dictionary storage area. The purpose is to provide a program.

  Further, the present invention has been made in view of the above circumstances, and it is possible to obtain a correct reading character string of a converted character string even when predictive conversion is used in a Japanese-to-Kana-Kanji conversion system. An object is to provide a kana-kanji conversion device, a kana-kanji conversion method, and a kana-kanji conversion program.

  In order to solve the above problems, the kana-kanji conversion apparatus according to the present invention records information for converting an input reading character string into a kana-kanji conversion in a kana-kanji conversion device that performs kana-kanji conversion on the input reading character string. A kana-kanji conversion dictionary, a user learning dictionary for recording usage frequency information of character strings included in the kana-kanji conversion dictionary, the input kana-kanji conversion character book and the user learning dictionary Character string prediction means for predicting a character string by searching, and display means for displaying at least one predicted character string candidate extracted by the character string prediction means, the predicted character string displayed by the display means A desired character string is selected from the candidates.

  The kana-kanji conversion method according to the present invention is a kana-kanji conversion method for performing kana-kanji conversion on an input reading character string in order to solve the above-mentioned problem, and records information for converting the input reading character string. The converted character string of the input reading character string is predicted by searching the kana-kanji conversion dictionary and the user learning dictionary for recording the usage frequency information of the character string included in the kana-kanji conversion dictionary A character string prediction step, a display step for displaying at least one prediction character string candidate extracted by the character string prediction step on a display unit, and a desired character string from the prediction character string candidates displayed by the display step. And a selection step for selecting.

  The kana-kanji conversion program according to the present invention is a kana-kanji conversion program executed by a kana-kanji conversion apparatus that performs kana-kanji conversion on an input reading character string in order to solve the above-described problem. Characters that predict the input character string by searching a kana-kanji conversion dictionary in which information on the character string is recorded and a user learning dictionary for recording usage frequency information of the character string included in the kana-kanji conversion dictionary A column prediction step, a display step of displaying at least one predicted character string candidate extracted in the character string prediction step on a display unit, and a desired character string is selected from the predicted character string candidates displayed in the display step And a selection step.

  According to the present invention, the user learning dictionary works like a cache of a kanji conversion dictionary, and the more it is used, the lower the frequency of searching for a kanji conversion dictionary. In addition, since the number of words used by individuals is not large, characters can be input by simply searching the user learning dictionary by continuing the work shown in the procedure to some extent. That is, the degree of searching the entire dictionary is reduced, and the search time is shortened.

  In order to solve the above problems, the kana-kanji conversion apparatus according to the present invention records information for converting an input reading character string into a kana-kanji conversion in a kana-kanji conversion device that performs kana-kanji conversion on the input reading character string. By searching the kana-kanji conversion dictionary, the user learning dictionary for recording the connection information between character strings included in the kana-kanji conversion dictionary, and searching the input kana-kanji conversion dictionary and the user learning dictionary A character string predicting means for predicting a character string; and a display means for displaying at least one predicted character string candidate extracted by the character string predicting means, from the predicted character string candidates displayed by the display means. Lets you select a string.

  The kana-kanji conversion method according to the present invention is a kana-kanji conversion method for performing kana-kanji conversion on an input reading character string in order to solve the above-mentioned problem, and information for converting the input reading character string into kana-kanji conversion. The kana-kanji conversion dictionary in which the character string is recorded and the user learning dictionary for recording the connection information between character strings included in the kana-kanji conversion dictionary are searched for conversion character string candidates of the input reading character string. A predicting character string predicting step, a display step of displaying at least one predicted character string candidate extracted by the character string predicting step on a display unit, and a desired character from the predicted character string candidates displayed by the displaying step And a selection step for selecting a column.

  A kana-kanji conversion program according to the present invention is a kana-kanji conversion program executed by a kana-kanji conversion device that performs kana-kanji conversion on an input reading character string in order to solve the above problem. By searching a kana-kanji conversion dictionary in which information for conversion is recorded and a user learning dictionary for recording connection information between character strings included in the kana-kanji conversion dictionary, the input character string A character string prediction step for predicting a converted character string candidate, a display step for displaying at least one prediction character string candidate extracted by the character string prediction step on a display unit, and the prediction character string displayed by the display step A selection step of selecting a desired character string from the candidates.

  According to the present invention, it is possible to assemble a Japanese sentence by repeating selection processing from a character string of the next phrase presented to the user without inputting a reading character string if there is a previous phrase.

  In order to solve the above problems, a kana-kanji conversion device according to the present invention is a kana-kanji conversion device that performs kana-kanji conversion on an input reading character string, and converts the converted character string even if the input reading character string is incomplete. Character string prediction means for prediction, kana-kanji conversion dictionary in which information for converting the input reading character string into kana-kanji is recorded, and the reading character string is restored from the conversion character string predicted by the character string prediction means Reading character string restoring means.

  Further, the kana-kanji conversion method according to the present invention is a kana-kanji conversion method for performing kana-kanji conversion on an input reading character string in order to solve the above problem, even if the input reading character string is incomplete. A character string prediction step for predicting a conversion character string, and a kana-kanji conversion dictionary in which information for converting the input reading character string into kana-kanji is recorded, and the conversion character string predicted by the character string prediction step A reading character string restoring step of restoring the reading character string.

  The kana-kanji conversion program according to the present invention is a kana-kanji conversion program that is executed by a kana-kanji conversion device that performs kana-kanji conversion on an input reading character string in order to solve the above problem. It is predicted by the character string predicting step using a kana-kanji conversion dictionary in which information for converting an input reading character string into kana-kanji is recorded, even if it is complete, and predicting the converted character string. A read character string restoring step of restoring the read character string of the converted character string.

  According to the present invention, in the kana-kanji conversion device, the kana-kanji conversion method, and the kana-kanji conversion program, it is not necessary to have a special next phrase prediction conversion dictionary, and the dictionary storage area can be saved.

  In addition, according to the present invention, there is a kana-kanji conversion device, a kana-kanji conversion method, and a kana-kanji conversion program, and even if a predictive conversion is used in a Japanese-kana-kanji conversion system, a correct character string of the converted character string is used. Can be obtained.

  Hereinafter, several embodiments of the present invention will be described with reference to the drawings. The first embodiment is a kana-kanji conversion device that converts a kana character input from an input device such as a keyboard or a remote controller into a kanji-kana mixed character string.

  The kana-kanji conversion device is a device that executes kana-kanji conversion software for inputting Japanese to an OS (operating system) or an application. Kana-Kanji conversion software is also called a Japanese input system or Japanese processor. By incorporating this Kana-Kanji conversion device into a Japanese text creation device (Japanese word processor) which is one of the applications, it is possible to create and edit documents.

  Such Kana-Kanji conversion devices and / or Japanese word processors have recently been used in so-called consumer electronic devices such as mobile phones, personal digital assistants (PDAs), portable personal computers, video cameras, digital still cameras, and television receivers. consumer electronics (CE) is now available as an application. These CE devices are connected to a network such as the Internet, and have a function of communicating character information through the network, or address registration, memo writing, as well as titles, song titles, performers, performers, etc. This is because it has a function for recording and searching.

  These CE devices are portable or use a substitute input device such as a jog dial or a reduced key operation part in order to reduce the size of the casing body. A key provided on the remote controller is used as an input device. Therefore, the Kana-Kanji conversion device and / or Japanese word processor provided in these CE devices can be read while reducing the burden on the user even with reduced key operation units, input devices such as jog dials and keys on the remote controller. A function to convert a character string into a character string mixed with Kana-Kanji is expected.

  FIG. 1 is a functional block diagram of a kana-kanji conversion apparatus 10 according to the first embodiment. The kana-kanji conversion processing unit 12 performs kana-kanji conversion processing using the information in the kana-kanji conversion dictionary 14 and the user learning dictionary 15 and displays at least one candidate on the display unit 13. .

  The character input unit 11 is configured by an input device such as a keyboard, a touch panel, or a jog dial, and is a device that can perform processing for forming a reading character string such as a hiragana character.

  The kana-kanji conversion dictionary 14 records information for converting an input reading character string into kana-kanji. As information, the correspondence between words and readings is recorded. In this embodiment, the number of kana-kanji conversion dictionaries 14 is one, but may be plural.

  The user learning dictionary 15 is a dictionary that stores the contents learned by the user input / conversion using the kana-kanji conversion dictionary 14 in the kana-kanji conversion device, and writes the words registered by the user. In this embodiment, usage frequency information of character strings included in the kana-kanji conversion dictionary 14 is also recorded.

  FIG. 2 shows a specific example (A) of the user learning dictionary 15 and a specific example (B) of the kana-kanji conversion dictionary 14. In the user learning dictionary 15, a reading character 21 and a corresponding phrase 22 are described. The user learning dictionary 15 further stores usage frequency information 23. The usage frequency information 23 is information indicating the usage frequency of the word / phrase 32 shown in the kana-kanji conversion dictionary 14 shown in FIG. For example, the usage frequency information 23 has a smaller number as it is newly used. The usage frequency information 23 being “1” indicates that it has been used one time before. Further, the usage frequency information 23 being “2” indicates that it has been used twice before. Note that the usage frequency information 23 is updated each time the corresponding word / phrase 22 (linked to the word / phrase 32 in the kana-kanji conversion dictionary) is used. This usage frequency information can also be described as history information of what has been used in the past. Further, the usage frequency information or history information may be a value reflecting the number of times the words in the Kana-Kanji conversion dictionary are used. For example, “1” is used the most, “2” is used second, and so on. The number of times may be used as the usage frequency information as it is.

  The kana-kanji conversion processing unit 12 searches the kana-kanji conversion dictionary 14 and the user learning dictionary 15 to predict and extract character string candidates corresponding to the read character string input by the character input unit 11. The display unit 13 includes, for example, a liquid crystal display device, and displays at least one predicted character string candidate predicted by the kana-kanji conversion processing unit 12.

  For example, when “O” is input from the character input unit 11, first, a candidate starting with “O” is read from the user learning dictionary 15. As a result, since “sound” and “music” coincide with each other, the two candidates “sound” and “music” are displayed on the display unit 13 as predicted character strings. “Sound” usage frequency information 23 is “3”, indicating that it was used three times before, and “music” usage frequency information 23 is “4”, indicating that it was used four times before. These two candidates “sound” and “music” are displayed in accordance with display settings such that words / phrases whose usage frequency information is “5” or less are candidates in advance. Of course, the display order is made to correspond to the value of the usage frequency information.

  The display setting of the usage frequency information can be changed according to the size of the display unit of the CE device. For example, as shown in FIG. 3, it is assumed that the user learning dictionary 15 describes words 22 with usage frequency information 23 corresponding to the reading characters 21 starting with “ha” from “1” to “5”. . However, when the display unit of the CE device can only take up to three lines, the usage frequency information 23 is set to display “3” or less in advance.

  By the way, in extracting candidates, it is not always necessary to match all the reading character strings, and the reading character strings whose heads match are output as candidates.

  If the displayed candidate is a candidate to be input, the user can select a candidate and perform character conversion without inputting all the read character strings.

  When the character to be input is not displayed, the reading character string is continuously input. The user learning dictionary is searched every time the reading character string is reassembled. If no candidate is extracted in this process, the kana-kanji conversion dictionary 14 is searched.

  For example, it is assumed that the kana-kanji conversion dictionary 14 is described as shown in FIG. Now, when the target character string is “acoustic”, “acoustic” is extracted as a candidate and displayed on the display unit 13 when “onki” is input.

  Then, when the user selects “Sound” from the candidates, information on this character string is registered in the user learning dictionary 15. By this registration processing, when “Onkyo” is input next time, “O” is only input as a reading character string, and “Sound” is displayed as a candidate on the display unit 13. The character string “sound” can be input simply by selecting a candidate using 13.

  Also, when performing a Kana-Kanji conversion dictionary search, instead of extracting the character string that matches all the reading character strings, the character string that matches the first reading character string registered in the dictionary is used. Extract as a candidate.

  A desired character string is selected from the predicted character string candidates displayed on the display unit 13 by the user operating the operation unit included in the character input unit 11 or another operation unit. A Japanese sentence is created by repeatedly selecting a desired character string.

  FIG. 4 is a flowchart showing a first specific example of a processing procedure until the kana-kanji conversion apparatus 10 displays a predicted character string candidate on the display unit 15. When a reading character string is input by the character input unit 11 (step S1), the kana-kanji conversion processing unit 12 searches the user learning dictionary 15 to detect whether there is a candidate (step S2). The user learning dictionary 15 is searched every time the read character string is reassembled. Here, candidates corresponding to the usage frequency information 23 are detected. If there is a candidate, the process proceeds to step S4, and the character string candidate is displayed on the display unit 13. If it is determined in step S2 that there is no candidate, the process proceeds to step S3, where the kana-kanji conversion dictionary 14 is searched. If there is a candidate, the character string candidate is displayed on the display unit 13, but if there is no candidate, the process returns to step S1 to wait for (prompt) input of the reading character string.

  When the dictionary search for Kana-Kanji conversion is performed in step S3, the character string that matches the first reading character string registered in the dictionary is not extracted, but the character string that matches all the reading character strings is extracted. Extract columns as candidates.

  Next, a second specific example of the processing procedure until the kana-kanji conversion apparatus 10 displays the predicted character string candidates on the display unit 15 will be described with reference to the flowchart of FIG.

  When a reading character string is input from the character input unit 11 (step S11), a character string used in the past with a character string starting with an input reading character is normally searched from the user learning dictionary 15 in step S12. Here, when a candidate is obtained, a predicted character candidate is displayed on the display unit 13 in step S16.

  If no candidate is obtained in the normal search of the user learning dictionary in step S12, an ambiguous search is performed in step S13 by replacing one character of the read character string with another character, deleting one character, or adding one character. (User learning dictionary fuzzy search) is performed to extract a character string that matches the reading of the character string stored in the user learning dictionary. If a candidate is obtained by this process, the predicted character candidate is displayed on the display unit 13 in step S16.

  If no candidate is obtained in the user learning dictionary fuzzy search in step S13, a normal search of the kana-kanji conversion dictionary 14 is performed in step S14. In step S14, when the prediction conversion candidate can be extracted (there is a candidate), the prediction conversion candidate is displayed on the display unit 13 in step S16.

  If no candidate is obtained in the normal search of the kana-kanji conversion dictionary in step S14, an ambiguous search is performed using the kana-kanji conversion dictionary 14 in step S15, and a predictive conversion candidate can be extracted. A prediction conversion candidate is displayed on the display part 13 by step S16.

  The fuzzy search performed in step S13 and step S15 is a process of extracting matching candidates by replacing some characters in the input reading character string with other characters, for example. The number of characters to be replaced is one or more characters and does not exceed the reading character string length. This match may be regarded as a match with a candidate that matches the number of input characters at the beginning of the reading character string registered in the dictionary. In addition, it may be determined that the first character does not make an input mistake, and it is determined that the input character string matches the replaced character string when the input character string is shifted to the second character.

  As a method for replacing with other character strings, for example, it is determined that the input character string on the “ka” line matches the “ka, ki, k, ke, ko” that reads all “ka” lines. Also good. Also, it may be determined that a muffled character such as “B” or a semi-voiced character such as “Pa” matches the corresponding silent character “ha”. Similarly, it is possible to limit the stuttering sound such as “nya” and the sound “tsu” to match the characters “ya” and “tsu” which are not written in small letters. In this case, a device having few input keys such as a CE device has an advantage that a plurality of reading character strings can be assigned to one key, and the input keys can be saved.

  In addition, in order to remedy the case where the reading character string input as an ambiguous search is incorrect, it is assumed that a matching candidate matches by adding one character to the input reading character string or a matching candidate by deleting one character. It is also possible to judge. Here, the number to be deleted and the number to be added can be changed depending on the input character string length.

  Here, the ambiguous retrieval processing of the dictionary in step S13 or step S15 may not be performed. Moreover, the process of step S13, step S14, step S15, and step S16 may be combined, and the prediction conversion character string extracted comprehensively may be displayed on the display unit 13 by step S16.

  In order to reduce the number of character string candidates extracted by the above procedure, the display amount of the candidate number is limited by limiting the read character string length of the character string registered in the dictionary and the input character string length to the same number or the same number + N. A function for limiting the above may be added. This is also effective when the size of the display unit 13 of the CE device is limited.

  For example, when a specific example of the user learning dictionary 15 displayed in FIG. 6 is used, when the user learning dictionary normal search in step S13 is limited to (“tan” = 2) +1, a character string is displayed on the display unit 13. “Tank”, “edge”, “箪 笥”, “unit”, and “tank” of long + 1 = 3 are extracted as candidates in the order of the usage frequency information 23. These five candidates are displayed on the display unit 13. If the condition of 3 or less is set in the usage frequency information 23, three candidates above the broken line in the figure are displayed.

  Of course, in the same number + N, N may not be 1, and N = 0, 2, 3,... May be used depending on the size of the display unit.

  After the prediction conversion candidate is displayed in step S16, the prediction conversion candidate can be selected by the control from the character input unit 11. Here, the selected character string is registered in the user learning dictionary 15. Of course, if the character string is already registered in the user learning dictionary, the usage frequency information 23 is updated.

  That is, as shown in FIG. 7, when a character string is selected from the prediction conversion candidates in step S21, it is stored as a character string used in the user learning dictionary in step S22. And the character string memorize | stored by step S22 can be utilized in the process of step S12, 13 of FIG.

  As described above, the kana-kanji conversion apparatus 10 according to the first embodiment whose functional configuration is shown in FIG. 1 does not use a special prediction conversion dictionary, but uses the user learning dictionary 15 to generate a predicted character string. Candidates can be extracted.

  Further, by repeating the processing procedure of the specific example shown in FIG. 4 or FIG. 5, the user learning dictionary can be operated like a cache of a kanji-kanji conversion dictionary, and the frequency of searching the kana-kanji conversion dictionary can be lowered.

  Since the number of words used by an individual is not large, characters can be input by simply searching the user learning dictionary by continuing the work shown in the procedure to some extent. That is, the degree of searching the entire dictionary is reduced, and the search time is shortened.

  In the prior art, the normal kana-kanji conversion text, the user learning dictionary, and the predictive conversion text are separately provided in the prior art. However, according to the first embodiment, it is necessary to have a special predictive conversion dictionary. This saves the dictionary storage area.

  From here, the second embodiment of the present invention will be described. This second embodiment is also a kana-kanji conversion device 40 as shown in the functional block of FIG. A kana-kanji conversion processing unit 12 performs kana-kanji conversion processing using information in the kana-kanji conversion dictionary 14 and the user learning dictionary 15 and displays candidates on the display unit 13.

  The kana-kanji conversion processing unit 12 has a storage area (previous phrase storage area) for storing information on the phrase previously input.

  For example, as shown in FIG. 8, the user learning dictionary 15 has an inter-phrase learning information table which is a place for storing a break between phrases and a connection relationship when the continuous phrase conversion process has been performed previously. The first phrase information does not have to record the conversion character string (Kana, today, Shinagawa Ward, Sony, Tokyo). In this case, there is an advantage that a place for recording the converted next character string is saved.

  FIG. 9 shows an overall processing procedure of the kana-kanji conversion device 40. In step S31, a key input from the character input unit 11 is read and a character string is generated. If a candidate character string is displayed on the display unit 13 according to the following procedure, a candidate selection key is input in step S31.

  In step S32, when the reading character string is generated in step S31 (NO: when the candidate selection key is not operated), the process proceeds to step S34, and the predictive conversion process is performed. On the other hand, when a candidate is displayed on the display unit 13 and the candidate selection key is operated in step S31, candidate selection processing is performed in step S33. The processing procedure of FIG. 9 repeats the processing from step S31 after each processing of step S33 or step S34.

  FIG. 10 shows details of the predictive conversion process in step S34 of FIG. In step S31, a key for generating a reading character string is input (key input includes two types of key input operation for generating a reading character string and a key input operation for selecting a displayed candidate character string). A reading string is generated.

  In step S42, the kana-kanji conversion processing unit 12 determines whether the previous phrase is not registered. Here, when there is a previous phrase (registered or stored), in step S43, refer to the inter-phrase learning information table (location for storing the connection relationship) in the user learning dictionary 15, Extract next phrase candidates.

  For example, when learning is performed as shown in FIG. 8 from the data learned in the past as the inter-sentence learning information table, if “Shinagawa Ward” is set as the previous phrase, “Kita Shinagawa” is set as the next phrase in step S43. Extracted as If the input character string input here is a few characters from the beginning of “Kitashinagawa”, it is extracted in the process of step S43.

  If there is a preceding phrase, in step S44, connectable words, suffixes, and utilization ending tables are extracted from the preceding phrase part-of-speech information to extract connectable words.

  On the other hand, when there is no previous phrase or after step S44, the word extraction performed in the general word prediction process or the first embodiment in step S45 is performed.

  In step S46, it is determined whether or not there is a character string extracted in steps S43, S44, and S45. If there is a character string, the character string is displayed as a predicted character string on the display unit 13 in step S47.

  Next, FIG. 11 shows details of candidate selection processing performed in step S33 of FIG. This candidate selection process is performed after it is determined whether or not the candidate selection key is operated in step S32 in FIG. 9 after the candidate predicted by the prediction conversion process is displayed on the display unit 13. Done. Therefore, a candidate selection process is performed by step S51 from the candidate group by which the prediction conversion character string is displayed on the display part 13 by FIG.10 S47 (a part of prediction conversion process).

  When the candidate character string displayed on the display unit 13 is selected and determined in step S52, the presence / absence of the previous phrase stored in the kana-kanji conversion processing unit 12 is determined in step S53. If the previous phrase is stored, the information between two phrases is recorded in the user learning dictionary 15 in the format shown in FIG. 8 in step S54.

  When the first embodiment is used as the word prediction process, word dictionary learning of the word selected by the processing procedure of FIG. 7 is performed.

  Next, the character string selected in step S55 is recorded in the kana-kanji conversion processing unit 12 as the previous phrase. In step S56, the next phrase is extracted using the character string connected to the phrase determined by the procedure of FIG. 10 as the first phrase. When a character string is extracted by this work, it is displayed on the display unit 13 as a next phrase candidate in step S57.

  The order of the learning between phrases in step S53 to step S55, the previous phrase information recording work, and the word dictionary learning may be changed. Further, when the character string extracted in step S44 is selected and determined, step S53 and step S54 are not performed, and a character string is added to the previous phrase as a process in step S55, and is combined into one phrase. Because it can be handled as an independent word, it is not necessary to just perform a character string composition process.

  Therefore, in the kana-kanji conversion device 40 according to the second embodiment, if there is a previous phrase, the selection process is repeated from the character string of the next phrase to be presented to the user without inputting the reading character string, thereby enabling the Japanese sentence. Can be assembled.

  Further, in the prior art, in order to perform the next phrase prediction conversion, the normal kana-kanji conversion character book, the user learning dictionary, and the next phrase information dictionary are separately provided. However, in the second embodiment, the next phrase prediction is specially performed. There is no need to have a conversion dictionary, saving the dictionary storage area.

  From here, a third embodiment of the present invention will be described. This third embodiment is also a kana-kanji conversion device 50 as shown in the functional block of FIG. A kana-kanji conversion processing unit 12 performs kana-kanji conversion processing using information in the kana-kanji conversion dictionary 14 and the user learning dictionary 15 and displays candidates on the display unit 13.

  The kana-kanji conversion processing unit 12 has a storage area for storing the conversion candidate 52, its tag (ID) 51, and the conversion candidate reading character string 52 shown in FIG. The place where the reading character string is held may be a device or a mark (pointer) indicating the position where the kanji character string information such as a kana-kanji conversion dictionary is stored.

  In this case, since it is not necessary to hold all information of the reading character string, memory resources for holding reading data are saved. Also, a mark indicating the reading character string may be included in the aforementioned tag.

  The processing procedure will be described by taking as an example a system for inputting a name input field and its reading. The assumed system includes a field 62 for inputting a name reading character string, a field 63 for inputting a name, and an area 64 for displaying a predicted conversion character string candidate, as indicated by 61 in FIG.

  When a character is input by the character input unit 11, the kana-kanji conversion processing unit 12 performs a prediction conversion candidate extraction process in step S61 (prediction conversion candidate extraction process) in FIG.

  When the candidate example obtained when “wa” is input from the character input unit 13 is as shown in FIG. 12, a candidate character string 52 and a tag 51 corresponding thereto are added to the prediction conversion candidate. deep. The tag 51 may have any structure as long as the candidate character string 52 can be identified.

  A pair of the predicted conversion candidate 52 and its tag 51 is stored in the storage area of the kana-kanji conversion processing unit 12 as a table. In addition, when the candidate character string is extracted, the reading character string information 53 is extracted from the kana-kanji conversion dictionary 14 at the same time as the conversion candidate character string and recorded in the table (in the kana-kanji conversion processing unit 12).

  The input character string “Wa” is displayed in the reading character string display area 62, and the obtained candidate character string is displayed in the display area 64.

  Then, the target character string “Wakamatsu” is selected from the candidates displayed in the candidate area 64 by the candidate procedure (candidate selection) in step S62 of FIG. When the selection process is performed, the selected candidate character string is displayed in the name display area 66.

  In step S63, it is determined whether a reading character string is necessary. In this procedure, if the application does not require a reading character string, the process ends.

  Since the application assumed as an example requires a reading character string, the tag of the selected character string is sent to the kana-kanji conversion processing unit 12 in step S64. The kana-kanji conversion processing unit 12 extracts the original reading character string by collating with the data table held in step S61.

  In step S65, the extracted reading character string 53 is displayed on the reading input unit 68.

  As described above, according to the kana-kanji conversion apparatus 50 of the third embodiment, it is possible to acquire a correct reading character string of the converted character string even when predictive conversion is used in the Japanese-to-kana / kanji conversion system. Will be able to.

  In the first, second, and third embodiments, the Kana-Kanji conversion devices 10, 40, and 50 include a ROM, a RAM, an HDD, a character input unit, a display unit, and a communication interface, for example, via an internal bus. The connected configuration. This configuration forms a computer system in the CE device. This computer system has the function of a Kana-Kanji conversion device by sequentially executing each Kana-Kanji conversion program of the present invention stored in, for example, a ROM or HDD using the RAM as a work area. Each kana-kanji conversion program constitutes each procedure based on each kana-kanji conversion method of the present invention.

  According to the embodiment of the present invention, in the kana-kanji conversion device, the kana-kanji conversion method, and the kana-kanji conversion program, it is not necessary to have a special predictive conversion dictionary, and the dictionary storage area can be saved.

  Further, according to the embodiment of the present invention, in the kana-kanji conversion apparatus, the kana-kanji conversion method, and the kana-kanji conversion program, it is not necessary to have a special next phrase prediction conversion dictionary, and the dictionary storage area can be saved. .

  Further, according to the embodiment of the present invention, there is a kana-kanji conversion device, a kana-kanji conversion method, and a kana-kanji conversion program, and even if the conversion conversion is performed even when predictive conversion is used in a Japanese-kana-kanji conversion system. A correct reading character string can be acquired.

It is a functional block diagram of the Kana-Kanji conversion device 10, 40, 50 of the first to third embodiments. It is a figure which shows the specific example (A) of the user learning dictionary 15, and the specific example (B) of the dictionary 14 for kana-kanji conversion. It is a figure which shows the other specific example of the user learning dictionary. 10 is a flowchart showing a first specific example of a processing procedure until the kana-kanji conversion device 10 displays a predicted character string candidate on the display unit 15. 10 is a flowchart illustrating a second specific example of a processing procedure until the kana-kanji conversion apparatus 10 displays a predicted character string candidate on the display unit 15. It is a figure which shows the other specific example of a user learning dictionary. It is a flowchart which shows the process sequence which registers the selected character string into a user learning dictionary by selecting a prediction conversion candidate. It is a figure which shows the specific example of the learning information table between phrases. It is a flowchart which shows the whole process sequence of the kana-kanji conversion apparatus of 2nd Embodiment. It is a flowchart which shows the detail of the prediction conversion process in the said step S34 of FIG. It is a flowchart which shows the detail of the candidate selection process performed in step S33 of FIG. It is a figure which shows the storage area which holds the conversion candidate 52, its tag (ID) 51, and the conversion candidate's reading character string 52 used with the kana-kanji conversion apparatus of 3rd Embodiment. It is a figure for demonstrating the process sequence when assuming the system which inputs the input column of a name, and its reading. It is a flowchart for demonstrating the whole process sequence of the kana-kanji conversion apparatus of 3rd Embodiment.

Explanation of symbols

  10, 40, 50 Kana-Kanji conversion device, 11 character input unit, 12 Kana-Kanji conversion processing unit, 13 display unit, 14 Kana-Kanji conversion dictionary, 15 user learning dictionary

Claims (17)

In the Kana-Kanji conversion device that performs Kana-Kanji conversion on the input character string,
A kana-kanji conversion dictionary in which information for converting the input character string into kana-kanji is recorded;
A user learning dictionary for recording connection information between character strings included in the kana-kanji conversion dictionary;
A character string predicting means for predicting a character string by searching the input kana-kanji conversion dictionary and the user learning dictionary,
Display means for displaying at least one predicted character string candidate extracted by the character string predicting means,
A kana-kanji conversion device, wherein a desired character string is selected from the predicted character string candidates displayed by the display means.   The kana-kanji conversion device according to claim 1, wherein the device is applied to a Japanese document creation device that creates a desired document by selecting a desired character string from the predicted character string candidates displayed by the display means. .   The character string predicting means refers to the connection information between character strings in the user learning dictionary when an already used previous phrase corresponding to the input reading character string is registered, 2. The kana-kanji conversion apparatus according to claim 1, wherein at least one candidate for the next phrase following the previous phrase is extracted.   The character string predicting means extracts at least one predicted character string candidate by word prediction when there is no previous phrase corresponding to the input reading character string, displays it on the display means, and then selects a desired character string The kana-kanji conversion apparatus according to claim 1, wherein:   2. The kana-kanji conversion apparatus according to claim 1, wherein the character string predicting means extracts a next phrase candidate of the selected desired character string with reference to the connection information between character strings. In the Kana-Kanji conversion method for performing Kana-Kanji conversion on the input character string,
By searching a kana-kanji conversion dictionary in which information for converting an input reading character string into kana-kanji conversion is recorded, and a user learning dictionary for recording connection information between character strings included in the kana-kanji conversion dictionary A character string prediction step of predicting a conversion character string candidate of the input reading character string;
A display step of displaying on the display unit at least one predicted character string candidate extracted by the character string prediction step;
A kana-kanji conversion method comprising: a selection step of selecting a desired character string from the predicted character string candidates displayed in the display step.   The kana-kanji conversion method according to claim 6, wherein the kana-kanji conversion method is applied to a Japanese document creation device that creates a desired document by selecting a desired character string from the predicted character string candidates displayed in the display step. .   In the character string prediction step, when a previously used previous phrase corresponding to the input reading character string is registered, refer to the connection information between character strings in the user learning dictionary, The kana-kanji conversion method according to claim 6, wherein at least one candidate for the next phrase following the previous phrase is extracted.   When there is no previous sentence corresponding to the input reading character string, the character string prediction step extracts at least one prediction character string candidate by word prediction, and the display step displays at least one prediction character string candidate on the display unit. The kana-kanji conversion method according to claim 6, wherein after the display, the selection step causes a desired character string to be selected.   7. The kana-kanji conversion method according to claim 6, wherein the character string prediction step extracts a next phrase candidate of the desired character string selected by the selection step with reference to the inter-string connection information. In a Kana-Kanji conversion program executed by a Kana-Kanji conversion device that performs Kana-Kanji conversion on the input reading character string,
By searching a kana-kanji conversion dictionary in which information for converting an input reading character string into kana-kanji conversion is recorded, and a user learning dictionary for recording connection information between character strings included in the kana-kanji conversion dictionary A character string prediction step of predicting a conversion character string candidate of the input reading character string;
A display step of displaying on the display unit at least one predicted character string candidate extracted by the character string prediction step;
A kana-kanji conversion program comprising: a selection step of selecting a desired character string from the predicted character string candidates displayed in the display step. In the Kana-Kanji conversion device that performs Kana-Kanji conversion on the input character string,
A character string predicting means for predicting a converted character string even if the input character string is incomplete,
A Kana-Kanji conversion dictionary in which information for converting the input reading character string into Kana-Kanji is recorded;
A kana-kanji conversion device comprising: a reading character string restoring unit that restores a reading character string from the converted character string predicted by the character string prediction unit.   13. The kana-kanji conversion device according to claim 12, further comprising a user learning dictionary in which information for converting the inputted reading character string into kana-kanji is recorded. In the Kana-Kanji conversion method for performing Kana-Kanji conversion on the input character string,
A character string prediction step for predicting a converted character string even if the input character string is incomplete,
A reading character string restoring step of restoring the reading character string of the converted character string predicted by the character string prediction step using a kana-kanji conversion dictionary in which information for converting the inputted reading character string into kana-kanji is recorded; A kana-kanji conversion method characterized by comprising:   The reading character string restoration step further uses a user learning dictionary in which information for converting the input reading character string into kana-kanji is recorded, and the reading character string of the converted character string predicted by the character string prediction step The kana-kanji conversion method according to claim 14, wherein the kana-kanji conversion method is restored. In a Kana-Kanji conversion program executed by a Kana-Kanji conversion device that performs Kana-Kanji conversion on the input reading character string,
A character string prediction step for predicting a converted character string even if the input character string is incomplete,
A reading character string restoring step of restoring the reading character string of the converted character string predicted by the character string prediction step using a kana-kanji conversion dictionary in which information for converting the inputted reading character string into kana-kanji is recorded; A kana-kanji conversion program characterized by comprising:   The reading character string restoration step further uses a user learning dictionary in which information for converting the input reading character string into kana-kanji is recorded, and the reading character string of the converted character string predicted by the character string prediction step The kana-kanji conversion program according to claim 16, wherein the kana-kanji conversion program is restored.

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