JP5439790B2 - Terminal device, computer program, and character string conversion method - Google Patents

Description

  The present invention relates to a terminal device, a computer program, and a character string conversion method for searching conversion candidates corresponding to an input character string from a dictionary for character string conversion.

  A kana-kanji conversion function is known in which a kanji corresponding to a kana character is input if it is input. In general, the kana-kanji conversion function searches a dictionary data for a word corresponding to an input character string, and displays one or more conversion candidates obtained as a result of the search in a display order corresponding to a predetermined priority. The character string is converted by receiving an input for selecting one of them.

  A character string conversion function such as the kana-kanji conversion function is generally designed so that conversion candidates with higher priority can be selected with fewer procedures. For this reason, in the character string conversion function, how to determine the priority between conversion candidates is an important factor for improving the conversion efficiency.

  A Japanese conversion system having a plurality of types of conversion dictionaries, an input means for inputting a character string to be converted, and extracting conversion candidates using each conversion dictionary for the input character string, The conversion control means 5 for obtaining the extracted conversion candidates and the number of candidates for each conversion dictionary, and among the conversion candidates and the number of candidates for each conversion dictionary obtained by the conversion control means, the conversion candidates are based on one selected conversion dictionary And a display control means for controlling the information obtained from other conversion dictionaries to display the number of conversion candidates for each dictionary.

  In addition, a basic dictionary for basic words, a group of specialized terminology dictionaries for words in specialized fields, a word determination unit that divides a sentence of a document to be processed into word candidates, and a search priority of each dictionary are described. Priority table, dictionary search unit that sequentially searches each dictionary according to the priority order shown in the priority table for the isolated word candidates, and detection priority of each dictionary in the priority table from the dictionary There is disclosed a document processing apparatus including a table update unit for updating according to a situation.

  In addition, a mobile terminal device having a position detection function for detecting the geographical current position of the terminal itself and a Japanese language conversion function, and a database of regional proper noun dictionaries in which information including kana readings relating to local specific nouns are described The mobile terminal device notifies the server of the location information acquired by the location detection function using the communication function. When the server receives the location information from the mobile terminal device, Matching with a proper noun dictionary is performed to select a regional proper noun dictionary suitable for position information, and the selected dictionary data is downloaded to the mobile terminal device. Set the Japanese conversion function in the terminal so that it can be referred to preferentially. Regional proper noun dictionaries receiver system characterized by performing the conversion processing to output the regional proper noun is disclosed.

JP 2000-115331 A JP-A-8-305695 JP 2003-330916 A

  The optimum candidate as the conversion candidate changes according to the situation where the user who inputs the character string is placed, that is, the use scene where the user inputs the character string. For example, the word used varies depending on whether a business email is created at a work place or a private email is created at home.

  In view of the above circumstances, it is an object of the disclosed apparatus, computer program, and method to realize a character string conversion function that can switch the priority of conversion candidates in accordance with a usage scene where a user is placed.

  According to an embodiment, a terminal device capable of accessing a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, wherein a plurality of priority lists defining priorities between the plurality of conversion dictionaries Priority list storage means for storing and use scene selection means for selecting a use scene currently used by the terminal device from a plurality of preset use scenes based on a determination result obtained by determining a preset condition And a priority list selecting means for selecting one of a plurality of priority lists according to the determined usage scene, and an input character string according to the priority between the conversion dictionaries defined in the selected priority list There is provided a terminal device comprising priority determination means for determining the priority of each conversion dictionary used for the conversion.

  According to another embodiment, the terminal device is capable of accessing a plurality of learning dictionaries that store the result of character string conversion performed on an input character string performed in the past. Learning means for causing the learning dictionary to learn the result of the character string conversion, conversion candidate determining means for determining a conversion candidate for the input character string based on the result of the character string conversion stored in the learning dictionary, and preset conditions Based on the determined determination result, a usage scene selection unit that selects a usage scene currently used by the terminal device from among a plurality of usage scenes set in advance, a learning unit learns the result of character string conversion, and a conversion candidate Learning dictionary selecting means for selecting a learning dictionary to which the result of character string conversion is referred by the determining means from a plurality of learning dictionaries according to the usage scene determined by the usage scene selecting means , The terminal device comprising a are provided.

  According to the form of the first embodiment described above, the priority of the conversion dictionary can be switched according to the usage scene.

  Moreover, according to the form of the above-mentioned 2nd Example, a learning dictionary can be used properly according to a use scene. By using different learning dictionaries according to usage scenes, it is possible to avoid an inappropriate increase in the priority of conversion candidates learned in different usage scenes from the current usage scene.

  Hereinafter, embodiments will be described with reference to the accompanying drawings. FIG. 1 is a configuration diagram illustrating an example of a hardware configuration of a disclosed terminal device. The terminal device 10 may be any type of device as long as it performs a character string conversion process for converting an input character string into another corresponding character string. Examples of the terminal device 10 are a mobile phone, a portable information terminal, a so-called PDA: Personal Digital Assistant, and a personal computer.

  In the following embodiment, the character string conversion process executed by the terminal device 10 converts a kana character that is an input character string into a kanji character string, a kana-kanji magic character string, a katakana character string, and the like corresponding thereto. The description will be made assuming that the Kana-Kanji conversion process. However, the disclosed apparatus, program, and character string conversion method can be applied to any character string conversion process as long as the character string conversion process converts an input character string into another corresponding character string.

  The terminal device 10 includes a control unit 11, a storage unit 12, an input unit 13, a display unit 14, a global positioning system determination unit 15, an access point detection unit 16, and a timer 17. In the following description and drawings, the global positioning system determination unit 15 and the access point detection unit 16 may be referred to as “GPS detection unit 15” and “AP detection unit 16”, respectively.

  The control unit 11 includes a processing unit such as a CPU or MPU, and executes a computer program stored in the storage unit 12.

  The storage unit 12 stores a kana-kanji conversion program 20 and a Japanese application 23 executed by the control unit 11. The storage unit 12 is realized using a storage device that employs a RAM, a ROM, a hard disk drive, a combination thereof, or the like according to the purpose. The storage unit 12 stores a kana-kanji conversion program 20 and a Japanese application 23 that are executed by the control unit 11.

  The kana-kanji conversion program 20 is a computer program that causes the control unit 11 to execute kana-kanji conversion processing for converting an input kana character string into a kanji character string, a kana-kanji character string, a katakana character string, and the like corresponding thereto. Processing executed by the kana-kanji conversion program 20 will be described later. The storage unit 12 stores a plurality of conversion dictionaries 21 and a plurality of learning dictionaries 22 used by the kana-kanji conversion program 20.

  The conversion dictionary 21 is dictionary data that stores one or more character strings corresponding to an input character string as conversion candidates. The learning dictionary 22 is dictionary data for storing the result of character string conversion executed by the kana-kanji conversion program 20 in the past. For example, the learning dictionary 22 may have data storing an input character string and other character strings selected as conversion results for the input character string in character string conversion performed in the past. Further, the learning dictionary 22 may include priority order data of each conversion candidate in which the priority order of each conversion candidate stored in the conversion dictionary 21 is determined according to each past use frequency. .

  In the present embodiment, the terminal device 10 stores the conversion dictionary 21 and the learning dictionary 22 in the storage unit 12, but it is sufficient that the conversion dictionary 21 and the learning dictionary 22 are accessible from the terminal device 10. For example, all or a part of the plurality of conversion dictionaries 21 and the plurality of learning dictionaries 22 may be dictionary data stored in a server on a network accessible from the terminal device 10.

  On the other hand, the Japanese application 23 is an application program that accepts a Japanese character string as an input from the user. For example, the Japanese application 23 may be an e-mail program or a Japanese word processor software. The storage unit 12 stores data necessary for executing these programs, and stores temporary data generated when the programs are executed.

  The input unit 13 accepts input of a character string from the user to the terminal device 10. For example, when the terminal device 10 is a mobile phone, a PDA, or a personal computer, the input unit 6 is, for example, a key operation unit or a touch panel. The display unit 14 is a display device such as a liquid crystal screen for displaying a character string being input, a conversion candidate for the input character string, or a character string as a conversion result to the user.

  The GPS determination unit 15 measures the position of the terminal device 10 based on the GPS signal received from the GPS satellite, and determines in which of the areas designated in advance the terminal device 10 exists.

  Based on the received signal from the access point, the AP detection unit 16 determines whether the access point that has transmitted the received signal is a wireless LAN access point that is predefined and stored in the terminal device 10. .

  The timer 17 measures the elapsed time and determines the current date and time.

  FIG. 2 is a functional block diagram illustrating an example of functional blocks of the terminal device 10 illustrated in FIG. Each function shown in FIG. 2 is executed by the control unit 11 executing the kana-kanji conversion program 20 stored in the storage unit 12. The terminal device 10 includes a mode setting unit 30, a manual setting unit 31, an automatic setting unit 32, a dictionary setting unit 33, a Japanese conversion unit 40, a conversion candidate composition unit 41, a conversion candidate generation unit 42, A learning unit 50 is provided.

  In the present embodiment, the function of each functional block shown in FIG. 2 is executed by software processing by the control unit 11. Each of these functional blocks may be realized by a dedicated hardware circuit. That is, the mode setting unit 30, the manual setting unit 31, the automatic setting unit 32, the dictionary setting unit 33, the Japanese conversion unit 40, the conversion candidate synthesis unit 41, the conversion candidate generation unit 42, and learning Part and all of the unit 50 may be realized by dedicated hardware circuits.

  The priority dictionary list 61 shown in FIG. 2 is data that specifies some or all of the plurality of conversion dictionaries 21 and defines priorities between the specified conversion dictionaries 21. A plurality of priority dictionary lists 61 are stored in the storage unit 12 shown in FIG. FIG. 3 is a diagram illustrating an example of the data structure of the priority dictionary list 61. The priority dictionary list 61 corresponds to a priority list described in the claims.

  The priority dictionary list 61 includes items of “priority dictionary list name” and “number of dictionaries to be registered”, “dictionary name of first priority” and “priority” of the number n stored in the “number of dictionaries to be registered”. It has items of “second-ranked dictionary name” to “priority n-th dictionary name”. The “priority dictionary list name” is an item indicating a name for identifying each of the plurality of priority dictionary lists 61.

  “Number of dictionaries to be registered” is an item indicating the number of conversion dictionaries 21 registered in the priority dictionary list 61. Items of “first priority dictionary name”, “second priority dictionary name” to “priority nth dictionary name” are items of n conversion dictionaries 21 registered in the priority dictionary list 61. It is an item indicating the name of each conversion dictionary 21 with the first, second, to nth priorities.

  4A to 4D are diagrams illustrating first to fourth examples of a plurality of priority dictionary lists 61 stored in the storage unit 12. The priority dictionary list 61 shown in FIG. 4A is a priority dictionary list in which the conversion dictionary 21 used by the user for business use is registered. The “priority dictionary list name” in the priority dictionary list 61 shown in FIG. 4A is “business”, and the item “number of dictionaries to be registered” indicates that three conversion dictionaries 21 are registered. .

  The items of “first priority dictionary name” to “third priority dictionary name” are items of the first to third priorities registered in the priority dictionary list 61 shown in FIG. The conversion dictionary 21 indicates “in-house term dictionary”, “customer name dictionary”, and “general dictionary”, respectively. The “in-house terminology dictionary” exemplified in the present embodiment is the name of the department of the company where the user works, the terms used in the company, and the company's business name used in the specialized field to which the company belongs And a dictionary in which canonical phrases used in the company are registered.

  The “business partner name dictionary” is a dictionary in which the business partner name of the company where the user works and the name of the person in charge of the organization of the business partner are registered. Furthermore, the “universal dictionary” is a dictionary in which general words, idioms, proper nouns, and the like are registered.

  A priority dictionary list 61 shown in FIG. 4B is a priority dictionary list in which the conversion dictionary 21 used by a user in a normal life other than work is registered. The “priority dictionary list name” in the priority dictionary list 61 shown in FIG. 4B is “general-purpose”, and the item “number of dictionaries to be registered” indicates that one conversion dictionary 21 is registered. The item of “first priority dictionary name” indicates that the first priority conversion dictionary 21 registered in the priority dictionary list 61 shown in FIG. 4B is “general dictionary”. Yes.

  The priority dictionary list 61 shown in FIG. 4C is a priority dictionary list in which the conversion dictionary 21 to be used while the user stays in a specific district is registered. In the following description, the term “xx district” is a term indicating the name of a specific district. The “priority dictionary list name” in the priority dictionary list 61 shown in FIG. 4C is “for xx district”, and the item “number of dictionaries to be registered” indicates that two conversion dictionaries 21 are registered. Yes.

  The items of “first-priority dictionary name” and “second-priority dictionary name” are items of the first and second priorities registered in the priority dictionary list 61 shown in FIG. It shows that the conversion dictionary 21 is “xx district dialect dictionary” and “general-purpose dictionary”. The “xx district dialect dictionary” exemplified in the present embodiment is a dictionary in which dialects used in the xx district are registered.

  A priority dictionary list 61 shown in FIG. 4D is a priority dictionary list in which the conversion dictionary 21 used when the user creates a casual document, that is, an unofficial document, is registered. An example of a casual document is writing to an email, an electronic bulletin board or a blog with a close friend. The “priority dictionary list name” in the priority dictionary list 61 shown in FIG. 4D is “casual”, and the item “number of dictionaries to be registered” indicates that two conversion dictionaries 21 are registered. .

  The items of “first priority dictionary name” and “second priority dictionary name” are items of the first and second priorities registered in the priority dictionary list 61 shown in FIG. It shows that the conversion dictionary 21 is a “casual dictionary” and a “general-purpose dictionary”. The “casual dictionary” exemplified in this embodiment is a dictionary in which informal terms such as net terms are registered.

  Refer to FIG. 2 again. The usage scene-specific data 60 shown in FIG. 2 includes a priority dictionary list that defines the conversion dictionary 21 to be used in each usage scene in which the user of the terminal device 10 is placed, and priorities between the conversion dictionaries 21. 61 is data for designating 61. The use scene-specific data 60 also specifies the learning dictionary 22 to be used in each use scene from the plurality of learning dictionaries 22.

  In this specification, the term “use scene” is used as a word indicating various kinds of situations in which a user is placed. For example, the “use scene” may be a situation relating to the position of the user determined by position information measured using positioning means such as GPS. In addition, the “use scene” can be estimated by determining whether it is within the access point set by the location information or a specific organization such as a company, public institution, or private facility. It may be the situation regarding the content of action. Furthermore, the “use scene” may be information regarding time determined by date information or time information.

  The usage scene-specific data 60 is defined by the user for each usage scene assumed in advance, and stored in the storage unit 12 of FIG. A plurality of use scene-specific data 60 are stored in the storage unit 12 of FIG. FIG. 5 is a diagram showing a first example of the data structure of the usage scene data 60.

  The use scene data 60 shown in FIG. 5 includes items of “use scene data name”, “use scene data priority”, “region determination condition”, “use priority dictionary list”, and “use learning dictionary”. Have The “use scene data name” is an item indicating a name for identifying each of the plurality of use scene data 60.

  The “use scene-specific data priority” is used when the use scene-specific data 60 defined for the current use scene of the terminal device 10 is selected from the plurality of use scene-specific data 60. This is an item indicating the priority of the determination order when determining whether or not the different data 60 is defined for the current use scene. The determination process ends when the use scene data 60 defined for the current use scene is found, and the use scene data 60 found at that time is selected.

  The “region determination condition” is an item indicating a region condition used for determining whether or not the use scene-specific data 60 is defined for the current use scene of the terminal device 10. .

  In the present embodiment, the condition for determining whether or not the terminal device 10 exists in a predesignated area, which is determined by the GPS determination unit 15 in FIG. 1, is used as the area determination condition. In the present embodiment, whether the access point that has transmitted the received signal, which is determined by the AP detection unit 16 in FIG. 1, is a wireless LAN access point that is predefined and stored in the terminal device 10 as the area determination condition. A negative condition is used.

  The at least one usage scene-specific data 60 has “no determination” as the value of the item “region determination condition”. The use scene-specific data 60 having “no determination” as the value of the “region determination condition” item is the default when the current use scene does not satisfy any of the “area determination conditions” of the other use scene-specific data 60. Is selected as the usage scene-specific data 60.

  The items of the “priority dictionary list to be used” include the conversion dictionary 21 to be used in the usage scene, and these, when the usage scene-specific data 60 is selected to be defined for the current usage scene. The priority dictionary list name of the priority dictionary list 61 that defines the priority between the conversion dictionaries 21 is shown.

  The item “Learning dictionary to be used” indicates the name of the learning dictionary 22 to be used in the usage scene when the usage scene-specific data 60 is selected to be defined for the current usage scene. Show.

  6A to 6D are diagrams illustrating first to fourth examples of a plurality of usage scene-specific data 60 stored in the storage unit 12. The usage scene-specific data 60 shown in FIG. 6A is usage scene-specific data 60 for a situation in which the user is in the company where the employee works. The “use scene data name” of the use scene data 60 shown in FIG. 6A is “in-company use”, and the “use scene data priority” item is the priority of the use scene data 60. It shows that the degree is first place.

  The item “area determination condition” is that the use scene specific data 60 is defined for the current use scene that the AP detection unit 16 detects an access point in the company where the user works. This indicates that the determination condition is determined as follows.

  In addition, in the item “priority dictionary list to be used”, the priority dictionary list “business” shown in FIG. “Learning dictionary 1” is designated in the item “Learning dictionary to be used”.

  The usage scene data 60 shown in FIG. 6B is usage scene data 60 for a situation where the user is in the xx area. The “use scene data name” of the use scene data 60 shown in FIG. 6B is “for xx district”, and the “use scene data priority” item is the priority of the use scene data 60. The degree is 8th.

  The item “area determination condition” is that the GPS determination unit 15 determines that the terminal device 10 is in the xx area, and that the use scene-specific data 60 is defined for the current use scene. This indicates that the determination condition is determined.

  In addition, the priority dictionary list “for xx district” shown in FIG. 4C is specified in the “priority dictionary list to be used” item. In the item “Learning dictionary to be used”, “Learning dictionary 2” is designated.

  The usage scene data 60 shown in (C) of FIG. 6 is the usage scene data 60 when the user is in a situation other than the specific usage scene. The “use scene data name” of the use scene data 60 shown in FIG. 6C is “general”, and the item “use scene data priority” indicates the priority of the use scene data 60. It shows that it is 10th.

  “No determination” is specified as the value of the “region determination condition” item. As a result, when there is a usage scene that does not satisfy any of the conditions specified in the “area determination condition” of the other usage scene data 60 whose “use scene-specific data priority” value is 9 or less, it is unconditional. Then, the usage scene-specific data 60 shown in FIG. 6C is selected as data defined for the current usage scene of the terminal device 10.

  In addition, the priority dictionary list “general purpose” shown in FIG. 4B is designated in the item “priority dictionary list to be used”. In the item “Learning dictionary to be used”, “Learning dictionary 3” is designated.

  The use scene data 60 shown in FIG. 6D is use scene data 60 when the user privately accesses the Internet. The “use scene data name” of the use scene data 60 shown in FIG. 6D is “for network access”.

  In addition, in the item “priority dictionary list to be used”, the priority dictionary list “for casual use” shown in FIG. “Learning dictionary 4” is designated in the item “Learning dictionary to be used”. As shown in FIG. 4D, “casual dictionary” is specified in the priority dictionary list 61 for “casual”.

  The item “use scene data priority” includes the use scene data 60 shown in FIG. 6C, that is, the use scene data 60 in which “no determination” is specified in the “region determination condition” item. The 99th priority, which is a lower priority, is assigned.

  Therefore, when selecting the use scene data 60 defined for the current use scene, the “region” of each use scene data 60 in the order of priority specified in the “use scene data priority”. When the “determination condition” is determined, the usage scene-specific data 60 shown in FIG. 6D is not selected.

  In this way, by assigning a lower priority than the other use scene-specific data 60 for which “no determination” is designated to the “region determination condition” item, the usage shown in FIG. 6D inadvertently. By selecting the scene-specific data 60, it is possible to avoid the disadvantage that informal terms such as net terms that are not normally used are listed as conversion candidates.

  Refer to FIG. 2 again. The mode setting unit 30 selects whether the terminal device 10 operates in the use scene-specific data manual setting mode or the use scene-specific data automatic setting mode. The usage scene-specific data manual setting mode is a mode in which the user manually sets usage scene-specific data 60 to be used from among the plurality of usage scene-specific data 60 stored in the storage unit 12.

  In this embodiment, the usage scene-specific data automatic setting mode refers to the usage scene-specific data 60 defined for the current usage scene, among the plurality of usage scene-specific data 60, and the determination result by the GPS determination unit 15 and This mode is automatically selected according to the detection result by the AP detection unit 16.

  In other embodiments described with reference to FIGS. 12 to 14, the use scene-specific data automatic setting mode is a use scene-specific definition defined for the current use scene from a plurality of use scene-specific data 60. In this mode, the data 60 is automatically selected according to the date and time information supplied from the timer 17.

  The mode setting unit 30 displays on the display unit 14 shown in FIG. 1 an inquiry message for inquiring whether the use scene-specific data selection mode is set to the manual setting mode or the automatic setting mode. The mode setting unit 30 is a terminal device in any of the use scene-specific data manual setting mode and the use scene-specific data automatic setting mode in response to a response input from the user via the input unit 13 to the inquiry message. 10 is set to operate.

  When the operation mode of the terminal device 10 is set to the usage scene data manual setting mode, the manual setting unit 31 displays a list of the plurality of usage scene data 60 stored in the storage unit 12 on the display unit 14. The manual setting unit 31 sets the use scene-specific data 60 selected by the user by operating the input unit 13 as “active use scene-specific data”. Setting information 80 for specifying “active scene data” is stored in the area 70 in the storage unit 12. The area 70 and areas 71 to 73 described later may be provided in a RAM area included in the storage unit 12.

  By making it possible to manually set data for each active usage scene, it is possible to use a dictionary used in a scene different from the current usage scene. In addition, a desired dictionary can be used even in a usage scene that cannot be determined by the automatic setting unit 32.

  When the terminal device 10 operates in the use scene-specific data automatic setting mode, the automatic setting unit 32 automatically uses the use scene-specific data 60 defined for the current use scene from the plurality of use scene-specific data 60. The selected use scene data 60 is set to “active use scene data”. The automatic setting unit 32 corresponds to a use scene selecting unit described in the claims.

  In this embodiment, the automatic setting unit 32 selects the usage scene-specific data 60 defined for the current usage scene according to the determination result by the GPS determination unit 15 and the detection result by the AP detection unit 16. In another embodiment described with reference to FIGS. 12 to 14, the automatic setting unit 32 uses the usage scene-specific data 60 defined for the current usage scene according to the date and time information supplied from the timer 17. select.

  The dictionary setting unit 33 reads the use scene-specific data 60 set as the “active use scene-specific data” by the setting information 80 stored in the area 70, and the “use priority dictionary list” of the use scene-specific data 60. And the priority dictionary list 61 and the learning dictionary 22 respectively designated in the items of “use learning dictionary” and “active learning dictionary” and “active learning dictionary”, respectively. Setting information 81 for specifying the “active priority dictionary list” is stored in the area 71 in the storage unit 12, and setting information 82 for specifying the “active learning dictionary” is stored in the area 72 in the storage unit 12. The dictionary setting unit 33 corresponds to a priority list selection unit and a learning dictionary selection unit described in the claims.

  The Japanese conversion unit 40 receives an input character string input from the user via the input unit 13. The Japanese conversion unit 40 outputs an input character string and a conversion candidate generation request for requesting generation of conversion candidates for the input character string to the conversion candidate combining unit 41. The Japanese conversion unit 40 receives one or more conversion candidates received from the conversion candidate synthesis unit 41.

  The Japanese conversion unit 40 displays a list of conversion candidates received from the conversion candidate synthesis unit 41 on the display unit 14. The Japanese conversion unit 40 receives the selection input selected by the user by operating the input unit 13 from the displayed list of conversion candidates, and corresponds the conversion candidate selected by the user to the input character string. The conversion result is output to the Japanese application 23.

  The conversion candidate composition unit 41 receives an input character string and a conversion candidate generation request from the Japanese conversion unit 40. The conversion candidate combining unit 41 specifies each conversion dictionary 21 set in the “active priority dictionary list” and the learning dictionary 22 specified in the “active learning dictionary”. The conversion candidate synthesis unit 41 requests the conversion candidate generation unit 42 to search for conversion candidates for the input character string in each specified dictionary and output the conversion candidates.

  In order for the conversion candidate generating unit 42 to know which conversion dictionary 21 and learning dictionary 22 are specified by the conversion candidate combining unit 41 in order to search for conversion candidates, the conversion candidate combining unit 41 specifies each of the specified conversion dictionaries. 21 and the designated learning dictionary 22 are set as “active dictionaries”. Setting information 83 for designating an “active dictionary” is stored in an area 73 in the storage unit 12.

  When the conversion candidate composition unit 41 designates each conversion dictionary 21 set in the “active priority dictionary list” to the conversion candidate generation unit 42, the priority between the conversion dictionaries 21 defined in the active priority dictionary list The conversion dictionary 21 is sequentially specified in the order according to the above, and conversion candidates are requested.

  Therefore, the conversion candidate composition unit 41 can receive conversion candidates from each conversion dictionary 21 in the order according to the priority between the conversion dictionaries 21 defined in the active priority dictionary list. The conversion candidate synthesis unit 41 corresponds to priority determination means described in the claims.

  The conversion candidate composition unit 41 stores the conversion candidates received sequentially from the learning dictionary 22 and each conversion dictionary 21 in the conversion candidate storage area 43 in the order received. In the conversion candidate storage area 43, the conversion candidates are merged in the stored order. That is, the conversion candidates acquired from each conversion dictionary 21 are merged in the conversion candidate storage area 43 according to the priority order defined in the active priority dictionary list for each conversion dictionary 21.

  The conversion candidate composition unit 41 outputs the conversion candidates merged in the conversion candidate storage area 43 including one or more conversion candidates to the Japanese conversion unit 40.

  The conversion candidate generation unit 42 is designated the conversion dictionary 21 and the learning dictionary 22 from the conversion candidate synthesis unit 41. Moreover, the conversion candidate production | generation part 42 receives the request | requirement of the conversion candidate with respect to an input character string and this input character string. The conversion candidate generation unit 42 searches the specified conversion dictionary 21 and learning dictionary 22 for conversion candidates for the received input character string, and outputs the found conversion candidates to the conversion candidate synthesis unit 41.

  As described above, the learning dictionary 22 may include priority order data in which the priority order of each conversion candidate stored in the conversion dictionary 21 is determined according to the use frequency. The conversion candidate generation unit 42 arranges a plurality of conversion candidates obtained as a result of the search in the designated conversion dictionary 21 in an order according to the priority order stored in the designated learning dictionary 22 and then to the conversion candidate synthesis unit 41. It may be output.

  In this case, the conversion candidates stored in the conversion candidate storage area 43 include the priority order defined in the priority dictionary list for the conversion dictionary 21 that acquired each candidate, and the conversion candidates stored in the learning dictionary 22. Merged side by side according to priority. The conversion candidate generation unit 42 corresponds to conversion candidate determination means described in the claims. Moreover, the conversion candidate synthesis | combination part 41 and the conversion candidate production | generation part 42 are corresponded to the priority order determination means described in the claim.

  When the conversion result for the input character string is confirmed by the user selecting one conversion candidate from the list of conversion candidates displayed on the display unit 14, the learning unit 50 selects the selected conversion candidate, that is, conversion The result is received from the Japanese conversion unit 40. The learning unit 50 causes the learning dictionary 22 specified by the “active learning dictionary” to learn the conversion result for the input character string. The learning unit 50 corresponds to learning means described in the claims.

  FIG. 7 is a flowchart illustrating an example of the disclosed character string conversion method. In step S <b> 1, the mode setting unit 30 performs a selection process of the usage scene-specific data selection mode. The mode setting unit 30 displays a message on the display unit 14 asking whether the use scene-specific data selection mode is set to the manual setting mode or the automatic setting mode.

  In step S2, the mode setting unit 30 determines in which mode the terminal device 10 is to be operated in either the usage scene-specific data manual setting mode or the usage scene-specific data automatic setting mode according to a response from the user to this message. .

  In step S2, the mode setting unit 30 calls the manual setting unit 31 and moves the process to S3 when the use scene data selection mode selected in step S1 is the use scene data manual setting mode. When the scene-specific data selection mode is the use scene-specific data automatic setting mode, the automatic setting unit 32 is called and the process proceeds to S4.

  In step S <b> 3, the manual setting unit 31 displays a list of the plurality of usage scene-specific data 60 stored in the storage unit 12 on the display unit 14. The manual setting unit 31 sets the use scene-specific data 60 selected by the user as “active use scene-specific data”. Thereafter, the process proceeds to step S5.

  In step S4, the automatic setting unit 32 automatically selects the use scene-specific data 60 defined for the current use scene from the plurality of use scene-specific data 60, and the selected use scene-specific data 60 is selected. Is set to “active use scene data”.

  FIG. 8 is a flowchart showing a first example of the usage scene-specific data automatic setting process S4 shown in FIG. In step S <b> 11, the automatic setting unit 32 reads all the plurality of use scene-specific data 60 registered in the storage unit 12 of the terminal device 10, and uses the plurality of use scene-specific data 60 as “use scene part value data priority”. Sort according to the priority specified in the item.

  In step S12, the automatic setting unit 32 selects the use scene-specific data 60 that has not been selected for the determinations in steps S13 to S15 and has the highest “use scene part value data priority” value. Then, the condition specified in the item “Region determination condition” is read.

  In step S <b> 13, the automatic setting unit 32 determines whether the condition specified in the item “region determination condition” is a condition determined according to the determination result by the GPS determination unit 15 or according to the detection result by the AP detection unit 16. It is determined whether it is a condition to be determined or a value of “no determination” is specified in the item of “region determination condition”.

  When the condition determined according to the determination result by the GPS determination unit 15 is designated, the automatic setting unit 32 proceeds to step S14. When the condition determined according to the detection result by the AP detection unit 16 is specified, the automatic setting unit 32 proceeds to step S15. When the value of “no determination” is designated, the automatic setting unit 32 moves the process to step S16.

  In step S <b> 14, as a result of the determination by the GPS determination unit 15, the automatic setting unit 32 determines whether or not the terminal device 10 exists in the district designated by the “region determination condition” item. If the terminal device 10 exists in the designated area, the automatic setting unit 32 proceeds to step S16, and if not, returns the process to step S12.

  In step S <b> 15, the automatic setting unit 32 determines whether or not the terminal device 10 exists in the area of the access point of the wireless LAN specified by the item “region determination condition” as a result of detection by the AP detection unit 16. . If the terminal device 10 exists within the range of the designated wireless LAN access point, the automatic setting unit 32 shifts the process to step S16, and otherwise returns the process to step S12.

  In step S <b> 16, the automatic setting unit 32 sets the currently selected use scene-specific data 60 to “active use scene-specific data”, and ends the process.

  Refer to FIG. 7 again. In step S5, the dictionary setting unit 33 reads the use scene-specific data 60 set as “active use scene-specific data”, and is designated in the items of “priority dictionary list to be used” and “learning dictionary to be used”. The priority dictionary list 61 and the learning dictionary 22 are set to “active priority dictionary list” and “active learning dictionary”, respectively.

  In step S6, the kana-kanji conversion process described below with reference to FIGS. 9 and 10 is executed. 9 and 10 are flowcharts showing an example of the kana-kanji conversion process S6 shown in FIG. 7, and FIG. 11 is an explanatory diagram of the kana-kanji conversion process S6.

  For easy understanding, the storage unit 12 stores learning dictionaries 1 to 4 as a plurality of learning dictionaries 22, and the plurality of learning dictionaries 21 include a “general-purpose dictionary”, “in-house term dictionary”, “customer name dictionary”, An example in which “xx district dialect dictionary” and “casual dictionary” are stored will be described below. Further, in this example, in step S5 shown in FIG. 7, the “business priority” dictionary list shown in FIG. 4A is set as the “active priority dictionary list”, and the “active learning dictionary” is set. Assume that the learning dictionary 1 is set.

  In step S20, the Japanese conversion unit 40 receives an input character string input from the user via the input unit 13, as indicated by an arrow 101 shown in FIG.

  In step S <b> 21, the conversion candidate composition unit 41 receives an input character string and a conversion candidate generation request from the Japanese conversion unit 40 as indicated by an arrow 102. In step S <b> 22, the conversion candidate composition unit 41 erases the data in the conversion candidate storage area 43 and initializes the conversion candidate storage area 43.

  In step S <b> 23, the conversion candidate composition unit 41 reads identification information 82 specifying the learning dictionary 1 set as the “active learning dictionary” from the area 72, as indicated by an arrow 103. The conversion candidate composition unit 41 sets the learning dictionary 1 set as the “active learning dictionary” as the “active dictionary”.

  In step S <b> 24, the conversion candidate composition unit 41 requests the conversion candidate generation unit 42 to search for a conversion candidate for the input character string in the learning dictionary 1 designated as “active dictionary” as indicated by an arrow 104. To do. The conversion candidate generation unit 42 searches for a conversion candidate corresponding to the input character string in the designated learning dictionary 1. The conversion candidate generation unit 42 transmits the conversion candidate obtained as a result of the search to the conversion candidate synthesis unit 41 as indicated by an arrow 105. Each conversion candidate transmitted from the conversion candidate generating unit 42 to the conversion candidate synthesizing unit 41 is indicated by reference numeral 121 in FIG.

  In step S <b> 25, the conversion candidate composition unit 41 stores the received conversion candidate in the conversion candidate storage area 43 as indicated by an arrow 106.

  In step S <b> 26, the conversion candidate composition unit 41 reads identification information 81 that designates the priority dictionary list “business” set as the “active priority dictionary list” from the area 71 as indicated by the arrow 103. The conversion candidate composition unit 41 reads the priority dictionary list “for business” set in the “active priority dictionary list”, the number of dictionaries n = 3 specified in “the number of dictionaries to be registered”, and “first priority” The names “in-house term dictionary”, “customer name dictionary”, and “general dictionary” of each conversion dictionary 21 respectively designated by “dictionary name” to “dictionary name of the third highest priority” are read. In step S27, the conversion candidate composition unit 41 sets the value of the count variable cnt that counts an integer in the range of 1 to n (n = 3) to 1.

  In step S28, the conversion candidate composition unit 41 determines whether or not the value of the count variable cnt is equal to or less than the number of dictionaries n. When the value of the count variable cnt is a value equal to or less than the number of dictionaries n, the conversion candidate composition unit 41 proceeds to step S29. When the value of the count variable cnt exceeds the dictionary number n, the conversion candidate composition unit 41 proceeds to step S33. In step S29, the conversion candidate composition unit 41 sets the conversion dictionary 21 with the cnt-th priority to “active dictionary”.

  In step S <b> 30, the conversion candidate composition unit 41 requests the conversion candidate generation unit 42 to search for a conversion candidate for the input character string in the conversion dictionary 21 designated as “active dictionary” as indicated by an arrow 104. To do. The conversion candidate generation unit 42 searches for a conversion candidate corresponding to the input character string in the dictionary designated as the “active dictionary”, and converts the conversion candidate obtained as a result of the search as indicated by an arrow 105. 41.

  By repeating steps S29 and S30 for the first to third priority “in-house term dictionary”, “customer name dictionary”, and “general-purpose dictionary” in the order of the priorities of 1 to 3, The conversion candidate composition unit 41 includes conversion candidates obtained by searching the “priority term dictionary” having the first priority, conversion candidates obtained by searching the “customer name dictionary” having the second priority, The conversion candidates are received in the order of conversion candidates obtained by searching the “general dictionary” of the third priority.

  In step S <b> 31, the conversion candidate composition unit 41 stores the received conversion candidates in the conversion candidate storage area 43 as indicated by an arrow 106. At this time, when there is a conversion candidate previously stored in the conversion candidate storage area 43, the conversion candidate combining unit 41 adds the conversion candidate after the conversion candidate stored first. For this reason, the conversion candidates stored in the conversion candidate storage area 43 are merged so as to be arranged in the order of priority of the conversion dictionary 21 from which each conversion candidate is acquired. In step S32, the conversion candidate composition unit 41 increases the value of the count variable cnt by one, and the process proceeds to step S28.

  In step S <b> 33, the conversion candidate composition unit 41 outputs the merged conversion candidates stored in the conversion candidate storage area 43 to the Japanese conversion unit 40 as indicated by an arrow 107. In step S <b> 34, the Japanese language conversion unit 40 displays a list of one or more conversion candidates included in the merged conversion candidates on the display unit 14, as shown by an arrow 108, and presents it to the user.

  In step S <b> 35, the Japanese conversion unit 40 receives a selection input selected by the user by operating the input unit 13 from the list of conversion candidates as indicated by an arrow 109. In step S <b> 36, the learning unit 50 receives the conversion result selected by the user from the list of conversion candidates displayed on the display unit 14 from the Japanese conversion unit 40 as indicated by the arrow 110. The learning unit 50 causes the learning dictionary 1 set as the “active learning dictionary” to learn the conversion result for the input character string.

  In step S <b> 37, the Japanese conversion unit 40 outputs the conversion candidate selected by the user by operating the input unit 13 to the Japanese application 23 as indicated by an arrow 111.

  According to the present embodiment, it is possible to switch dictionary priorities, conversion candidate priorities, and conversion candidate display orders in accordance with changes in usage scenes. Thus, the character string input efficiency by the user is improved by switching the priority of the dictionary, the priority of the conversion candidates, and the display order of the conversion candidates.

  Here, in order to switch the priority of conversion candidates and the display order of conversion candidates according to changes in the usage scene, it is also possible to prepare a dictionary with different conversion candidate priorities for each usage scene and use it. It is done. In this case, since the vocabulary necessary for a plurality of usage scenes, such as the vocabulary registered in the “general-purpose dictionary” shown in the present embodiment, needs to be registered in each dictionary, The storage capacity is compressed to reduce the use efficiency of the storage unit 12.

  In this embodiment, a dictionary or dictionary group to be used and a priority dictionary list that defines the priority within the dictionary group are prepared for each usage scene. In this embodiment, the priority and display order of conversion candidates can be changed for each usage scene in units of dictionaries while sharing the same dictionary in different usage scenes. For this reason, it is possible to avoid a decrease in the utilization efficiency of the storage unit 12 as described above.

  In this embodiment, a plurality of dictionaries are registered as a use dictionary in groups. For this reason, while the exclusive dictionary most suitable for each usage scene is preferentially used, a general-purpose dictionary having a low priority can be used at the same time, thereby saving labor for dictionary switching.

  Further, according to the present embodiment, the learning dictionary is switched according to the change of the usage scene. For this reason, it is avoided that the learning results learned in different usage scenes are mixed, and the character string input efficiency by the user is improved.

  According to the present embodiment, the conversion candidate combining unit 41 presents a list of conversion candidates obtained by combining the conversion candidates acquired from a plurality of dictionaries to the user. As a result, a list of conversion candidates including more conversion candidates can be displayed at the same time, so that the character string input efficiency by the user is improved.

  FIG. 12 is a diagram illustrating a second example of the data structure of the usage scene-specific data 60. The usage scene-specific data 60 shown in FIG. 12 includes an item “time determination condition” instead of the item “area determination condition” in the first example described with reference to FIG.

  The “time determination condition” is an item indicating a time condition used for determining whether or not the use scene-specific data 60 is defined for the current use scene of the terminal device 10. is there. In this embodiment, the time determination condition is that the time indicated by the date and time information supplied from the timer 17 in FIG. 1 is a specific date, a specific day of the week, or a specific time, or in a specific period. The presence or absence condition is used.

  FIGS. 13A to 13C are diagrams illustrating fifth to seventh examples of the usage scene-specific data 60. FIG. The usage scene-specific data 60 shown in FIG. 13A is usage scene-specific data 60 for a situation where the user is working from home. The “use scene data name” of the use scene data 60 shown in FIG. 13A is “work”, and the “use scene data priority” item is the priority of the use scene data 60. Indicates the first place.

  The item “time determination condition” indicates that the current date and time information supplied by the timer 17 indicates a time period from 9:00 to 16:59 from Monday to Friday. This indicates that the determination condition is determined to be defined for the usage scene.

  In addition, in the item “priority dictionary list to be used”, the priority dictionary list “business” shown in FIG. “Learning dictionary 1” is designated in the item “Learning dictionary to be used”.

  The usage scene-specific data 60 shown in FIG. 13B is usage scene-specific data 60 for situations where the user is not working. The “use scene data name” of the use scene data 60 shown in FIG. 13B is “for private use”, and the “use scene data priority” item is the priority of the use scene data 60. Is in second place.

  The item “time determination condition” indicates that the current date and time information supplied by the timer 17 is Saturday or Sunday, or indicates the time between 17:00 and 23:00. This indicates that the determination condition is determined to be defined for the current use scene.

  In addition, in the item “priority dictionary list to be used”, the priority dictionary list “for casual use” shown in FIG. In the item “Learning dictionary to be used”, “Learning dictionary 2” is designated.

  The usage scene data 60 shown in FIG. 13C is the usage scene data 60 when the user is in a situation other than the specific usage scene. The “use scene data name” of the use scene data 60 shown in FIG. 13C is “general”, and the item “use scene data priority” indicates the priority of the use scene data 60. It shows that it is 10th.

  “No determination” is specified as the value of the “time determination condition” item. As a result, when there is a usage scene in which none of the conditions specified in the “time determination condition” of the other usage scene-specific data 60 whose “use scene-specific data priority” is 9 or less, The usage scene-specific data 60 shown in 13 (C) is selected as data defined for the current usage scene of the terminal device 10.

  In addition, the priority dictionary list “general purpose” shown in FIG. 4C is designated in the item “priority dictionary list to be used”. In the item “Learning dictionary to be used”, “Learning dictionary 3” is designated.

  FIG. 14 is a flowchart showing a second example of the usage scene-specific data automatic setting process S4 shown in FIG. In step S41, the automatic setting unit 32 reads all of the plurality of use scene-specific data 60 registered in the storage unit 12 of the terminal device 10, and uses the plurality of use scene-specific data 60 as “use scene part value data priority”. Sort according to the priority specified in the item.

  In step S42, the automatic setting unit 32 selects the use scene-specific data 60 that has not been selected for the determinations in steps S43 to S44 and has the highest “use scene part value data priority” value. Then, the condition specified in the item “time determination condition” is read.

  In step S43, the automatic setting unit 32 specifies whether a condition determined according to the date / time information given from the timer 17 is specified in the item “region determination condition”, or a value “not determined” is specified. It is determined whether it is.

  When the condition determined according to the date / time information given from the timer 17 is designated, the automatic setting unit 32 proceeds to step S44. When the value of “no determination” is designated, the automatic setting unit 32 proceeds to step S45.

  In step S <b> 44, the automatic setting unit 32 determines whether the date and time information given from the timer 17 is at or within the period specified by the “region determination condition” item. When the date and time information is the designated time or within the designated period, the automatic setting unit 32 proceeds to step S45, and if not, returns the process to step S42.

  In step S45, the automatic setting unit 32 sets the currently selected usage scene data 60 to “active usage scene data”, and ends the process.

  According to the present embodiment, even when a change in the usage scene of the terminal device 10 is accompanied by a time condition without a change in the positional condition, the priority of the conversion dictionary and the conversion are changed according to the change in the usage scene. It is possible to switch the priority of candidates and the display order of conversion candidates.

  Further, in this embodiment, an item of “time determination condition” is provided instead of the item of “region determination condition” in the first example described with reference to FIG. However, the conditions used to determine whether or not certain use scene-specific data 60 is defined for the current use scene of the terminal device 10 are the “region determination condition” and “time determination condition”. May be combined.

The following additional notes are further disclosed with respect to the embodiment including the above examples.
(Appendix 1)
A terminal device capable of accessing a plurality of conversion dictionaries storing conversion candidates corresponding to an input character string,
A priority list storage means for storing a plurality of priority lists defining priorities between the plurality of conversion dictionaries;
Based on a determination result of determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selecting means for selecting one of the plurality of priority lists according to the determined use scene;
A terminal device comprising: priority determining means for determining the priority of each conversion dictionary used for conversion of an input character string according to the priority between the conversion dictionaries defined in the selected priority list.

(Appendix 2)
The terminal device
It is possible to access a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
Learning means for causing the learning dictionary to learn the result of character string conversion performed on the input character string;
Conversion candidate determination means for determining conversion candidates for an input character string based on the result of the character string conversion stored in the learning dictionary;
A learning dictionary in which a result of character string conversion is learned by the learning unit and a result of character string conversion is referred to by the conversion candidate determination unit is determined according to the usage scene selected by the usage scene selection unit. Learning dictionary selecting means for selecting from the learning dictionary;
The terminal device according to Supplementary Note 1, comprising:

(Appendix 3)
The learning dictionary stores the priority of each conversion candidate determined according to the past use frequency of each conversion candidate in the conversion dictionary;
In accordance with the priority between the conversion dictionaries defined in the selected priority list, and the priority order of each conversion candidate stored in the selected learning dictionary, the terminal device selects from the plurality of conversion dictionaries. The terminal device according to attachment 2, further comprising priority order determination means for determining a priority order for displaying the obtained conversion candidates.

(Appendix 4)
A terminal device capable of accessing a plurality of learning dictionaries storing results of character string conversion for input character strings performed in the past,
Learning means for causing the learning dictionary to learn the result of character string conversion performed on the input character string;
Conversion candidate determination means for determining conversion candidates for an input character string based on the result of the character string conversion stored in the learning dictionary;
Based on a determination result of determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
A learning dictionary in which a result of character string conversion is learned by the learning unit and a result of character string conversion is referred to by the conversion candidate determination unit is determined according to the usage scene selected by the usage scene selection unit. Learning dictionary selecting means for selecting from the learning dictionary;
A terminal device comprising:

(Appendix 5)
The terminal device according to any one of appendices 1 to 4, wherein the preset condition is a condition related to a positional condition in which the terminal device is located and / or a temporal condition in which the terminal device is used.

(Appendix 6)
A computer program executed by a processing unit of a terminal device that can be used for a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, the processing unit comprising:
Based on a determination result of determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selection for selecting one of a plurality of priority lists that define the priority among the plurality of conversion dictionaries stored in the storage unit of the terminal device according to the determined use scene Priority determining means for determining the priority of each of the conversion dictionaries used for conversion of the input character string in accordance with the priority between the conversion dictionaries defined in the selected priority list;
A computer program that functions as a computer program.

(Appendix 7)
The terminal device can access a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
The computer program stores the processing unit,
Learning means for causing the learning dictionary to learn the result of character string conversion performed on the input character string;
Conversion candidate determination means for determining a conversion candidate for an input character string based on the result of the character string conversion stored in the learning dictionary, and a learning result of the character string conversion is learned by the learning means, and the conversion candidate determination means by the conversion candidate determination means A learning dictionary selecting means for selecting a learning dictionary to which the result of the character string conversion is referred, from among the plurality of learning dictionaries according to the use scene selected by the use scene selecting means;
The computer program according to appendix 6, which functions as:

(Appendix 8)
The learning dictionary stores the priority of each conversion candidate determined according to the past use frequency of each conversion candidate in the conversion dictionary;
The computer program determines the processing unit according to the priority between the conversion dictionaries defined in the selected priority list and the priority of each conversion candidate stored in the selected learning dictionary. The computer program according to appendix 7, which functions as priority order determining means for determining a priority order for displaying conversion candidates acquired from a plurality of conversion dictionaries.

(Appendix 9)
A computer program executed by a processing unit of a terminal device that can access a plurality of learning dictionaries that store a result of character string conversion for an input character string performed in the past, the processing unit comprising:
Learning means for causing the learning dictionary to learn the result of character string conversion performed on the input character string;
Conversion candidate determination means for determining conversion candidates for the input character string based on the result of the character string conversion stored in the learning dictionary;
Based on a determination result obtained by determining a preset condition, a usage scene selection unit that selects a usage scene currently used by the terminal device from a plurality of preset usage scenes, and a character string by the learning unit A learning dictionary in which the conversion result is learned and the conversion candidate determination unit refers to the character string conversion result is selected from the plurality of learning dictionaries according to the usage scene selected by the usage scene selection unit. Learning dictionary selection means,
A computer program that functions as a computer program.

(Appendix 10)
The computer program according to any one of appendices 6 to 9, wherein the preset condition is a condition related to a positional condition in which the terminal device is located and / or a temporal condition in which the terminal device is used.

(Appendix 11)
In a terminal device accessible to a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, a character string conversion method for converting an input character string to another character string,
Based on a determination result of determining a preset condition, a usage scene selection step of selecting a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selection for selecting one of a plurality of priority lists that define the priority among the plurality of conversion dictionaries stored in the storage unit of the terminal device according to the determined use scene Steps,
A priority determination step of determining the priority of each of the conversion dictionaries used for conversion of the input character string according to the priority between the conversion dictionaries defined in the selected priority list;
A character string conversion method comprising:

(Appendix 12)
The terminal device can access a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
The method
A learning dictionary selection step of selecting one of the plurality of learning dictionaries according to the usage scene selected in the usage scene selection step;
A learning step of causing the selected learning dictionary to learn a result of character string conversion performed on the input character string;
A conversion candidate determination step for determining a conversion candidate for the input character string based on the result of the character string conversion stored in the selected learning dictionary;
The character string conversion method according to claim 11, further comprising:

(Appendix 13)
The learning dictionary stores the priority of each conversion candidate determined according to the past use frequency of each conversion candidate in the conversion dictionary;
Conversion candidates acquired from the plurality of conversion dictionaries according to the priority between the conversion dictionaries defined in the selected priority list and the priority order of each conversion candidate stored in the selected learning dictionary The character string conversion method according to supplementary note 12, further comprising a priority order determining step for determining a priority order for displaying the characters.

(Appendix 14)
In a terminal device accessible to a plurality of learning dictionaries storing results of character string conversion for input character strings performed in the past, a character string conversion method for converting an input character string to another character string,
Based on a determination result of determining a preset condition, a usage scene selection step of selecting a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
A learning dictionary selection step of selecting one of the plurality of learning dictionaries according to the usage scene selected in the usage scene selection step;
A learning step of causing the selected learning dictionary to learn a result of character string conversion performed on the input character string;
A conversion candidate determination step for determining a conversion candidate for the input character string based on the result of the character string conversion stored in the selected learning dictionary;
A character string conversion method comprising:

(Appendix 15)
The character string conversion method according to any one of appendices 11 to 14, wherein the preset condition is a condition related to a positional condition in which the terminal device is located and / or a temporal condition in which the terminal device is used. .

It is a block diagram which shows the example of the hardware constitutions of the terminal device of an indication. It is a functional block diagram which shows the example of the functional block of the terminal device shown in FIG. It is a figure which shows the example of the data structure of a priority dictionary list. (A)-(D) is a figure showing the 1st example-the 4th example of a priority dictionary list. It is a figure which shows the 1st example of the data structure of the data according to utilization scene. (A)-(D) is a figure showing the 1st example-the 4th example of data according to use scene. It is a flowchart which shows the example of the character string conversion method of an indication. It is a flowchart which shows the 1st example of the automatic setting process of the data classified by use scene shown in FIG. It is a flowchart (the 1) which shows the example of the kana-kanji conversion process shown in FIG. It is a flowchart (the 2) which shows the example of the kana-kanji conversion process shown in FIG. It is explanatory drawing of the kana-kanji conversion process shown in FIG.9 and FIG.10. It is a figure which shows the 2nd example of the data structure of the data according to utilization scene. (A)-(C) is a figure showing the 5th example-the 7th example of data according to use scene. It is a flowchart which shows the 2nd example of the automatic setting process of the data classified by use scene shown in FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Terminal device 20 Kana-Kanji conversion program 21 Conversion dictionary 22 Learning dictionary 32 Automatic setting part 40 Japanese conversion part 41 Conversion candidate synthetic | combination part 42 Conversion candidate production | generation part 43 Conversion candidate storage area 50 Learning part 60 Data according to use scene 61 Priority dictionary list

Claims (11)

A terminal device capable of accessing a plurality of conversion dictionaries storing conversion candidates corresponding to an input character string,
The terminal device can access a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
The terminal device
A priority list storage means for storing a plurality of priority lists defining priorities between the plurality of conversion dictionaries;
Based on a determination result of determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Switching means for switching a priority list selected from the plurality of priority lists and a learning dictionary selected from the plurality of learning dictionaries as a set according to the selected usage scene;
Learning means for causing the selected learning dictionary to learn the result of the character string conversion performed on the input character string;
A first conversion candidate for the input character string is obtained based on the result of the character string conversion stored in the selected learning dictionary, a conversion candidate for the input character string is obtained from the plurality of conversion dictionaries, and is selected. Obtaining a second conversion candidate in which the conversion candidates obtained from the conversion dictionary are ordered according to the priorities between the conversion dictionaries defined in the priority list, and the second conversion candidate is obtained after the first conversion candidate. Candidate determination means for determining conversion candidates to be output by adding conversion candidates ;
A terminal device comprising: The learning dictionary stores the priority of each conversion candidate determined according to the past use frequency of each conversion candidate in the conversion dictionary;
In accordance with the priority between the conversion dictionaries defined in the selected priority list, and the priority order of each conversion candidate stored in the selected learning dictionary, the terminal device selects from the plurality of conversion dictionaries. The terminal device according to claim 1, further comprising priority order determination means for determining a priority order for displaying the obtained conversion candidates.   The terminal device according to claim 1, wherein the preset condition is a condition relating to a positional condition where the terminal device is located and / or a timing condition where the terminal device is used. A computer program executed by a processing unit of a terminal device that can be used for a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string,
The processing unit is capable of accessing a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
The computer program stores the processing unit,
Based on a determination result obtained by determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes; and a storage unit of the terminal device A priority list that is selected from a plurality of priority lists that respectively define priorities between the plurality of conversion dictionaries that are stored and a learning dictionary that is selected from the plurality of learning dictionaries are selected as the selected usage scenes. Switching means to switch according to the set,
Learning means for causing the selected learning dictionary to learn a result of the character string conversion performed on the input character string, and an input character based on the result of the character string conversion stored in the selected learning dictionary Obtaining a first conversion candidate for a string, obtaining a conversion candidate for an input character string from the plurality of conversion dictionaries, from the conversion dictionary according to a priority between the conversion dictionaries defined in the selected priority list Candidate determination means for determining a conversion candidate to be output by acquiring a second conversion candidate in which the acquired conversion candidates are ordered and adding the second conversion candidate after the first conversion candidate ;
A computer program that functions as a computer program. In a terminal device accessible to a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, a character string conversion method for converting an input character string to another character string,
The terminal device can access a plurality of learning dictionaries that store the results of character string conversion for input character strings performed in the past,
The character string conversion method is:
Based on a determination result of determining a preset condition, a usage scene selection step of selecting a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
A priority list selected from a plurality of priority lists each defining a priority between the plurality of conversion dictionaries stored in the storage unit of the terminal device, and a learning dictionary selected from the plurality of learning dictionaries, A switching step for switching in a set according to the selected usage scene;
A learning step of causing the selected learning dictionary to learn the result of the character string conversion performed on the input character string;
A first conversion candidate for the input character string is obtained based on the result of the character string conversion stored in the selected learning dictionary, a conversion candidate for the input character string is obtained from the plurality of conversion dictionaries, and is selected. Obtaining a second conversion candidate in which the conversion candidates obtained from the conversion dictionary are ordered according to the priorities between the conversion dictionaries defined in the priority list, and the second conversion candidate is obtained after the first conversion candidate. A candidate determination step of determining conversion candidates to be output by adding conversion candidates ;
A character string conversion method comprising: A terminal device capable of accessing a plurality of conversion dictionaries storing conversion candidates corresponding to an input character string,
A priority list storage means for storing a plurality of priority lists defining priorities between the plurality of conversion dictionaries;
A usage scene selecting means for selecting a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selecting means for selecting one of the plurality of priority lists according to the determined use scene;
Priority determining means for determining the priority of each of the conversion dictionaries used for conversion of the input character string in accordance with the priority between the conversion dictionaries defined in the selected priority list;
The usage scene selection means compares the usage scenes that are currently used as the currently used usage scenes with conditions set in advance from the usage scenes set in the plurality of usage scenes in the order of priority , and first uses that satisfy the conditions. A terminal device characterized by selecting a scene . Accepting means for accepting selection of a use scene by a user;
Setting means for setting which of the usage scene selection means and the reception means to select a usage scene;
The terminal device according to claim 6, further comprising: A computer program executed by a processing unit of a terminal device that can be used for a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, the processing unit comprising:
Based on a determination result of determining a preset condition, a usage scene selection unit that selects a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selection for selecting one of a plurality of priority lists that define the priority among the plurality of conversion dictionaries stored in the storage unit of the terminal device according to the determined use scene Priority determining means for determining the priority of each of the conversion dictionaries used for conversion of the input character string in accordance with the priority between the conversion dictionaries defined in the selected priority list;
Function as
The usage scene selection means compares the usage scenes that are currently used as the currently used usage scenes with conditions set in advance from the usage scenes set in the plurality of usage scenes in the order of priority , and first uses that satisfy the conditions. A computer program characterized by selecting a scene . The computer program stores the processing unit,
Accepting means for accepting selection of a use scene by a user;
Setting means for setting which of the usage scene selection means and the reception means to select a usage scene;
The computer program according to claim 8, wherein the computer program is made to function as: In a terminal device accessible to a plurality of conversion dictionaries that store conversion candidates corresponding to an input character string, a character string conversion method for converting an input character string to another character string,
Based on a determination result of determining a preset condition, a usage scene selection step of selecting a usage scene in which the terminal device is currently used from a plurality of preset usage scenes;
Priority list selection for selecting one of a plurality of priority lists that define the priority among the plurality of conversion dictionaries stored in the storage unit of the terminal device according to the determined use scene Steps,
A priority determination step for determining the priority of each of the conversion dictionaries used for conversion of an input character string according to the priority between the conversion dictionaries defined in the selected priority list;
The usage scene selection means compares the usage scenes that are currently used as the currently used usage scenes with conditions set in advance from the usage scenes set in the plurality of usage scenes in the order of priority , and first uses that satisfy the conditions. A character string conversion method characterized by selecting a scene . A reception step for accepting selection of a use scene by a user;
A setting step for setting which of the usage scene selection step and the reception step to select a usage scene;
The character string conversion method according to claim 10, further comprising:

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