JP5947451B2 - Drawing editor device, program - Google Patents

Description

  The present invention relates to a programmable controller system, and more particularly to a drawing editor device thereof.

  Programmable displays are generally connected to various connected devices such as the PLC main unit and temperature control device, etc., for numerical display and lamp items to display the status of these connected devices, and for users to give arbitrary instructions Displays an image of items such as switches. An item is also called a screen component or the like. Usually, images of a plurality of screen components (items) are displayed on the screen of the programmable display (referred to as an operation display screen).

  Data or the like for displaying such an operation display screen (referred to as screen data or the like) is arbitrarily created in advance by a developer or the like in a support device or the like and downloaded from the support device to a programmable display.

  The screen data includes, for each item, data such as an image of the item (switch image or lamp image), display position coordinates, and an address (assigned memory address) of a predetermined area of the external memory described later. ing. In addition, some programs may be included.

  The support device (drawing editor device or the like) displays a screen (referred to as a screen creation support screen) for allowing the user to create a desired operation display screen (its screen data). On this screen creation support screen, the user makes settings / inputs related to the above items (such as character strings used in nameplates such as switches and lamps), or character strings such as arbitrary words and sentences. To enter text.

  In addition, the display control which concerns on the said operation display screen in a programmable display is implement | achieved by performing a predetermined process regularly for every said item, for example. Predetermined processing refers to, for example, reading storage data in a predetermined storage area (that is, storage data in a predetermined allocation memory area) of a predetermined memory device (referred to as an external memory) in a predetermined connected device related to the item. It is processing to issue. Furthermore, a process for determining / displaying the display content of an item based on the stored data (display content refresh process) or the like. Note that the process of reading the stored data in the predetermined allocated memory area) is generally a process of accessing the external memory, and therefore may be referred to as an external memory access process.

The connected device updates the stored data in a predetermined area of the external memory as needed (for example, the temperature measurement value is updated as needed in the temperature control device).
Here, the prior art described in Patent Document 1 is known.

The invention of Patent Document 1 relates to a ladder diagram editing device for editing a ladder diagram for program development of a programmable control device. This ladder diagram editing apparatus has the following configuration.
A search execution unit for searching for a specific character string included in the ladder diagram program;
A search condition input unit for inputting a character string related to the search to the search execution unit;
・ Ladder lines including character strings retrieved from the ladder diagram program by the search execution unit are extracted, and the ladder diagrams of the ladder lines are graphically displayed in a list, and other ladder lines are substantially hidden. A search result graph display section;
Japanese Patent Laid-Open No. 2005-92806

Here, it is desired to reduce the work load such as the work of inputting a character string such as an arbitrary word or sentence described above.
Conventionally, each character string such as various words and sentences has been manually input one by one. Alternatively, it was copied by searching for a copy source that uses the character string to be input.

  On the other hand, for example, in a search engine on the Web, when a part of a word (for example, about the first few characters) is input, a candidate list of words including the input character is displayed. When a desired word is present in the list display, the user selects this word. In this way, a service (word search function) that reduces the input work burden on the user is provided on the Web, for example.

  However, it is not sufficient to simply divert the existing word search function to the support device. That is, the character string that the user inputs text in the support device is often a technical term. This technical term is often a technical term (such as an industry term) in the field (industry) where the programmable display is installed. For example, there are various industries that can serve as installation locations of programmable display devices such as FA (factory automation) industry, printing industry, food industry, and fishery industry.

  For this reason, in the case where the arbitrary character string is input as text in the support device in the creation of the screen data, the existing word search function cannot cope with the industry term. In addition, the corresponding industry terminology differs depending on which site each programmable display using the created screen data is installed. Also, technical terms are often mistranslated.

  An object of the present invention is a drawing editor device that supports the input of various data for each programmable display, and can present appropriate term candidates even when inputting a particular technical term in particular. The object is to provide a drawing editor device, its program, etc. that can reduce the input work burden.

The drawing editor apparatus of the present invention is a drawing editor apparatus for inputting an arbitrary term relating to an arbitrary programmable display, and has the following configurations.
-Industry switching means for determining a predetermined industry each time from multiple industries;
A selection candidate term determining unit that, when an arbitrary character string is input, determines a term including the input character string as a selection candidate term from a group of terms related to the predetermined industry determined by the industry switching unit;
A candidate display / selection unit for displaying a list of the selection candidate terms determined by the selection candidate term determination unit and selecting an arbitrary selection candidate term;
A term determining means that uses the selected selection candidate term as an input term;

It is a schematic block diagram of the whole system containing the programmable display of this example. It is a hardware structural example of the programmable display of this example. It is a hardware structural example of a drawing editor apparatus. It is a software block diagram of this system. It is a functional block diagram (No. 1) (1/2) of the drawing editor device of this example. It is a functional block diagram (the 1) (2/2) of the drawing editor apparatus of this example. It is a functional block diagram (No. 2) (1/2) of the drawing editor apparatus of this example. It is a functional block diagram (the 2) (2/2) of the drawing editor apparatus of this example. It is a whole processing flowchart figure (1/3) of the input auxiliary part of a drawing editor. It is a whole processing flowchart figure (2/3) of the input assistance part of a drawing editor. It is a whole processing flowchart figure (3/3) of the input assistance part of a drawing editor. It is an example of a data structure of a database, and an example of data storage. It is an example of a data structure of a user dictionary, and an example of data storage. It is an example of search result data. It is a data structural example and data storage example of candidate data. It is a detailed flowchart figure of the user dictionary search process of step S14. It is a basic flow of the dictionary search process of step S15. It is a detailed flow of step S42 or S44 of FIG. It is a detailed flow (1/4) of the candidate character string process of step S16. It is a detailed flow (2/4) of the candidate character string process of step S16. It is a detailed flow (3/4) of the candidate character string process of step S16. It is a detailed flow (4/4) of the candidate character string process of step S16. It is a detailed flow of the process of step S21 by a dictionary switching process part. It is a detailed flow of the process of step S22 by a user dictionary registration process part. It is a processing flowchart figure (1/2) of a translation processing part. It is a process flowchart figure (2/2) of a translation process part. It is a functional block diagram of the drawing editor apparatus of this example.

Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a schematic configuration diagram of the entire system including the programmable display 1 of this example.
The configuration shown in FIG. 1 is an example, and the present invention is not limited to this example. For example, the configuration in which the programmable display device 1 is not necessarily connected to the drawing editor device 5 via the communication line 3 may be used. The programmable display 1 and the drawing editor device 5 may exist separately. However, even in that case, the “screen data” arbitrarily created on the drawing editor device 5 side by some method is stored in the programmable display 1 and the operation display screen is displayed.

  The programmable controller system shown in FIG. 1 includes various connection devices 4 and a programmable display 1 that is connected to the various connection devices 4 via a communication line 6. Furthermore, as an example, the programmable display device 1 may be configured to be connected to the drawing editor device 5 via the communication line 3. The programmable display 1 is provided with a plurality of communication interfaces 2 (communication ports), and is connected to various connection devices 4 and the drawing editor device 5 by the communication line 3 / communication line 6 connected to each communication interface 2. ing.

  The drawing editor device 5 corresponds to the support device in the background art (hereinafter, also referred to as the support device 5), and data for displaying the operation display screen on the programmable display 1 Etc. (screen data) have a function to support the user to create arbitrarily. In this example as well, various item images are prepared in advance, and the user selects a desired item image and places it at a desired position (in addition to the above-described operations such as memory allocation, The screen data creation is repeated by repeating the above process.

  In the drawing editor device 5, the user can arbitrarily input an arbitrary word, a sentence or a character string (herein referred to as a “term”), etc. associated with the creation of the screen data. Heretofore, as described above, the user basically has to input all the character strings of the desired “term”. On the other hand, in the drawing editor device 5 of this example, the user inputs only a part of a desired “term” character string, and selects a desired “term” from the presented “term” candidates. Just select it. That is, the work burden of inputting a desired “term” is reduced. Details will be described later.

  In this description, “terms” (words, sentences, sentences, etc.) that are arbitrarily input by the user will be described using word input as an example. From this, it is assumed that the registered data and the display of the “term” candidate are words, but this is only an example, and not only this example but also a sentence or a sentence may be used. Further, as described above, here, “term” is defined to include not only words but also sentences and sentences.

FIG. 2 is a hardware configuration example of the programmable display device 1 of this example.
The hardware configuration of the programmable display 1 may be a general one. Therefore, a brief description will be given below. Note that the programmable display 1 has a function of displaying a screen (operation display screen) based on the above-described screen data and the like in substantially the same manner as the above-described conventional example.

The illustrated programmable display 1 includes a display operation control device 10, a touch panel 18, a display 19, the communication interface 2, and the like.
The display operation control device 10 includes a CPU 11, a ROM 12 (flash memory or the like), a RAM 13, a communication controller 14, a graphic controller 15, a touch panel controller 16, and the like, which are connected to a bus 17.

  A predetermined application program is stored in advance in the ROM 12 (flash memory or the like), and screen data downloaded from the drawing editor device 5 is stored. When the CPU 11 executes this application program (and further uses screen data), the above-described operation display screen display, update (the refresh process), and the like are realized. The operation display screen is displayed on the display 19 by the graphic controller 15.

The drawing editor device 5 is realized by, for example, a general general-purpose computer (such as a personal computer).
FIG. 3 shows an example of the hardware configuration of the drawing editor device 5, for example, the configuration of the general-purpose computer (such as a personal computer).

  That is, the drawing editor device 5 includes, for example, an arithmetic processor such as a CPU 21, a memory 22, a storage device 23 such as a hard disk, an operation unit 24 such as a keyboard and a mouse, a display unit 25 such as a display, a communication unit 26, and a recording medium drive unit. 27 etc. These are connected to the bus 28.

  A predetermined application program is stored in the storage device 23 in advance, and various functions of the drawing editor device 5 are realized by an arithmetic processor such as the CPU 21 executing the application program. For example, the functions of functional block diagrams such as FIGS. 5 to 8 described later and the processing functions of the flowcharts are realized.

  Further, the recording medium driving unit 27 performs access (data read / write) to a portable recording medium 29 such as a CR-ROM, a DVD-ROM, or a memory stick. The application program may be recorded on a portable recording medium 29.

  In addition, regarding the input of the desired “term” related to this method, for example, a text input screen (not shown) is displayed on the display unit 25, and a developer or the like operates the operation unit 24 on the input screen. Then, an operation of inputting a desired “term” is performed. The communication unit 26 is configured to communicate with an external computer (such as a Web server) by connecting to, for example, a LAN or the Internet. In the case of a configuration example such as FIG. 7 described later, communication with an external server device (not shown) or the like is performed, and a database 80 (described later) of the external server device is accessed to obtain desired data.

FIG. 4 shows a software configuration diagram of the system.
In the programmable display 1, various programs / data such as a main body program 31, screen data 32, and communication program 33 are stored in the ROM 12 (flash memory or the like), for example. When the CPU 11 reads / executes / references these programs / data and the like, display control of the operation display screen (screen) for the programmable display is performed.

  The CPU 11 executes the main body program 31 and the like, and realizes the display of the operation display screen based on the screen data 32 and the like. At that time, on the operation display screen, the above items (each screen component), the character string of the “term”, and the like are displayed.

  The screen data 32 is, for example, a screen data file 42 that is arbitrarily created in advance on the drawing editor device 5 side and downloaded to the programmable display device 1 and stored therein. That is, the screen data 32 and the screen data file 42 are substantially the same, and may be described without distinction from each other (for example, the screen data 32 (42) may be described). ).

  The communication program 33 is also a part of the communication program file 43 stored in advance on the drawing editor device 5 side, for example, downloaded to the programmable display device 1 and stored. The communication program file 43 may be regarded as comprising a plurality of (many) communication programs 33. The communication program 33 of the programmable display device 1 is a program for communicating with the connection device 4 via the communication line 6.

  The drawing editor device 5 includes a drawing editor 41. This drawing editor 41 has a support function that allows the user to create screen data 32 (42) (operation display screen) for an arbitrary programmable display. Although its basic function may be substantially the same as the conventional one, the drawing editor 41 of this example further includes a function for supporting an input operation of an arbitrary “term” by the user.

  5 and 6 are (1/2, (2/2)) of the functional block diagram (part 1) of the drawing editor device 5 (the drawing editor 41) of this example. It shall be written as FIG.

  7 and 8 are (1/2, (2/2)) of the functional block diagram (part 2) of the drawing editor device 5 (the drawing editor 41) of this example. It shall be written as FIG.

  The difference between the configuration of FIG. 5 and the like and the configuration of FIG. 7 is the location of the database and the translation API (application program interface). That is, a database that stores in advance technical terms (eg, “industry terms” etc.) for each industry exists in the drawing editor device 5 in FIG. 5 and the like, and in an external server device in FIG. On the cloud). The translation API is also stored in the drawing editor device 5 in FIG. 5 and the like, and is stored in an external server device (on the cloud) in FIG.

First, FIG. 5 and the like will be described.
In the example of FIG. 5 and the like, the drawing editor device 5 (the drawing editor 41) includes the input auxiliary unit 50 and the like (may further include a translation unit 70).

  The input auxiliary unit 50 in the example of FIG. 5 has a database 60 and a user dictionary 57. The database 60 is a database that stores technical terms (industry terms) for each industry in advance, and is stored and managed in the drawing editor device 5 in the example of FIG. As described above, here, a word that is an example of the “term” will be described as an example. Therefore, the industry term is also a word.

  In the user dictionary 57, “terms” (“words” in the present description) previously input by the developer or the like are registered. In this example, basically, the user dictionary registration processing unit 52 automatically registers. In the user dictionary 57, a word registered in the database 60 may be registered, or a word not registered in the database 60 may be registered. Details will be described later.

  The input auxiliary unit 50 includes processing function units such as an input processing unit 51, a user dictionary registration processing unit 52, a user dictionary search processing unit 53, a dictionary search processing unit 54, a dictionary switching processing unit 55, and a candidate character string processing unit 56. . Further, search result data 58, candidate data 59, and the like are temporarily generated by the processing of these processing function units.

  The input processing unit 51 displays, for example, the above text input screen (not shown) on the display unit 25 and allows a user such as a developer to input a character string of a desired “term” (here, “word”). Enter the part. Then, the input character string is transferred to another processing function unit (for example, the user dictionary search processing unit 53 or the dictionary search processing unit 54). Note that the developer or the like may input all the desired “word” character strings (unregistered words, etc.). In this case, no word candidate is presented.

  The user dictionary search processing unit 53 searches the user dictionary 57 using the character string passed from the input processing unit 51, extracts a corresponding word, etc., and temporarily stores it as search result data 58. The corresponding word is a word whose partial character string is the same as the character string input by the user. In other words, the corresponding word is a word including the character string input by the user.

  The dictionary search processing unit 54 searches the database 60 using the character string passed from the input processing unit 51, extracts a corresponding word, and temporarily stores it as search result data 58. The meaning of the “corresponding word” has already been described. The database 60 may be regarded as a database group for each industry. The dictionary search processing unit 54 may search only a database in a specific industry each time. Details will be described later.

  The candidate character string processing unit 56 generates candidate data 59 based on the processing results (search result data 58) by the user dictionary search processing unit 53 and the dictionary search processing unit 54 (determining candidate words and selecting candidates) Temporarily stored as data 59). At this time, only the processing result (“corresponding word”) relating to a specific industry determined each time may be used as the processing result by the dictionary search processing unit 54. Details will be described later.

Further, the candidate character string processing unit 56 displays a list of the candidates (candidate words) as candidates based on the generated candidate data 59.
Thus, the input auxiliary unit 50 causes the user to select and input an arbitrary word from the candidate word group displayed in the list, for example, via the input processing unit 51 or the like. However, the present invention is not limited to this example. For example, when there is no user-desired word in the candidate word group, the user may manually input all character strings of the desired word. In any of these selection / input and manual input, a user-desired word is determined by a user operation. That is, one word input operation is completed, but the following post-processing may be further performed thereafter.

  That is, the dictionary switching processing unit 55 designates a specific industry based on the determined word. Thus, in the next processing (processing when a part of the character string of the next desired word is input), for example, the dictionary search processing unit 54 searches only the specified specific industry database. And

  Note that the database 60 may be regarded as comprising a plurality of databases corresponding to a plurality of industries. For example, in the example of FIG. 5 and the like, the database 60 is classified into each of four types of industries: FA industry (FA term) database, printing industry (print term) database, food industry (food term) database, and fishery industry (fishery term) database. Consists of databases. In this processing, as an example, it is possible to consider that only one predetermined database is a search processing target each time among the databases for each industry. And the process of the said dictionary switching process part 55 can also be called the process which switches the database made into search processing object dynamically according to a condition.

The above “according to the situation” is, for example, “according to the determined word (the industry) each time”, but is not limited to this example.
Here, if the determined word is not registered in the database 60, the specific industry is not designated. As described above, the database 60 is composed of databases for each industry, so if it is a word registered in the database 60, it is possible to determine which industry word (such as technical terms) the word is. is there.

Further, when the determined word is not registered in the user dictionary 57, the user dictionary registration processing unit 52 newly registers the determined word in the user dictionary 57.
The translation unit 70 includes a translation processing unit 71. For example, the translation processing unit 71 translates a word registered in the user dictionary 57 according to an instruction from the user, for example. This translation processing is performed using, for example, a translation API (application programming interface) 72. In the example of FIG. 5 and the like, the translation API 72 is stored in the drawing editor device 5 as described above. The translation target is not limited to words registered in the user dictionary 57. However, it is desirable that an English translation of the word already exists for the reason described later. Details will be described later.

  Next, FIG. 7 and the like will be described. As described above, the input auxiliary unit 50 is different from FIG. 5 in that the database 80 of the external server (cloud) is used instead of the database 60. Accordingly, the processing function units 51, 52, 53, 54, 55, 56 and the temporarily generated data 58, 59 are denoted by the same reference numerals, and the description thereof is omitted. Note that, for example, the dictionary search processing unit 54 in FIG. 7 needs to communicate with an external server device. Therefore, strictly speaking, the dictionary search processing unit 54 is different from the dictionary search processing unit 54 in FIG. The following description will be made without any particular distinction. That is, in the following description, the term “dictionary search processing unit 54” may mean the dictionary search processing unit 54 in FIG. 7 or the dictionary search processing unit 54 in FIG. There may be. The same applies to other processing function units.

  Further, the translation unit 70 is different from the configuration of FIG. 5 and the like in that a translation API 73 on an external server device (not shown) is used instead of the translation API 72 in the own device. Accordingly, the translation processing unit is denoted by the same reference numeral “71”, and the description thereof is omitted.

  The translation API 72 and the translation API 73 may be existing translation software. Software (or a service on a Web server) that translates into technical languages such as English, Chinese, Thai, etc. already exists for technical terms related to the FA industry and the like. However, when translating from Japanese to an arbitrary language, especially when Japanese is a unique expression, correct translation is often not expected.

  In the following description, only the database 60 is basically described, but only the database 80 is omitted. That is, the database 60 in the following description means the database 60 or the database 80. Similarly, the translation API 72 in the following description means the translation API 72 or the translation API 73.

  9, 10, and 11 are flowcharts (1/3), (2/3), and (3/3) of the overall processing of the input auxiliary unit 50 of the drawing editor 41. Hereinafter, FIG. 9, FIG. 10, and FIG. 11 will be referred to as FIG.

  As shown in FIG. 9 and the like, the input auxiliary unit 50 of the drawing editor 41, for example, when the user inputs an arbitrary character string by the input processing unit 51 (a character string in the middle of inputting a desired word) (YES in step S11). When the number of characters in this character string is 1 (step S12, NO), the candidate list display by this method is not performed (step S13).

  On the other hand, if the number of characters in the input character string by the user is two or more (step S12, YES), first, candidate words are extracted from the database 60 and the user dictionary 57. That is, first, the user dictionary search processing unit 53 searches the user dictionary 57 for a word (candidate word) including the input character string (step S14). A detailed flowchart of step S14 is shown in FIG. 16, and will be described in detail later.

Note that the processing in steps S12 and S13 may not be performed (an example in which a candidate is displayed even if there is only one character is shown later).
Subsequently, the dictionary search processing unit 54 searches the database 60 for a word (candidate word) including the input character string (step S15). A detailed flowchart of step S15 is shown in FIG. 17 and will be described in detail later.

  Then, based on the processing results of steps S14 and S15, the candidate character string processing unit 56 generates the candidate data 59 and displays a list of candidate words based on the candidate data 59 (step S16). However, the candidate words obtained in step S15 are not necessarily displayed as a list. For example, only candidate words related to the industry determined by a predetermined process are displayed in a list each time.

  Or you may be a form which does not perform the process of said step S14, and the list display of the candidate word obtained by it. That is, in this embodiment, candidate words are extracted and displayed in a list by using only the database 60 without using the user dictionary 57.

Detailed flowcharts of step S16 are shown in FIGS. 19 to 22 and will be described in detail later.
Here, in the illustrated example, the user inputs “resistance”. As examples of the candidate words for this input, “noise resistance”, “endurance shock”, “surge resistance voltage”, and “vibration resistance” are listed. Among these, “noise resistance” is acquired from the user dictionary 57 in step S14. The “endurance shock”, “surge resistance voltage”, and “vibration resistance” are acquired from the database 60 in step S15.

  For example, the industry type of “surge withstand voltage” is “FA” in the illustrated example. Therefore, in this example, if the word determined in step S18 described later is “surge withstand voltage”, “FA” becomes the designated industry in the processing of step S21 described later. As a result, in step S15 of the next main process, the database 60 searches the word group related to “FA”.

  The user selects this word if there is a desired word in the list of candidate words. If there is no desired word, the user selects the remaining arbitrary character string (in the above example). The character string following “Tolerance” is manually entered. There may be a case where the input operation is interrupted.

  When the user selects an arbitrary word from the candidate word list (step S17, YES), the selected word is confirmed as an input word (step S18), and the industry type of the input word is determined. Is discriminated (step S19). In the example shown in the figure, “surge withstand voltage” is selected, so the industry type is “FA” (can be determined from “industry type 61” in the example of FIG. 12 described later). Then, the list display of the candidate words is terminated (step S20).

  On the other hand, when the user manually inputs all the character strings of the desired word and confirms the input (step S23, YES), this word (input word) is passed to the dictionary search processing unit 54. Then, the dictionary search processing unit 54 searches the database 60 for a word (corresponding word) that includes (or is identical to) the input word in substantially the same manner as in step S15. This is obtained by searching the corresponding word for each industry-specific database constituting the database 60. Then, the number of the corresponding words is counted for each industry (step S24). Then, the industry type having the largest number of corresponding words is determined (the industry type is determined) (step S25).

The industry type determined in either step S19 or step S25 is transferred to the dictionary switching processing unit 55, and the process of step S21 described later is performed.
If the user interrupts the input of the character string halfway (step S23, NO), this process is terminated.

  If there are a plurality of industry types having the largest number of corresponding words in step S25, the industry type is determined according to a predetermined rule (for example, a smaller management No. 65 described later is given priority). Make a decision. In addition, when the number of relevant words is “0” in all industry types, there is no designation. In this case, in the next main processing, the determination in step S41 described later is NO.

  Then, the dictionary switching processing unit 55 determines the industry type determined in any one of the above steps S19 and S25, for example, the industry type to be searched in the database 60 in the next main process by the process of FIG. (Step S21). Details will be described later with reference to FIG.

  Finally, the user dictionary registration processing unit 52 performs processing for registering the “input word” (the word determined in step S18 or the word determined when step S23 becomes YES) in the user dictionary 57 ( Step S22). A detailed example of this processing is shown in FIG. 24 and will be described later.

Hereinafter, the processing of each of the detailed flowcharts will be described with reference to FIG. At that time, FIG. 12, FIG. 13, FIG. This will be described using the data configuration example shown in FIG.
First, FIG. 16 is a detailed flowchart of the user dictionary search process in step S14.

  In the example of FIG. 16, first, the search result data 58 is initialized (stored data is deleted) (step S31). And the process of step S32-S36 is repeatedly performed by making all the words registered into the user dictionary 57 into a process target sequentially.

Here, FIG. 13 shows a data configuration example and a data storage example of the user dictionary 57.
The user dictionary 57 in the example shown in FIG. 91, Word 92, Reading 93, English notation 94, "Chinese; Simplified notation" 95, "Chinese; Traditional notation" 96, Korean notation 97, Thai notation 98, Vietnamese notation 99, etc. Have Among these, “Chinese; simplified Chinese notation” 95 to Vietnamese notation 99 store the processing results of the translation processing unit 71 described later, and will be described later. Only 91, word 92, reading 93, and English notation 94 will be described.

  The word 92 is a word registered in the user dictionary 57. For example, the word selected / confirmed by the user in steps S17 and S18 or the word confirmed in the case where the step S23 is YES (all the users A word in which a character string is input).

  Management No. 91 is an identification number / symbol assigned when each word 92 is registered (for example, a serial number). However, the present invention is not limited to this example. 91 is a management number of each word 92 in the database 60. 65 may be sufficient. However, even in this case, an arbitrary number / symbol or the like is assigned to the word 92 not registered in the database 60 (however, it is desirable to assign a number / symbol that is not used as the management No. 65). In addition, the management No. 65 are preferably assigned so as not to overlap each other. However, the present invention is not limited to this example.

The reading 93 is how to read the word 92 (such as hiragana), and the English notation 94 is an English translation of the word 92.
In the case where the word 92 is “the word in which the user has input all character strings”, basically, no data is stored in the reading 93 and the English notation 94. Among the data storage examples shown on the upper and lower sides of the figure, the management No. A record in which 91 is “2” corresponds to this case.

  On the other hand, in the case where the word 92 is the word selected and confirmed in steps S17 and S18, this is the word stored in the database 60. Therefore, in this case, the reading 63 and the English notation 64 described later of the database 60 are copied to the reading 93 and the English notation 94, respectively, by the process of step S22. Among the data storage examples shown on the upper and lower sides of the figure, the management No. A record whose 91 is “1” corresponds to this case.

FIG. 14 shows a data configuration example and data storage example of the search result data 58.
The search result data 58 in the illustrated example includes the industry type 101, the number of hits 102, the hit management number. 103 data items.

  For each industry type 101 (including the user dictionary 57), the number of “corresponding words” described later is stored in the number of hits 102. Furthermore, the identification information (for example, the management number) of the “corresponding word” is the corresponding management number. 103.

  In general, with respect to the database 60, a “corresponding word” to be described later is obtained from a database for each industry (a group of technical terms for each industry, etc.), and the management No. No. 65 etc. And the number of “corresponding words” is stored in the number of hits 102. In addition, regarding the user dictionary 57, a “corresponding word” to be described later is obtained, and a management number of “corresponding word” is set. No. 91 etc. And the number of “corresponding words” is stored in the number of hits 102. Details will be described later.

  Here, in the processing of steps S32 to S36 in FIG. 16, first, an arbitrary word 92 to be processed is acquired from the user dictionary 57 (step S32), and the user is inputting into the acquired word 92. Is determined (step S33). For example, if the word 92 to be processed is “noise resistance”, the input character string “resistance” is included.

  If the word 92 to be processed includes the input character string (if the word 92 to be processed is the “corresponding word”) (step S33, YES), the search result data 58 includes the industry. The number of hits 102 in the record (corresponding record) whose type 101 is “user” is incremented by +1 (step S34). Furthermore, the corresponding management number of this corresponding record. In the column 103, the management number corresponding to the word 92 to be processed is displayed. 91 is additionally stored (step S35). Then, the process proceeds to step S36.

Note that the number of hits 102 is “0” by the initialization process in step S31.
On the other hand, when the input character string is not included in the word 92 to be processed (step S33, NO), nothing is performed and the process proceeds to step S36.

If the process of said step S32-S36 is performed about all the words (all the records) registered in the user dictionary 57 (step S36, YES), this process will be complete | finished.
By executing the processing of FIG. 16 and the processing of FIG. 17 and FIG. 18 described later, the search result data 58 stores, for example, data as shown on the upper and lower sides of FIG. That is, for each industry type 101, the number of “corresponding words” in the database related to the industry is stored in the number of corresponding cases 102, and the identification information (management number, etc.) of each “corresponding word” Applicable management No. 103. In the illustrated example, if the industry type 101 is “FA”, the corresponding management No. 103 includes five management numbers “2, 3, 9, 21, 22”. Therefore, naturally, “5” is stored in the number of hits 102.

  Next, a detailed example of the dictionary search process in step S15 will be described with reference to FIGS. FIG. 17 is a basic flow of the dictionary search process in step S15, and FIG. 18 is a detailed flow of step S42 or S44 in FIG.

First, in FIG. 17, it is determined whether or not the industry has been designated (step S41).
This is stored by designating an arbitrary industry (one of various industries such as FA, printing, food, etc.) by the process of step S21 in the past (previous etc.) processing of FIG. If YES, the determination in step S41 is YES. In this case, a dictionary search process is executed by searching only the data related to the specified industry in the database 60 (step S42). As described above, a detailed example of the dictionary search process is shown in FIG. 18 and will be described later.

  On the other hand, if the industry has not been designated (step S41, NO), the dictionary search process is executed for each industry sequentially. That is, an arbitrary industry among the industries is designated as a search processing target (step S43). Then, the dictionary search process is executed by searching only the data related to the industry designated in step S43 in the database 60 (step S44). As described above, a detailed example of the dictionary search process is shown in FIG. 18 and will be described later.

  If there is an unprocessed industry (NO in step S45), the process returns to step S43 to determine the next process target industry. When the dictionary search process in step S44 has been executed for all industries (step S45, YES), the process exits from the loop and ends.

Hereinafter, the example of the dictionary search process shown in FIG. 18 will be described.
In the process of FIG. 18, in any of the above steps S42 and S44, only the industry database specified in the database 60 is searched, and the industry data (registered words, etc.) of the search target is sequentially acquired. (Step S51), the processing after Step S52 is repeated using the acquired data.

Here, a specific example of the database 60 will be described.
FIG. 12 shows a data configuration example and data storage example of the database 60.
The database 60 in the illustrated example includes an industry type 61, a word 62, a reading 63, an English notation 64, a management number. It consists of 65 data items.

  An arbitrary word is registered in the word 62, the reading of the word 62 (Hiragana) is registered in the reading 63, and the English translation of the word 62 is registered in the English notation 64. Further, the industry related to the word 62 (in which industry the technical term is) is stored in the industry type 61. Each word is assigned a unique identification number (in this case, a management number) at the time of registration in the database 60. In 65, an identification number corresponding to the word 62 is stored.

Returning to the description of FIG.
The process of step S51, that is, the process of sequentially acquiring the industry data to be searched is, for example, the process of sequentially acquiring the record data (word 62, etc.) whose industry type 61 is the industry to be searched. For example, when the industry to be searched is “FA”, the data (word 62 and the like) of records in which the industry type 61 is “FA” in the database 60 are sequentially acquired.

  Then, it is determined whether or not the word 62 (word to be processed) acquired in step S51 includes a character string (in the above example, “resistant”) being input by the user (step S52). For example, when the word to be processed is “noise resistance”, the input character string “resistance” is included.

  If the input target character string is included in the processing target word 62 (in the case of “corresponding word”) (step S52, YES), the industry type 101 in the search result data 58 is “ The number of hits 102 in the record (corresponding record) that is “search industry” is incremented by +1 (step S53). Furthermore, the corresponding management number of this corresponding record. In the column 103, the management number of the word 62 to be processed is displayed. 65 is additionally stored (step S54). Then, the process proceeds to step S55.

On the other hand, when the input character string is not included in the word 62 to be processed (step S52, NO), the process proceeds to step S55 without performing anything.
When the processes in steps S51 to S55 are executed for all words registered in the database 60 regarding the industry to be searched (step S55, YES), this process ends.

  When the dictionary search process is the process of step S44, if there is an unprocessed industry, the process returns to step S43 to specify a new industry. The process of S55 is executed.

  In addition, according to each process, the corresponding management No. In the column 103, the candidate word management No. Will be stored. This can be said that the search result data 58 stores candidate words (candidate word group).

Next, a detailed example of the candidate character string processing in step S16 will be described.
19, 20, 21, and 21 are detailed flows (1/4), (2/4), (3/4), and (4/4) of the candidate character string processing in step S16. In the following description, these drawings are referred to as FIG.

In the processing example of FIG. 19 and the like, first, the candidate data 59 is initialized (all data is deleted) (step S61).
Here, FIG. 15 shows a data configuration example and a data storage example of the candidate data 59.

The candidate data 59 in the example shown in FIG. 111, word 112, reading 113, English notation 114, and industry type 115.
Candidate data 59 is a word that is a selection candidate corresponding to the input character string (hereinafter may be referred to as a selection candidate word).

  Each data of the candidate data 59 is data stored by this processing (the processing of FIG. 19 and the like) based on the search result data 58. The word 112 is the selection candidate word. As will be described later, each word 112 is presented to the user as an option. It should be noted that all candidate words in the search result data 58 may be selection candidate words, but there are other cases (some candidate words become selection candidate words).

  The reading of the word 112 (Hiragana) is stored in the reading 113, and the English translation of the word 112 is stored in the English notation 114. Further, the identification information of the word 112 (the above management number or serial number) is the candidate number. 111. The industry related to the word 112 is stored in the industry type 115.

Returning to FIG.
When the candidate data 59 is initialized in the process of step S61, a process of storing new data (the selected candidate word or the like) in the candidate data 59 based on the search result data 58 or the like is performed.

  That is, first, processing for storing the candidate word and the like related to the user dictionary 57 in the candidate data 59 as the selection candidate word is performed. First, it is confirmed whether or not the number of hits 102 of the record (corresponding record) in which the industry type 101 is “user” in the search result data 58 is zero. If it is zero (step S62, NO), the process proceeds to step S65 and subsequent steps.

  On the other hand, when the number of hits 102 of the relevant record is one or more (step S62, YES), the relevant management number. The management No. stored in 103 Are acquired sequentially. And the acquired management No. Is obtained from the user dictionary 57 (a candidate word relating to “user” is obtained), and the obtained candidate word is additionally stored in the candidate data 59 as the selected candidate word (step S63). ). That is, the acquired management No. Is used to search the user dictionary 57 to obtain the corresponding record (the record that is the same as the management number acquired by the management number 91). And the management No. of the corresponding record. 91, a word 92, a reading 93, and a copy of English notation 94 are stored in the candidate data 59 (a new record candidate No. 111, a word 112, a reading 113, and an English notation 114). Further, “user” is stored in the industry type 115.

In addition, candidate No. 111 includes the management No. Instead of 91, for example, serial numbers may be stored in the order of registration.
The corresponding management No. All the management numbers stored in 103. When the process of step S63 is executed (step S64, YES), the process proceeds to step S65 and subsequent steps.

The processes of steps S65 to S74 are processes for determining a selection candidate word from the candidate words related to the database 60 and additionally storing the selection candidate word in the candidate data 59.
As described above, all candidate words related to the database 60 may be selected candidate words.

  First, determine the industry to process. First, it is determined whether or not an arbitrary industry has been designated (step S65). When an arbitrary industry is designated and stored by the process of step S21 in the previous main process, the determination in step S65 is YES. Then, the designated industry is set as a processing target (step S66).

  On the other hand, when the industry has not been designated (step S65, NO), the industry to be processed is determined based on the search result data 58 and the like (step S67). For example, the industry type 101 of the record having the largest number of hits 102 in the search result data 58 (however, “user” is excluded) is determined as the industry to be processed.

  Basically, candidate words related to the industry to be processed are stored in the candidate data 59 as the selection candidate words. When step S65 is YES, step S41 should be YES, and all candidate words related to the database 60 should be stored in the candidate data 59 as the selection candidate words. . On the other hand, when step S65 is NO, some candidate words in the candidate word group related to the database 60 are stored in the candidate data 59 as the selected candidate words.

  Through the processes in steps S69 to S74, the candidate words related to the processing target industry are stored in the candidate data 59 as the selection candidate words. However, before that, it is checked whether or not there is a candidate word particularly for the industry determined in step S66 (step S68). That is, in the search result data 58, it is confirmed whether or not the number of hits 102 in the record (corresponding record) in which the industry type 101 is “the industry type to be processed” is zero. If it is zero (step S68, NO), the processing of steps S69 to S74 is not executed. Alternatively, the process may be restarted from step S41 after the designated industry is forcibly set. Of course, if the number of hits 102 in the hit record is 1 or more (step S68, YES), the processing of steps S69 to S74 is executed.

  That is, first, the corresponding management No. of the corresponding record in the search result data 58 is recorded. One or more management numbers stored in 103. Are acquired sequentially. And the management No. Each time one is acquired, the acquired management No. Is used to search the database 60 to obtain the word 62 of the corresponding record (step S69). In this record, the industry type 61 is the industry type to be processed and its management number. 65 is the acquired management No. Is a record. Note that the process of step S69 means obtaining candidate words related to the industry to be processed.

  Then, the word 62 (candidate word related to the processing target industry) acquired in step S69 is stored in the candidate data 59 as the selection candidate word (step S73). However, before that, it is checked whether or not the word 62 has already been stored in the candidate data 59 (steps S70, S71, S72). If the word 62 has already been stored in the candidate data 59, the process of step S73 is performed. Absent. If the word 62 acquired in step S69 is also registered in the user dictionary 57, it should be determined that it has already been stored in the candidate data 59.

  In the processes in steps S70, S71, and S72, each word 112 stored in the candidate data 59 is sequentially acquired (step S70), and whether the acquired word 112 is the same as the word 62 acquired in step S69. It is checked whether or not (step S71). If they are the same (step S71, YES), the process proceeds to step S74 as it is.

  If the same word 62 as the word 62 acquired in step S69 is not stored in the candidate data 59 (YES in step S72), the word 62 acquired in step S69 (candidate word or the like) is selected as described above. It adds to the candidate data 59 as a candidate word etc. (step S73). For example, a copy of each data (industry type 61, management No. 65, word 62, reading 63, English notation 64) of the corresponding record is copied to the industry type 115, candidate No. 111, word 112, reading 113, and English notation 114.

  The processes in steps S69 to S73 are the same as the corresponding management No. of the corresponding record. Management No. stored in 103. Run for everything. When the execution is completed for all (step S74, YES), the selection candidate words stored in the candidate data 59 are displayed in a list. That is, each word 112 (selection candidate word) stored in the candidate data 59 is sequentially extracted (step S75) and displayed (step S77) until the process is executed for all the words 112. Then, when all the words 112 stored in the candidate data 59 are displayed (step S76, YES), this process ends.

FIG. 23 is a detailed flow of the process in step S21 performed by the dictionary switching processing unit 55.
In the illustrated processing example, for example, when there is an industry type designation (discrimination) in steps S19 and S25 (step S81, YES), the discriminated industry type is stored as a designated industry in a predetermined storage area. (Step S82). Thus, in steps S41 and S65, if any industry type is stored in the predetermined storage area, the determination is YES. In step S42, the industry type stored in the predetermined storage area is determined as a search target.

  The process in step S82 is not limited to the above example, and the list destination corresponding to the designated industry may be stored in a predetermined storage area. The list destination is the top address of an area in the database 60 in which a record group related to an arbitrary industry is stored. Of course, in this case, it is assumed that data is stored in the database 60 for each industry, but the present invention is not limited to this example.

FIG. 24 is a detailed flow of the process in step S22 performed by the user dictionary registration processing unit 52.
This process is a process of registering the user dictionary 57 in the user dictionary 57 when the word that is confirmed and input this time is not registered in the user dictionary 57.

  In the illustrated processing example, all words registered in the user dictionary 57 are the words confirmed in step S18 or the words confirmed in the case where step S23 is YES (words in which the user has entered all the character strings). A match / mismatch is determined by comparison with the word 92. That is, every time one word 92 registered in the user dictionary 57 is acquired (step S91), it is determined whether or not this word 92 is the same as the determined word (step S92). If they do not match (step S92, NO), if unprocessed words 92 remain in the user dictionary 57 (step S93, NO), the process returns to step S91 to acquire the next word 92.

  If the unprocessed word 92 does not remain in the user dictionary 57 (step S93, YES), the determined word is not registered in the user dictionary 57. Therefore, the determined word is stored in the user dictionary. 57 is newly registered (step S94). At this time, if the confirmed word is a word already registered in the database 60, the reading 63 and the English notation 64 related to the confirmed word are acquired from the database 60, and these are also registered in the user dictionary 57. That is, the confirmed word, its reading 63, and English notation 64 are stored in the word 92, reading 93, and English notation 94 of the new record of the user dictionary 57.

  On the other hand, if the word 92 registered in the user dictionary 57 is the same as the confirmed word (step S92, YES), the process ends without performing the process of step S94.

  Here, as described above, in the above example, “word” has been described as an example. However, the present invention is not limited to this example. Can let the user choose.

According to the input auxiliary unit 50 described above, it is possible to present an accurate selection candidate term to the user, thereby reducing the term input operation by the user.
For example, the drawing editor device 5 is installed on the manufacturer side of the programmable display device 1, and screen data 42 (32) or the like is arbitrarily created by a developer or the like for each programmable display device 1 before shipment. There is a case to let you. In this case, according to the processing function of the input auxiliary unit 50 described above, selection candidate terms are determined and presented from a group of terms related to the industry to which each programmable display device 1 is shipped (database 60 for that industry). The possibility is high. For example, it is considered that the word (term) determined in step S18 is highly likely to be a technical term or the like in the industry to which the programmable display device 1 targeted at that time is shipped. Thus, the industry related to this word (term) becomes the designated industry in step S21, and the process of step S42 is executed for this designated industry after the next time.

Further, when there is a designated industry, it is not necessary to search for all industries, and only the designated industry needs to be searched, so the search processing load is reduced.
Alternatively, even if the term that the user wants to input is not in the database (and thus all the character strings of the term are entered manually), the designated industry in step S24 is the industry related to the programmable display 1 that is the target at that time. The possibility of becoming is not low. For example, as in the example of FIG. 10, a term including “resistance” is highly likely to be an FA term. Therefore, if the user has entered all the character strings of terms that include “tolerance” (assuming that this term is not in the options (database 60)), the input term is likely to be an FA term. Conceivable. In this case, the possibility of FA becoming the designated industry is increased by steps S25 and S21. In this case, it is considered that other terms input by the user are likely to be FA terms.

  From the above, there is a high possibility that a term (a term desired by the user) to be input by the user is in the selection candidate term group. That is, as described above, an accurate selection candidate term can be presented to the user (more accurate search prediction can be realized).

  When all candidate terms obtained in step S15, that is, all industry candidate terms, are presented as selection candidate terms, there are a large number of selection candidate terms in some cases, which increases the selection work burden on the user. On the other hand, as described above, only the candidate terms related to a specific industry are presented to the user as selection candidate terms each time, thereby reducing the selection work burden on the user. Of course, as described above, an accurate selection candidate term can be presented to the user.

  Further, not only the selection candidate terms based on the database 60 but also the selection candidate terms based on the user dictionary 57 are also presented, so that a more appropriate selection candidate term group can be presented to the user. Thus, the term input work by the user can be further reduced.

  That is, according to the processing of the input auxiliary unit 50 described above, even a term that is not registered in the database 60 is registered in the user dictionary 57 as long as the term is input by the user even once. The term not registered in the database 60 is a term related to an arbitrary industry (a technical term of the industry), but is not a term registered in the database 60 or a technical term related to any industry. Terms (general terms, etc.).

As described above, terms that cannot be handled only by the database 60 can be handled by adding the user dictionary 57.
Further, with respect to terms registered in the database 60, the effect of adding the user dictionary 57 can be obtained. In other words, in the above process, a term registered in the database 60 is also registered in the user dictionary 57 if it is a term selected by the user even once. On the other hand, the designated industry is not always correct. For this reason, when the “user desired term” is an industry term other than the designated industry, there is a possibility that the “user desired term” is not included in the selection candidate term group presented based on the database 60. Get higher. Even in such a case, if the “user-desired term” has been selected at least once in the past, it should be registered in the user dictionary 57 and thus presented as one of the selection candidate terms. It should be.

  As described above, the user dictionary 57 is also added to terms registered in the database 60, so that the user can select from a selection candidate term group to be presented (it is not necessary to input all characters). Property).

  From the above, not only the selection candidate terms based on the database 60 but also the selection candidate terms based on the user dictionary 57 are combined, so that the user-desired selection candidate term group includes “user desired The possibility that the term "is present" can be further increased.

The processing of the input auxiliary unit 50 has been described above.
The user inputs a desired word or sentence while receiving input assistance from the input processing unit 50, and the text data is included in the screen data 42. However, the present invention is not limited to this example. Words or sentences input by the user may be translated into an arbitrary language, and the translation result may be included in the screen data 42 or the like. For example, when creating screen data 42 or the like for a programmable display to be shipped to a foreign country, all text data (words, sentences, sentences, etc.) included in the screen data 42 and the like must be in the language of the shipping destination country. There is.

  This translation processing is executed by the illustrated translation processing unit 71 in the examples shown in FIGS. Note that an API (application programming interface; translation API 72) for realizing the processing of the translation processing unit 71 is provided in the drawing editor device 5 in the example of FIG. 5 and the like, but in the example of FIG. (On the cloud).

25 and 26 are process flowchart diagrams (1/2) and (2/2) of the translation processing unit 77. FIG. These are not particularly distinguished, and are described as FIG.
In the illustrated example, words that are not registered in the database 60 (here, all the words registered in the database 60 are stored together with correct English notation) are translated. Shall not.

  Here, at present, when using existing translation software, especially when the translation target is a technical term for each industry (industry term), when translating from Japanese to English, Chinese, Thai, Vietnamese, etc. This is because a correct translation result is not always obtained (in many cases, erroneous translation is performed).

  In order to solve this problem, the present inventor can obtain an almost accurate translation result even if existing translation software is translated from English notation into Chinese, Thai, Vietnamese, etc. (at least in Japan) The possibility of mistranslation is less than when translating from words. Thus, in this method, as described above, a word with English notation is translated based on the English notation (English translation of the word), but a word without English notation is not translated. This makes it possible to realize a translation process that is less likely to be erroneously translated even if the translation target is a technical term (industry term) for each industry.

  One of the causes of mistranslation when translating from the above Japanese into another language is that Japanese expressions related to technical terms etc. are often used for each manufacturer, for example. .

  Here, what has been described above is an example, and the present invention is not limited to this example. For example, in the case of a word that is not registered in the database 60, the user may perform an English translation and input an English translation result (English notation). For example, the user dictionary 57 is exported, and the user or the like inputs an English translation of each word that has no English translation in the user dictionary 57. Then, the completed user dictionary 57 is imported. In the case of the database 60, it is registered after checking whether or not the English notation is correct.

The processing of the translation processing unit 71 shown in FIG. 25 and the like is started when the user performs a predetermined operation, for example. The word to be translated is, for example, the determined word.
In the processing example of FIG. 25 and the like, first, a selection screen (not shown) for allowing the user to select a desired translation destination language is displayed. On this selection screen, preset languages that can be translated (Chinese, Thai, Vietnamese, etc.) are displayed in a list, and the user selects and designates a desired language (step S101).

  Subsequently, an English translation (English notation 94) of the word to be translated is acquired from the user dictionary 57 (step S102). However, when there is no English notation 94 (step S103, NO), the translation target word is not translated. If there is another word to be translated (step S106, NO), the process returns to step S102, but if there is no other word (step S106, YES), this process ends.

  Note that according to the above-described processing of the input assisting unit 50 of this example, the word to be translated (the confirmed word) must be registered in the user dictionary 57 at the time of this processing. However, as described above, in the case of the determined word in the case where step S23 is YES, this word itself is registered in the user dictionary 57, but its English notation is not registered in the user dictionary 57. On the other hand, as described above, in the case of a word already registered in the database 60, the English notation should be registered in the user dictionary 57.

  If YES in step S103, the translation API 72 corresponding to the language specified in step S101 is used to translate the English translation (English notation 94) of the word to be translated into the language specified in step S101. (Step S104). Then, the translation result is included in the screen data 42 and registered in the user dictionary 57 (step S105). For example, when translating into Thai, the translation result is stored in Thai notation 98 in the record in which the word 92 is the word to be translated in the user dictionary 57.

If there is another word to be translated (step S106, NO), the process returns to step S102, but if there is no other word (step S106, YES), this process ends.
FIG. 27 shows a functional block diagram of the drawing editor device 5 of this example.

In addition, it can be said that FIG. 27 showed the functional block diagram shown in FIGS. 5-8 from another viewpoint and expression. Therefore, FIG. 27 may be regarded as substantially the same as FIG. 5 to FIG. 8 in terms of content.
In the example shown in FIG. 27, the drawing editor device 5 is a drawing editor device for inputting an arbitrary term related to an arbitrary programmable display, and includes an industry switching unit 200, a selection candidate term determining unit 201, a candidate display / selection unit. 202 and a term determining unit 203.

  The industry switching unit 200 determines a predetermined industry from a plurality of industries each time. For example, a database for a predetermined industry is determined as a search target each time among a plurality of databases for each industry constituting the database 60. From this, the industry switching unit 200 may be regarded as corresponding to, for example, the dictionary switching processing unit 55 or the like.

  When an arbitrary character string is input, the selection candidate term determination unit 201 determines a term including the input character string as a selection candidate term from the group of terms related to the predetermined industry determined by the industry switching unit 200. .

The candidate display / selection unit 202 displays a list of selection candidate terms determined by the selection candidate term determination unit 201 and allows the user to select an arbitrary selection candidate term from the list.
The term determination unit 203 determines the selection candidate term selected by the user in the candidate display / selection unit 202 as an input term.

  According to the drawing editor device 5 of this example, when the user wants to input a desired term (particularly, an arbitrary technical term), the user can input the desired term only by inputting a partial character string of the desired term. Is likely to be presented as one of the selection candidate terms. Therefore, if this is selected, input of a desired term is completed (determined as an input term). Thus, the user's term input work burden is reduced.

  In addition, by selecting the selection candidate term group from the term group related to the predetermined industry, the search target can be narrowed down, and the number of selection candidate terms displayed in a list can be narrowed down. .

For example, when the industry related to the term determined as the input term in the previous process is stored as the designated industry, the industry switching unit 200 sets the designated industry as the predetermined industry.
Alternatively, the industry switching unit 200 obtains the number of terms including the input character string as a relevant number for each industry (for example, when there is no designated industry), for each industry, The industry with the largest number of hits is defined as the predetermined industry.

  As described above, the industry switching unit 200 determines a predetermined industry according to the situation at that time, and it is highly likely that an appropriate industry is determined as the predetermined industry each time. Become. The appropriate industry is the industry to which the desired term is concerned. Therefore, there is a high possibility that the desired term exists in the selection candidate term group displayed in the list.

  Terms related to each industry are stored in advance in a database. This database may be provided in the drawing editor device 5 or may be provided in an arbitrary external device or the like.

  That is, the drawing editor device 5 may further include an industry-specific term database unit 205 in which a term group related to each industry is stored in advance for each industry. In this case, the selection candidate term determination unit 201 performs the selection candidate term determination process based on the industry-specific term database unit 205 related to the predetermined industry determined by the industry switching unit 200.

  Or the structure provided with the external device 210 and the industry term database 211 in which the term group regarding the industry for each industry was memorize | stored may be sufficient. In this case, the drawing editor device 5 further includes an access unit 206 that accesses the industry-specific term database 211 via a network. Then, the selection candidate term determination unit 201 performs the selection candidate term determination process based on the industry-specific term database 211 related to the predetermined industry determined by the industry switching unit 200 via the access unit 206. .

  The industry switching unit 200 may store, for example, the industry related to the input term as the designated industry after the term determining unit 203 determines the input term. In this case, when an arbitrary character string is input next, the selection candidate term determination unit 201 determines the selection candidate term from the stored term group (database) related to the designated industry. .

  Alternatively, when there is no designated industry in the process of the selection candidate term determination unit 201, the industry switching unit 200 selects a term including the input character string in the industry related term group for each industry. The number is determined as the corresponding number, and the industry with the largest number of matches is set as the predetermined industry.

  Alternatively, when the user inputs an arbitrary term formed by inputting a character string following the input character string without performing selection from the selection candidate term list, the term determining unit 203 inputs the input term Is determined as the input term.

  The drawing editor device 5 may further include a user dictionary 204 in which an arbitrary term group is stored. In this case, the selection candidate term determination unit 201 further determines a term including the input character string from the term group of the user dictionary 204 as the selection candidate term.

  The drawing editor device 5 further includes a user dictionary unit 208 that registers the input term in the user dictionary 204 when the input term determined by the term determination unit 203 is not registered in the user dictionary 204. It may be.

When the drawing editor device 5 is instructed to translate the input term determined by the term determining unit 203 into an arbitrary language, the English translation of the input term is converted into the industry-specific term database unit 205 or the industry-specific term. When stored in the database 211 or the user dictionary 204, it may further include a translation processing unit 209 that performs translation into the arbitrary language using the English translation.
In addition, the term of the term group regarding each said industry is a technical term of each industry, for example.

Claims (15)

A drawing editor device for inputting an arbitrary term relating to an arbitrary programmable display,
An industry switching means for determining a predetermined industry each time from a plurality of industries,
When an arbitrary character string is input, a selection candidate term determining unit that determines a term including the input character string as a selection candidate term from a group of terms related to the predetermined industry determined by the industry switching unit;
Candidate display / selection means for displaying a list of the selection candidate terms determined by the selection candidate term determination means and selecting an arbitrary selection candidate term;
Term determining means using the selected selection candidate terms as input terms;
A drawing editor apparatus characterized by comprising:   The industry switching means, when an industry related to a term determined as the input term in the previous processing is stored as a designated industry, the designated industry as the predetermined industry. 1. The drawing editor device according to 1.   For each industry, the industry switching means obtains the number of terms including the input character string as a relevant number in a group of terms related to the industry, and sets the industry having the most relevant number as the predetermined industry. The drawing editor device according to claim 1. It further has an industry-specific term database means for storing a group of terms related to each industry in advance.
2. The drawing editor device according to claim 1, wherein the selection candidate term determination unit performs the selection candidate term determination process based on an industry-specific term database unit related to the predetermined industry. It further has an access means for accessing an industry-specific term database in which terms related to the industry for each industry provided in the external device are stored via a network.
2. The drawing editor according to claim 1, wherein the selection candidate term determination unit performs the selection candidate term determination process based on the industry-specific term database related to the predetermined industry via the access unit. apparatus. The industry switching means stores the industry related to the input term as the designated industry after the input term is determined by the term determining means,
3. The selection candidate term determination unit determines the selection candidate term from the stored term group related to the designated industry when an arbitrary character string is input next. Drawing editor device.   The industry switching means corresponds to the number of terms including the input character string in a group of terms related to the industry for each industry when the designated industry does not exist in the processing by the selection candidate term determining means. 3. The drawing editor device according to claim 2, wherein the industry having the largest number of hits is determined as the predetermined industry.   When an arbitrary term formed by inputting a character string subsequent to the input character string without being selected from the selection candidate term list is input, the term determining means determines the input term as the input term. The drawing editor device according to claim 1, wherein: A user dictionary in which an arbitrary term group is stored;
2. The drawing editor device according to claim 1, wherein the selection candidate term determining means further determines a term including the input character string from the term group of the user dictionary as the selection candidate term.   10. The user dictionary registration means for registering the input term in the user dictionary when the input term determined by the term determination unit is not registered in the user dictionary. Drawing editor device.   When translation into an arbitrary language is instructed with respect to the input term determined by the term determining means, when an English translation of the input term is stored in the industry-specific term database means, the English translation is used. 5. The drawing editor apparatus according to claim 4, further comprising translation processing means for performing translation into the arbitrary language.   2. The drawing editor apparatus according to claim 1, wherein the terms of the term group related to each industry are technical terms of each industry. A computer of a drawing editor apparatus for inputting an arbitrary term relating to an arbitrary programmable display,
When an arbitrary character string is input, selection candidate term determining means for determining a term including the input character string from a group of terms related to a predetermined industry as a selection candidate term;
Candidate display / selection means for displaying a list of the selection candidate terms determined by the selection candidate term determination means and selecting an arbitrary selection candidate term;
Term determining means using the selected selection candidate terms as input terms;
Program to function as.   When the input term determined by the term determining means is instructed to be translated into an arbitrary language, the English translation of the input term is stored in the industry-specific term database. 6. The drawing editor device according to claim 5, further comprising translation processing means for performing translation into an arbitrary language.   When translation into an arbitrary language is instructed with respect to the input term determined by the term determining means, and when an English translation of the input term is stored in the user dictionary, the arbitrary translation is performed using the English translation 10. The drawing editor apparatus according to claim 9, further comprising a translation processing means for performing translation into a language.

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