JP6402397B1 - Accounting device, accounting method, accounting program - Google Patents

Abstract

In a conventional accounting processing apparatus, accounting processing method, and accounting processing program, there is a problem that it is necessary to register a summary phrase or the like in advance.
An accounting processing apparatus having a summary decision support function for determining relevant summary information from an input account item, wherein one or more summary words constituting the summary information, an input account item, and The keyword dictionary that registers the associated description as a keyword, the storage unit 30 that stores the description pattern that associates the account with the description information, and the account entered in the debit and the account entered in the credit match as a key And a control unit 10 for acquiring a summary pattern, and a summary processing unit that displays, as a summary word phrase candidate in order of frequency of use, a summary word phrase decomposed for each keyword with reference to a keyword dictionary from the matched description pattern The summary information can be created without registering in advance.
[Selection] Figure 9

Description

  The present invention relates to creating summary information from account items.

  In the conventional accounting processing device, there is a method for easily creating a journal just by inputting an account item by registering a past journal as a standard journal for a standard transaction generated every month and using it as a journal dictionary. (For example, refer to Patent Document 1). In addition, by using the description dictionary in which the account string related to the description character string (phrase) is registered, the account item is entered simply by selecting the description character string, and the journal is automatically created ( For example, see Patent Document 2).

Japanese Patent Laid-Open No. 06-052196 JP 2003-331209 A

However, when the conventional journal dictionary is used in Patent Document 1, the journal dictionary can be used as it is for regular transactions with the same account item and summary information other than the amount of electricity bills generated every month. If they are different, there is a problem that they must be entered again. In addition, there is a problem that it is necessary to register in advance in the journal dictionary the journal information that frequently occurs and journal information frequently used by the person in charge.
Moreover, although patent document 2 can create a journal easily by selecting summary information and an other subject after selecting an own subject, there was a subject that it was necessary to register summary information in a summary dictionary beforehand. . The transaction details are registered in the description dictionary as summary information, but the registered transaction details are typical transaction details, and the transaction details (eg, food and drink) are the same, and the account item (eg: expense or meeting) There is a problem that the transaction details are not sufficiently checked because the transaction status is unknown when the cost is different.

The first invention is
Accept account input,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extract a matching description pattern using as a key,
Create a summary pattern list from the extracted summary patterns,
Prioritizing the summary pattern list in descending order of the number of registrations of the summary pattern,
Refer to the keyword dictionary that is registered as a keyword that associates the category that indicates the transaction contents with the description item related to the entered account item, and decomposes each keyword from the description pattern list, and the number of description words and the number of description words in each description pattern Get
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising repeating the processing including the first means and the second means as many times as the number of summary phrases of the summary pattern having the largest number of registrations.

The second invention is
Accept account input,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extract a matching description pattern using as a key,
Create a summary pattern list from the extracted summary patterns,
The keyword associated with the relevant account on the debit side using the account entered in the debit with reference to the keyword dictionary that is registered as a keyword that associates the category indicating the transaction contents with the summary phrase related to the entered account To get the debit keyword
Acquire a credit keyword that is a keyword associated with the account item on the credit side using the account item entered in the credit with reference to the keyword dictionary as a key,
From the summary pattern list, for each summary pattern, the debit keyword and the credit keyword are used as a key, and the number of summary phrases that match each other is counted as a summary phrase usage count,
Summing up the total number of usages of the summary words and phrases used for each summary pattern,
Prioritize in descending order of the total number of terms used,
Decompose each keyword from the summary pattern list to obtain the summary words and number of summary words for each summary pattern,
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising: repeating the processing including the first means and the second means by the number of summary words of the summary pattern having the largest total number of summary phrases used.

The third invention is
Accept account input,
Debit corresponding to the debit account with the account entered in the debit referring to the item description table registered in association with the entered account and the description type that classifies the transaction contents and transaction status for each transaction category Get a summary type,
With reference to the item description table, the credit item type corresponding to the account item of the credit is acquired using the account item input to the credit as a key,
Compare the debit summary type with the credit summary type,
Extract a descriptive summary type from the debit summary type and the credit summary type,
A summary item with the extracted summary type as a key by referring to a summary type table that associates and registers a summary item configuration that is a combination of summary items, which is a combination of summary items that are broken down by keyword for each transaction and transaction status. Get the number and summary item composition,
Refer to the keyword dictionary that is registered as a keyword that associates the category indicating the transaction content with the description phrase related to the input account item, and obtain a keyword having a high priority for each item of the description item configuration,
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising: repeating a process including a first means and a second means by the number of summary items.

A fourth invention is the accounting apparatus according to the first invention or the second invention,
Primitive voucher showing transaction details is converted into image data,
Text information is extracted from the image data;
Refer to the keyword dictionary and decompose text information as an input keyword for each keyword,
Refer to the subject description pattern table to obtain a description pattern having the largest number of matches with the input keyword using the input keyword as a key,
An accounting processing apparatus is characterized in that summary information is automatically created based on an obtained summary pattern.

A fifth invention is the accounting apparatus according to the third invention,
Primitive voucher showing transaction details is converted into image data,
Text information is extracted from the image data;
Refer to the keyword dictionary and decompose text information as an input keyword for each keyword,
An accounting processing apparatus comprising: automatically creating summary information by setting the input keyword to each item of the summary item configuration.

A sixth invention is the accounting apparatus according to any one of the first to fifth inventions,
Create journal data including the account item and the description information from the description information created from the account item and the fixed description phrase,
An accounting processing apparatus characterized in that the journal data is registered in a journal data DB.

A seventh invention is the accounting processing apparatus according to the first to sixth inventions,
Create journal data that includes the account and summary information,
When registering the journal data in the journal data DB, 1 is added to the number of selections of the corresponding summary phrase depending on the presence or absence of the summary phrase used in the summary information in the keyword dictionary, or the corresponding summary phrase is used as a new keyword. The first means to register automatically,
An accounting processing apparatus that feeds back to the keyword dictionary by the first means.

An eighth invention is the accounting apparatus according to any one of the first, second and fourth inventions,
Create journal data that includes the account and summary information,
When registering the journal data in the journal data DB, 1 is added to the number of selections of the summary pattern that matches the summary information or new summary information is added depending on whether the summary information is registered in the summary pattern table. A first means of automatically registering as a pattern;
The accounting processing apparatus feeds back to the summary pattern table by the first means.

A ninth invention is the accounting apparatus according to any one of the first to eighth inventions,
When the summary phrase includes at least one of the characters of date or amount, the summary phrase obtained by removing the date or amount portion from the summary phrase is automatically registered as a new keyword when registering in the keyword dictionary. Means of
An accounting processing apparatus that feeds back to the keyword dictionary by the first means.

A tenth invention is the accounting apparatus according to any one of the first, second, fourth and eighth inventions,
When the summary information includes at least either date or amount characters, the summary information obtained by removing the date or the amount from the summary phrase is automatically registered as a new summary pattern when registering in the summary pattern table. One means,
The accounting processing apparatus feeds back to the summary pattern table by the first means.

An eleventh invention is the accounting processing apparatus according to any of the first to tenth inventions,
Accept the input of the company doing the accounting process,
Obtain the company code of the company entered by referring to the company DB that registered the company information subject to accounting processing,
Use the acquired company code as a key to acquire the matching journal data from the journal data DB,
Extract a summary phrase included in the summary information of the journal data acquired by referring to the keyword dictionary,
The accounting processing apparatus is characterized in that a keyword dictionary for each company is created based on the extracted summary word / phrase.

A twelfth invention is the accounting apparatus according to any one of the first, second, fourth, eighth and tenth inventions,
Accept the input of the company doing the accounting process,
Obtain the company code of the company entered by referring to the company DB that registered the company information subject to accounting processing,
Use the acquired company code as a key to acquire the matching journal data from the journal data DB,
Extracting the description pattern that matches the description information of the journal data acquired by referring to the description pattern table,
An accounting processing apparatus is characterized in that a summary pattern table for each company is created based on the extracted summary pattern.

A thirteenth invention is the accounting apparatus according to any of the first to twelfth inventions,
Acquire the target date that is the date of occurrence of the transaction subject to accounting,
Based on the reference setting in which the occurrence time of the past transaction to be referred to is set and the target date and time, a reference period for limiting the date on which the past transaction to be referred to occurred is determined,
Extract journal data corresponding to the reference period from the journal data,
The accounting processing apparatus according to claim 1, wherein a keyword dictionary for each company is created based on the extracted journal data.

A fourteenth invention is the accounting apparatus according to any one of the first, second, fourth, eighth, tenth and twelfth inventions,
Acquire the target date that is the date of occurrence of the transaction subject to accounting,
Based on the reference setting in which the occurrence time of the past transaction to be referred to is set and the target date and time, a reference period for limiting the date on which the past transaction to be referred to occurred is determined,
Extract journal data corresponding to the reference period from the journal data,
An accounting processing apparatus for creating a summary pattern table for each company based on the extracted journal data.

The fifteenth invention
Computer
A step of accepting input of an account,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extracting a matching description pattern using as a key;
Creating a summary pattern list from the extracted summary patterns;
Prioritizing the summary pattern list in descending order of the number of registrations of the summary pattern;
Refer to the keyword dictionary that is registered as a keyword that associates the category that indicates the transaction contents with the description item related to the entered account item, and decomposes each keyword from the description pattern list, and the number of description words and the number of description words in each description pattern Step to get the
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting method, wherein the processing including the first step and the second step is repeated as many times as the number of summary words in the summary pattern having the largest number of registrations.

The sixteenth invention is
Computer
A step of accepting input of an account,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extracting a matching description pattern using as a key;
Creating a summary pattern list from the extracted summary patterns;
The keyword associated with the relevant account on the debit side using the account entered in the debit with reference to the keyword dictionary that is registered as a keyword that associates the category indicating the transaction contents with the summary phrase related to the entered account Obtaining a debit keyword that is,
Obtaining a credit keyword that is a keyword associated with the account item on the credit side using the account item entered in the credit with reference to the keyword dictionary as a key;
Totaling the number of description terms that match the debit keyword and the credit keyword as a key for each description pattern from the description pattern list,
Summing up the total number of usages of the summary words and phrases used for each summary pattern; and
Prioritizing in descending order of the total number of summary phrases used;
Decomposing each keyword from the summary pattern list to obtain a summary word and the number of summary words of each summary pattern;
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing method comprising: executing a process including a first step and a second step by a number of times of the number of summary phrases of the summary pattern having the largest total number of summary phrases used.

The seventeenth invention
Computer
A step of accepting input of an account,
Debit corresponding to the debit account with the account entered in the debit referring to the item description table registered in association with the entered account and the description type that classifies the transaction contents and transaction status for each transaction category Obtaining a description type; and
Obtaining a credit description type corresponding to the credit account item using the account item entered in the credit with reference to the item description table as a key;
Comparing the debit summary type with the credit summary type;
Extracting a matching summary type from the debit summary type and the credit summary type;
A summary item with the extracted summary type as a key by referring to a summary type table that associates and registers a summary item configuration that is a combination of summary items, which is a combination of summary items that are broken down by keyword for each transaction and transaction status. Obtaining the number and summary item configuration;
Obtaining a keyword having a high priority for each item of the summary item configuration with reference to a keyword dictionary registered as a keyword in which a category indicating transaction contents is associated with a summary phrase related to the input account item;
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting method, comprising: executing a process including a first step and a second step as many times as the number of summary items.

An eighteenth invention is the accounting method according to the fifteenth or sixteenth invention,
Computer
Converting the primitive voucher indicating the transaction contents into image data;
Extracting text information from the image data;
Decomposing text information for each keyword as an input keyword with reference to the keyword dictionary;
Obtaining a summary pattern having the largest number of matches with the input keyword using the input keyword as a key with reference to the subject summary pattern table;
And a step of automatically creating summary information based on the obtained summary pattern.

A nineteenth invention is the accounting method according to the seventeenth invention,
Computer
Converting the primitive voucher indicating the transaction contents into image data;
Extracting text information from the image data;
Decomposing text information for each keyword as an input keyword with reference to the keyword dictionary;
An accounting processing method comprising: automatically creating summary information by setting the input keyword to each item of the summary item configuration.

A twentieth invention is the accounting method according to the fifteenth to nineteenth inventions,
Computer
Creating journal data including the account item and the description information from the description information generated from the account item and the fixed description phrase;
And a step of registering the journal data in a journal data DB.

A twenty-first invention is the accounting method according to the fifteenth to twentieth inventions,
Computer
Creating journal data including the account item and the description information;
When registering the journal data in the journal data DB, 1 is added to the number of selections of the corresponding summary phrase depending on the presence or absence of the summary phrase used in the summary information in the keyword dictionary, or the corresponding summary phrase is used as a new keyword. The first step to register automatically,
And a step of feeding back to the keyword dictionary in the first step.

A twenty-second invention is the accounting method according to any one of the fifteenth, sixteenth and eighteenth inventions,
Computer
Creating journal data including the account item and the description information;
When registering the journal data in the journal data DB, 1 is added to the number of selections of the summary pattern that matches the summary information or new summary information is added depending on whether the summary information is registered in the summary pattern table. The first step of automatically registering as a pattern,
And a step of feeding back to the summary pattern table in the first step.

A twenty-third invention is a program for causing a computer to function as the accounting processing apparatus according to any one of the first to fourteenth inventions.

  According to the present invention, it is not necessary for the person in charge to register journals and summary information frequently used in the dictionary in advance, and by inputting an account item, an optimal summary word candidate is displayed and selected to be entered. Can be created efficiently.

  In addition, in Patent Document 1, since it is necessary to register in advance in the journal dictionary the journal information that frequently occurs and the journal summary information frequently used by the person in charge, the work of registering in the dictionary in advance occurs. Since the person in charge does not need to register, it is not necessary to edit and manage the dictionary and table, so the burden on the person in charge can be reduced.

Also, in Patent Document 2, if the transaction details (eg: eating and drinking) are the same and the account items (eg: compensatory expenses, conference fees, etc.) are different, the transaction status is unknown, so the transaction details will be insufficiently checked. On the other hand, in the present invention, not only the transaction contents but also the transaction status can be described, so that the optimum summary information can be created for each account item.

Moreover, summary information can be created based on a combination of summary items from a dictionary that collects general transaction terms for each account item (example 1). In Example 1 above, all combinations of account items and created descriptions must be registered, but by associating an account item with a description type that classifies combinations of description items into a certain pattern, It is only necessary to register the minimum necessary combination among the combinations with the created summary. Further, by summarizing the transaction information such as the minimum transaction items and transaction status required for specifying the account item into the description type, appropriate description information is created when the account item is selected.

Also, by setting multiple combinations of accounts and related descriptions, you can compare the related debit summary type of the debit account with the related credit description type of the credit account, and use the matching description type. The accuracy of the summary information to be created can be increased. In addition, some terms (November and 50,000 yen) are excluded from the summary (November rent and monthly fee of 50,000 yen) used in routine processing depending on the summary type item (date, amount, etc.) Thus, the number of descriptions to be registered can be reduced, and the description registration can be made more efficient.

  Also, input efficiency can be improved by inputting account items and creating a template of summary information (example 2). In Example 2, the order of summary items is fixed in advance and each item must be registered in advance in a dictionary or the like, but by setting the summary type related to the account item for each account item The order and contents of summary items can be freely set for each account item.

It is a figure showing the whole accounting processing system 100 composition concerning this embodiment. It is a figure which shows the functional block of the accounting processing apparatus 1 which concerns on this embodiment. It is a figure which shows the example of company DB used by the process with the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the journal data DB used by the process with the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the subject summary table used by the process with the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the summary type | mold table used by the process with the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the subject summary pattern table used by the process with the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the keyword dictionary used by the process with the accounting processing apparatus which concerns on this embodiment. It is a flowchart which shows the process (Example 1) in the accounting processing apparatus which concerns on this embodiment. It is a flowchart which shows the process (Example 2) in the accounting processing apparatus which concerns on this embodiment. It is a flowchart which shows the process (Example 3) in the accounting processing apparatus which concerns on this embodiment.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again.

<Overall configuration of accounting system 100>
FIG. 1 is a diagram showing an overall configuration of an accounting processing system 100 according to the present embodiment.
FIG. 2 is a functional block diagram of the accounting processing apparatus 1 according to the present embodiment.

  In an accounting system 100 shown in FIG. 1, a server apparatus 1a that mainly stores accounting data and a calculation process and a terminal 1b that inputs data and performs instructions for processing are connected via a network and cooperate with the accounting process. It is a system configuration to perform. A system in which an accounting processing apparatus 1 of an accounting office that receives a request from an advisor executes various business application programs (hereinafter referred to as “programs”) to perform accounting processing. It is.

The accounting processing system 100 includes, for example, a server 1a and a plurality of terminals 1b. The server 1a performs processing based on the operation data received from the terminal 1b. The multiple terminals 1b are, for example, business processing personnel (hereinafter referred to as “persons in charge” or accounting offices who work in accounting offices such as teachers who are tax accountants or certified public accountants, or veteran staff, etc.) "It is a terminal operated by an advisor (also called an" employee "for a company that has an advisory contract with an accounting firm). Although explained in the accounting office, it may be a department that performs accounting and accounting processing in the company.

In FIG. 1, the accounting processing system 100 is described as including the server 1a and the terminal 1b, but this is an example. For example, a system in which servers and terminals in an accounting office are connected via a network, an accounting processing system between an accounting office and a consultant, an accounting processing system between head offices, an accounting processing system between head offices, and accounting between head offices It may be a processing system.

  The accounting processing device 1 is, for example, a device that is provided in an accounting office and performs various accounting processes, and corresponds to one device (single machine) such as a server 1a and a terminal 1b. The accounting processing apparatus 1 performs a plurality of business processes corresponding to various accounting processes. In addition, the accounting processing apparatus 1 may be configured by, for example, one stand-alone (single machine) computer (PC). Further, the accounting processing apparatus 1 may be a workstation (WS) configured by a plurality of PCs. As described above, the apparatus configuration may be processed as a single machine, or may be realized as a system configuration in which the server apparatus 1a and the terminal 1b are connected via a network.

  Further, the accounting processing apparatus 1 may be in an advisory company, not in an accounting office, in a company that provides services such as business consignment, or a cloud service. For example, the terminal 1b is not necessarily provided in the accounting office, and includes a terminal of a staff member who is out of the office or working at home, and a terminal of a staff member who is outsourced. The accounting processing apparatus 1 may be a mobile terminal such as a mobile phone or a tablet, a digital camera, a scanner, or the like.

  Furthermore, the accounting processing apparatus 1 may be composed of only a server apparatus or a plurality of server apparatuses. In addition to the accounting office server apparatus, accounting files of a plurality of companies (employees) are also available. It may be an IDC (Internet Data Center) server device that provides a service for managing and managing the Internet.

Furthermore, the accounting processing apparatus 1 may be a virtual machine or a cloud in which the entity is virtualized.
Furthermore, when the corporate headquarters or the like performs financial management for each department or each branch (employee), the accounting processing device 1 may be a server device in the enterprise.
The accounting processing device 1 may be a device dedicated to the processing of the present invention, and the accounting processing device has the function of the accounting processing device 1 as one of various functions. Also good.

  Further, the accounting processing device 1 may be used as a device that is provided in a consultant and reads a slip (primary voucher) such as a receipt or receipt of the consultant and generates a slip image. The slip (primary voucher) is, for example, delivered to the accounting office by mail from the consultant or brought by the person in charge of the consultant. In addition, when performing between head offices etc., the accounting processing apparatus 1 should just exist in the head office, the head office accounting department, the branch office, the sales office of each base, and the place in both branches.

The above-described embodiments can be realized by computer hardware and a computer program executed thereon. In the above program, processing to be performed by hardware, such as transmission to transmit information and reception to receive information, for example, processing performed by a modem or an interface card in transmission (processing performed only by hardware) ) Is not included.

Further, the computer that executes the program may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.
In each of the above embodiments, it is needless to say that two or more communication means (terminal information transmission unit, terminal information reception unit, etc.) existing in one device may be physically realized by one medium. . The accounting processing apparatus 1 may be processed as a single machine, or may be realized as an accounting processing system 100 in which a server device 1a using the accounting processing apparatus 1 and a terminal 1b using the accounting processing apparatus 1 are connected via a network. Good.

In each of the above embodiments, each process (each function) may be realized by centralized processing by a single device (system), or by distributed processing by a plurality of devices. May be.
The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention. This is merely an example, and the technical scope of the present invention is not limited to this.

FIG. 2 is a block diagram of the accounting processing apparatus 1 in the present embodiment.
<Accounting device 1>
The accounting processing apparatus 1 includes a storage unit 30 and a control unit 10.
As shown in FIG. 2, the accounting processing apparatus 1 includes a control unit 10, a storage unit 30, an input unit 45, a display unit 46, and a communication unit 49. According to the configuration of the accounting processing device 1 in FIG. 1, the server device 1 a corresponds to the control unit 10, the storage unit 30, and the communication unit 49, and the terminal 1 b includes the input unit 45 and the display unit 46. Equivalent to.

The control unit 10 executes programs in a plurality of business processes corresponding to various accounting processes, and performs processing and management related to data such as data update.
The control unit 10 can be usually realized by an MPU, a memory, or the like. The processing procedure of the control unit 10 is usually realized by software, and the software is recorded on a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).

The control unit 10 is a CPU (central processing unit) that controls the entire accounting processing apparatus 1. The controller 10 executes various functions in cooperation with the hardware described above by appropriately reading and executing an OS (operating system) and application programs stored in the storage unit 30.
The control unit 10 includes a management unit (not shown) that performs data management such as data update, and a processing unit (not shown) that performs data processing such as data comparison.

The storage unit 30 can be usually realized by an MPU, a memory, or the like. The processing procedure of the storage unit 30 is usually realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit).
The storage unit 30 is a storage area such as a hard disk or a semiconductor memory element for storing programs, data, and the like necessary for the control unit 10 to execute various processes.
The storage unit 30 includes a program storage unit (not shown), a supplier DB (not shown), a company DB 31, a journal data DB 32, a subject summary table 33, a summary type table 34, and a subject summary pattern table. 35 and a keyword dictionary 36.

  The program storage unit is a storage area for storing various programs. The program storage unit stores application programs for executing various functions such as accounting processing. The supplier DB is a database that stores information on the suppliers of companies in the company DB. The supplier DB is associated with the supplier ID which is identification information for identifying the supplier, the business type, the company ID indicating the supplier of which company, the supplier name, the address, the store name, the telephone number, the company logo, Stores data related to business partners such as traders. The data of these business partners is used as counterparties for sales, purchases, accounts receivable, accounts payable, etc.

  Although the various functions of the control unit 10 described above are executed by one program as the application program, the various functions of the control unit 10 described above may be executed as a plurality of programs subdivided for each function.

  The company DB 31 shown in FIG. 3 stores company information to be subject to accounting processing using a company code as a key. The company DB 31 stores a company code, an organization code, a company name, an organization name, a type, a year, an address, an organization head, a division, a registered location, and a person in charge in association with each other. Yes. In addition to the case where an accounting office uses this accounting processing apparatus 1 for a plurality of advisors, a company has a branch office (not shown), a head office branch office (not shown), a head office and sales offices of each base It corresponds also to the case of using between (not shown).

In the company DB 31 shown in FIG. 3, the company code is identification information for identifying a consultant, and the organization store code is identification information for identifying the main branch, head office branch, or department of the company. The type of business is the type of business of the company, such as manufacturing or retail. The company name is the name of the company (eg ABC Industry, etc.), and the organization name is the name of the company's base (eg: ○ Shima Branch etc.), accounting department or sales department. It is. The type is the type of business such as accounting, tax or accounting. The address is the address of the organization of the company. The head of the organization is the name of the head of the organization of the company, such as a representative at the headquarters (example: ○ mountain x male in case of ABC Industry). The classification is a classification of a corporation or an individual. The registration location is a storage location of business data such as journal data for each company. The person in charge is a person in charge of operations such as accounting.

The company DB 31 may store, for example, the representative name, company logo, DB registration date, business form, commissioned business, etc., in addition to the items shown in FIG. The representative name may be used, for example, for associating a parent-child relationship of a company. The DB registration date corresponds to an advisory contract date or a branch establishment date. The business form is a corporate business, an individual business, a mere individual, or the like. The commissioned business includes accounting business (monthly audit, settlement of accounts, etc.) and tax (corporate tax return, blue return etc.).

The journal data DB 32 is a database that stores journal data using a journal ID for identifying the journal data as a key.
The journal data DB 32 stores journal data and a slip ID for identifying the slip image received by the slip image receiving unit 11 in association with the journal ID for identifying the journal data. The journal data stored in the journal data DB 32 can be updated by inputting and editing using the editing screen.

  The journal data DB 32 shown in FIG. 4 includes a journal ID, a company code, an organization code, a date, a debit item (debit account item), a credit item (credit account item), an amount, a description, and a slip ID. And slip classification and slip content are stored in association with each other. Here, the date is the occurrence date of the journal data, and is the same as the date included in the slip image. The amount is a debit amount or a credit amount of a single journal entry. This is because in the case of a single journal entry, the debit amount and the credit amount are the same. Further, the items may be stored separately in the debit amount and the credit amount so that a composite journal with different debit amount and credit amount can be created. The summary is a supplement to the subject. The slip classification is a classification of a slip (primary voucher) whose slip image is a receipt, a receipt, or the like. The slip content is the content of text information acquired from the slip image for character recognition processing using OCR or the like. Although details will be described later, this text information is used to automatically create summary information.

The item summary table 33 shown in FIG. 5 is a diagram showing associations between account items, their credits (debits and creditors), and summary types. Account items, credits (debits, creditors), and summary types are stored in association with each other.
The summary type classifies the transaction content and transaction status for each transaction category. Further, it is a subject summary table that is registered in association with the summary type and the input account subject. In addition to the items shown in FIG. 5, for example, items that are weighted according to priority such as the number of uses may be stored. It is possible to display summary types related to frequently used account items by weighting in order of priority and let the person in charge select them, or by learning the summary types that are frequently used and providing feedback. An optimal summary type table can be created for each company or year.

In addition, the description type is a combination of the account and the transaction category related to the loan and account, and in the case of cash debit, the account of cash such as sales, accounts receivable, purchase of goods, other deposits, deposits is debited. The transaction category to be journalized is stored. Similarly, in the case of cash credits, transaction categories in which cash account items such as food and drink, transportation, goods purchases, utility charges and taxes, purchases, accounts payable, unpaid, other payments and deposits are credited are stored. ing. There are both cash debits and credits for deposits, but in the case of cash debits, deposits are withdrawn from deposits, and in the case of cash credits, deposits are in deposits. By using the summary type, it is possible to narrow down the transaction category related to the account item using the account item as a key.

The summary type table 34 shown in FIG. 6 is a diagram showing a summary item configuration in which combinations of transaction contents and transaction status are summarized for each transaction category. The summary item is a breakdown of transaction details and transaction status for each keyword, and is grouped for each category. In addition, it is a summary type table that registers a summary item configuration that is a combination of summary items and a summary type in association with each other. The summary type table 34 stores a summary type, the number of items in the summary item configuration, and the contents of each item in the summary item configuration in association with each other. In addition to the items shown in FIG. 6, for example, items that are weighted according to priority such as the number of uses may be stored.

Among summary types related to account items that are often used for weighting, even if the summary type is the same (eg, traffic), the summary item configuration is different (“Transport”-“Transport / Fare / Content / Payment”) "Destination / Destination / Reason for Visit" or "Transport"-"Transport / Accommodation / Content / Payment / Accommodation / Reason for Visit" etc.) may be displayed in order of priority and selected by the person in charge. In addition, an optimum summary type table related to the account item can be created for each company or each year by learning the summary types frequently used and performing feedback. A summary type table for each company reflecting the latest trend may be created by optimizing each year.

In FIG. 6, the same name (eg, traffic) is used for the summary type even if the summary item configuration is different, but when the summary item configuration is different, a different name (eg, traffic 1, traffic 2, etc.) is used. May be. When different names (eg, traffic 1, traffic 2, etc.) are used in the summary type table, the summary types of the subject summary table 33 are also stored with different names (eg, traffic 1, traffic 2, etc.).

The subject summary pattern table 35 shown in FIG. 7 is a diagram showing the association between the summary pattern and the combination of the account subject, which are standardized combinations of summary phrases. The summary pattern is a combination of one or more summary words constituting summary information. Further, it is a subject summary pattern table that registers the summary pattern and the input account subject in association with each other. The subject summary pattern table 35 stores a debit subject, a credit subject, a summary pattern, and the number of registrations in association with each other. The number of registrations is the number of times that the summary information created by selecting the summary words by the person in charge is registered in the subject pattern table.

In addition to the items shown in FIG. 7, for example, items that are weighted according to priority such as the number of times of use may be stored (example of modified summary pattern). When adding the number of times of use, the description pattern 1 (eg, book price-magazine A) is used as the combination of the frequently used part of the description pattern (eg, book price-magazine A-convenience store E-1 volume), Subsequent combinations of summary phrases are defined as a summary pattern 2 (for example, convenience store E-1), so that the summary pattern 1 is weighted by the number of registrations, and the summary pattern 2 is weighted by the number of uses.

If the description pattern 1 (eg: book price-magazine A) is the same but the description pattern 2 (eg: D bookstore-1 book) is different, then the description pattern (eg: "book price-magazine A-convenience store" "E-1 book", "Book fee-Magazine A-D bookstore-1 book", etc.), but if it is a modified summary pattern example, search for summary pattern 1 (eg, book fee-magazine A). Then, by searching for the description pattern 2 (eg, “Convenience store E-1”, “D bookstore—1”, etc.), it is related to the combination of account items that are used more frequently than in the case of FIG. Since the search time for the description pattern can be reduced by narrowing down the description pattern, the display time of the summary phrase candidates displayed in descending order of priority from the description pattern that is a combination of the description pattern 1 and the description pattern 2 can be shortened. Can, it is possible to create an optimal Abstract pattern table for each or every years companies by performing learning the combinations of the selected payee pattern 1 and Abstract pattern 2 feedback. A summary pattern table for each company reflecting the latest trend may be created by optimizing each year.

Specifically, by using a company code selected from the company DB as a key, a description word / phrase included in the description information of matching journal data from the journal data DB is extracted from the description pattern table, and a description pattern table for each company is created. . In addition, based on a reference setting (not shown) in which the occurrence time of the past transaction to be referred to is set, a target date that is the generation date of the transaction to be accounted for is acquired, and the target date and the reference Based on the settings, after determining the reference period for limiting the date of occurrence of the past transaction to be referred to, it is included in the summary data of the journal data that matches from the journal data DB using the reference period as a key A summary word table is extracted from the summary pattern table to create a summary pattern table for each year.

The keyword dictionary 36 shown in FIG. 8 is a keyword and account item that is a description character string (phrase) associated with a category such as a business partner or a person name by decomposing each description word from the summary information of journal data registered in the past. FIG. In addition, the keyword dictionary is registered as a keyword in which a category indicating transaction details is associated with a summary phrase related to an input account item. The keyword dictionary 36 stores a keyword, an account item, a loan, a category, an item, a process, a particle, a display count, and a selection count in association with each other. When a category is associated with a keyword and a transaction category, it is not related to an account item (eg, travel expenses and salary allowances), but is in the same category (eg, person's name), but there is no candidate description phrase (eg: Employees who have not paid for transportation expenses in the past are displayed in the same category (example: person name) in the same category (ex. Can be extracted as a candidate) and can be used as a summary word candidate.

The items are associated with the contents of each item in the summary item configuration of the summary type table and keywords, and the keywords corresponding to the items in the summary item configuration can be used as summary word candidates. The process is performed by performing a specific process associated with the keyword, and adding a date or amount to the summary phrase candidate (eg, date is November 24, the amount is 50,000 yen, and the keyword is “rent”) If the date is a date, the summary phrase candidate can be displayed as “November rent”, and if the processing is an amount, the summary phrase candidate can be displayed as “rent 50,000 yen”. You don't have to register (ex. “November rent”, “December rent”, “October rent 50,000 yen”). However, if you register with "Monthly rent", you only need to register "Monthly rent" and "Rental 50,000 yen". As for the particle, when the summary information is created, the summary information of the natural sentence can be created by performing the sentence shaping process using the particle.

In addition to the items shown in FIG. 8, for example, a flag indicating whether or not to use a particle may be stored. The number of times of display is the number of times that the keyword is displayed as a summary phrase candidate. The number of times of selection is the number of times the keyword is selected from the summary phrase candidates. Weighting using the number of display times and the number of times of selection may be used to display frequently used account items and summary types related to account items in order of priority, and the person in charge may select them. By learning many summary types and providing feedback, an optimal keyword dictionary can be created for each company and year. A keyword dictionary for each company that reflects the latest trend may be created by optimizing each year.

More specifically, by using a company code selected from the company DB as a key, a description word / phrase included in the description information of matching journal data from the journal data DB is extracted from the keyword dictionary, and a keyword dictionary for each company is created. In addition, based on a reference setting (not shown) in which the occurrence time of the past transaction to be referred to is set, a target date that is the generation date of the transaction to be accounted for is acquired, and the target date and the reference Based on the settings, after determining the reference period for limiting the date of occurrence of the past transaction to be referred to, it is included in the summary data of the journal data that matches from the journal data DB using the reference period as a key A summary dictionary is extracted from the keyword dictionary to create a keyword dictionary for each year.

2 is an input device such as a keyboard or a mouse. The input unit 45 may be a touch panel or a pen input. The input unit 45 may be an input device such as a microphone for inputting voice, a camera for inputting images, a scanner, or the like.
The display unit 46 is a display device configured with an LCD (liquid crystal display) or the like.
The communication unit 49 is an interface that performs communication with a slip image reading device such as a scanner or an external device via a communication network.
Note that the computer in the present invention refers to an information processing apparatus including a control unit, a storage device, and the like, and the accounting processing apparatus 1 is an information processing device including the control unit 10, the storage unit 30, and the like. Included in the concept of computers.

<Processing of the accounting processing apparatus 1>
Next, processing by the accounting processing apparatus 1 will be described.
FIG. 9 is a flowchart showing processing in the accounting processing apparatus 1 according to the present embodiment.
A process according to the first embodiment will be described with reference to a flowchart. In addition, about another description example, such as Example 2, Example 3, and the modification of each Example, only the difference with Example 1 is described, and description of a common part is abbreviate | omitted.

  The person in charge (eg, accounting firm staff or accounting department employee) launches the accounting app, selects the company (eg: ABC Industries) that performs accounting processing, and the accounting year (eg: FY2017) and Set the date (for example, November 2017) to be processed. Company information including the fiscal year of the selected company is acquired from the company DB, and an accounting data input screen for the selected accounting process year is displayed (step S (hereinafter simply referred to as “S”) 101).

  Check the receipt and receipt for one transaction, and the transaction (date: November 20th), debit account (example: expense), credit account (example: cash), amount (example) : 8,000 yen). Note that receipts and receipts may be digitized in advance and input while displaying images for reference (S102).

  A descriptive item that is entered by referring to the item description pattern table (for example, debit item-accounting expenses) and a credit item (for example, credit item-cash) are used as a key for a matching description pattern (for example, "Taxi -Taro Taro, Taxi Fee -Higashi □ Business Entertainment-× Saburo Shima, Tsou Souvenir -To Higashi Commerce -Taro Taro, Tesou Souvenir- − ○ Taro ”etc.).

Since there are a plurality of matching pattern patterns using the debit item and the credit item as a key, a plurality of description patterns are collected to create a description pattern list. Prioritize the description pattern list in descending order of the number of registrations of the description pattern, and rearrange the description patterns (eg, “Taxi fare-Advance payment-○ Taro” (7 registrations), “Taxi fare − East” □ Commercial entertainment − × Saburo Shima (5 times registration), “Bus fee − To △ wood trading company − ○ Taro Tao − Business negotiation” (4 times registration), “Souvenir fee − East □ To trading company − ○ Tataro "(number of registrations 3 times)). From the rearranged summary pattern list, a summary pattern having the largest number of registrations (for example, summary pattern “taxi fare-replacement settlement- ○ Taro” (seven registrations)) is acquired (S103).

By referring to the keyword dictionary, the keywords are decomposed for each keyword from the description pattern list to obtain a description word and a description word phrase of each description pattern (for example, the number of description words from the description pattern “taxi fare-replacement check--Taro Taro” is 3 And “Taxis”, “Replacement Settlement”, and “Taro Taro”. Next, in the summary pattern list, the first summary phrase candidates are displayed from the summary pattern in the summary pattern list in descending order of the total number of summary phrases used. Specifically, the first summary phrase of each summary pattern in the summary pattern list is extracted, and the extracted summary phrases are arranged in descending order of priority (eg “taxi fare”, “souvenir charges”). Etc.) (S104).

“Non-selected” (fixed), which will be described later, and “Multiple description phrases narrowed down from the description pattern list in descending order of priority (eg,“ Taxi ”,“ Souvenir ”etc.)” (Variable) and “direct input” (fixed), which will be described later, are displayed in this order.
In addition, when a description word phrase overlaps in the extracted description word phrase, an exclusion process is performed to exclude the second and subsequent description words of the duplicate description word phrase (for example, in the case of the above four description patterns, the first description word phrase is “ Taxi fare, taxi fare, bus fare, and hand souvenir fare are acquired, but due to the exclusion process, the candidates are taxi fare, bus fare, and hand souvenir fare.

In addition, in the embodiment, the summary word candidates are displayed according to the priority order based on the number of registrations, but the keyword whose registration update date of the summary pattern matches the latest summary pattern, summary phrase usage count, summary phrase usage count, or summary phrase You may assign priorities based on the number of times displayed or selected, or the total number of summary terms used, the number of summary terms used, the number of registrations, the date of registration renewal, the number of times displayed, and the priority by weighting using the number of selections. May be attached.

A summary word candidate (eg, “taxi fare”) displayed in S104 is selected and confirmed as a summary word phrase (S105). The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as the summary phrase candidate is displayed. In addition, 1 is added to the number of selections of the selected summary word candidates, and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated. When the number of summary phrases acquired from the summary pattern acquired in S103 is 1 (S106: No), the process moves to S112.

If the number of summary words acquired from the description pattern acquired in S103 is 2 or more (S106: Yes), the processing from S108 to S111 is repeated by the number of summary words (S107).
By displaying the number of noun phrases as many as the number of noun phrases, the noun phrases are narrowed down in stages, and frequently used noun phrases and high-relevant noun phrases are appropriately displayed as noun phrase candidates. Is done.
The determination condition of S106 is determined based on the number of summary words being 2 or more, but any condition may be used as long as it is possible to determine whether the summary pattern has one or more summary words.

If there is one summary word / phrase registered in the summary pattern, it is displayed as a summary word / phrase candidate as it is, and the selected summary word / phrase candidate is confirmed as a summary. If there are no choices for the description phrase candidates, you can enter the description words directly, or the keywords associated with categories such as business partners and person names by disassembling each description phrase from the description information of journal data registered in the past A category such as a business partner or a person name may be selected from the dictionary to display summary word candidates. The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as the summary phrase candidate is displayed. In addition, 1 is added to the number of selections of the selected summary word candidates, and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated.

That is, when registering journal data in the journal data DB, 1 is added to the number of times of selection of the corresponding summary phrase or the corresponding summary phrase is added as a new keyword depending on the presence or absence of the summary phrase used in the summary information in the keyword dictionary. As an automatic registration, feedback to the keyword dictionary allows efficient registration of an optimal keyword that is frequently used for learning. In addition, when registering journal data in the journal data DB, 1 is added to the number of times of selecting a summary pattern matching the corresponding summary information or new corresponding summary information is added depending on whether or not the summary information is registered in the summary pattern table. By automatically registering a summary pattern as a summary pattern, the summary pattern table can be efficiently registered with the summary pattern table that is frequently used for learning by providing feedback to the summary pattern table.

In addition, a summary pattern (eg, “taxi fare − reimbursement payment − ○ Taro”, “taxi fare − east □ commercial entertainment” including the selected summary word candidate (eg “taxi fee”) from the summary pattern acquired in S103. -X Saburo "etc.) may be extracted (S108).

Extracts the next description phrase of the selected description phrase candidate from the extracted description pattern (because the selected description phrase candidate is the first phrase, the next description phrase is the second), and extracts the extracted description phrase as the description phrase candidate ( (Example: “advance payment”, “East business entertainment”, etc.) (S109).

In addition, a selection is made (for example, “advance payment”) from the displayed summary word candidates (eg, “advance payment”, “Higashi □ commercial entertainment”, etc.). 1 is added to the number of selections of the selected summary word candidates, and the keyword dictionary is updated (S110). When there are no choices in the summary word candidate, the summary word phrase may be directly input, or a category such as a business partner or a person name may be selected from the keyword dictionary to display the summary word phrase candidate. The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as the summary phrase candidate is displayed.

The selected summary word candidate selection (eg, “advance payment”) is combined with the confirmed summary word (eg, “taxi fee”) and confirmed as a summary word (S111). Although the processing of S111 is combined as it is in the present embodiment, it may be combined after the sentence shaping process is performed by adding a particle to the confirmed summary phrase.

Since there are a plurality of description patterns that match with the debit item and the credit item as keys, the specific contents of the modification are created by collecting a plurality of description patterns. A debit keyword (eg, taxi fee, advance payment, Taro Taro, etc.), which is a keyword associated with the debit item, is acquired from the keyword dictionary using a debit item (eg, debit item-accounting expense) as a key. Also, a credit keyword (eg, taxi fee, advance payment, cash payment, etc.), which is a keyword associated with the credit item, is acquired from the keyword dictionary using a credit item (eg, credit item-cash) as a key.

Next, by using the acquired debit keyword and credit keyword as keys, the corresponding description phrases are acquired for each description pattern from the description pattern list, and the number of description phrases used ("Description phrase (Description phrase used)" (E.g., “taxi fare (7 times)-advance payment (5 times)-○ Taro (4 times)”, “taxi fare (7 times)” Times)-× Shimasaburo (3 times), "Hand souvenir charges (5 times)-To Higashi □ Trading (5 times)-○ Tataro (4 times)", "Bus charges (5 times)-△ tree To Shokai (3 times)-○ Taro (4 times)-Business negotiations (5 times) ".

Summarize the number of usages of the description words / phrases for each of the description words / phrases acquired in the description pattern acquired in S103, and acquire the total number of usages of the description / phrases for each description pattern (displayed as “summary pattern (number of usage of the description words / phrases))” (example: "Taxi fee (7 times)-Advance payment (5 times)-Tataro (4 times)" (16 times), "Taxi fee (7 times)-East □ Business entertainment (3 times)-X Saburo Shima (3) Times) ”(13 times),“ hand souvenir charges (5 times)-To Higashi □ Trading (5 times)-○ Taro (4 times) ”(11 times),“ Bus charges (5 times)-△ tree To Shokai (3 times)-Business negotiations-○ Taro (4 times) "(12 times)).

Decompose all the description patterns included in the description pattern list and obtain the number of description words and description words (ex .: from the description pattern “Taxi fare-Replacement payment-○ Taro” (Retrieving payments and “Taro Taro” are obtained). Next, in the summary pattern list, sort the summary patterns in descending order of the sum of the number of summary phrases used (for example, “Taxi fare (7 times)-Advance payment (5 times)-○ Taro (4 times) Summary phrase number 3” ( 16 times), “Taxi fare (7 times)-Higashi □ Business entertainment (3 times)-X Saburo Shima (3 times) Summary number of phrases 3” (13 times), “Bus fee (5 times)” To (3 times)-○ Taro (4 times)-Negotiations (5 times) Number of summary phrases 4 "(12 times)," Souvenir charges (5 times)-To Higashi □ Trading (5 times)-○ Taro (4 times) Summary phrase number 3 ”(11 times)).

From the rearranged summary pattern list, a summary pattern having the largest total number of summary word phrases used (for example, summary pattern “taxi fare-replacement settlement- ○ Taro” (16 times)) is acquired (S103). The first summary word candidate is displayed from the summary pattern in the summary pattern list. Specifically, by extracting the first description words of each description pattern in the description pattern list, the description words are narrowed down step by step, and the extracted description words are extracted as candidate word phrases (eg, “taxi fare”, “handbook” Display "(S104).

The number of summary phrases is 3 from the summary pattern acquired in S103 (eg, summary pattern “taxi fare-replacement settlement--Taro Taro” (16 times, number of summary phrases 3)), and the top of the first summary phrase candidate is “ “Taxi” is the highest number in the second summary phrase, “Replacement Settlement”, and the last candidate summary phrase candidate is “Taro Taro”. Next, a summary pattern list in which the summary patterns are sorted in descending order of the total number of summary phrases used (example: taxi fare (number of summary phrases used: 7 times)-reimbursement settlement (number of summary phrases used: 5 times)-○ Taro ( Number of abstract words used: 4) Number of abstract words 3 ”(total number of abstract words used: 16 times),“ Taxi fare (7 times) − East □ Business entertainment (3 times) − × Saburo Shima (3 times) "Equation 3" (13 times), "Bus fee (5 times)-△ To Kishokai (3 times)-Tataro (4 times)-Negotiations (5 times) Summary phrase number 4" (12 times), " Souvenir charges (5 times)-To Higashi □ Trading company (5 times)-Tataro (4 times) Summary number of phrases 3 (11 times)), from the pattern list "taxi fare (7 times), Taxi fare (7 times), bus fare (5 times), and souvenirs (5 times) "are acquired, and the first summary word is obtained by the exclusion process Phrase candidates are “taxi fare (7 times), bus fare (5 times), and souvenirs (5 times)”.

Also, the second summary phrase candidate from the pattern list is “advance payment (5 times), Higashi □ Trading entertainment (3 times), △ To Ki Shokai (3 times), Higashi □ Trading (5 times)” It becomes. In addition, “Taro Taro (4 times), Saburo Shima (3 times), Taro Tada (4 times), Taro Tada (4 times)” is acquired from the pattern list, and the third summary is obtained by the exclusion process. The phrase candidates are “Taro Taro (4 times), Saburo Shima (3 times)”. In this embodiment, the summary patterns are displayed in descending order of priority based on the total number of summary phrases used, but may be changed to display in order of priority based on the number of summary phrases used when each summary phrase candidate is displayed. .

The input is confirmed as the summary information (eg, “taxi fare—replacement settlement— × Saburo Shima”) confirmed in S105. After creating journal data, register it in the journal DB. When the journal data is registered, it is checked whether the summary information of the journal data is in the subject summary pattern table as a summary pattern. If there is no summary pattern that matches the summary information (S112: No), the summary information (eg, “taxi” "Cash-advance payment-x Saburo Shima") is registered in the subject summary pattern table as a new summary pattern (S114). If there is a description pattern that matches the description information (S112: Yes), 1 is added to the registered number of registered description patterns and the subject description pattern table is updated (S113).

As another description example, it is necessary for transactions with date (eg: November 20), debit account item (eg: rent), credit account item (eg: cash), amount (eg: 5,000 yen) In the case of the pattern “Monthly parking lot fee − Second parking lot − Monthly amount”, the keyword dictionary is referred to, and the value of the keyword dictionary processing column of “Monthly parking lot fee” is “date”. “November parking lot” combined with the acquired “November” and the extracted “monthly parking lot” is displayed as a summary phrase candidate. “November parking lot fee” is displayed as a candidate for a short term, but “Monthly parking lot fee” is displayed as a candidate for a short term, and when “Monthly parking lot fee” is selected, “November parking lot fee” is displayed. "May be created and assigned to the summary information.

In addition, “5,000 yen” acquired from the date in S104 and S105 and “5,000 yen per month” combined with the extracted “monthly amount” are displayed as candidate phrases. “Monthly 5,000 Yen” is displayed as a candidate for description, but “Monthly” is displayed as a candidate for candidate, and “Monthly 5,000” is created when “Monthly” is selected. May be substituted into. In addition, when a new phrase is added to the description phrase when it is not in the description phrase candidate, select the direct entry (not shown) at the bottom of the description phrase candidate and select a new description phrase (for example, “Company car”). To enter. When the input is confirmed, it is registered in the keyword dictionary.

If the date or amount is included in the description information, such as “November parking fee-second parking lot-monthly fee 5,000 yen-company car” when registering in the subject description pattern table in S106 In addition, after removing the number part of the date for the date and removing the number and unit such as yen for the amount, a new "monthly parking fee-second parking lot-monthly amount-company car" was newly added. To the subject description pattern table as a simple description pattern.
In this example, the description information is created from the description pattern, but when creating the description information, refer to the subject description table, set the corresponding description type, and then extract the description pattern and extract the description information. You may make it create.

By this example, the person in charge can easily create the description information by selecting the description phrase without registering the description information in advance or manually inputting the description information when inputting journal data. This has the effect of reducing the trouble of inputting journal data. Further, information relating to a transaction necessary for selecting an account item can be created as summary information. Further, by repeating the selection, the accuracy of the summary word candidate can be improved, and the summary word candidate as if they are linked can be displayed for each item even if the preceding and following words are not associated with each other.

Furthermore, by registering the created summary information and the selected summary phrase and feeding back the registered summary information to the summary pattern table and keyword dictionary, it is possible to create summary information and the summary phrase candidate by repeating learning of the summary information and summary phrase. The accuracy of display can be improved, and appropriate description information can be created and appropriate description word candidates can be displayed. "Narrow down in stages"

The first embodiment creates the summary information using the subject summary pattern table in which the debit and credit account items and the summary pattern are associated with each other, while the second embodiment explains the process of creating the summary information with the flowchart of FIG. To do.

Since the processing up to the display of the accounting data input screen is the same as that in S101, the description is omitted. Check the receipt and receipt for one transaction, and the date (eg: November 20), amount (eg: 8,000 yen), debit account (eg: travel expenses), credit An account item (eg, cash) is input (S201).

A debit summary type (eg, “traffic”), which is a corresponding summary type, is acquired by referring to the subject summary table for the input debit account item (eg: travel expense) (S202).

  Refer to the item description table for the entered credit account item (eg, cash), and the corresponding credit category type (eg, “Food & Drink”, “Transport”, “Purchase of Goods”, “Other Payments”) Etc.) (S203).

The control unit compares the debit summary type acquired in S202 (eg “traffic”) with the credit summary type acquired in S203 (eg “food”, “transport”, “goods purchase”, “other payment”, etc.). The matching summary type (for example, “traffic”) is set as the debit summary type and the credit summary type. When there are a plurality of matching summary types, they may be displayed as a list and selected, or priority may be set for the summary types and a higher priority may be set (S204).

Summary item configuration of the summary type (eg, “transport”) set in the debit summary type (or credit summary type) with reference to the summary type table (eg, “transport” —number of items 7 “traffic / fare / content / Payment destination / visit destination / reason for visit ") is acquired (S205).

Based on the summary item configuration acquired in S205, keywords (summary phrases) associated with the account items from the keyword dictionary for each item are displayed as summary word candidates in descending order of priority (S207). The priority order is set based on the number of display times, the number of selection times, and the like. The keyword dictionary is updated by adding 1 to the number of times the keyword corresponding to the summary word phrase of the displayed summary word candidate is displayed.

A summary word / phrase is selected from the summary word / phrase candidates displayed in S205. The selected summary word candidate is confirmed as a summary word phrase, and the keyword dictionary is updated by adding 1 to the number of times the keyword corresponding to the confirmed summary phrase is selected.
(S208).

The processing of S207 and S208 is repeated for the number of items of the summary item configuration acquired in S205 (for example, the number of items is 7) (S206).

The summary word candidates selected in each item are combined in the order of the summary item configuration acquired in S205 and created as summary information (S209). Specifically, if the number of items is 2, the candidate description phrase selected in item 2 is substituted (confirmed) as a description phrase (eg, taxi fee), and the description phrase (assigned to item 1 (eg, traffic)) ( (Example: 8,000 yen) followed by the summary phrase assigned to item 2 (example: fare) is combined to create summary information (example: taxi fare 8,000 yen).
In the embodiment, they are combined as they are, but they may be combined after a sentence shaping process is performed by adding a particle to the summary phrase candidate selected in each item.

  The summary information created in S209 is input, journal data is created, and then registered in the journal DB. Note that the summary information input this time may be registered as a summary pattern.

S207 and S208 will be described using a specific example. If the date (eg: November 20), amount (eg: 8,000 yen), or debit account item (eg: travel expenses), the description type will be “Transport”, refer to the description type table In S207, the summary item configuration ("transportation"-"transportation / fare / content / payment destination / visit destination / visit reason") is acquired.

For the item “traffic”, a keyword matching the debit account item “travel expense” and the item “traffic” is searched from the keyword dictionary and acquired as a summary phrase candidate. Because the keyword obtained from the keyword dictionary has a value of “None” in the keyword dictionary, the keywords associated with the account item (eg travel expenses) are taxi candidates, such as “taxi fare” and “bus fare”. If you select “Taxi fare” (7 times for selection), “Bus fare” (5 times for selection), etc. “Taxi fare” is assigned to and the next item “Fare” is set.

The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as a summary phrase candidate such as “taxi fare” or “bus fare” is displayed. Further, 1 is added to the number of selections of the selected “taxi fee” (the number of selections is 7) (the number of selections is 8 times), and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated.

Next, for the item “freight”, a keyword that matches the debit account item “travel expense” and the item “freight” is searched from the keyword dictionary and acquired as a summary phrase candidate. The keyword “Fare”, “Fare”, etc. that are obtained from the keyword dictionary have the value in the processing field of the keyword dictionary as “Amount”, so “Fare”, “Fare”, etc. are displayed as candidate phrases, and “Fare” is displayed. When selected, “fare 8,000 yen” obtained by combining the summary phrase candidate “fare” and the amount “8,000 yen” is substituted for the item “fare”, and the next item “content” is set.

The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as a summary phrase candidate such as “fare” or “charge” is displayed. Further, 1 is added to the selected number of times of the “fare”, and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated. If you do not want to enter a fare, prepare an input skip item such as “Non-selected” on the candidate phrase, and if you select an input skip item such as “Not selected” as the description phrase, enter the item “Fare”. "Is assigned a null character.

Next, for the item “content”, a keyword that matches the debit account item “travel expense” and the item “content” is searched from the keyword dictionary and acquired as a summary phrase candidate. The keywords acquired from the keyword dictionary, such as “advance payment”, “entertainment”, etc., have a value of “none” in the processing field of the keyword dictionary, so “advance adjustment”, “entertainment”, etc. are displayed as candidate phrase phrases, If “Select” is selected, a null character is substituted for the item “content”, and the next item “payee” is set. The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as a summary phrase candidate such as “advance payment” or “entertainment” is displayed.

Next, for the item “payee”, a keyword that matches the debit account item “travel expense” and the item “payee” is searched from the keyword dictionary and acquired as a summary phrase candidate. The keywords obtained from the keyword dictionary, such as “□ Kyo taxi” and “Miyako bus”, have “None” in the keyword dictionary, so “□ Kyo taxi”, “Miyako bus”, etc. When “□ Kyo taxi” is selected, “□ Kyo taxi” is assigned to the item “payee”, and the next item “visit destination” is set. The keyword dictionary is updated by adding 1 to the number of times the summary phrase displayed as a summary phrase candidate such as “□ Kyo taxi” or “Miyako bus” is displayed.

In addition, 1 is added to the selected number of times of “□ Kyo taxi”, and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated.

Next, with respect to the item “visit destination”, a keyword that matches the debit account item “travel expense” and the item “visit destination” is searched from the keyword dictionary, and is acquired as a summary phrase candidate. The keywords acquired from the keyword dictionary, such as “Higashi □ Shoji” and “△ Ki Shokai”, have a value of “None” in the keyword dictionary processing column, so “East □ Shoji”, “△ Ki Shokai”, etc. are candidate phrases. When “unselected” is selected, an empty character is substituted for the item “visit destination”, and the next item “reason for visiting” is set. The keyword dictionary is updated by adding 1 to the number of times the summary word phrase displayed as a short word candidate such as “East □ Shoji” or “Δ Tree Shokai” is displayed.

Next, for the item “reason for visit”, a keyword that matches the debit account item “travel expense” and the item “reason for visit” is searched from the keyword dictionary, and is acquired as a summary phrase candidate. The keywords obtained from the keyword dictionary, such as “customer turnaround” and “negotiations”, have the value of “None” in the keyword dictionary processing column, so “customer turnaround”, “negotiations”, etc. are displayed as summary phrase candidates. If “advance” is selected, “customer preference” is assigned to the item “reason for visit” and there is no next item, so the process proceeds to S206.

The keyword dictionary is updated by adding 1 to the number of times that the summary phrase displayed as a summary phrase candidate such as “customer turnaround” or “business negotiation” is displayed. Further, 1 is added to the selected number of times of “customer turn” and the keyword dictionary is updated. In this embodiment, both the number of display times and the number of selection times are updated. However, only the items used in the priority order may be updated.

  Through S206, “Taxi fare 8,000 yen (empty character) □ Kyo taxi customer service” is input as summary information. When text formatting processing is performed, “Fare 8,000 yen as a taxi fare (empty character) □ Kyo taxi for customers” is entered.

By this example, the person in charge can easily create the description information by selecting the description phrase without registering the description information in advance or manually inputting the description information when inputting journal data. This has the effect of reducing the trouble of inputting journal data. Further, information relating to a transaction necessary for selecting an account item can be created as summary information.

Further, by repeating the selection, the accuracy of the summary word candidate can be improved, and the summary word candidate as if they are linked can be displayed for each item even if the preceding and following words are not associated with each other. Furthermore, by registering the created summary information and the selected summary phrase and feeding back the registered summary information to the summary pattern table and keyword dictionary, it is possible to create summary information and the summary phrase candidate by repeating learning of the summary information and summary phrase. The accuracy of display can be improved, and appropriate description information can be created and appropriate description word candidates can be displayed.

The first embodiment and the second embodiment select summary word candidates and create summary information, while the third embodiment describes a process of automatically creating summary information with the flowchart of FIG.

Since the processing up to the display of the accounting data input screen is the same as that in S101, the description is omitted. Receipts and receipts are digitized in advance and displayed while referring to images, and the contents of the receipts and receipts (eg, convenience store E, book fee, one magazine, 300 yen) are stored in advance, such as OCR. It is converted into text by character recognition processing and associated with an image (S301).

While looking at the image of the receipt (ex: convenience store E, book price, magazine, 1 copy, 300 yen), the transaction (for example: November 20), amount (example: 300 yen), debit account (example: newspaper) (Book expenses) and credit account item (eg, cash) are input (S302).

  Description patterns corresponding to the account items entered with reference to the item description pattern table (eg, debit item-news book expenses, credit item-cash) (eg, "book fee-magazine A-convenience store E", "book fee -Magazine B-D bookstore "," Newspaper fee-Newspaper C-○ Taro "etc.) are acquired (S303).

  Referring to the item description table, the debit account type (for example, “purchase of goods”) that is the description type corresponding to the input debit account item (for example, newspaper book expenses) and the credit account item (for example, cash) ) And the corresponding summary type (for example, “Food & Drink”, “Transport”, “Purchase of goods”, “Other payments”, etc.) are compared by the control unit, and the corresponding summary type (eg: “Purchase of goods” ]) Is set as the debit summary type and credit summary type. If there are multiple matching summary types, they can be displayed as a list, and you can select from the displayed list. You can also set a priority for the summary type and automatically set a high priority among the matching summary types. You may make it carry out (S304).

The description type becomes “purchase article”, and the description item configuration (“item purchase” — “item purchase / book price / content / item name / payee / quantity / amount”) is acquired in S304 by referring to the description type table ( S305).

  Summary pattern acquired in S303 (e.g., "book price-magazine A-convenience store E-1 volume", "book price-magazine B-D bookstore-1 volume", "newspaper price-newspaper C-convenience store E-1 copy" Etc.) to extract a summary pattern (eg, “book price—magazine A—convenience store E—one book”) that matches the receipt content (eg: convenience store E, one book magazine, 300 yen) from S301 (S306). .

  The summary pattern extracted in S306 is disassembled to obtain a summary phrase (S307), and the summary item configuration obtained in S305 (“article purchase” — “article purchase / book price / content / article name / payee / quantity / amount” ) Is substituted with the summary phrase obtained while referring to the keyword dictionary, and the summary information ("purchase article / book fee / content (example: magazine A) / article name (example: month issue) / payee (example: convenience store E)" / Quantity (example: one volume) / amount (example: amount) ") is automatically created (S308).

Since the value in the processing column of the keyword dictionary for the product name “Month issue” is “Date”, “November” and “Month issue” acquired from the input date (eg, November 20) are combined to obtain “11 "Monthly issue" is substituted into the item name item. In addition, since it is a monetary item, a description of “money” is added, and since the value in the processing field of the keyword dictionary is “money”, it is combined with “300 yen” obtained from the inputted monetary amount (eg, 300 yen). “300 yen” may be substituted for the item of money, or “300 yen” acquired from the input amount (eg, 300 yen) may be substituted as it is for the item of money.
Therefore, summary information (“article purchase / book price / content (example: magazine A) / item name (example: November issue) / payee (example: convenience store E) / quantity (example: one volume) / amount (example: An amount of 300 yen))) is automatically created.

If there is a description pattern that matches the description information (S309: Yes), 1 is added to the registered number of registered description patterns (S310), the subject description pattern table is updated, and there is no match (S309: No) is added to the subject summary pattern table (S311).

According to this embodiment, the person in charge can automatically create the summary information without registering the summary information in advance or selecting the summary word / phrase when inputting the journal data, thereby reducing the trouble of inputting the journal data. effective. In addition, by registering automatically created summary information and feeding back the registered summary information and selected summary phrases to the summary pattern table and keyword dictionary, the summary information is repeatedly learned to increase the accuracy of summary information creation. Appropriate summary information can be automatically created if the text can be obtained from the image of the letter or receipt.

  Furthermore, the processing in the present embodiment may be realized by software. Then, this software may be distributed by software download or the like. Further, this software may be recorded and distributed on a recording medium such as a CD-ROM. This also applies to other embodiments in this specification. Note that the software that implements the information processing apparatus according to the present embodiment is the following program. In other words, this program may be a program that executes the first to third embodiments or a modification of those embodiments.

As described above, the accounting processing apparatus, accounting processing method, and accounting processing program according to the present invention allow the person in charge to register the summary information without registering the summary information in advance or selecting a summary phrase when inputting journal data. It can be automatically created and has the effect of reducing the labor of inputting journal data, and is useful as an accounting processing apparatus, accounting processing method, accounting processing program, and the like.

DESCRIPTION OF SYMBOLS 1 Accounting processing apparatus 1a Server apparatus 1b Terminal 10 Control part 30 Storage part 31 Company DB
32 Journal Data DB
33 Subject summary table 34 Summary type table 35 Subject summary pattern table 36 Keyword dictionary 45 Input unit 46 Display unit 49 Communication unit

Claims (23)

A means of accepting input of accounts,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Means to extract a matching description pattern using as a key,
Means for creating a summary pattern list from the extracted summary patterns;
Means for prioritizing the summary pattern list in descending order of registration times of the summary pattern;
Refer to the keyword dictionary that is registered as a keyword that associates the category that indicates the transaction contents with the description item related to the entered account item, and decomposes each keyword from the description pattern list, and the number of description words and the number of description words in each description pattern Means for obtaining
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising: means for repeating the processing including the first means and the second means by the number of summary words / phrases of the summary pattern having the largest number of registrations. A means of accepting input of accounts,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Means to extract a matching description pattern using as a key,
Means for creating a summary pattern list from the extracted summary patterns;
The keyword associated with the relevant account on the debit side using the account entered in the debit with reference to the keyword dictionary that is registered as a keyword that associates the category indicating the transaction contents with the summary phrase related to the entered account A means of obtaining a debit keyword that is
Means for acquiring a credit keyword that is a keyword associated with the account item on the credit side using the account item entered in the credit with reference to the keyword dictionary as a key;
Means for counting the number of description terms that match each of the description patterns from the description pattern list as a key for the debit keyword and the credit keyword, respectively,
A means for totaling the number of usages of the summary words and phrases used by summing up the number of usages of the summary words for each of the summary patterns;
Means for prioritizing in descending order of the total number of usage of the summary phrases;
Means for decomposing each keyword from the summary pattern list to obtain a summary word and the number of summary words of each summary pattern;
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising: means for repeating the processing including the first means and the second means by the number of summary words of the summary pattern having the largest total number of summary phrases used. A means of accepting input of accounts,
Debit corresponding to the debit account with the account entered in the debit referring to the item description table registered in association with the entered account and the description type that classifies the transaction contents and transaction status for each transaction category A means of obtaining a summary type;
Means for acquiring a credit description type corresponding to a credit account item with the account item input to the credit as a key with reference to the item description table;
Means for comparing the debit summary type with the credit summary type;
Means for extracting a matching summary type from the debit summary type and the credit summary type;
A summary item with the extracted summary type as a key by referring to a summary type table that associates and registers a summary item configuration that is a combination of summary items, which is a combination of summary items that are broken down by keyword for each transaction and transaction status. Means for obtaining the number and summary item structure;
Means for acquiring a keyword having a high priority for each item of the summary item configuration with reference to a keyword dictionary that is registered as a keyword that associates a category indicating transaction content with the summary term related to the input account item;
A first means for displaying the acquired summary phrases as summary phrase candidates in order of priority;
A second means for confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing apparatus comprising: means for repeating the processing including the first means and the second means by the number of the summary items. The accounting apparatus according to claim 1 or 2, wherein
Means for converting the original voucher indicating the transaction contents into image data;
Means for extracting text information from the image data;
Means for referring to the keyword dictionary and decomposing text information as an input keyword for each keyword;
Means for referring to the subject summary pattern table and obtaining a summary pattern having the largest number of matches with the input keyword using the input keyword as a key;
An accounting processing apparatus comprising: means for automatically creating summary information based on the obtained summary pattern. The accounting apparatus according to claim 3,
Means for converting the original voucher indicating the transaction contents into image data;
Means for extracting text information from the image data;
Means for referring to the keyword dictionary and decomposing text information as an input keyword for each keyword;
An accounting processing apparatus comprising: means for automatically creating summary information by setting the input keyword to each item of the summary item configuration. The accounting apparatus according to any one of claims 1 to 5,
Means for creating journal data including the account item and the description information from the description information generated from the account item and the fixed description phrase;
An accounting processing apparatus comprising: means for registering the journal data in a journal data DB. The accounting processing device according to claim 1, wherein:
Means for creating journal data including summary information created from the account item and the confirmed summary phrase ;
When registering the journal data in the journal data DB, 1 is added to the number of selections of the corresponding summary phrase depending on the presence or absence of the summary phrase used in the summary information in the keyword dictionary, or the corresponding summary phrase is used as a new keyword. The first means to register automatically,
An accounting processing apparatus comprising: means for feeding back to the keyword dictionary by the first means. The accounting processing device according to any one of claims 1, 2, and 4,
Means for creating journal data including the account item and the summary information;
When registering the journal data in the journal data DB, 1 is added to the number of times of selecting a summary pattern that matches the summary information or new summary information is added depending on whether or not the summary information is registered in the subject summary pattern table. A first means of automatically registering as a description pattern;
An accounting processing apparatus comprising: means for feeding back to the subject summary pattern table by the first means. The accounting apparatus according to claim 1, wherein
When the summary phrase includes at least one of the characters of date or amount, the summary phrase obtained by removing the date or amount portion from the summary phrase is automatically registered as a new keyword when registering in the keyword dictionary. Means of
An accounting processing apparatus comprising: means for feeding back to the keyword dictionary by the first means. The accounting processing apparatus according to any one of claims 1, 2, 4, and 8,
When the description information includes at least one of the characters of date or amount, the description information obtained by removing the date or the amount from the description phrase is automatically registered as a new description pattern when registering in the subject description pattern table. The first means,
An accounting processing apparatus comprising: means for feeding back to the subject summary pattern table by the first means. The accounting processing device according to claim 1, wherein
A means of accepting the input of the company performing the accounting process;
Means for obtaining the company code of the company entered by referring to the company DB in which the company information to be accounted for is registered;
Means for registering journal data including summary information created from the account item and the confirmed summary phrase in the journal data DB;
Means for acquiring matching journal data from the journal data DB using the acquired company code as a key;
Means for extracting a description phrase included in the description information of the journal data acquired by referring to the keyword dictionary;
An accounting processing apparatus comprising: means for creating a keyword dictionary for each company based on the extracted summary phrase. The accounting apparatus according to any one of claims 1, 2, 4, 8, and 10,
A means of accepting the input of the company performing the accounting process;
Means for obtaining the company code of the company entered by referring to the company DB in which the company information to be accounted for is registered;
Means for registering journal data including summary information created from the account item and the confirmed summary phrase in the journal data DB;
Means for acquiring matching journal data from the journal data DB using the acquired company code as a key;
Means for extracting a description pattern that matches the description information of the journal data acquired by referring to the subject description pattern table;
An accounting processing apparatus comprising: means for creating a subject summary pattern table for each company based on the extracted summary pattern. The accounting processing apparatus according to claim 1, wherein:
A means of obtaining a target date that is the date of occurrence of the transaction subject to accounting;
Means for determining a reference period for limiting the date of occurrence of the past transaction to be referred to based on the reference setting in which the occurrence time of the past transaction to be referenced is set and the target year and month;
Means for registering journal data including summary information created from the account item and the confirmed summary phrase in the journal data DB;
Means for extracting journal data corresponding to the reference period from the journal data DB ;
The accounting processing apparatus according to claim 1, further comprising means for creating a keyword dictionary for each company based on the extracted journal data. The accounting apparatus according to any one of claims 1, 2, 4, 8, 10, and 12,
A means of obtaining a target date that is the date of occurrence of the transaction subject to accounting;
Means for determining a reference period for limiting the date of occurrence of the past transaction to be referred to based on the reference setting in which the occurrence time of the past transaction to be referenced is set and the target year and month;
Means for registering journal data including summary information created from the account item and the confirmed summary phrase in the journal data DB;
Means for extracting journal data corresponding to the reference period from the journal data DB ;
An accounting processing apparatus comprising: means for creating a subject summary pattern table for each company entered by referring to a company DB in which company information registered for accounting processing is registered based on the extracted journal data . Computer
A step of accepting input of an account,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extracting a matching description pattern using as a key;
Creating a summary pattern list from the extracted summary patterns;
Prioritizing the summary pattern list in descending order of the number of registrations of the summary pattern;
Refer to the keyword dictionary that is registered as a keyword that associates the category that indicates the transaction contents with the description item related to the entered account item, and decomposes each keyword from the description pattern list, and the number of description words and the number of description words in each description pattern Step to get the
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing method comprising: executing a process including the first step and the second step by the number of summary phrases of the summary pattern having the largest number of registrations. Computer
A step of accepting input of an account,
The account entered in the debit and the account entered in the credit by referring to the item description pattern table that is registered by associating the entered account with the description pattern, which is a combination of one or more description words constituting the description information Extracting a matching description pattern using as a key;
Creating a summary pattern list from the extracted summary patterns;
The keyword associated with the relevant account on the debit side using the account entered in the debit with reference to the keyword dictionary that is registered as a keyword that associates the category indicating the transaction contents with the summary phrase related to the entered account Obtaining a debit keyword that is,
Obtaining a credit keyword that is a keyword associated with the account item on the credit side using the account item entered in the credit with reference to the keyword dictionary as a key;
Totaling the number of description terms that match the debit keyword and the credit keyword as a key for each description pattern from the description pattern list,
Summing up the total number of usages of the summary words and phrases used for each summary pattern; and
Prioritizing in descending order of the total number of summary phrases used;
Decomposing each keyword from the summary pattern list to obtain a summary word and the number of summary words of each summary pattern;
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting processing method comprising: executing a process including a first step and a second step by a number of times of the number of summary phrases of the summary pattern having the largest total number of summary phrases used. Computer
A step of accepting input of an account,
Debit corresponding to the debit account with the account entered in the debit referring to the item description table registered in association with the entered account and the description type that classifies the transaction contents and transaction status for each transaction category Obtaining a description type; and
Obtaining a credit description type corresponding to the credit account item using the account item entered in the credit with reference to the item description table as a key;
Comparing the debit summary type with the credit summary type;
Extracting a matching summary type from the debit summary type and the credit summary type;
A summary item with the extracted summary type as a key by referring to a summary type table that associates and registers a summary item configuration that is a combination of summary items, which is a combination of summary items that are broken down by keyword for each transaction and transaction status. Obtaining the number and summary item configuration;
Obtaining a keyword having a high priority for each item of the summary item configuration with reference to a keyword dictionary registered as a keyword in which a category indicating transaction contents is associated with a summary phrase related to the input account item;
A first step of displaying the acquired summary phrases as a summary phrase candidate in order of priority,
A second step of confirming a summary word candidate selected from the displayed summary word candidates as a summary word;
An accounting method, comprising: executing a process including a first step and a second step as many times as the number of summary items. The accounting method according to claim 15 or claim 16,
Computer
Converting the primitive voucher indicating the transaction contents into image data;
Extracting text information from the image data;
Decomposing text information for each keyword as an input keyword with reference to the keyword dictionary;
Obtaining a description pattern with the largest number of matches with
And a step of automatically creating summary information based on the obtained summary pattern. The accounting method according to claim 17,
Computer
Converting the primitive voucher indicating the transaction contents into image data;
Extracting text information from the image data;
Decomposing text information for each keyword as an input keyword with reference to the keyword dictionary;
An accounting processing method comprising: automatically creating summary information by setting the input keyword to each item of the summary item configuration. The accounting method according to any one of claims 15 to 19,
Computer
Creating journal data including the account item and the description information from the description information generated from the account item and the fixed description phrase;
And a step of registering the journal data in a journal data DB. The accounting method according to claim 15 to 20, wherein
Computer
Creating journal data including summary information created from the account item and a fixed description phrase ;
When registering the journal data in the journal data DB, 1 is added to the number of selections of the corresponding summary phrase depending on the presence or absence of the summary phrase used in the summary information in the keyword dictionary, or the corresponding summary phrase is used as a new keyword. The first step to register automatically,
And a step of feeding back to the keyword dictionary in the first step. The accounting method according to any one of claims 15, 16 and 18, comprising:
Computer
Creating journal data including the account item and the description information;
When registering the journal data in the journal data DB, 1 is added to the number of times of selecting a summary pattern that matches the summary information or new summary information is added depending on whether or not the summary information is registered in the subject summary pattern table. A first step that automatically registers as a description pattern;
And a step of feeding back to the subject summary pattern table in the first step. A program for causing a computer to function as the accounting processing apparatus according to any one of claims 1 to 14.