JP6528074B1 - Accounting processor, accounting method, accounting program - Google Patents

Abstract

[Problem] In the conventional accounting apparatus, accounting method and accounting program, there has been a problem that it is necessary to register abstracts and the like in advance. [Solution means] An accounting processing apparatus having a summary determination support function for determining corresponding summary information from an input account name, which is one or more summary terms constituting summary information, and an input category A key word dictionary that registers the associated excise word as a keyword, and a storage unit 30 that stores a disclaimer pattern that associates the account item and the disclaimer information, and the account item input debited matches the account item input credited as a key The accounting processing apparatus is characterized by displaying control terms for obtaining an abstract pattern to be performed, and abstract terms divided into each keyword by referring to the keyword dictionary from the matched abstract pattern in descending order of usage frequency as an abstract term candidate You can create summary information without having to register in advance. [Selected figure] Figure 9

Description

  The present invention relates to preparation of summary information from accounts.

  In the conventional accounting processing apparatus, there is one that simply creates a journal entry simply by inputting an account item by registering a past journal entry as a journal entry in a dictionary and using it as a journal entry dictionary for fixed transactions that occur monthly. (See, for example, Patent Document 1). In addition, some accounts can be entered automatically by simply selecting the character string of the abstract by using the abstract dictionary in which the account text related to the abstract character string (phrase) is registered, and the journal entry can be easily created automatically ( See, for example, Patent Document 2).

Japanese Patent Application Publication No. 06-052196 JP 2003-331209 A

However, Patent Document 1 can use the journal dictionary as it is for fixed transactions having the same account items and the same summary information except for the amount of electricity, etc. generated each month when the conventional journal dictionary is used. If they are different, there is a problem that they have to be input again. In addition, there is a problem that it is necessary to register in advance in the journal dictionary the summary information of frequently occurring journals and journals frequently used by the person in charge.
Further, Patent Document 2 can easily create a journal entry by selecting the subject information and selecting the subject information after selecting the subject, but there was a problem that it is necessary to register the payee information in the disclosing dictionary in advance. . Also, although the transaction content is registered in the summary dictionary as the summary information, the registered transaction content is a regular transaction content, and the transaction content (eg: food and drink etc.) is the same and the account item (eg There is a problem that the check of the contents of the transaction becomes insufficient because the transaction situation is unknown when the expenses etc. are different.

The first invention refers to an item summary pattern table in which an input unit for accepting an input of an account item and a summary pattern which is a combination of one or more abstract terms constituting the summary information and the input account item are registered in association with each other. Extracting means for extracting a payoff pattern that matches the debited account item and the credited payer account item, means for creating a payoff pattern list from the extracted payback pattern, and A means having a function of registering priority order information of the summary pattern, a first means of displaying the summary patterns acquired from the summary pattern list as a summary sentence candidate in order of high priority, and the summary text candidate displayed And a second means for determining a summary sentence candidate selected from among the summary sentences as a summary sentence. It is a device.
A second invention is a means for receiving an input of an account item,
Account items entered into credit and debited with reference to the item summary pattern table, which is registered by associating the account pattern and the account pattern, which is a combination of one or more abstract terms that make up the summary information Means for extracting a corresponding payoff pattern with the
A means for creating a summary pattern list from the summary patterns extracted;
A means having a function of registering priority information of the summary pattern on the summary pattern list;
Refer to the keyword dictionary which is registered as a keyword in which the category showing the transaction content is associated with the account terms and items entered, and referring to the keyword pattern from the summary pattern list with reference to the keyword dictionary, the summary terms and number of summary terms of each summary pattern Means to obtain
A first means for displaying the acquired summary words and phrases as the summary word candidates in descending order of priority;
A second means for determining as a summary phrase a summary phrase candidate selected from the displayed summary phrase candidates;
An accounting processing apparatus comprising: means for repeating the process including the first means and the second means by the number of the number of words / phrases in the highest priority summary pattern based on the priority information of the summary pattern. It is.
A third invention is the accounting processing device according to the first invention or the second invention,
The extraction means is characterized by referring to the subject summary pattern table and extracting a summary pattern that matches at least one of a tax classification code, a tax code and a department name associated with the summary pattern as a key. It is an accounting processor.
A fourth invention is the accounting processing device according to the first invention to the third invention, wherein the input means further receives an input of an amount, and the extraction means refers to the subject summary pattern table and the summary It is an accounting processing device characterized by extracting a corresponding payment pattern using the amount of money associated with the pattern as a key.
A fifth invention is the accounting processing device according to any of the first invention to the third invention, wherein the input means further receives an input of an amount, and sets an account item as a reference object of a ratio of the amount as a target account item. Specify a ratio which is a ratio of the input amount to the total amount of the target account item, and the extraction means refers to the subject summary pattern table and further corresponds to the summary pattern using the ratio associated with the summary pattern as a key It is an accounting processing device characterized by extracting.
A sixth invention is the accounting processing apparatus according to the first invention to the third invention, further comprising: means for registering journal data including at least an account item and an amount in the journal data DB, and the input means further comprising: The input of the amount of money is received, and the amount of money is generated based on the random number according to the predetermined probability distribution calculated based on the amount of all the journal data included in the journal data DB, and the extraction means refers to the item summary pattern table According to another aspect of the present invention, there is provided an accounting processing apparatus, characterized by extracting a corresponding payment pattern using the calculated amount associated with the payment pattern as a key.
The seventh invention refers to the item summary pattern table including evaluation information for each of the transaction configuration parameters associated with accounts for a plurality of transactions belonging to any transaction category, and evaluates each of the transaction configuration parameters for each of the description patterns. Means for extracting transaction configuration information indicating the affiliation of each of the above-mentioned summary patterns by classifying (clustering) the summary patterns whose information configurations are similar to each other for each predetermined word group having the same transaction configuration, and the transaction It is characterized by comprising means for acquiring the above-mentioned introductory pattern which is an optimal combination of account item for transaction, taxation classification code and tax code by selecting the above-mentioned introductory pattern from each transaction composition based on the configuration information. Accounting processor.
The eighth invention refers to a means for accepting input of account items, deduction type in which transaction contents and transaction status are classified for each transaction category, and item account table registered in association with the input account items and input debit A means for acquiring a debit account item and a corresponding debit note type using the account item as a key, and a credit item account corresponding to a credit account item using the account item credited with reference to the item summary table A means for acquiring a type, a means for comparing a debit payment type and the credit payment type, a means for extracting a payment type that corresponds from the debit payment type and the credit payment type, and the transaction content and transaction status broken down for each keyword The above-mentioned summary types extracted with reference to the summary type table which associates and registers the summary of the summary of the summary item, which is a combination of summary items grouped by category. A plurality of transactions belonging to any transaction category of the keyword dictionary registered as a key word associating the category showing the transaction content with the means for acquiring the number of abstract items and the abstract item configuration as a key and the abstract terms related to the input account Refers to the evaluation information for each transaction configuration parameter associated with the account for the item, and classifies keywords having similar configurations of evaluation information for each transaction configuration parameter of each keyword into predetermined word groups having the same transaction configuration ( Means for extracting transaction configuration information indicating the affiliation of each of the keywords by clustering), and selecting keywords from each of the transaction configurations based on the transaction configuration information, it is optimal for each of the items of the introductory item configuration Means for acquiring a keyword as a summary phrase, and giving priority to the acquired summary phrase as a summary phrase candidate A process including a first means for displaying in descending order of rank, a second means for determining the excise-phrase candidate selected from the displayed excise-phrase candidates as the excise-phrase, and a process including the first means and the second means And means for repeating the process as many as the number of items of the summary item.
A ninth invention is the accounting processing device according to any of the first invention to the eighth invention, which is a means for converting image data of a source voucher indicating transaction contents into image data, and a means for extracting text information from the image data. Means for decomposing text information as an input keyword with reference to the keyword dictionary and associating the determined abstract phrase with the input keyword, and means for automatically creating the summary information from the determined abstract phrase; An accounting processing apparatus comprising: means for associating the summary information with the image data.
A tenth invention is an accounting processing device according to any one of the first invention to the ninth invention, wherein the account item, the tax classification code, the tax rate are derived from the account information and the account information prepared from the determined account phrase. The accounting processing apparatus is characterized by comprising means for creating journal data including a code and the summary information, and means for registering the journal data in the journal data DB.
An eleventh aspect of the present invention is the accounting processing device according to the tenth aspect, wherein means for creating journal data including the account item and the summary information, and when registering the journal data in the journal data DB, A first means for adding 1 to the number of times of selection of the corresponding abstract word or automatically registering the corresponding abstract word as a new keyword according to the presence or absence of the abstract word used in the abstract information in the keyword dictionary; And means for feedback to the keyword dictionary by means of the above.
A twelfth invention is the accounting processing device according to any of the tenth invention, and means for creating journal data including the account item and the summary information, and registers the journal data in the journal data DB. The first addition of 1 to the number of times of selection of the payment pattern matching the relevant payment information or the automatic registration of the corresponding payment information as a new payment pattern according to the presence or absence of registration of the payment information in the subject payment pattern table An accounting processing apparatus comprising: means; and means for feeding back to the item summary pattern table by the first means.
A thirteenth invention is the accounting processing device according to any of the tenth invention, and refers to a means for receiving an input of a company that performs accounting processing, and a company DB in which company information to be subjected to accounting processing is registered. Means for acquiring the company code of the input company, means for acquiring matching journal data from the journal data DB using the acquired company code as a key, and a summary of the journal data acquired with reference to the keyword dictionary According to another aspect of the present invention, there is provided an accounting processing apparatus comprising: means for extracting a summary word included in information; and means for creating a keyword dictionary for each company based on the extracted summary word.
A fourteenth invention is the accounting processing device according to any of the tenth invention, and refers to a means for receiving an input of a company that performs accounting, and a company DB in which company information to be subjected to accounting is registered. Means for acquiring the company code of the company input, means for acquiring matching journal data from the journal data DB using the acquired company code as a key, and journal data acquired with reference to the item summary pattern table And a means for extracting a payment pattern corresponding to the payment information, and a device for creating a payment pattern table for each company based on the extracted payment pattern.
A fifteenth invention is an accounting processing device according to any of the tenth invention, which is a means for acquiring a target year and month which is an occurrence month of a transaction to be accounted for, and a past transaction to be referred to A means for determining a reference period for limiting the date of occurrence of a past transaction to be referred to based on the reference setting in which the occurrence time is set and the target year and month; The accounting processing apparatus according to the present invention is provided with means for extracting corresponding journal data, and means for creating a keyword dictionary for each company based on the extracted journal data.
A sixteenth invention is an accounting processing device according to any of the tenth invention, which is a means for acquiring a target year and month which is an occurrence month of a transaction to be accounted for, and a past transaction to be referred to A means for determining a reference period for limiting the date of occurrence of a past transaction to be referred to based on the reference setting in which the occurrence time is set and the target year and month; According to another aspect of the present invention, there is provided an accounting processing apparatus comprising: means for extracting corresponding journal data; and means for creating a summary pattern table for each company based on the extracted journal data.
A seventeenth invention is a program for causing a computer to function as the accounting processing device according to any one of the first to fourteenth inventions.

According to the present invention, there is no need for the person in charge to register in advance the journal entries and the abstract information often used in the dictionary in advance, and by inputting the account items, the optimum excise word candidates or excise sentences (combination of excise words) You can create journals efficiently by displaying and selecting.
Further, by adding the department name, amount, tax classification code and tax rate code (consumption tax reduction tax rate or standard tax rate) to the account item, it is possible to extract even more accurate excise word candidates and excise sentences candidates.

In addition, by adding tax classification code or tax rate code to the combination of the summary, the tax classification code is referred to from the description composition used, and if the tax classification code is tax, it is automatically judged whether it is a reduced tax rate or a standard tax rate from the tax rate code. You can easily create a journal entry that takes into account the consumption tax.
Consumption tax (10%, 8%, etc.) is set based on the tax classification and the tax rate code according to the selected abstract text candidate or the abstract word candidate by selecting the extracted abstract text candidate or the abstract word candidate. This eliminates the need to enter sales tax.
In addition, only by specifying the account item, tax classification, and consumption tax rate (10%, 8%, etc.), use the clustering to extract a word or word candidate corresponding to the reduced tax rate or the standard tax rate. You can also.

  In addition, since it is necessary to register in advance in the journal dictionary the summary information of frequently occurring journals and journals frequently used by the person in the patent document 1, the work of registering in advance in the dictionary occurs, but the present invention Since it is not necessary for the person in charge to register, the burden on the person in charge can be reduced since it is not necessary to edit and manage the dictionary and the table.

Moreover, in patent document 2, when the transaction content (for example: food and drink etc.) is the same and the account item (for example: spending expenses and meeting expenses etc.) is different, the transaction status is unknown and checking of the transaction content becomes insufficient. On the other hand, in the present invention, not only the contents of the transaction but also the transaction status can be described to create the optimum summary information for each account item.

In addition, 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 the first example, all combinations of account items and the prepared abstract have to be registered, while one account item is associated with an account type and an abstract type in which a combination of abstract items is classified into a certain pattern. Of the combinations with the created abstract, it is only necessary to register the minimum necessary combination. In addition, by collecting transaction information such as the minimum transaction items and transaction status necessary to identify the account items in a summary type, appropriate summary information is created when the account items are selected.

Also, by setting multiple combinations of account items and related notes, compare the related debit type types of the debit account items and the related credit type types of the credit account items, and by using the same corresponding type type, The accuracy of the summary information to be created can be improved. In addition, some terms (November and 50,000 yen) are excluded from the abstract (November rent and 50,000 yen per month) used in routine processing depending on the item type (date and amount etc.) of the summary type. This can reduce the number of abstracts to be registered and streamline the registration of abstracts.

  In addition, it is possible to improve the efficiency of the input by inputting account items and converting the summary information into a template (Example 2). In the example 2 described above, the order of summary items is fixed in advance, and it is necessary to register each item in a dictionary etc. in advance, while setting the summary type related to the account items for each account item The order and content of the summary items can be freely set for each account item.

In addition, in addition to the "lending items", parameters such as "division" and "amount" can be taken into account in addition to the "lending items". .
For example, even in the case of the same loan item, when the amount of money is high and when it is low, the contents of the abstract to be input are different, so that more accurate estimation is possible.

  In addition, although a list is displayed as “estimated word” as an estimation result, as a modification, for example, by displaying an estimation result as “summary sentence” as in “Train replacement change settlement Yamada Taro”, You can complete the payroll entry in the selection process. Therefore, the input work can be further simplified.

  In addition, there is no problem even if you mention nothing in the abstract of the journal. However, taxation companies of consumption tax are required to keep "book and bill". This "book" corresponds to the summary of the journal, and it is necessary to describe the summary which meets the requirements. Therefore, the input operation can be further simplified by grouping the summary terms by the description requirements of the consumption tax and automatically generating the summary satisfying the description requirements of the consumption tax from the contents of the transaction.

  In addition, elements configured in advance to the extracted words (keywords) (categories indicating the contents of transactions, etc., "items indicating transaction status", "lending", "taxation classification code", "tax rate code", etc.) By clustering (= classifying word groups) based on the evaluation value (key) of) and extracting an optimal word from each element, it is possible to form a leak-free summary that meets legally required requirements it can. In addition, "word group" is a collection of several words, that is, "summary words" (keywords) or "summary sentences" that constitute summary information (including natural sentences) based on a predetermined key. A combination of

  Also, by preparing a set (subject summary pattern table) of the combination of the amount of the previous journal and the summary (including the summary terms, summary sentences, summary information), the data set of the summary + total price (category summary) High-precision narrowing can be performed by comparing “the amount of money” of the journal data with “the amount of money set by the user” which is the “amount of money” of the item summary pattern table with reference to the pattern table) to determine the size.

In addition, by preparing a set of combinations of the amount of the previous journal and the description (subject summary pattern table), refer to the data set of the summary + amount (subject summary pattern table),
High-precision narrowing can be performed by comparing the ratio of “amount” in the journal data with the ratio of sales set by the user, which is “ratio” in the item summary pattern table, to determine the size. The ratio of sales is obtained by calculating the total sales, and then the ratio of sales (the ratio between the amount of sales and the total sales) is calculated for each journal data.

It is a figure which shows the whole structure of the accounting system 100 which concerns on this embodiment. It is a figure showing the functional block of accounting processor 1 concerning this embodiment. It is a figure which shows the example of company DB used by the process in the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the journalizing data DB used by the process in the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the item summary table used by the process in the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the summary type table used by the process in the accounting processing apparatus which concerns on this embodiment. It is a figure which shows the example of the item | item summary pattern table used by the process in 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 in the accounting processing apparatus which concerns on this embodiment. It is a flow chart which shows processing (example 1) in an accounting processor concerning this embodiment. It is a flow chart which shows processing (example 2) in an accounting processing device concerning this embodiment. It is a flowchart which shows the process (Example 3) in the accounting processing apparatus which concerns on this embodiment.

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

<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 diagram showing functional blocks of the accounting processing device 1 according to the present embodiment.

  In the accounting processing system 100 shown in FIG. 1, a server apparatus 1a that mainly stores accounting data and calculation processing is connected to a terminal 1b that inputs data and performs instructions for processing, and cooperates to perform accounting processing. System configuration. Also, a system in which the accounting processing apparatus 1 of an accounting office that receives a request from an adviser executes accounting processing by executing various business application programs (hereinafter, application programs are also referred to as “programs”). 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. For example, a plurality of terminals 1b may be staff members in charge of working in an accounting office such as a tax accountant or a certified public accountant teacher or a veteran staff member who is a staff member (hereinafter referred to as “person in charge” or "If you are an adviser (a company that has an advisory contract with an accounting firm), this is a terminal operated by" employee. " Although the accounting office explains this, it may be a department that performs accounting and accounting within a company.

Further, in FIG. 1, the accounting system 100 is described as including the server 1a and the terminal 1b, but this is an example. For example, a system in which a server in the accounting office and a terminal are connected by a network, an accounting system between the accounting office and the adviser, an accounting system between the head office sales office, an accounting system between the head office branch offices, and an accounting between main branches It may be a processing system.

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

  Further, the accounting apparatus 1 may not be an accounting office, but may be in an adviser company, in a company providing services such as business consignment, or may be a cloud service. For example, the terminal 1b does not necessarily have to be provided in the accounting office, and includes terminals of staff members who go outside or work at home, and terminals of staff members who are outsourced. Further, the accounting processing device 1 may be a portable terminal such as a mobile phone or a tablet, a digital camera, a scanner or the like.

  Furthermore, in addition to this, the accounting processing apparatus 1 may be configured of only a server apparatus or a plurality of server apparatuses, and in addition to the case where it is a server apparatus of an accounting office, accounting files of (company employees) of a plurality of companies It may be a server device of an IDC (Internet data center) that performs a service to deposit and manage the service.

Furthermore, the accounting processing device 1 may be a virtual machine or cloud in which the entity is virtualized.
Furthermore, in the case where the head office or the like of a company performs financial management for each department or each branch office (employee), the accounting processing apparatus 1 may be a server apparatus within the company.
The accounting processing device 1 may be a device that exclusively performs the processing of the present invention, or a device that performs accounting processing has the function of the accounting processing device 1 as one of various functions. It is also good.

  Further, the accounting processing apparatus 1 may be used, for example, as an apparatus which is provided at an adviser and reads a slip (primitive voucher) such as a receipt or a receipt of the adviser and generates a slip image. The slips (primitive vouchers) are, for example, those delivered to the accounting firm by mail from the adviser party or by bringing them by the adviser person. In the case of carrying out between the main branches and the like, it is sufficient that the accounting processing device 1 be located in the main office, in the head office accounting department, in the branch, in the sales office of each base or both in the branch.

The embodiments described above can be implemented with computer hardware and computer programs executed thereon. In the above program, processing to be performed by hardware in transmission to transmit information, reception to receive information, etc. (for example, processing to be performed by modem or interface card in transmission (processing to be performed only by hardware) ) Is not included.

Moreover, 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 goes without saying that two or more communication means (terminal information transmitting unit, terminal information receiving unit, etc.) existing in one device may be physically realized by one medium. . The accounting processing apparatus 1 may process as a single unit, or even if the server apparatus 1a using the accounting processing apparatus 1 and the terminal 1b using the accounting processing apparatus 1 are realized as an accounting processing system 100 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 realized by distributed processing by a plurality of devices. It may be done.
It goes without saying that the present invention is not limited to the above embodiments, and various modifications are possible, which are also included in the scope of the present invention. Also, 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 device 1 in the present embodiment.
<Accounting processor 1>
The accounting apparatus 1 includes a storage unit 30 and a control unit 10.
As shown in FIG. 2, the accounting 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 apparatus 1 of FIG. 1, the server device 1a corresponds to the control unit 10, the storage unit 30, and the communication unit 49, and the terminal 1b 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 processes, management, and the like regarding data such as data update.
Also, 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 stored in a storage medium such as a ROM. However, it may be realized by hardware (a dedicated circuit).

Further, the control unit 10 is a CPU (central processing unit) that controls the entire accounting processing apparatus 1. The control unit 10 appropriately reads and executes an OS (Operating System) and an application program stored in the storage unit 30 to cooperate with the above-described hardware to execute various functions.
The control unit 10 also 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. Typically, the processing procedure of the storage unit 30 is realized by software, and the software is stored in a storage medium such as a ROM. However, it may be realized by hardware (a dedicated circuit).
The storage unit 30 is a storage area such as a hard disk or a semiconductor memory device 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 customer 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 an application program for executing various functions such as accounting. The correspondent DB is a database storing information on the correspondent of the company of the company DB. The supplier DB is associated with a supplier ID, which is identification information for identifying a supplier, and indicates a business type, a company ID indicating a supplier of which company, a supplier name, an address, a store name, a telephone number, a company logo, Store data on trading partners and other business partners. The data of these business partners are used as sales, purchase, accounts receivable, accounts payable etc. counterparts.

  Although the various functions of the control unit 10 described above are executed and described by one program as an 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 illustrated in FIG. 3 stores company information to be subjected to accounting processing, using a company code as a key. Company DB31 company code, organization code, department code, company name, company name, department name, department name, type, year, address, department head, division, registered place, person in charge And are stored in association with each other. In addition to the case where the accounting office uses the accounting processing apparatus 1 for a plurality of advisers, the company operates between branch offices (not shown) and head office branches (not shown) and sales offices of the head office and each base. It corresponds 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 an adviser, the organization store code is the main branch or head office branch office of the company, and the department code is identification information for identifying the department to which it belongs. 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.), the organization name is the name of the company's base such as the head office, branch office or sales office (eg. Island branch office etc.) and the department name is the accounting department It is the name of the department such as or sales. The type is the type of business such as accounting, tax and accounting. The address is the address of the organization of the company. The head of organization is the name of the head of the organization of the company, such as a representative (for example, in the case of ABC Industrial Co., Ltd. ○ mountain × man) at the head office. Division is division of corporation or individual. The registration location is a storage location of business data such as journal data for each company. The person in charge is the person in charge of operations such as accounting.

The company DB 31 may store, for example, a representative name, a company logo, a DB registration date, a business form, a receiving business, etc., in addition to the respective items described in FIG. The representative name may be used, for example, for linking parent-child relationships of companies. The DB registration date corresponds to the adviser contract date and the branch establishment date. The business form is whether it is a corporation business, an individual business, or a mere individual. The duties of accounting are accounting services (monthly audit, settlement of accounts, etc.) and taxation (income tax declaration, blue declaration, etc.).

The journal data DB 32 is a database that stores journal data using a journal ID for identifying journal data as a key.
The journal data DB 32 stores journal data and a slip ID for identifying a slip image received by the slip image receiving unit 11 in association with a journal ID identifying the journal data. Further, 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 journal ID, company code, organization code, department code, date, debit item (debit account item), credit item (credit item item), taxation division code, The tax rate code, the transaction classification, the amount, the consumption tax amount, the summary, the slip ID, the slip classification, and the slip content are associated with each other and stored. Here, the date is the date of occurrence of the journal data, and is the same as the date included in the slip image. In the case of consumption tax, it is the date when taxable purchases were made or the combined period. The taxation classification code indicates whether the consumption tax is taxable, tax free, tax free, or not taxable. In addition, the code relating to taxation may be specified in accordance with the transaction details of the consumption tax.

The tax rate code indicates the consumption tax rate. Consumption tax differs in tax rate (standard tax rate or reduced tax rate) in transaction content even if it is the same account item. The reduced tax rate applies to periodicals and foodstuffs, but if it is an eat-in, it is judged as a standard tax rate, and if it is a take-out it is judged as a reduced tax rate. Calculate the consumption tax for each journal entry. For example, if the reduced tax rate is 8%, the consumption tax is calculated as a tax rate of “8”, and if the standard tax rate is 10%, “10”, the transaction classification indicates whether tax is included or excluded, and the relationship between the amount described below and the consumption tax amount is shown. .

Also, the amount is the amount of payment consideration in the transaction, and is a single journal debit amount or credit amount. In the case of a single journal entry, the debit amount and the credit amount will be the same amount. In addition, items may be divided and stored in the debit amount and the credit amount so that a compound journal in which the debit amount and the credit amount differ can be created. For example, if the transaction classification is tax, the consumption tax amount is included in the amount, so the amount (value "1,080") of the journal data (if the value of the journal ID is "J001") is the amount of the transaction amount “1,000”) includes the consumption tax amount (of “80”). In addition, if the transaction classification is excluding tax, the consumption tax amount is not included in the amount, so the amount (value “1,000”) of the journal data (if the value of the journal ID is “J003”) is only the transaction amount Does not include the consumption tax amount (of the value "80").

The consumption tax amount is the amount of consumption tax, and the tax rate (8%, 10%, etc.) set based on the tax classification code (the value of "tax") and the tax code (of the value "standard tax" or "reduce tax rate") Calculate the consumption tax based on), and set the consumption tax amount in consideration of the tax-exclusive and tax-exclusion setting contents (whether or not the consumption tax amount is added to the amount) of the transaction classification. In addition, when the value of the taxation classification code is "not taxable", the value of the tax rate code is "none" and the value of the consumption tax amount is "0".

The introductory notes are the contents of the transaction such as the name of the other party of the transaction, the name, and the contents of the asset or service, and are supplementary contents to the account. Although the abstract of the journal does not have to be described in itself, the taxation company of the consumption tax needs to describe the description requirements of the consumption tax in the summary of the journal. Therefore, the summary terms (keywords) are grouped (classified) according to the description requirement of the consumption tax (predetermined word group in the consumption tax journal), and the summary of the consumption tax is automatically generated from the contents of the transaction. The burden of input can be reduced, and an appropriate abstract can be easily generated. The predetermined word group may be a transaction configuration parameter other than the description requirement of the consumption tax.

The slip classification is classification of slips (primitive vouchers) whose slip images are receipts, receipts, and the like. The slip content is the content of the text information acquired from the slip image in character recognition processing using an OCR or the like. Although the 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 the association of account items, their balance (debit, credit), and summary type. Account items, balances (debit, credit) and payback types are stored in association.
In addition, the summary type is the classification of the transaction content and the transaction situation for each transaction category. Also, it is a subject summary table that is registered in association with the account type that has been entered and the summary type. In addition to the items described in FIG. 5, for example, items to be weighted by priority such as the number of times of use may be stored. Weighting may be used to display frequently used accounts and related summary types in descending order of priority, and may be selected by the person in charge, or by learning summary types with many usages and performing feedback. It is possible to create an optimal summary type table for each company and each year.

In addition, in the case of cash debit, cash account items such as sales, accounts receivable, goods purchases, other deposits, deposits, etc. can be debited depending on the combination of the account item and its balance and transaction category related to the account item type. The transaction category to be journalized is stored. Similarly, in the case of a cash credit, transaction categories in which cash accounts such as food and drink, transportation, goods purchases, utilities, taxes, purchases, accounts payable, unpaid, other payments, deposits, etc. are credited are stored. ing. With respect to deposits, there are both cash debit and credit, but in the case of cash debit, deposits are withdrawals from deposits, and in the case of cash credits, deposits are deposits in deposits. By using the summary type, it is possible to narrow down the account category and related transaction categories using the account category as a key.

A summary type table 34 shown in FIG. 6 is a diagram showing a summary of item configuration in which combinations of transaction content and transaction status are grouped for each transaction category. In addition, the summary items are the contents of transactions and the status of transactions broken down into keywords and grouped into categories. In addition, it is a summary type table that associates and registers a summary of the summary of the summary item, which is a combination of summary items, with a summary type. The summary type table 34 stores the summary type, the number of items in the summary of the item configuration, and the contents of the items in the summary of the configuration in association with one another. In addition to the items described in FIG. 6, for example, items to be weighted by priority such as the number of times of use may be stored.

In the case where the item summary is different even if it is the same payment type (for example, transportation) among the account types that are often used by weighting, the same payment type (for example, transportation) ("Traffic"-"Transportation / Freight / Content / Payment" Display in the order of high priority in destination / visit destination / visit reason or “traffic”-“traffic / accommodation / content / payment destination / accommodation destination / visit reason / taxation classification code / tax code / amount” etc.) It is possible to make the person select it, and learn the most frequently used summary types and give feedback so that it is possible to create an optimal summary type table related to the account items for each company and each year and month. By optimizing for each year and month, a summary type table for each company may be created that reflects the latest trends.

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

The subject summary pattern table 35 shown in FIG. 7 is a view showing association of a combination of a summary pattern and an account, in which combinations of summary terms are standardized. In addition, the summary pattern is a combination of one or more summary phrases that constitute summary information. In addition, it is a subject summary pattern table that registers the account pattern and the account pattern that has been input in association. The subject summary pattern table 35 is a debit category, a credit category, a department name, an amount, a ratio, an object, a taxation classification code, a tax rate code, a standard deviation, a judgment standard, a summary pattern, and the number of registrations. , Evaluation information, and transaction configuration information are stored in association with each other.

By combining account name (debit items and credit items) with department name, amount (combination of amount and judgment criteria), ratio (combination of ratio, object and judgment criteria), tax classification code, tax code, standard deviation Furthermore, by narrowing down the payment pattern, it is possible to display a combination of payment phrases with high accuracy as a candidate. All items may be used for narrowing down, and some items (such as “Department Name and Amount” and “Account Name and Amount”) may be used (“Department Name and Amount Name”). A combination of “amount”, “account item and amount”, “account item and object and ratio”, “account item and tax classification code and tax rate code”, “account item and standard deviation”, etc. may be used.

Debit items (debit account items) and credit items (credit account items) are debit items (debit account items) and credit items (credit item items) of the journal data DB shown in FIG. The division names are division names of the company DB shown in FIG. 3, and the divisions may be different even if the contents of the same summary are described. As the amount of money may differ depending on whether it is high or low, the same account items may differ in the contents of the abstract, so the amount of each journal entry and the amount set in FIG. When the amount of money is large, the judgment pattern can be narrowed down by comparing based on a small judgment standard.

The ratio can be narrowed down by calculating the ratio of the amount of each journal to the amount of money to be the basis, and comparing the ratio of the obtained amount with the ratio set in FIG. 7 based on the determination criteria. . The taxation classification code and the tax rate code are the taxation classification code and the tax rate code of the journal data DB shown in FIG. Standard deviation is to obtain a normal distribution (mean value and standard deviation) for the amount of money of all the journals, and narrow down the payment pattern by comparing the calculated standard deviation with the standard deviation set in FIG. 7 based on the judgment criteria. it can. The number of registrations is the number of times summary information created by selecting a summary phrase by the person in charge is registered in the subject pattern table.

The evaluation information is a preset element for classifying a plurality of account items for a plurality of transactions belonging to any transaction category used in clustering (classification of word groups) described later. It is an evaluation value for each transaction configuration parameter such as a tax rate code. The transaction configuration information indicates an affiliation (predetermined word group) of each disclaimer word or cluster of disclaimer patterns used in clustering to be described later, and a transaction configuration parameter (clustering of clustering for configuring each cluster (predetermined word group) It consists of a combination of keys.

In addition to the items described in FIG. 7, for example, items to be weighted by 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, a combination of excerpts of commonly used parts of the excise pattern (eg: book fee-magazine A-convenience store E-1 book) is the disclaimer pattern 1 (eg: book fee-magazine A), By setting the combination of the following disclaimer phrases as the summary pattern 2 (eg, convenience store E-1 book), weighting of the summary pattern 1 is performed by the number of registrations, and weighting of the summary pattern 2 is performed by the number of usages. Note that a summary pattern having a large number of registrations may be displayed as a summary sentence candidate indicating the contents of the transaction used in the summary information.

If the payment pattern 1 (eg: Book fee-magazine A) is the same but the payment pattern 2 (eg: D bookstore-1 volume) is different, as in the case of Fig. 7, the payment pattern (eg: "Book fee-Magazine A-Convenience store" Search E-1 books, book books-magazines A-D bookstore-1 books, etc.), but if it is an example of a modified abstract pattern, search for abstracted pattern 1 (example: book charges-magazine A) Then, by searching for the explanation pattern 2 (eg, “Convenience store E-1 book”, “D bookstore 1 book”, etc.), it is related to the combination of commonly used account items as compared with the case of FIG. Since it is possible to reduce the search time of the summary pattern by narrowing down the summary pattern, it is possible to shorten the display time of the summary terms candidates displayed in the order of high priority from the summary pattern which is a combination of the summary pattern 1 and the summary pattern 2 , Selected By learning the combination of the abstract pattern 1 and the abstract pattern 2 and performing feedback, it is possible to create an optimal subject abstract pattern table for each company and each year. Further, by narrowing down by department name, amount, ratio, taxation classification code, tax rate code, standard deviation, or a combination thereof, highly accurate narrowing can be performed.
By optimizing for each year and month, it is possible to create a subject-summary pattern table for each company that reflects the latest tendency.

Specifically, using the company code selected from the company DB as a key, the excise word and phrase included in the summary information of the matching journal data from the journal data DB is extracted from the subject summary pattern table, and the subject summary pattern table for each company is displayed. create. In addition, based on the reference setting (not shown) in which the occurrence time of the past transaction to be referred to is set, the target year which is the occurrence year of the transaction to be accounted for is acquired based on the reference setting (not shown). Based on the settings, a reference period for limiting the date of occurrence of the past transaction to be referenced is determined, and the reference period is used as a key and included in the summary information of the matching journal data from the journal data. The abstracted words and phrases are extracted from the subject summary pattern table, and a subject summary pattern table for each year is created.

The keyword dictionary 36 shown in FIG. 8 is a character string (word / phrase) of a disclaimer associated with a category such as a business partner or a person's name or the like from the summary information of the journal data registered in the past. It is a figure showing association of. In addition, it is a keyword dictionary registered as a keyword in which a category indicating the transaction content is associated with a summary phrase related to the input account item. The keyword dictionary 36 stores keywords, accounts, loans, categories, items, processes, particles, taxation classification codes, tax rate codes, the number of appearances, and the number of selections in association with one another.

The account item is the name of a classification item required to represent the name of the displayed amount used in double-entry bookkeeping and financial statements. It is also used as a clustering key.

Lending indicates debit and credit, and is used in combination with accounts. It is also used as a clustering key.

The category indicates a transaction content such as a business partner, a person's name, payment, a product, etc., and classification and classification of transactions based on the transaction status. In addition, if there is no candidate for a word or phrase that is not related to the account (for example, travel expenses and salary allowance) but is in the same category (for example, a person's name) by associating keywords with transaction categories (for example: Employees who have not paid for transportation expenses in the past are displayed as candidates for pay-in words, etc.) Keywords of the same category (example: person's name) (eg: employees who have paid salary so employees who have not paid for transportation expenses in the past Can be extracted as a candidate) and used as a summary word candidate. It is also used as a clustering key.

The items indicate the contents of transactions such as cash, sales, purchase, traffic, payee, visit destination, reason for visit, and the configuration, type, attributes, etc. of the transaction based on the transaction status. Further, the items are associated with the content of each item of the summary item configuration of the summary type table and the keyword, and the keyword corresponding to the summary item configuration item can be used as a summary word candidate. It is also used as a clustering key.

Processing is performed by performing specific processing associated with the keyword, such as adding a date or an amount to the abstracted word candidate (for example, date is November 24, the amount is 50,000 yen, and the keyword is "rent". If the date is a date, the abstract word candidate can display "November rent", and if the processing is an amount, the abstract word candidate can display a "50,000 yen rent"), and when registering in the keyword dictionary newly There is no need to register (eg: “November Rent”, “December Rent”, “October Rent 50,000 Yen” keywords are different keywords, so usually all will be registered) However, if you register with "Month Rent", you only need to register "Month Rent" and "Rent 50,000 yen" with only two registrations, and with "Rent" you only need to register with one).

As for the particles, when creating the summary information, it is possible to create summary information of natural sentences by performing the text shaping process using the particles.

The taxation classification code and the tax rate code are the taxation classification code and the tax rate code of the journal data DB shown in FIG. It is also used as a clustering key.

In addition to the items described in FIG. 8, for example, a flag indicating whether or not to use a particle may be stored. The number of appearances is the number of times the keyword is displayed as a summary word candidate. The number of selections is the number of times the keyword has been selected from the abstract word candidates. By assigning weightings using the number of occurrences and the number of selections, it may be possible to have the person in charge select the account types and related payment types that are often used in descending order of priority, or By learning many types of abstracts and providing feedback, it is possible to create an optimal keyword dictionary for each company and each year. By optimizing for each year and month, a keyword dictionary for each company may be created that reflects the latest trends.

Specifically, using the company code selected from the company DB as a key, the excise-phrase included in the summary information of the matching journal data from the journal data DB is extracted from the keyword dictionary to create a keyword dictionary for each company. In addition, based on the reference setting (not shown) in which the occurrence time of the past transaction to be referred to is set, the target year which is the occurrence year of the transaction to be accounted for is acquired based on the reference setting (not shown). Based on the settings, a reference period for limiting the date of occurrence of the past transaction to be referenced is determined, and the reference period is used as a key and included in the summary information of the matching journal data from the journal data. A summary phrase to be extracted is extracted from the keyword dictionary, and a year-by-year keyword dictionary is created.

The input unit 45 in FIG. 2 is an input device such as a keyboard and a mouse. Moreover, the input unit 45 may be a touch panel or a pen input. Further, the input unit 45 may be an input device such as a microphone for voice input, a camera for image input, a scanner or the like.
The display unit 46 is a display device configured of an LCD (Liquid Crystal Display) or the like.
The communication unit 49 is, for example, a slip image reading apparatus such as a scanner, or an interface that communicates with an external apparatus via a communication network.
The computer in the present invention is an information processing apparatus provided with a control unit, a storage device, etc., and the accounting processing apparatus 1 is an information processing apparatus provided with a control unit 10, a storage unit 30, etc. Included in the concept of computer.

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

  A person in charge (for example, staff of accounting office or employee of accounting department) starts an accounting application and selects a company (for example, ABC industry) to carry out accounting processing, accounting fiscal year (for example: 2017) and Set the processing year (example: November 2017). The company information including the fiscal year of the selected company is acquired from the company DB, and the input screen of the accounting data of the selected accounting year is displayed (step S (hereinafter, simply referred to as "S") 101).

  The date (for example, November 20), the account item of the debit (for example, entertainment expenses), the account item of the credit (for example, cash), the amount (for example) : 8,000 yen). The receipt and the receipt may be digitized in advance, and an image may be displayed and input while referring to it (S102).

  Descriptive items (for example, taxis) that match the debit items (for example, debit items-expenses) and the credit items (for example, credit items-cash), which are the account items entered with reference to the item summary pattern tableー ー 立 ○ ○ タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー タ ク シ ー 島 To へ □ 弔 To 弔 □ To へ 木 To へ 商 To 商- "Taro Taro" etc.). If no match pattern is found by narrowing down in the subject summary pattern table, the journal data DB is referenced to narrow down by the account item (eg, debit item-related expenses, credit item-cash) and match Based on the summary information described above, a summary pattern is created with reference to a keyword dictionary to be described later.

In addition, when the department names are different in the same summary content, it is possible to obtain a high-precision summary pattern by further narrowing down by department names. For example, in case of narrowing down by account item (eg debit item-expense, credit item-cash), payment pattern 3 ("Taxi transfer-payment settlement", department name-business) and payment pattern 4 ("taxi payment-transfer) Since “Settlement” and “Department Name – General Affairs” are extracted, it is possible to extract “expense pattern 4” by further narrowing down the division name as “General Affairs”.

Also, when the amount of money is high and when it is low, the contents of the abstract to be input may differ even with the same account item, and there are judgments based on the amount of money and judgments based on the amount ratio. For example, when narrowing down by account item (eg, debit item-expense, credit item-cash) as the judgment by the amount, the amount "5,000 (yen)" set by the user etc. and the judgment standard "large" The comparison is performed, and the comparison result is narrowed down (more than 5,000 yen), and the payback pattern registered in the subject payback pattern table “food and beverage charges-entertainment to customers-east □ commerce-× island Not only Saburo's, but also similar payment patterns "Eating and drinking charges-entertainment to customers-Higashi □ business" and "Eating and drinking charges-entertainment to customers-Higashi □ commercial-○ Taro" etc. can be extracted. .

Next, as a judgment by the amount ratio, for example, when the target is sales, the ratio between the amount of each journal entry and the total amount of sales is calculated based on the total amount of sales, and account items (eg debit items-expenses, credit When narrowing down by subject-cash, compare with the ratio "0.3" set by the user etc. and the judgment standard "large", and narrow down (greater than 0.3) on condition of comparison result In addition to the pay-out bill "Seat and drink fee-Entertainment to customers-Higashi □ Shoji-× Shima Saburo" registered in the subject pay pattern table, a similar pay pattern-"Food and drink fee-Acceptance to customers-Higashi □ It is also possible to extract “Trading company” and “Eating and drinking charges-entertainment for customers-East □ Trading company-○ Taro” and the like. Although the target is sales as an example, another account item such as selling expenses and general administrative expenses may be designated.

Also, although the total amount of sales (total of annual amount) is taken as an example, it may be the total of monthly amounts of sales, or it may be the total of daily amounts and is not limited to the total.
In addition, even if it is the same account item, because the tax rate of consumption tax differs, for example, when narrowing down by account item (for example: debit item-relationship expenses, credit item-cash) and taxation classification code "tax", tax rate code By narrowing down by the “reduce tax rate”, it is possible to extract a disclosing pattern “newspaper fee-Y newspaper-convenience store E-1 copy” and the like.

In addition, when narrowing down by account item (for example: debit item-expenses, credit item-cash), a predetermined probability distribution is obtained from the average value and the standard deviation from the amount of all the journal data registered in the journal data DB. Therefore, if the predetermined probability distribution is a normal distribution (mean value and standard deviation), the specific data (one or more money) is from "mean value-1 x standard deviation" to "mean value + 1 standard deviation" Since the probability of being included in the range of approximately 68% and the probability of being included in the range of “mean value 2 × standard deviation” to “mean value + 2 × standard deviation” is approximately 95%, the standard deviation α ( For example, the amount of money (for example, a plurality of specific data generated (for example, generated by random numbers) from a random variable according to a predetermined probability distribution such as normal distribution based on α = 2,600 yen, average value 13,450 yen) 6,000 yen and account items (eg debit items-exchanges Compare the value "5,000 yen" of the amount of money that corresponds to the cost, the credit item-cash), and narrow down the comparison result to meet the value "large" of the judgment standard (extract specific data larger than 5,000 yen) By performing the above, it is possible to extract a plurality of relevant payment patterns, and to narrow down with high accuracy. Although the normal distribution has been described in this embodiment, another probability distribution such as a binomial distribution may be used.

In addition, for the words (keywords) and sentences (completion patterns) extracted from the summary information of the journal data, an element (for example, “transaction event or transaction content” or the like) set in advance to the extracted words (keywords) , “Items” indicating “customers and transaction status”, “lending and borrowing of accounts”, transaction configuration parameters such as “tax division code” and “tax code” etc. Extract the best word from each element. Then, since it is possible to narrow down the introductory pattern that matches the extracted word, it is possible to form a leak-free introductory explanation that meets the legally required requirements. In addition, when the corresponding payment pattern is found in the subject payment pattern table, the clustering key is stored in the “transaction configuration information” of the subject payment pattern table.

In addition, when a corresponding excise pattern is not found in the subject excise pattern pattern table, it corresponds to the excise word or excise pattern (combination of excise word) included in the excise information (transaction content and deal status) of each journal data from the journal data. The composition of evaluation information for each transaction composition parameter (loan, category, item, taxation classification code, tax code, etc.) included in the summary information of each journal data with reference to the account item to be Transaction composition information (a loan, a category, an item, a taxation classification code, a tax rate code, etc.) indicating the affiliation of each introductory phrase or each introductory pattern by clustering the introductory phrases or the introductory patterns into the same transaction configuration (Combination of configuration parameters), the above-mentioned transaction configuration information can be And outputs it to the table.

Here, as an index indicating similarity, a method of calculating an average value between transaction contents as a representative value of evaluation information for each transaction configuration parameter, and using a proximity of Euclidean distance between representative values as an index of similarity Alternatively, a method may be considered in which the correlation coefficient calculated in the entire transaction content for the evaluation information of each introductory phrase or introductory pattern is used as an indicator of similarity. In addition, as a clustering method, a general method may be used, and for example, aggregation type hierarchical clustering (group average method, centroid method, Ward method, etc.) or division optimization type clustering (k-means method etc.) is considered. Be

The number of clusters in clustering varies depending on the number of data in the case of unsupervised clustering, but in the case of semi-supervised clustering, it may be arbitrarily set in accordance with the number of types of transaction content and transaction situation. Based on the transaction configuration information, by selecting an excuse phrase or excise pattern from each of the trade constitutions different in tax classification code and tax rate code, an excerpt word that is an optimal combination of account heading for the transaction, tax classification code and tax code. Or select a disclaimer pattern. Selection of the introductory phrase or the introductory pattern may be selected one by one from each transaction configuration, or the transaction configuration or introductory phrase or the transaction configuration and the transaction configuration feature are relatively close from the keyword dictionary or the subject introductory pattern table The number of occurrences, selection, number of registrations, department name, etc. of the abstract pattern is extracted, and according to the number of appearances, number of selections, number of registrations, name of the department, etc. The numbers may be weighted.

Since there are multiple pay-off items that match the debit and credit items as keys, multiple pay-out patterns are compiled to create a pay-out pattern list. Prioritize the summary pattern list in descending order of the number of times the summary pattern is registered, and sort the summary pattern (example: "Taxi fare-prepayment settlement-○ Tataro" (number of times of registration 7 times), "taxi fare-east □ Commercial entertainment-× Saburo Shiro (registered number of times 5), "Bus fare-商 To the tree firm-○ Tanaro-Business negotiations" (registered number of 4 times), "Keio expenses-Higashi □ commercial state-○ Field "Taro" (number of registrations 3 times) etc.). From the sorted summary pattern list, a summary pattern with the largest number of registrations (eg, summary pattern "tax fare-repayment settlement-○ Tataro" (number of registrations 7) is acquired (S103).

The summary pattern extracted here may be used as a summary sentence candidate, or the process may proceed to S104 in order to extract summary phrases.

As a modification of S103, referring to the above-mentioned payment pattern list including evaluation information for each transaction configuration parameter associated with accounts for a plurality of transactions belonging to any transaction category from the item payment pattern table, transaction composition information of each payment pattern ( Clustering the payoff patterns that are similar in composition of evaluation information for each combination of transaction configuration parameters such as loan, category, item, taxation classification code and tax rate code) into the same trade composition by clustering The transaction configuration information indicating the affiliation is obtained, and the transaction configuration information is output to the subject summary pattern table.

Based on the above transaction configuration information, by selecting a description pattern from each of the transaction configurations having different taxation classification code and tax rate code, an optimal combination of an account title, taxation classification code, and tax rate code for a transaction from a plurality of selected explanation patterns. Extract the disclaimer pattern. Election patterns may be selected one by one from each transaction configuration, or the number of registrations and department names of transaction configurations or abstraction patterns relatively similar to each transaction configuration and transaction configuration feature are extracted from the above-mentioned item summary pattern table The number of introductory patterns to be selected from each cluster may be weighted according to the number of registrations and the department name. The summary pattern list is created from a plurality of selected summary patterns.

Refers to the keyword dictionary and decomposes the keywords into each keyword from the summary pattern list to obtain the summary terms and summary phrases of each summary pattern (eg: Summary pattern "Taxi fare-Recurring settlement-○ Tataro", the number of summary phrases 3 And "taxi fare", "recurring settlement", "to get the wording of ○ ○ Taro"). Next, the first abstracted word candidate is displayed from the abstracted pattern list in the abstracted pattern list in descending order of the total number of used abstracted word list. Specifically, the first excise word / phrase of each introductory pattern of the excerpt pattern list is extracted, and the extracted excerpt words / phrases are arranged in the descending order of priority order (example: “taxi fare”, “souvenir fee”) , "Keio Expenses" etc.) (S104).

As the display of the summary word candidates, “not selected” (fixed) described later (“fixed”), “a plurality of summary words narrowed down from the summary pattern list in descending order of priority (eg,“ taxi ”,“ souvenir ”,“ Keio ” Expenses "etc." (variable), which will be displayed in the order of "direct input" (fixed) described later.
In addition, when the excise word / phrase overlaps with the extracted excise word / phrase, exclusion processing is performed to exclude the second excise word / phrase of the duplicate excerpt word / phrase (for example, in the case of the above four disclaimer patterns, Taxi fares, taxi fares, bus fares, souvenirs, and Keio expenses are acquired, but candidates are taxi fares, bus fares, souvenirs due to exclusion processing. , "Geeing expenses")).

Moreover, although the excise word candidate is displayed by the priority by the frequency | count of registration in the Example, the registration update date of the disclaimer pattern matches the latest excrement pattern, a total excuse number of excise word usage, the excise word usage number and excise word The priority may be given based on the number of occurrences or selection of, or the total number of usages of the abstract, the number of usage of the abstract, the number of registrations, the date of registration update, the number of appearances, and the priority by weighting using the number of selections. You may put it on.

A summary word candidate (example: "taxi fare") displayed in S104 is selected and fixed as a summary word (S105). The keyword dictionary is updated by adding 1 to the number of appearances of the summary word displayed as the summary word candidate. In addition, 1 is added to the number of selections of the selected abstract word / phrase candidate to update the keyword dictionary. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated. If the number of inscription terms acquired from the inscription pattern acquired in S103 is 1 (S106: No), the process moves to S112.

If the number of inscription terms acquired from the abstract pattern acquired in S103 is 2 or more (S106: Yes), the processing from S108 to S111 is repeated for the number of introductory terms (S107).
By displaying the excuse word candidates in order by the number of excise word terms, the excuse word is narrowed down in stages, and the excuse word that is frequently used and the excuse word highly related to the former excuse word are appropriately displayed as excise word candidates Be done.
In addition, although the judgment condition of S106 is judged when the number of abstract words is two or more, any condition may be used as long as it can be judged whether the number of abstract words of the abstract pattern is singular or plural.

Further, in the case where there is one introductory phrase registered in the introductory pattern, the introductory word candidate is displayed as it is as the introductory word candidate, and the selected introductory word candidate is confirmed as introductory. If there is no option in the summary word candidate, you may directly enter the summary word, or it may be broken down into summary terms from the summary information of the journal data registered in the past, and keywords associated with categories such as business partners and personal names. You may select a category such as a business partner or a person's name from a dictionary to display a summary term candidate. The keyword dictionary is updated by adding 1 to the number of appearances of the summary word displayed as the summary word candidate. In addition, 1 is added to the number of selections of the selected abstract word / phrase candidate to update the keyword dictionary. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated.

That is, when registering the journal data in the journal data DB, 1 is added to the number of times of selection of the corresponding excise word or the relevant excerpt word is the new keyword according to the presence or absence of the excise word used in the summary information in the keyword dictionary. By performing feedback to the keyword dictionary by automatically registering as the keyword dictionary, it is possible to efficiently register the most suitable keyword that is often used for learning. In addition, when registering the journal data in the journal data DB, the subject summary pattern table adds 1 to the number of times of selection of the summary pattern that matches the relevant summary information or adds the corresponding summary information according to the presence or absence of registration of the summary information. The subject summary pattern table can be registered efficiently as the best summary pattern that is often used by learning by performing feedback to the subject summary pattern table by automatically registering it as a special summary pattern.

In addition, a payback pattern (for example, "Taxi fare-Recurring settlement-○ Tataro", "Taxi fare-East □ commercial entertainment") including the selected payoff term candidate (eg, "Taxi fare") from the payoff pattern acquired in S103. -× Shimasaburo etc.) may be extracted (S108).

The following excise-phrase candidate selected from the extracted excise-out pattern (the selected excise-phrase candidate is the first word, so the next excise-phrase is second) is extracted, and the extracted excise-phrase is extracted Example: Displayed as "repayment settlement", "east □ commercial entertainment", etc. (S109).

In addition, it is selected (example: "payment settlement") from the displayed explanation words candidates (for example, "payment settlement", "east □ commercial entertainment", etc.). The keyword dictionary is updated by adding 1 to the number of selections of the selected abstract word / phrase candidate (S110). If there is no option in the excise word candidate, the excise word may be directly input, or a excise word candidate may be displayed by selecting a category such as a business partner or a person's name from the keyword dictionary. The keyword dictionary is updated by adding 1 to the number of appearances of the summary word displayed as the summary word candidate.

The selected excise word candidate selection (e.g., "repayment settlement") is combined with the confirmed excise word (e.g., "tax fare") and is determined as the excise word (S111). Although the process of S111 is connected as it is in this embodiment, the process may be performed after the text shaping process is performed by adding a particle to the determined excise phrase.

When the determined excise word / phrase (including the case of combining in S111) is registered as the excise pattern in the subject excise pattern pattern table (S112: Yes), 1 is added to the number of times of selection of the excise pattern (S113). If it is not (S112: No), it is registered in the subject summary pattern table as a new summary pattern (S114). The summary information is automatically generated from the determined summary word or sentence, and the taxation classification code and the tax rate code corresponding to the fixed summary word or summary sentence are automatically determined.

Thereafter, journal data is generated based on the input date, account number, amount, summary information, tax classification code and tax code. Specifically, the amount is set to the consumption tax amount based on the consumption tax rate (10%, 8%, etc.) in consideration of the tax-included setting contents (tax division code, tax rate code, etc.) of the journal data. The generated journal data is registered in the journal data DB.

The specific content of the modification is that there are a plurality of corresponding pay-out patterns with the debit and credit subjects as keys, so a plurality of pay-out patterns are collected to create a pay-out pattern list. Debit items (e.g., debit items-expenses) are used as a key to acquire debit keywords (e.g., taxi fare, reimbursement settlement, ○ Taro, etc.) which are keywords associated with the debit items from the keyword dictionary. Also, a crediting keyword (eg, taxi fare, reimbursement, cash payment, etc.), which is a keyword associated with the crediting subject, is acquired from the keyword dictionary using the crediting subject (eg, crediting subject-cash) as a key.

Next, an abstract phrase matching each of the acquired debit keyword and the credit keyword is acquired from the abstract pattern list for each abstract pattern from the abstract pattern list, and the number of abstract phrases used (the number of abstract phrases used Number) (for example: "Taxi fare (7 times)-Transfer settlement (5 times)-○ Tataro (4 times)", "Taxi cost (7 times)-East □ Commercial entertainment (3 Times)-× Shimasaburo (3 times), "Keio expenses (5 times)-To Higashi □ Shoji-sama (5 times)-○ Tataro (4 times)", "Bus fee (5 times)-木 Kishokai To (3 times)-○ Tataro (4 times)-Business talk (5 times) etc.).

Sum the number of usage of the disclaimed words for each disclaimed word acquired in S103 for the disclaimed pattern acquired in S103, and obtain the total number of distracted words used for each disclaimed pattern (displayed as "summed pattern (sum of usage of distracted words)" (example: "Taxi fare (7 times)-Replacement settlement (5 times)-○ Tataro (4 times)" (16 times), "Taxi fee (7 times)-Higashi □ Commercial entertainment (3 times)-× Shimasaburo (3 times) Times) "13 times", "Keio Expenses (5 times)-To Higashi □ trading company (5 times)-○ Tataro (4 times)" "(11 times)," Bus fee (5 times)-木 Kishokai (3 times)-Business talk-○ Taro (4 times) "(12 times) etc.).

Decompose all the payment patterns included in the payment pattern list, and obtain the number of paid phrases and the paid phrases (eg: paid pattern "Taxi fare-recurring settlement-○ Tataro" from the number of pay phrases 3 and "taxi fee," "Recovery settlement", get the wording of "○ Taro"). Next, sort the abstract pattern list in descending order of the total number of abstract words used in the abstract pattern list (Example: "Taxi (7 times)-Recurring settlement (5 times)-○ Tataro (4 times) Number of abstract words 3" ( 16 times), "Taxi fare (7 times)-Higashi □ commercial entertainment (3 times)-× Shimasaburo (3 times) remarks number 3" (13 times), "" Bus charges (5 times)-木 Tree Chamber of Commerce " To (3 times)-○ Tantaro (4 times)-Business talk (5 times) No. of excerpts number 4 "(12 times)," Keio expenses (5 times)-To Toho Shoji (5 times)-○ Tanaro (4 times) No. of excerpt words 3 "(11 times) etc.).

From the sorted summary pattern list, a summary pattern with the highest total number of usages of summary terms (eg, summary pattern “tax fare – on-time settlement-○ tataro” (16 times)) is acquired (S103). Display the first word / phrase candidate from the summary pattern in the summary pattern list. Specifically, the extraction terms are narrowed down in stages by extracting the first extraction terms of each extraction pattern of the extraction pattern list, and the extracted extraction terms are extracted as extraction term candidates (eg, “Taxi”, “Souvenirs” "", "Keio Expenses", etc.) (S104).

The number of pay-out terms is 3 from the pay-off pattern acquired in S103 (for example, pay-off pattern “Taxi's charge-current payment-○ Tataro” (16 times) pay-off word number 3), and the top of the first pay-off word candidates is “ "Taxi fare", the top of the second summary word number is "repayment settlement", and the top of the last summary word candidate is "○ Taro". Next, the disclaimer pattern list in which the disclaimer patterns are rearranged in descending order of the total sum of the usage of the disclaimed word (eg taxi fare (the number of usage of the excuse word: 7 times)-preliminary settlement (the number of excuse word usage: 5)-○ Taro The number of excerpts used: 4 times The number of excerpted words 3 "(summary used in total: 16 times)," Taxi fee (7 times)-East □ commercial entertainment (3 times)-x Shimasaburo (3 times) excerpted words Number 3 "(13 times)," Bus fee (5 times)-へ To the tree company (3 times)-○ Tataro (4 times)-business talk (5 times) number of excerpt words 4 "(12 times)," Keio Expenses (5 times)-To Higashi □ Shoji (5 times)-○ Tantaro (4 times) No. of excerpts number 3 "(11 times) Based on the pattern list," Taxi fare (7 times), taxi Fee (7 times), bus fee (5 times), Keio expenses (5 times) are obtained, and the first summary The assistants are “taxi (7 times), bus (5 times), Keio (5 times)”.

In addition, the second summary word candidate from the pattern list is "Replacement settlement (5 times), Higashi □ commercial entertainment (3 times), へ To the tree company (3 times), Higashi □ commercial company (5 times)" It becomes. In addition, from the pattern list, “○ Tataro (4 times), × Shimasaburo (3 times), ○ Tanaro (4 times), ○ Tataro (4 times)” is acquired, and the third summary is extracted by the exclusion process. The word candidates are “○ Tataro (4 times), × Shima Saburo (3 times)”. In the present embodiment, display is performed in the order of high priority based on the total number of usages of the summary word of the summary pattern, but may be changed to display in order of high priority based on the number of usage of the usage term when displaying each summary word candidate. .

The input / output is determined as the payment information, such as the payment phrase (for example, "taxi fare-on-time settlement-x Shimasaburo") determined in S105. After creating journal data, register it in journal DB. At the time of registration of the journal data, it is checked whether the summary information summary information is in the subject summary pattern table as a summary pattern, and if there is no summary pattern that matches the summary information (S112: No), the summary information (example: taxi Substitute replacement settlement-× Shimasaburo ") is registered as a new abstract pattern in the subject abstract pattern table (S114). Further, if there is a disclaimer pattern that matches the relevant information (S112: Yes), 1 is added to the number of registrations of the registered matching disclaimer pattern, and the subject dispensation pattern table is updated (S113).

As another example of description, date (eg November 20), debit account (eg rent), credit account (eg cash), amount (eg 5,000 yen) transactions In the case of the pattern "monthly parking lot-second parking lot-monthly", the keyword dictionary is referred to, and the value of the processing column of the keyword dictionary of "monthly parking lot" is "date", so from the date in S104 or S105. "November parking lot" combined with the acquired "November" and extracted "Month parking lot" is displayed as a summary word candidate. "November parking lot fee" is displayed as a withdrawal phrase candidate, but "Monthly parking lot fee" is displayed as a withdrawal phrase candidate, and "Monthly parking lot fee" is selected, "November parking fee" "" May be substituted into the summary information.

In addition, “5,000 yen monthly” combined with “5,000 yen” acquired from the date in S104 and S105 and “monthly amount” combined is displayed as a candidate for the extracted word. "Monthly 5,000 yen" is displayed as a summary word candidate, but "Monthly amount" is displayed as a summary word candidate, and "Monthly amount 5,000 yen" is created when "monthly amount" is selected, and summary information It may be substituted for Furthermore, when it is not newly included in the excise word candidate, if it is newly added to the excise word, the direct input (not shown) at the bottom of the excise word candidate is selected, and the excise word (eg "company car") is newly added. Enter in When the input is confirmed, it is registered in the keyword dictionary.

When the date and amount are included in the summary information, such as “November parking fee-2nd parking garage-5,000 yen monthly-car for company” when registering in the subject summary pattern table in S106, etc. For the date, remove the date part of the date, and for the amount, remove the unit of the price and yen and other units, and add "Monthly parking lot-2nd parking lot-Monthly-car for company". It registers in the subject summary pattern table as a summary pattern.
In the present embodiment, the summary information is created from the summary pattern, but when creating the summary information, the subject summary table is referenced, the relevant summary type is set, and then the summary information is summary and summary information You may make it create.

According to this embodiment, it is possible to easily create the summary information simply by selecting the summary terms without the person in charge registering the summary information in advance or manually entering the summary information when entering the journal data. This has the effect of reducing the trouble of entering journal data. In addition, information on transactions necessary to select account items can be created as summary information. Further, by repeating the selection, the accuracy of the excise-phrase candidate can be enhanced, and excise-phrase candidates as if they are interlocked can be displayed for each item even if the words before and after are not associated.

Furthermore, the created summary information and the selected summary phrase are registered, and the registered summary information is fed back to the subject summary pattern table and the keyword dictionary, thereby repeating the learning of the summary information and the summary phrase to create summary information and summary phrase candidates. The accuracy of the display is enhanced, and appropriate summary information can be created and appropriate summary word candidates can be displayed. "Squeezed in stages"

While the first embodiment creates summary information using a subject summary pattern table in which debit and credit account items are associated with a summary pattern, the processing for creating summary information as the second embodiment is described with reference to the flowchart of FIG. Do.

The processing until the input screen of the accounting data is displayed is the same as that of S101 and thus the description is omitted. The date (eg November 20), the amount (eg 8,000 yen), the account of the debit (eg travel expenses and transportation expenses), the credit by the corresponding transaction while looking at the receipt or receipt for one transaction An account item (eg, cash) is input (S201).

The debit account type (eg, “traffic”) corresponding to the debit account type (eg, “traffic”) is acquired with reference to the item deduction table according to the debit account item (eg, travel cost and transportation cost) input (S202).

  Refer to the item summary table for the input credit account item (eg cash), and the corresponding payment type credit exception type (eg "food", "traffic", "purchase of goods", "other payment") Etc.) is acquired (S203).

The control unit compares the debit payment type (for example, “traffic”) acquired in S202 and the credit deduction type (for example, “food and drink”, “traffic”, “purchase of goods”, “other payments”, etc.) acquired in S203. , Set the corresponding payment type (eg "traffic") as the debit payment type and the credit payment type. When there are a plurality of coinciding payment types, they may be displayed as a list and selected, or a high priority may be set by setting the priority to the payment type (S204).

Description item composition (example: "traffic")-number of items 7 "traffic / fare / contents /" of the payment type (ex: "traffic") set in the debit payment type (or credit deduction type) with reference to the abstract type table "Payee / visitee / visit reason" is acquired (S205).

Based on the summary of the item configuration acquired in S205, keywords (summarization terms) associated with accounts from the keyword dictionary for each item are displayed in the order of high priority as summary terms candidates (S207). The priority order is set based on the number of appearances, the number of selections, and the like. The keyword dictionary is updated by adding 1 to the appearance frequency of the keyword corresponding to the displayed summary phrase candidate summary phrase.

As a modified example of S207, referring to a keyword for each abstract item configuration including evaluation information for each transaction configuration parameter associated with accounts for a plurality of transactions belonging to any transaction category from the keyword dictionary, the transaction configuration parameter for each keyword The transaction configuration information indicating the affiliation of each keyword is clustered by clustering keywords having similar configurations of evaluation information for each (loan, category, item, taxation classification code, tax rate code, etc.) The transaction configuration information is output to a keyword dictionary (not shown).

By selecting keywords from each of the transaction configurations having different taxation classification codes and tax rate codes based on the transaction configuration information, it is possible to select an optimal keyword that is an optimal combination of account items and tax rate codes for transactions from a plurality of selected keywords. It extracts for each item of the summary item composition as a summary phrase. Keywords may be selected one by one from each transaction configuration, or from the keyword dictionary, the number of occurrences and the number of selections of transaction configurations or keywords that are relatively close to each transaction configuration and the characteristics of the configuration are extracted. The number of keywords selected from each cluster may be weighted according to the number of times and the number of selections.

If no matching keyword is found in the keyword dictionary, the account data corresponding to the abstracted phrase included in the summary information of each journal data is referenced from the journal data DB, and the summary information of each journal data (transaction content and transaction status) ) Cluster the abstract terms and phrases that have the same configuration of evaluation information for each of the transaction configuration parameters (loose, category, item, tax classification code, tax rate code, etc.) included in) into the same transaction configuration. Obtain transaction configuration information (combination of transaction configuration parameters such as loan, category, item, tax classification code, tax code, etc.) indicating the affiliation of each comprehension term and output the transaction configuration information (not shown) to the keyword dictionary Do.

Based on the transaction configuration information, by selecting an excerpt from each of the transaction configurations different in tax classification code and tax rate code, select an excise phrase that is an optimal combination of account heading for the transaction, tax classification code and tax code. . Selection of the summary terms may be selected one by one from each trade configuration, or from the keyword dictionary, the number of occurrences of the trade configuration or the summary terms, the number of times of selection, the number of registrations The department name or the like may be extracted, and the number of the abstract terms selected from each cluster may be weighted according to the appearance frequency, the selection frequency, the registration frequency, the department name, or the like.

An excerpt word is selected from the excise word candidates displayed in S205. The selected abstract word candidate is determined as an abstract word, and 1 is added to the number of times of selection of the keyword corresponding to the confirmed abstract word to update the keyword dictionary.
(S208).

The processes of S207 and S208 are repeated as many times as the number of items of the summary item configuration acquired in S205 (example: number of items 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 excise word candidate selected in item 2 is substituted (confirmed) as a excise word (e.g. taxi fare) and the excise word substituted in item 1 (e.g. traffic) ( Example: Combine the summary terms assigned to item 2 (eg fare) after 8,000 yen to create summary information (eg taxi fare 8,000 yen).
In the embodiment, although combining is performed as it is, combining may be performed after the text shaping process is performed by adding particles to the excise word candidates selected in each item.

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

S207 and S208 will be described using a specific example. In the case of date (example: November 20), amount (example: 8,000 yen), debit account item (example: travel expenses and transportation expenses), the payment type is "traffic" and the payment type table is referred to In S207, a summary item configuration ("transportation"-"traffic / fare / content / payment destination / visit destination / visit destination / visit reason") is acquired.

For the item "traffic", a keyword matching the debit account item "travel expense transportation cost" and the item "traffic" is retrieved from the keyword dictionary, and is acquired as a candidate for the abstract. The keyword acquired from the keyword dictionary has a value of "None" in the processing column of the keyword dictionary. Therefore, candidate terms such as "tax money", "bus money", etc., which are keywords associated with account items (eg travel expenses and transportation costs) Displayed as "Taxi fare" (7 times of selection), "Bus fare" (5 times of selection), ... which are in descending order of the number of selection times, and when "Taxi fee" is selected, the item "Transportation" "Taxi fare" is substituted for and moves to the setting of the next item "fare".

The keyword dictionary is updated by adding 1 to the number of appearances of the abstract phrase displayed as the abstract phrase candidate such as “taxi fare”, “bus fare” and the like. In addition, 1 is added to the number of selections of the selected "tax money" (the number of selections 7), and the keyword dictionary is updated. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated.

Next, for the item "fare", a keyword matching the debit account item "travel expense transportation expenses" and the item "fare" is retrieved from the keyword dictionary, and is acquired as a candidate for a summary word. Since the value of the processing column in the keyword dictionary is "amount", which is the keyword "fare", "charge" etc. acquired from the keyword dictionary, "fare", "charge" etc. are displayed as candidate for the summary words and "fare" When it is selected, "fare 8,000 yen" in which the supplementary word candidate "fare" and the amount "8,000 yen" are combined is substituted for the item "fare", and the process proceeds to setting of the next item "content".

The keyword dictionary is updated by adding 1 to the number of appearances of the abstracted words displayed as the abstracted word candidates such as "fare" and "fee". Also, 1 is added to the number of times of selection of the selected "fare" to update the keyword dictionary. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated. If you do not want to enter the fare, prepare an input skip item such as "not selected" on the summary word candidate, and select the item skip item such as "not selected" as the summary word. The null character is substituted for ".

Next, for the item "content", a keyword matching the debit account items "travel expense and transportation expenses" and the item "content" is retrieved from the keyword dictionary, and is acquired as a candidate for a summary word. Since the value of the processing column of the keyword dictionary is "none" such as "repayment settlement" and "entertainment", which are keywords acquired from the keyword dictionary, "repayment settlement", "entertainment" and the like are displayed as candidate word candidates, When "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 appearances of the abstracted term displayed as the abstracted term candidates such as "repayment settlement" and "entertainment".

Next, for the item "payee", a keyword matching the debit account item "travel expense travel expenses" and the item "payee" is retrieved from the keyword dictionary, and is acquired as a candidate for summary word. Since the value of the processing column of the keyword dictionary is "none", such as "□ Kyoto taxi" and "city ○ bus" which are keywords acquired from the keyword dictionary, "□ Kyoto taxi", "city ○ bus" etc. Is displayed, and if “□ Kyoto taxi” is selected, “□ Kyoto taxi” is substituted for the item “Payee”, and the next item “visit destination” is set. The keyword dictionary is updated by adding 1 to the number of appearances of the abstracted words displayed as the abstracted word candidates such as "Kyoto taxi" and "Tokyo ○ bus".

In addition, 1 is added to the number of times of selection of the selected “Kyoto taxi” to update the keyword dictionary. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated.

Next, for the item "visited place", a keyword matching the debit account item "travel expenses and transportation costs" and the item "visited place" is retrieved from the keyword dictionary, and is acquired as a summary word candidate. Since the value of the processing column in the keyword dictionary is "None", etc., which are keywords "East □ Business" and "「 Wood Shokai ", which are keywords acquired from the keyword dictionary," East □ Business "," Δ Wood Shokai "etc. When "unselected" is selected, null characters are substituted for the item "visit destination", and the setting of the next item "visit reason" is performed. The keyword dictionary is updated by adding 1 to the number of appearances of the abstracted words displayed as the abstracted word candidates such as "East □ Business" and "Δ Tree Shokai".

Next, for the item "visiting reason", a keyword matching the debit account items "travel cost and transportation cost" and the item "visiting reason" is retrieved from the keyword dictionary, and is acquired as a candidate for a summary word. Since the value of the processing column in the keyword dictionary is "none", such as "about customers" and "negotiations" which are the keywords acquired from the keyword dictionary, "about customers" and "negotiations" etc. are displayed as candidate phrases for extraction. If "advance" is selected, "around customer" is substituted for the item "visiting reason" and there is no next item, so the flow proceeds to S206.

The keyword dictionary is updated by adding 1 to the number of appearances of the abstract phrase displayed as the abstract phrase candidate such as “around customer” or “negotiation”. Further, 1 is added to the selected number of times of "around customer" selected (S208), and the keyword dictionary is updated. Although this embodiment updates both the number of occurrences and the number of selections, only items used in the order of priority may be updated.

  In S206, "tax fare 8,000 yen (empty character) □ Kyoto taxi customer roundabout" is input as the summary information (S209). In case of text formatting process, it is entered as "tax fare 8,000 yen as a taxi fare (empty character) □ for customers around Kyoto taxi".

According to this embodiment, it is possible to easily create the summary information simply by selecting the summary terms without the person in charge registering the summary information in advance or manually entering the summary information when entering the journal data. This has the effect of reducing the trouble of entering journal data. In addition, information on transactions necessary to select account items can be created as summary information.

Further, by repeating the selection, the accuracy of the excise-phrase candidate can be enhanced, and excise-phrase candidates as if they are interlocked can be displayed for each item even if the words before and after are not associated. Furthermore, the created summary information and the selected summary phrase are registered, and the registered summary information is fed back to the subject summary pattern table and the keyword dictionary, thereby repeating the learning of the summary information and the summary phrase to create summary information and summary phrase candidates. The accuracy of the display is enhanced, and appropriate summary information can be created and appropriate summary word candidates can be displayed.

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

The processing until the input screen of the accounting data is displayed is the same as that of S101 and thus the description is omitted. About receipts and receipts, we digitize in advance and display the image and enter them while referring to it, and the contents of the receipts and receipts (eg, convenience store E book fee magazine 300 yen per book) will be OCR etc. beforehand It is converted to text by character recognition processing and associated with an image (S301).

The corresponding transaction while looking at the image of the receipt (for example, convenience store E book fee magazine one book 300 yen) date (for example November 20), amount (for example 300 yen), debit account item (for example newspaper) Book expenses), credit account items (eg, cash) are input (S302).

  A summary pattern (eg "Book fee-Magazine A-Convenience store E", "Book fee") corresponding to the account item (eg: Debit-newspaper book cost, credit-cash) entered with reference to the subject summary pattern table -Obtain a magazine B-D bookstore, "newspaper-newspaper C-○ Taro", etc. (S303).

  With reference to the item summary table, the debit account item (eg newspaper newspaper expenses) entered and the corresponding payment item type debit note type (eg "item purchase") and the credit item account (eg cash) ), And the control section compares the credit payment type (eg, “food and drink”, “traffic”, “purchase of goods”, “other payments”, etc.) corresponding to) and the corresponding payment type (eg, “purchase of goods” Set ") as the debit payment type and the credit payment type. If there are multiple matching payment types, they may be displayed as a list, and may be selected from the displayed list, or priorities may be set for the payment types, and those with high priority among the matching types are automatically set. You may make it do (S304).

The summary type is "Item Purchase", and the summary item table ("Item Purchase"-"Item Purchase / Book Price / Contents / Item Name / Payee / Quantity / Price") is acquired in S304 with reference to the Summary Type Table ( S305).

  The abstract pattern acquired in S303 (eg, "book fee-magazine A-convenience store E-1 book", "book fee-magazine B-D bookstore-1 volume," newspaper newspaper-newspaper C-convenience store E-1 copy " Etc.) to extract a description pattern (eg, “book fee-magazine A-convenience store E-1 book”) that matches the receipt content (eg, convenience store E book fee magazine 300 yen) obtained in S301 (S306) .

  The disclaimer pattern extracted in S306 is disassembled to obtain a disclaimer phrase (S307), and the disclaimer item configuration acquired in S305 ("item purchase"-"item purchase / book fee / contents / item name / payee / quantity / amount") Substitutes the excerpted phrase acquired while referring to the keyword dictionary to the abstract information ("item purchase / book fee / contents (eg: magazine A) / article name (eg: month issue) / payee (eg: convenience store E) / Quantity (example: 1 book) / amount (example: amount) "is automatically created (S308).

Since the value of the processing column in the keyword dictionary of the item name "Month" is "Date", "Nov" and "Month" acquired from the input date (example: November 20) are combined to "11" Assign "Month issue" to the item of item name. Also, since it is an item of the amount, a summary phrase of "amount" is added, and the value in the processing column of the keyword dictionary is "amount", so it is combined with "300 yen" acquired from the input amount (eg 300 yen) Alternatively, "300 yen" may be substituted for the item of money, or "300 yen" acquired from the input money (e.g. 300 yen) may be substituted for the item of money as it is.
Therefore, the information ("purchase of goods / book cost / contents (example: magazine A) / item name (example: November issue) / payee (example: convenience store E) / quantity (example: 1 book) / amount (example: An amount of ¥ 300) is automatically created.

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

According to this embodiment, it is possible to automatically create the summary information without the person in charge registering the summary information in advance or selecting the summary terms at the time of the journal data input, and the trouble of inputting the journal data is reduced. effective. Also, by registering the automatically created summary information and feeding back the registered summary information and selected summary phrases to the subject summary pattern table or the keyword dictionary, the accuracy of summary information creation is improved by repeating the learning of summary information, If you can get the text from the image of the receipt or receipt, you can automatically create the appropriate summary information.

  Furthermore, the processing in the present embodiment may be realized by software. Then, this software may be distributed by software download or the like. Also, the software may be distributed by being recorded on a recording medium such as a CD-ROM. This applies to the other embodiments in the present specification. The software for realizing the information processing apparatus in the present embodiment is the following program. That is, this program may be a program for executing the first to third embodiments or a modification of those embodiments.

As described above, the accounting processing apparatus, the accounting processing method, and the accounting processing program according to the present invention do not require the person in charge to register the introductory information in advance or to select the introductory words when inputting the journal data. It has the effect of being able to automatically create and reducing the time and effort of inputting journal data, and is useful as an accounting apparatus, accounting method, accounting program and the like.

1 Accounting Processor 1a Server 1b Terminal 10 Control Unit 30 Storage Unit 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 (17)

  The debit pattern is entered with reference to the subject dispensation pattern table, which associates and registers the account item that has been input, and a payment pattern that is a combination of one or more pay-in terms that make up the account information. Extraction means for extracting a payoff pattern that matches the account item and the credit item input as a key, means for creating a payoff pattern list from the extracted payout pattern, and priority order of the payout pattern for the payout pattern list A means having a function of registering information, a first means for displaying the summary patterns obtained from the summary pattern list as a summary sentence candidate in descending order of priority, and a summary sentence selected from the summary sentence candidates displayed An accounting processing apparatus comprising: second means for determining a candidate as a summary sentence. An account input debited with reference to a subject disclaimer pattern table that associates and registers an account item that has been input, and a means for accepting account item input and a combination of one or more abstract terms that make up the disclaimer information. Extraction means for extracting a payoff pattern that matches the subject and the credit item with the account item as a key, means for creating a payoff pattern list from the extracted payout pattern, and priority information of the payout pattern with the payout pattern list Refer to the keyword dictionary which registers as a keyword having the function of registering the key and the category showing the transaction content to the account terms related to the input account, and referring to the keyword dictionary referring to the keyword pattern list A means for acquiring a summary pattern of the summary pattern and the number of summary phrases, and the acquired summary A first means for displaying as a requirement candidate in descending order of priority, a second means for determining a withdrawal phrase candidate selected from the displayed withdrawal phrase candidates as a withdrawal phrase, a first means, and a second means An accounting processing apparatus comprising: means for repeating the process including the means by the number of the word / phrase number of the highest priority summary pattern based on the priority information of the summary pattern. The accounting processing apparatus according to claim 1 or 2, wherein the extraction means refers to the subject summary pattern table and at least a tax classification code, a tax code, and a department name associated with the summary pattern. An accounting processing apparatus characterized by extracting an agreeing pattern that matches the above as a key. The accounting processing apparatus according to any one of claims 1 to 3, wherein the input unit further receives an input of an amount, and the extraction unit refers to the item summary pattern table and matches the amount associated with the summary pattern as a key. An accounting processing apparatus characterized by extracting a payment pattern. The accounting processing apparatus according to any one of claims 1 to 3, wherein the input unit further receives an input of an amount, defines an account item as a reference object of a ratio of the amount as a target account item, and the input amount The ratio which is the ratio of the total amount of the target account items is determined, and the extraction means refers to the subject summary pattern table and further extracts a summary pattern that matches the ratio associated with the summary pattern as a key. Accounting processor. The accounting processing apparatus according to any one of claims 1 to 3, further comprising: means for registering journal data including at least an account item and an amount in the journal data DB, the input means further receiving an input of the amount, the journal An amount of money is generated based on a random number according to a predetermined probability distribution calculated based on the amount of money of all the journal data included in the data DB, and the extraction means refers to the item summary pattern table and associates the summary pattern with the summary pattern. An accounting processing apparatus characterized by extracting a corresponding payment pattern using the calculated amount as a key. The accounting processing apparatus according to claim 1 or 2, referring to the item summary pattern table including evaluation information for each transaction configuration parameter associated with accounts for a plurality of transactions belonging to any transaction category, Transaction composition information indicating the affiliation of each of the above-mentioned summary patterns by classifying each of the summary patterns having the same configuration of evaluation information having similar configurations of evaluation information for each of the summary patterns of each of the above-mentioned summary patterns. By selecting the introductory pattern from each of the transaction configurations based on the means for extracting the introductory information and the transaction configuration information, the introductory pattern which is an optimal combination of account items, taxation classification code and tax rate code for the transaction is acquired. And an accounting unit. Key to the account input by debit referring to the means to accept the input of the account, the summary of transaction contents and transaction situation classified by transaction category and the account account table registered in association with the input account As a means of acquiring a debit account type and a corresponding debit payment type, and a means for obtaining a credit deduction type corresponding to a credit item with the account input to the credit with reference to the above described item summary table as a key , Means for comparing debit payment type and the credit payment type, means for extracting debit payment type and payment type matching from the credit payment type, and transaction contents and transaction status broken down into keywords and grouped for each category The extracted item type is extracted with reference to the extracted item type table with reference to the item type table in which the itemized item configuration and the item type are associated with each other and registered. Account items for a plurality of transactions belonging to any transaction category of the keyword dictionary registered as a keyword which associates the category indicating the transaction contents with the means for acquiring the number of items and the item composition and the account terms related to the input account By referring to the evaluation information for each transaction configuration parameter associated with each other, and classifying keywords having similar configurations of evaluation information for each transaction configuration parameter of each keyword into predetermined word groups having the same transaction configuration. By selecting a keyword from each transaction configuration based on the transaction configuration information and means for extracting transaction configuration information indicating the affiliation of the keyword, an optimum keyword is acquired as a summary phrase for each item of the summary item configuration. And a first means for displaying the acquired said summary words as the summary word candidates in the order of high priority A second means for determining an excise-phrase candidate selected from the displayed excise-phrase candidates as an excise-phrase, and a means for repeating the process including the first means and the second means by the number of the excrement items An accounting processor characterized by comprising. The accounting processing apparatus according to any one of claims 1 to 8, wherein means for converting image data of a source voucher indicating transaction contents into image data, means for extracting text information from the image data, and input account items are related. Means for decomposing text information as an input keyword with reference to a keyword dictionary registered as a keyword in which transaction contents are associated with a category indicating the content of the transaction, and associating the determined payment term with the input keyword; An accounting processing apparatus comprising means for automatically creating summary information from the summary words and phrases, and means for associating the summary information with the image data. The accounting apparatus according to any one of claims 1 to 9, wherein the accounting item, the tax classification code, the tax code, and the accounting information from the accounting information and the accounting information prepared from the accounting statement and the determined accounting phrase. An accounting processing apparatus comprising: means for creating data; and means for registering the journal data in the journal data DB. The accounting processing apparatus according to claim 10, wherein: means for creating journal data including the account item and the summary information; and the registration information in the keyword dictionary when the journal data is registered in the journal data DB Depending on the presence or absence of the abstract phrase used in the above, 1 is added to the number of times of selection of the corresponding abstract word or the first means for automatically registering the relevant abstract word as a new keyword, and An accounting processing apparatus comprising: feedback means. The accounting processing apparatus according to any one of claims 10 to 15, wherein: means for creating journal data including the account item and the summary information; and the subject summary pattern when registering the journal data in the journal data DB A first means for adding 1 to the number of times of selection of the payment pattern matching the relevant payment information or automatically registering the relevant payment information as a new payment pattern according to the presence or absence of registration of the payment information in the table; An accounting processing apparatus comprising: means for providing feedback to the subject summary pattern table. The accounting processing apparatus according to any one of claims 10 to 15, wherein: means for receiving an input of a company that performs accounting processing; and a company database input with reference to a company DB in which company information to be subjected to accounting processing is registered. Means of acquiring a company code, means of acquiring matching journal data from the journal data DB using the acquired company code as a key, and a summary phrase included in the summary information of the journal data acquired with reference to the keyword dictionary An accounting processing apparatus comprising: means for extracting; and means for creating a keyword dictionary for each company based on the extracted abstract phrase. The accounting processing apparatus according to any one of claims 10 to 15, wherein: means for receiving an input of a company that performs accounting processing; and a company database input with reference to a company DB in which company information to be subjected to accounting processing is registered. A means for acquiring a company code, a means for acquiring matching journal data from the journal data DB using the acquired company code as a key, and a summary corresponding to the summary information of the journal data acquired with reference to the subject summary pattern table An accounting processing apparatus comprising: extraction means for extracting a pattern; and means for creating a summary pattern table for each company based on the summary pattern extracted. The accounting processing apparatus according to any one of claims 10 to 16, wherein a means for acquiring a target year and month which is an occurrence month of a transaction to be accounted for and a reference for which a occurrence time of a past transaction to be referred is set. A means for determining a reference period for limiting the date of occurrence of a past transaction to be referred to based on the setting and the target year, and extracting the journal data corresponding to the reference period from the journal data An accounting processing apparatus as described in the above, comprising: means; and means for creating a keyword dictionary for each company based on the extracted journal data. The accounting processing apparatus according to any one of claims 10 to 16, wherein a means for acquiring a target year and month which is an occurrence month of a transaction to be accounted for and a reference for which a occurrence time of a past transaction to be referred is set. A means for determining a reference period for limiting the date of occurrence of a past transaction to be referred to based on the setting and the target year, and extracting the journal data corresponding to the reference period from the journal data An accounting processing apparatus comprising: means; and means for creating a summary pattern table for each company based on the extracted journal data. A program for causing a computer to function as the accounting processing device according to any one of claims 1 to 16.