WO2011093025A1 - 入力支援システム、方法、およびプログラム - Google Patents
入力支援システム、方法、およびプログラム Download PDFInfo
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
Definitions
- Patent Document 1 An example of a sales support system that supports information processing obtained through sales activities by data input using this type of speech recognition is described in Japanese Patent Application Laid-Open No. 2005-284607.
- the business support system disclosed in Patent Document 1 is a database that stores a business information file related to business activities in a document format that can be connected to a client terminal having a call function and a communication function via the Internet, and specific business information in the database.
- a sales support server having a search processing unit for searching for a file; a voice recognition server having a voice recognition function capable of recognizing voice data and converting it into document data, connectable to the client terminal by a telephone network; It is composed of
- a salesperson who is a user can make a business report in text form and register it in the sales support system.
- a sales support system By switching from a sales support system to a voice recognition system for input items that require a large number of characters to be typed, they can be left as final character data in the server even when character input is not possible. .
- the computer program of the present invention is: In a computer that realizes an input support device having a database for storing data for a plurality of items, A procedure for comparing the input data obtained as a result of performing speech recognition processing on the speech data and the data stored in the database, and extracting data similar to the input data from the database; And a procedure for presenting the extracted data as a candidate to be registered in the database.
- the data processing method and the plurality of procedures of the computer program of the present invention are not limited to being executed at different timings. For this reason, another procedure may occur during the execution of a certain procedure, or some or all of the execution timing of a certain procedure and the execution timing of another procedure may overlap.
- the input support apparatus 100 includes, for example, a CPU (Central Processing Unit) (not shown), a memory, a hard disk, and a communication device, and is connected to an input device such as a keyboard and a mouse and an output device such as a display and a printer. It can be realized by a computer, a personal computer, or a device corresponding to them. Each function of each unit can be realized by the CPU reading the program stored in the hard disk into the memory and executing it.
- a CPU Central Processing Unit
- FIG. 2 shows an example of the structure of the database 10 in the input support system 1 of the present embodiment.
- a sales support system will be described as an example.
- FIG. 2 for the sake of simplicity, for example, a data group including daily report data is shown among the accumulated data of the database 10, but the structure of the database 10 is not limited to this, and is described above.
- various pieces of information are stored in association with each other. For example, information such as a company name, a department, and a person in charge in the data item of FIG. 2 is part of the customer information and can be associated with the customer information.
- a user calls a server (not shown) from a mobile terminal (not shown) such as a cellular phone, makes a business report by voice, and records voice data on the server. be able to.
- a recording device such as an IC recorder
- the audio data may be uploaded from the recording device to the server.
- a personal computer PC: Personal Computer
- a microphone not shown
- the user's speech may be recorded with the microphone
- the voice data may be uploaded from the PC to the server via the network.
- the voice data acquisition means and method spoken by these users can take various forms and are not related to the essence of the present invention, and thus will not be described in detail.
- a configuration may be adopted in which information is transmitted to the server by sending an e-mail with an information file including audio data attached to a predetermined e-mail address.
- the voice data D0 is input to the input support system 1, subjected to voice recognition processing by the voice recognition processing unit 102, converted into text data, and output to the extraction unit 104 as input data.
- the extraction unit 104 extracts from data already registered in the database 10, so redundant expressions such as “Eh” are not extracted as candidates because they do not exist in the database 10. . Further, even when there is a recognition error by the voice recognition processing unit 102, the extraction unit 104 extracts similar data existing in the database 10, so that the extracted data can be confirmed, and the correct data It becomes possible to select.
- the presentation unit 106 displays the data extracted by the extraction unit 104 on the screen as a candidate to be registered in the database 10 on the display unit (not shown) of the input support apparatus 100 and presents it to the user.
- the presentation unit 106 may display this screen on a display unit (not shown) of a user terminal different from the input support apparatus 100 connected to the input support apparatus 100 via a network.
- the presenting unit 106 presents the candidate to the user and selects the presented candidate using a user interface such as a pull-down list, a radio button, a check box, or a free text input field.
- a user interface such as a pull-down list, a radio button, a check box, or a free text input field.
- the registration unit 110 registers the data received by the receiving unit 108 in the corresponding item as a new record in the database 10.
- the computer program of this embodiment may be recorded on a computer-readable storage medium.
- the recording medium is not particularly limited, and various forms can be considered.
- the program may be loaded from a recording medium into a computer memory, or downloaded to a computer through a network and loaded into the memory.
- the data processing method of the input support apparatus is a data processing method of the input support apparatus including the database 10 that accumulates data for a plurality of items, and is obtained as a result of performing voice recognition processing on the voice data D0.
- the obtained input data is compared with the data stored in the database 10, data similar to the input data is extracted from the database 10, and the extracted data is presented as a candidate to be registered in the database 10.
- the extraction unit 104 compares the input data obtained from the speech recognition processing unit 102 with the data stored in the database 10, and extracts data similar to the input data from the database 10 (step S105 in FIG. 3). . Then, the presentation unit 106 displays the data extracted in step S105 in FIG. 3 as a candidate to be registered in the database 10 on the display unit and presents it to the user (step S107 in FIG. 3). When the user selects data to be registered for each item from the candidates, the accepting unit 108 accepts selection of data to be registered for each item from the candidates (step S109 in FIG. 3). Then, the registration unit 110 registers the received data as a new record in the corresponding item of the database 10 (step S111 in FIG. 3).
- the speech recognition processing unit 102 (FIG. 1) performs speech recognition processing on the speech data D0 ( As the recognition result input data D1, for example, a plurality of pieces of data d1, d2,... For each word are obtained.
- the data is divided for each word, but is not limited to this, and can be divided for each phrase or sentence. In FIG. 4, only a part of the data is shown for the sake of simplicity.
- the extraction unit 104 includes data including two data “Takahashi” and “Tanaka” corresponding to the records R1 and R2 from the item 12 of the person in charge. Extract. Also, the “d” in the data d1 of the recognition result input data D1 in FIG. 4 is a redundant expression, and there is no corresponding data in the comparison with the database 10, so that similar data is not extracted.
- the presentation unit 106 displays the extracted data as a candidate to be registered in the database 10 on a display unit (not shown) and presents it to the user (step S5 in FIG. 4).
- the presentation unit 106 presents the candidate list 122 including two data “Takahashi” and “Tanaka” extracted by the extraction unit 104 (FIG. 1).
- such a candidate list 122 can be provided for each item 12, the data extracted by the presentation unit 106 can be displayed as the candidate list 122, and data to be registered with the user can be selected for each item 12. .
- the recognition result “Takanashi” can be separately presented to the user and confirmed together with the extracted similar data. It may be.
- the input support system 1 As described above, according to the input support system 1 according to the embodiment of the present invention, it is possible to appropriately and efficiently input data by voice recognition. According to this configuration, since the voice recognition result can be presented as input candidates from the data already stored in the database 10, there is no error due to an error in the data due to an error in the voice recognition result or an unrelated utterance or error. Appropriate data can be excluded. Data can be accumulated in a unified expression, making it easier to view when browsing the data, and easier to analyze and use the data. At the time of input, data correction work can be greatly reduced, and work efficiency is improved. Furthermore, since the data extracted from the database 10 is presented to the user, an appropriate expression can be presented to the user. Therefore, since the user can see and remember what expression is more appropriate, the user can speak with a more appropriate unified expression, and the data input accuracy is improved.
- the input support system 2 of the present embodiment includes a speech recognition processing unit 202 that performs speech recognition processing of speech data, and speech recognition processing based on speech feature information for each item for a plurality of items.
- the input support system 2 of the present embodiment includes an input support device 200 instead of the input support device 100 of the input support system 1 of the embodiment of FIG.
- the input support apparatus 200 has the same configuration as the input support apparatus 100 of the above-described embodiment of FIG. 1, and further includes a speech recognition processing unit 202, an extraction unit, in addition to the presentation unit 106, the reception unit 108, and the registration unit 110. 204, a specifying unit 206, and a voice feature information storage unit (shown as “voice feature information” in the drawing) 210.
- the voice feature information storage unit 210 stores voice feature information of data for a plurality of items.
- the audio feature information storage unit 210 includes a plurality of item-specific language models 212 (M1, M2,..., Mn) (where n is a natural number), for example, as shown in FIG. . That is, a language model suitable for each item is provided.
- the language model here defines a word dictionary for speech recognition and ease of connection between words included in the dictionary.
- the item-specific language model 212 of the speech feature information storage unit 210 can be constructed exclusively for each item based on the data of each item stored in the speech feature information storage unit 210.
- the voice feature information storage unit 210 may not be included in the input support device 200 but may be included in another storage device or the database 10.
- the identification unit 206 recognizes each part of the speech data by using the item-specific language model 212 in the speech recognition processing unit 202, and the probability of recognition of each part of the obtained input data. Based on the score, a part with a good recognition result is adopted, and an item corresponding to the item-specific language model 212 used for speech recognition processing of the adopted data part is specified as an item of the data part.
- the specifying unit 206 extracts, from the voice data D0, an expression part similar to the utterance expression related to the item based on the result of the voice recognition by the voice recognition processing unit 202, the voice data D0, and the utterance expression information.
- the designated expression part is specified as the data of the related item. That is, the specifying unit 206 refers to the utterance expression information storage unit, and extracts a portion similar to the utterance expression stored in the utterance expression information storage unit from the series of voice data D0 and the speech recognition result. By doing so, the data portion for each item can be specified.
- FIG. 7 shows an example of a daily report screen 150 of sales activities displayed on the presentation unit 106.
- each data candidate extracted by the extraction unit 204 is displayed on the daily report screen 150.
- data such as date of sales activity, time, customer name, customer service, etc. are displayed in a pull-down menu 152.
- target products and the like are displayed by check boxes 154.
- other information such as a speech recognition result itself may be displayed in a text box 156 or the like, or only a recognition result that does not apply to each item may be displayed.
- the presentation unit 106 may display the daily report screen 150 on a display unit (not shown) of a user terminal different from the input support apparatus 200 connected to the input support apparatus 200 via a network.
- the user can select data with the pull-down menu 152 and the check box 154 as appropriate, or can correct and add the contents of the text box 156 while checking the contents.
- the reception part 108 receives selection of the data registered for every item from a candidate (step S209 of FIG. 8). Then, the registration unit 110 registers the received data in the corresponding item of the database 10 (step S111 in FIG. 8). For example, as shown in FIG. 2, data is registered in each item of a new record (ID0003) in the database 10.
- candidate data is associated with the item specified by the specifying unit 206, data is selected from the candidates based on a predetermined condition, and the database 10 is automatically selected.
- An automatic registration unit (not shown) for registering with the above may be further provided.
- This configuration is efficient because data can be automatically associated with each item and registered.
- the reliability of the automatically registered data is also improved.
- the selection condition for example, a condition for preferentially selecting the one having a high similarity to the speech recognition result, or the probability of the speech recognition result is higher than a predetermined value, and the similarity is set to a predetermined level or more. It is a condition or a priority set in advance by the user.
- a generation unit (not shown) that generates a new input data candidate for an item based on data similar to the input data can be provided.
- the presentation unit 106 can present the candidate generated by the generation unit as data for the item.
- new data can be generated as candidates based on the input data and the data stored in the database 10 and presented to the user. For example, when the user utters “Today”, based on the data for the “Date” item registered in the database 10, for example, from the information on the recording date of the voice data, As a candidate, the result recognized as “today” can be changed to “January 10, 2010” which is the date of recording date, and can be generated as a candidate for input data.
- the input support system may further include a difference extraction unit (not shown) that receives a plurality of audio data related to each other in time series and extracts a difference portion of the audio data.
- the extraction unit 104 or the extraction unit 204 performs speech recognition processing on the difference portion extracted by the difference extraction unit, compares the obtained difference of the input data with the data stored in the database 10, and inputs Data similar to the data difference can be extracted from the database 10.
- the related audio data can be registered in the database 10 only for the difference portion by obtaining the difference by arranging them in time series. Since only the changed part of the voice data related to the related matters is registered in the database 10, it is possible to prevent redundant registration of unnecessary data. Thereby, the storage capacity of the database 10 can be significantly reduced. Further, confirmation of the presented data can be configured such that the data of items other than the difference is omitted and is not presented, or the user is notified that confirmation is unnecessary. In addition, the processing load related to registration can be reduced, and the processing speed can be increased.
- a lack extraction unit (not shown) that extracts items that are not obtained from voice data among items necessary for a report and the like, and lack of extracted data
- a notification unit (not shown) for notifying the user.
- the presenting unit 106 can present the extracted candidates for data deficient items and prompt the user to select data. According to this configuration, since necessary information can be input in an appropriate expression without being deficient, the utility value of data stored in the database 10 is increased.
- the user receives an instruction to modify the item data candidates presented by the presentation unit 106, and further performs update processing by registration or overwriting as corresponding item data in the database 10. You may provide the update part to perform.
- the input data obtained as a result of the speech recognition process may be presented to the user by the presentation unit 106.
- An item editing unit that takes out a part of the presented input data, accepts a user instruction as new item data, creates a new item in the database 10, and registers the extracted part of the data. Further, it may be provided.
- the item editing unit can receive an instruction to delete an existing item or change an item, and can perform processing to delete or change an item in the database 10. According to these configurations, data in the existing database 10 can be updated, items can be newly added, deleted, changed, and the like.
Abstract
Description
複数の項目に対するデータを蓄積するデータベースと、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出する抽出手段と、
抽出された前記データを前記データベースに登録する候補として提示する提示手段と、を備える。
複数の項目に対するデータを蓄積するデータベースを備えた入力支援装置のデータ処理方法であって、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出し、
抽出された前記データを前記データベースに登録する候補として提示する。
複数の項目に対するデータを蓄積するデータベースを備えた入力支援装置を実現するコンピュータに、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出する手順と、
抽出された前記データを前記データベースに登録する候補として提示する手順と、を実行させるためのコンピュータプログラムである。
図1は、本発明の実施の形態に係る入力支援システム1の構成を示す機能ブロック図である。
同図に示すように、本実施形態の入力支援システム1は、複数の項目に対するデータを蓄積するデータベース10と、音声データD0に音声認識処理を行った結果、得られた入力データと、データベース10に蓄積されているデータとを比較して、入力データに類似するデータをデータベース10から抽出する抽出部104と、抽出されたデータをデータベースに登録する候補として提示する提示部106と、を備える。また、本実施形態の入力支援システム1において、提示部106が提示した候補の中から、項目に対して登録するデータの選択を受け付ける受付部108と、受け付けたデータを、データベース10の対応する項目に登録する登録部110と、をさらに備える。
また、入力支援システム1の各構成要素は、任意のコンピュータのCPU、メモリ、メモリにロードされた本図の構成要素を実現するプログラム、そのプログラムを格納するハードディスクなどの記憶ユニット、ネットワーク接続用インタフェースを中心にハードウェアとソフトウェアの任意の組合せによって実現される。そして、その実現方法、装置にはいろいろな変形例があることは、当業者には理解されるところである。以下説明する各図は、ハードウェア単位の構成ではなく、機能単位のブロックを示している。
また、競合情報は、競合取引先とその取引量・期間などに関する情報を含むことができる。顧客との接触履歴は、「いつ、誰が、誰に、どこで、何を、反応および結果は?」といった情報を含むことができる。
また、本発明の入力支援システム1は、SaaS(Software As A Service)型のサービスとして、ユーザに提供することもできる。
以下、図1乃至図4を用いて説明する。
まず、ユーザは、営業活動の報告を作成するために、発話にて活動報告を行い、その音声データを収録する。上述したように、音声データの収録方法は、様々な方法があるが、ここでは、たとえば、ICレコーダ(不図示)を用いて音声データを収録し、図1の入力支援装置100にアップロードした音声データを入力支援装置100の音声認識処理部102が受け付けるものとする(図3のステップS101)。音声認識処理部102が入力された音声データD0を音声認識処理し(図3のステップS103)、その結果を入力データとして抽出部104に受け渡す。
たとえば、項目12毎に、このような候補リスト122をそれぞれ設け、提示部106により抽出されたデータを候補リスト122として表示させ、各項目12毎に、ユーザに登録するデータを選択させることができる。
また、この例のように、認識結果の「高梨」と完全に一致するデータがなかった場合、抽出された類似データとともに、認識結果の「高梨」も、別途ユーザに提示して、確認できるようにしてもよい。
この構成によれば、音声認識結果の中から、既にデータベース10に蓄積されているデータから入力候補として提示できるので、音声認識結果の誤りによるデータの間違いや関係のない発言や言い間違いなどによる不適切なデータを排除できる。統一された表現で、データを蓄積していくことができるので、データを閲覧する時に見やすくなり、また、データの解析や活用がしやすくなる。入力時に、データの修正作業も大幅に削減でき、作業効率が向上する。
さらに、データベース10から抽出されたデータをユーザに提示するので、ユーザに適切な表現を提示できる。そのため、ユーザはどのような表現がより適切なのかを見て覚えることができるので、より適切な統一された表現で発話するようになり、データの入力精度が向上する。
図5は、本発明の実施の形態に係る入力支援システム2の構成を示す機能ブロック図である。
本実施形態の入力支援システム2は、上記実施の形態とは、入力データがデータベース10のどの項目に対応するかを特定する点で相違する。
抽出部204は、データベース10を参照し、特定された入力データの各部分と、各部分に対応する項目に対する項目別データ群220の中のデータとを比較して、入力データの各部分に類似するデータを抽出する。上記実施形態のように、データベース10内の全てのデータを検索する例に比較して、本実施形態では、データベース10内の予め項目別に分けられたデータを含む項目別データ群220の中のデータを検索して、類似するデータを抽出することができるので、検索処理効率がよく、処理速度が速くなり、また抽出されるデータの正確さが増すこととなる。
たとえば、上記実施形態の入力支援システム2において、特定部206により特定された項目に、候補のデータを対応付け、所定の条件に基づいて候補の中からデータを選択して、データベース10に自動的に登録する自動登録部(不図示)をさらに備えてもよい。
この構成によれば、音声データに対するタグ情報として、たとえば、タイトル、カテゴリ、備考などを新たに付与することができ、より入力の効率を向上することができる。
これらの構成によれば、既存のデータベース10のデータを更新したり、項目を新たに追加したり、削除、変更などを行うことができる。
なお、本発明において利用者に関する情報を取得、利用する場合は、これを適法に行うものとする。
Claims (12)
- 複数の項目に対するデータを蓄積するデータベースと、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出する抽出手段と、
抽出された前記データを前記データベースに登録する候補として提示する提示手段と、を備える入力支援システム。 - 請求項1に記載の入力支援システムにおいて、
前記提示手段が提示した前記候補の中から、前記項目に対して登録するデータの選択を受け付ける受付手段と、
受け付けた前記データを、前記データベースの対応する前記項目に登録する登録手段と、をさらに備える入力支援システム。 - 請求項1または2に記載の入力支援システムにおいて、
前記音声データの音声認識処理を行う音声認識手段と、
複数の前記項目に対する前記データ毎の音声特徴情報に基づいて、前記音声認識手段により前記音声データを音声認識処理して得られる前記入力データの中から、各項目に対応する部分をそれぞれ特定する特定手段と、をさらに備え、
前記抽出手段は、前記データベースを参照し、特定された前記入力データの各部分と、前記各部分に対応する前記項目に対する前記データベースの前記データとを比較して、前記入力データの前記各部分に類似するデータを前記データベースの対応する前記項目から抽出する入力支援システム。 - 請求項3に記載の入力支援システムにおいて、
前記提示手段は、前記特定手段により特定された前記項目に、前記抽出手段により抽出された前記候補の前記データを対応付けて提示する入力支援システム。 - 請求項3または4に記載の入力支援システムにおいて、
前記特定手段により特定された前記項目に、前記候補の前記データを対応付け、所定の条件に基づいて前記候補の中からデータを選択して、前記データベースに自動的に登録する自動登録手段をさらに備える入力支援システム。 - 請求項3乃至5いずれかに記載の入力支援システムにおいて、
前記音声認識手段は、複数の前記項目毎に、複数の言語モデルを用いて前記音声データの音声認識処理を行い、
前記特定手段は、前記音声認識手段により、前記音声データの前記各部分について、それぞれ複数の前記言語モデルで音声認識処理を行った結果、得られた入力データの前記各部分について、認識の確からしさに基づいて、認識結果の良好なものが得られた言語モデルの項目を特定し、前記入力データの前記部分は、特定された項目のデータであると特定する入力支援システム。 - 請求項3乃至6いずれかに記載の入力支援システムにおいて、
複数の前記項目にそれぞれ関連付けられた複数の発話表現情報を記憶する表現記憶装置を備え、
前記特定手段は、前記音声認識手段が音声認識処理を行う時に、前記音声データと前記発話表現情報に基づいて、前記項目に関連する発話表現に類似する表現部分を前記音声データから抽出し、抽出された前記表現部分を関連する項目のデータであると特定する入力支援システム。 - 請求項1乃至7いずれかに記載の入力支援システムにおいて、
前記音声データに音声認識処理を行った結果、得られた前記入力データまたは前記抽出手段により抽出された前記入力データに類似するデータに基づいて、前記項目に対する入力データの新たな候補を生成する生成手段をさらに備え、
前記提示手段は、前記生成手段が生成した前記候補を前記項目に対するデータとして提示する入力支援システム。 - 請求項8に記載の入力支援システムにおいて、
前記生成手段は、前記音声データに音声認識処理を行った結果、得られた前記入力データに対してアノテーション処理を行い、タグ情報を付与し、新たな項目の候補として生成する入力支援システム。 - 請求項1乃至9いずれかに記載の入力支援システムにおいて、
互いに関連のある複数の前記音声データを時系列に受け付け、前記音声データの差分の部分を抽出する差分抽出手段をさらに備え、
前記抽出手段は、前記差分抽出手段により抽出された前記差分の前記部分について音声認識処理を行い、得られた入力データの前記差分と、前記データベースに蓄積されている前記データとを比較して、前記入力データの前記差分に類似するデータを前記データベースから抽出する入力支援システム。 - 複数の項目に対するデータを蓄積するデータベースを備えた入力支援装置のデータ処理方法であって、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出し、
抽出された前記データを前記データベースに登録する候補として提示する入力支援装置のデータ処理方法。 - 複数の項目に対するデータを蓄積するデータベースを備えた入力支援装置を実現するコンピュータに、
音声データに音声認識処理を行った結果、得られた入力データと、前記データベースに蓄積されている前記データとを比較して、前記入力データに類似するデータを前記データベースから抽出する手順と、
抽出された前記データを前記データベースに登録する候補として提示する手順と、を実行させるためのコンピュータプログラム。
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