常用詞彙和概念的語言理解詞彙Language understanding glossary of common vocabulary and concepts

Language Understanding (LUIS) 詞彙說明使用 LUIS API Service 時可能遇到的字詞。The Language Understanding (LUIS) glossary explains terms that you might encounter as you work with the LUIS API Service.

使用中版本Active version

使用中的 LUIS 版本是收到模型任何變更的版本。The active LUIS version is the version that receives any changes to the model. LUIS入口網站中,如果您想要變更不是作用中版本的版本,您必須先將該版本設定為使用中。In the LUIS portal, if you want to make changes to a version that is not the active version, you need to first set that version as active.

編寫Authoring

撰寫是使用LUIS入口網站或撰寫 api來建立、管理和部署LUIS 應用程式的功能。Authoring is the ability to create, manage and deploy a LUIS app, either using the LUIS portal or the authoring APIs.

編寫金鑰Authoring Key

先前命名為「程式設計」金鑰。Previously named "Programmatic" key. 用來編寫應用程式。Used to author the app. 不用於生產環境層級的端點查詢。Not used for production-level endpoint queries. 如需詳細資訊,請參閱金鑰限制For more information, see Key limits.

批次測試 JSON 檔案Batch test JSON file

批次測試是能夠以一致且已知的使用者語句測試集來驗證目前 LUIS 應用程式的模型。Batch testing is the ability to validate a current LUIS app's model with a consistent and known test set of user utterances. 批次測試是在JSON 格式的檔案中定義。The batch test is defined in a JSON formatted file.

另請參閱:See also:

共同作業者Collaborator

共同作業者/參與者不是應用程式的擁有者,但具備新增、編輯和刪除意圖、實體、語句的相同許可權。A collaborator/contributor, is not the owner of the app, but has the same permissions to add, edit, and delete the intents, entities, utterances.

資料流程Contributor

參與者與共同作業者是相同的事。A contributor is the same thing as a collaborator.

描述項Descriptor

描述項是在定型時間套用至模型的功能,包括片語清單實體A descriptor is a feature applied to a model at training time, including phrase lists and entities.

領域Domain

在 LUIS 的脈絡中,領域是一個知識的範圍。In the LUIS context, a domain is an area of knowledge. 您的領域與您的應用程式知識範圍有關。Your domain is specific to your app area of knowledge. 這可以是一般的範圍,例如旅行社應用程式。This can be a general area such as the travel agent app. 旅行社應用程式也可以只與您公司的資訊範圍有關,例如特定的地理位置、語言和服務。A travel agent app can also be specific to just the areas of information for your company such as specific geographical locations, languages, and services.

端點Endpoint

LUIS 端點 URL 是您編寫和發佈 LUIS 應用程式之後,送出 LUIS 查詢的位置。The LUIS endpoint URL is where you submit LUIS queries after the LUIS app is authored and published. 端點 URL 包含已發佈應用程式的區域,以及應用程式識別碼。The endpoint URL contains the region of the published app as well as the app ID. 您可以在應用程式的金鑰和端點頁面上找到端點,或者可以從 Get App Info API 取得端點 URL。You can find the endpoint on the Keys and endpoints page of your app, or you can get the endpoint URL from the Get App Info API.

實體Entity

實體語句中的重要字詞,描述與意圖有關的資訊,有時候不可或缺。Entities are important words in utterances that describe information relevant to the intent, and sometimes they are essential to it. 實體在 LUIS 中基本上是一種資料類型。An entity is essentially a datatype in LUIS.

F 量值F-measure

批次測試中,是指測試精確度的量值。In batch testing, a measure of the test's accuracy.

誤否定(FN)False negative (FN)

批次測試中,資料點代表您的應用程式不正確預測了不存在目標意圖/實體的語句。In batch testing, the data points represent utterances in which your app incorrectly predicted the absence of the target intent/entity.

錯誤正面(FP)False positive (FP)

批次測試中,資料點代表您的應用程式不正確預測了存在目標意圖/實體的語句。In batch testing, the data points represent utterances in which your app incorrectly predicted the existence of the target intent/entity.

特性Features

在機器學習中,特性是您的系統觀察到的資料特徵或屬性。In machine learning, a feature is a distinguishing trait or attribute of data that your system observes.

意圖Intent

意圖代表使用者想要執行的工作或動作。An intent represents a task or action the user wants to perform. 它是使用者輸入中表達的目的或目標,例如預訂班機、支付帳單,或尋找新聞文章。It is a purpose or goal expressed in a user's input, such as booking a flight, paying a bill, or finding a news article. 在 LUIS 中,意圖預測是以整個語句為基礎。In LUIS, the intent prediction is based on the entire utterance. 相較之下,實體是語句的片段。Entities, by comparison, are pieces of an utterance.

加上標籤Labeling

標記或標示,是將意圖語句中的單字或片語與實體(資料類型)產生關聯的程式。Labeling, or marking, is the process of associating a word or phrase in an intent's utterance with an entity (datatype).

LUIS 應用程式LUIS app

LUIS 應用程式是自然語言處理的語言模型集合,包括意圖實體和標示的語句A LUIS app is a collection of language models for natural language processing including intents, entities, and labeled utterances.

擁有者Owner

每個應用程式都有一個擁有者,這是建立應用程式的人員。Each app has one owner who is the person that created the app. 擁有者可以新增共同作業者The owner can add collaborators.

模式Patterns

先前的「模式」(Pattern) 特性已被模式 (Patterns) 取代。The previous Pattern feature is replaced with Patterns. 使用模式可以透過提供較少的定型範例提高預測準確度。Use patterns to improve prediction accuracy by providing fewer training examples.

片語清單Phrase list

片語清單包含一組屬於相同類別的值 (單字或片語),而且必須以類似的方式處理 (例如城市或產品的名稱)。A phrase list includes a group of values (words or phrases) that belong to the same class and must be treated similarly (for example, names of cities or products). 可互換的清單會被視為同義字。An interchangeable list is treated as synonyms.

預先建置的領域Prebuilt domain

預先建置的領域是針對特定領域設定的 LUIS 應用程式,例如家庭自動化 (HomeAutomation) 或餐廳預約 (RestaurantReservation)。A prebuilt domain is a LUIS app configured for a specific domain such as home automation (HomeAutomation) or restaurant reservations (RestaurantReservation). 意圖、語句和實體會針對此領域設定。The intents, utterances, and entities are configured for this domain.

預先建置的實體Prebuilt entity

預先建置的實體是 LUIS 針對一般的資訊類型 (例如數字、URL 和電子郵件) 提供的實體。A prebuilt entity is an entity LUIS provides for common types of information such as number, URL, and email. 您可以選擇在您的應用程式中加入預先建置的實體。You choose to add a prebuilt entity to your application.

精確度Precision

批次測試中,精確度 (也稱為陽性預測值) 是相關語句在所擷取語句之間的比例。In batch testing, precision (also called positive predictive value) is the fraction of relevant utterances among the retrieved utterances.

程式設計金鑰Programmatic key

已重新命名為編寫金鑰Renamed to authoring key.

發佈Publish

發行表示在預備或生產端點上提供 LUIS 的作用中版本。Publishing means making a LUIS active version available on either the staging or production endpoint.

配額Quota

LUIS 配額是 Azure 訂用帳戶層的限制。LUIS quota is the limitation of the Azure subscription tier. LUIS 配額會受到每秒要求數 (HTTP 狀態 429) 和一個月的要求總數 (HTTP 狀態 403) 兩者的限制。The LUIS quota can be limited by both requests per second (HTTP Status 429) and total requests in a month (HTTP Status 403).

記憶Recall

批次測試中,記憶 (也稱為敏感度) 是 LUIS 一般化的功能。In batch testing, recall (also known as sensitivity), is the ability for LUIS to generalize.

語意字典Semantic dictionary

[清單實體] 頁面和 [片語清單] 頁面都提供語意字典。A semantic dictionary is provided on the List entity page as well as the Phrase list page. 語意字典根據目前的範圍提供單字的建議。The semantic dictionary provides suggestions of words based on the current scope.

情感分析Sentiment Analysis

情感分析提供由文字分析提供的語句的正值或負值。Sentiment analysis provides positive or negative values of the utterances provided by Text Analytics.

語音預備Speech priming

語音預備可讓您的語音服務準備好與您的 LUIS 模型搭配運作。Speech priming allows your speech service to be primed with your LUIS model.

拼字校正Spelling correction

啟用 Bing 拼字檢查工具,可在預測之前更正語句中拼字錯誤的單字。Enable Bing spell checker to correct misspelled words in the utterances before prediction.

入門金鑰Starter key

第一次開始使用 LUIS 時要使用的免費金鑰。A free key to use when first starting out using LUIS.

表示Structure

將結構新增至機器學習的實體,以提供具有描述項(功能)和條件約束(正則運算式或清單實體)的子元件。Add structure to a machine-learned entity to provide subcomponents with descriptors (features) and constraints (regular expression or list entities).

訂用帳戶金鑰Subscription key

訂用帳戶金鑰是與您在 Azure 中建立之 LUIS 服務相關聯的預測端點金鑰。The subscription key is the prediction endpoint key associated with the LUIS service you created in Azure. 這個金鑰不是編寫金鑰This key is not the authoring key. 如果您有端點金鑰,則應該針對任何端點要求使用,而不是針對撰寫金鑰使用。If you have an endpoint key, it should be used for any endpoint requests instead of the authoring key. 您可以在 LUIS 網站中金鑰和端點頁面底部的端點 URL 內,查看您目前的端點金鑰。You can see your current endpoint key inside the endpoint URL at the bottom of Keys and endpoints page in LUIS website. 這是 subscription-key 名稱/值組的值。It is the value of subscription-key name/value pair.

測試Test

測試 LUIS 應用程式表示將語句傳入 LUIS 並檢視 JSON 結果。Testing a LUIS app means passing an utterance to LUIS and viewing the JSON results.

時區位移Timezone offset

端點包含 timezoneOffset。The endpoint includes timezoneOffset. 這是您想要加入 datetimeV2 預先建置的實體或從中移除的分鐘數。This is the number in minutes you want to add or remove from the datetimeV2 prebuilt entity. 例如,如果語句是「現在是幾點?」,傳回的 datetimeV2 是用戶端要求的目前時間。For example, if the utterance is "what time is it now?", the datetimeV2 returned is the current time for the client request. 如果您的用戶端要求是來自 Bot 或與您 Bot 使用者不同的其他應用程式,則您應該傳入 Bot 與使用者之間的時差。If your client request is coming from a bot or other application that is not the same as your bot's user, you should pass in the offset between the bot and the user.

請參閱變更預先建置 datetimeV2 實體的時區See Change time zone of prebuilt datetimeV2 entity.

語彙基元Token

語彙基元是實體中可以加上標籤的最小單位。A token is the smallest unit that can be labeled in an entity. Token 化是以應用程式的文化特性為基礎所進行。Tokenization is based on the application's culture.

定型Train

定型是一種 LUIS 的程式,可在上一次訓練之後,對作用中版本的任何變更進行教學。Training is the process of teaching LUIS about any changes to the active version since the last training.

真否定 (TN)True negative (TN)

批次測試中,資料點代表您的應用程式正確預測了不存在目標意圖/實體的語句。In batch testing, the data points represent utterances in which your app correctly predicted the absence of the target intent/entity.

真肯定 (TP)True positive (TP)

批次測試中,資料點代表您的應用程式正確預測了存在目標意圖/實體的語句。In batch testing, the data points represent utterances in which your app correctly predicted the existence of the target intent/entity.

語句Utterance

語句是一種自然語言片語,例如「訂兩張機票下星期二到西雅圖」。An utterance is a natural language phrase such as "book 2 tickets to Seattle next Tuesday". 意圖中會加入範例語句。Example utterances are added to the intent.

版本Version

LUIS 版本是與 LUIS 應用程式識別碼和已發佈端點相關聯的特定資料模型。A LUIS version is a specific data model associated with a LUIS app ID and the published endpoint. 每個 LUIS 應用程式至少會有一個版本。Every LUIS app has at least one version.