通过单个 API 调用添加自然语言功能
Industry leading language capabilities that enable you to build conversational interfaces into application, identify key terms and phrases, understand sentiments, and many others. Annotate, train, evaluate, and deploy customizable models in Language Studio without machine learning expertise.
Text analytics for health uses natural language processing to find and label information in unstructured clinical documents.
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价格仅是估算值，不应用作实际报价单。实际定价可能因与 Microsoft 签订的协议类型、购买日期和货币汇率而异。价格基于美元计算，并使用在上一个月末最后一个工作日之前的两个工作日内捕获的伦敦收盘即期汇率进行转换。如果本月底之前的两个工作日在主要市场中属于银行假日，则汇率确定日通常是紧接在此两个工作日之后的一天。此汇率适用于下个月的所有交易。登录到 Azure 定价计算器查看基于你与 Microsoft 的当前计划/产品/服务的定价。有关定价或请求报价的详细信息，请联系 Azure 销售专家。请参阅经常询问有关 Azure 定价的问题。
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
美国政府实体有资格从授权解决方案提供商处购买 Azure 政府服务（无需预付定金），或者可直接通过即用即付在线订阅购买。
重要提示 - 该价格 (R$) 只是一个参考；这是一项国际交易，最终价格受汇率和所含 IOF 税的影响。不会发布 eNF。
Language service can be purchased in tiers.
Text Records correspond to the number of 1,000-character units.
- Summarization features count the combined length of input document and corresponding output summary as text records. Other Language features count the length of input document.
- Summarization, sentiment analysis, key phrase extraction, language detection, question answering, named entity recognition, and conversational language understanding all share 5,000 free text records per month.
- Please contact sales for pricing of over 10 million text records.
- Some features such as question answering require dependent resources. When you choose question answering, an Azure AI Search resources will also be deployed in your subscription.
| 实例 | 功能 | 推理 Per 1,000 text records |
|---|---|---|
| 免费 - 网站 |
Sentiment analysis (available in containers) Key phrase extraction (available in containers) Language detection (available in containers) Custom question answering1 Prebuilt question answering Named entity recognition (available in containers) PII detection (available in containers) Summarization (all types) |
5,000 text records free2 per month |
| Conversational language understanding Orchestration workflow |
||
|
Custom text classification
Custom named entity recognition2 |
||
| Standard (S) - Web |
Sentiment analysis (available in containers) Key phrase extraction (available in containers) Language detection (available in containers) Named entity recognition (available in containers) PII detection (available in containers) |
0.0M-0.50M - $- 0.5M-2.50M - $- 2.5M-10M - $- 10M+ - $- |
|
Conversational language understanding Orchestration workflow |
$- | |
|
Custom text classification
Custom named entity recognition (available in containers) |
$- | |
| Text analytics for health (available in containers) | 0M-0M - 包含 0.005M-0.50M - $- 0.5M-2.50M - $- 2.5M-10M - $- 10M+3 - $- | |
|
Custom question answering4
Prebuilt question answering |
0-2.5M - $- 2.5M+ - $- | |
| Summarization (all types) | $- |
训练和模型终结点托管
| 实例 | 功能 | 训练和模型终结点托管 |
|---|---|---|
| 免费 - 网站 | Conversational language understanding Orchestration workflow |
Standard training: free
Advanced training: up to 1 hour free Model endpoint hosting: free |
|
Custom text classification
Custom named entity recognition2 |
Training: up to 1 hour free
Model endpoint hosting: up to 1 model free |
|
| Standard (S) - Web | Conversational language understanding |
Standard training: free
Advanced training: $- per hour Endpoint hosting: free |
|
Custom text classification
Custom named entity recognition |
Training: $- per hour
Endpoint hosting: $- per model per month |
Commitment Tiers
| 实例 | 功能 | 价格（每月） | 超额 |
|---|---|---|---|
| Azure – standard | Sentiment analysis (and opinion mining) Key phrase extraction Language detection Named entity recognition PII detection |
$- per 1M text records $- per 3M text records $- per 10M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Azure – standard | Summarization | $- per 3M text records | $- per 1,000 text records |
| $- per 10M text records | $- per 1,000 text records | ||
| Azure – standard | Conversational language understanding |
$- per 1M text records $- per 3M text records $- per 10M text records $- per 25M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Connected container – standard | Sentiment analysis (and opinion mining) Key phrase extraction Language detection Named entity recognition PII detection |
$- per 1M text records $- per 3M text records $- per 10M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
| Connected container – standard | Summarization | $- per 3M text records | $- per 1,000 text records |
| $- per 10M text records | $- per 1,000 text records | ||
| Connected container – standard | Conversational language understanding |
$- per 1M text records $- per 3M text records $- per 10M text records $- per 25M text records |
$- per 1,000 text records $- per 1,000 text records $- per 1,000 text records $- per 1,000 text records |
Disconnected containers
| 功能 | Price per year | Max usage per year | Projected usage per month |
|---|---|---|---|
| Sentiment analysis (and opinion mining), Key phrase extraction, Language detection, Named entity recognition, PII detection | $- | 120M text records | 10M text records |
| $- | 36M text records | 3M text records | |
| Summarization | $- | 120M text records | 10M text records |
| $- | 36M text records | 3M text records | |
| Conversational language understanding | $- | 3M text records | |
| $- | 10M text records |
Azure 定价和购买选项
其他资源
Azure AI 语言
详细了解 Azure AI 语言 特性和功能。
定价计算器
估计每月使用任何 Azure 产品组合应产生的费用。
文档
查看技术教程、视频和更多 Azure AI 语言 资源。
常见问题解答
-
In the S tier, the service is billed for only the amount of Text Records submitted to the service.
-
A text record in the S tier contains up to 1,000 characters as measured by StringInfo.LengthInTextElements. If an input document into the Language API is more than 1,000 characters, it counts as one text record for each unit of 1,000 characters. For instance, if an input document sent to the API contains 7,500 characters, it would count as 8 text records. If an input document sent to the API contains 500 characters, it would count as 1 text record. If two documents are submitted, one document of 500 characters and one document of 1,200 characters, then the service would be billed for three text records in total: one record for the 500 character document and two text records for the 1,200 character document. You can check your text records usage in your Text Analytics resource in Azure portal under Monitoring > Metrics > Processed Text Records.
-
Usage is throttled if the transaction limit is reached on the Free tier. Customers cannot accrue overages on the free tier.
-
Let’s say an API call performs both sentiment analysis and key-phrase extraction on 1,000 documents, that will count for 2,000 transactions (2 × 1,000 documents). The maximum size of a single document is 5,120 characters as measured by StringInfo.LengthInTextElements. If a document has more than 5,120 chars then we do not process that specific document and show invalid document as the error. If a request has multiple documents, then we process all documents which are less than 5,120 characters. S0-S4 tiers have been deprecated. Guide on how to migrate.
-
Standard pricing (S instance) is text records-based pricing and enables you to use the latest capabilities of Text analytics. It is more cost-effective vs using transactions-based pricing. S0-S4 pricing tiers are now deprecated and you are encouraged to switch to S tier. Guide on how to migrate
-
Orchestration workflow only charges you for requests to the Orchestration endpoint. If the orchestration workflow project routes your request to another conversational language understanding, custom question answering, or LUIS project, you are not additionally charged for the call to that service.
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