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> Azure Language Service is part of Azure AI, is cloud-based service that provides a suite of Natural Language Processing (NLP) features for understanding and analyzing text. It helps build intelligent applications using the web-based Language Studio, REST APIs, and client libraries, offering a comprehensive suite of AI services and tools for developers to build intelligent natural language solutions. <br/>
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> It leverages state-of-the-art language models, including Z-Code++ and fine-tuned GPT models.
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## Wiki
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## References
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-[What’s new in Azure AI Language | BUILD 2024](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/what-s-new-in-azure-ai-language-build-2024/ba-p/4147399)
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-[What's new in Azure AI Language?](https://learn.microsoft.com/en-us/azure/ai-services/language-service/whats-new?tabs=csharp)
|`Academic`| Provides academic knowledge and research data, enabling access to scholarly articles and academic resources. |
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|`AnomalyDetector`| Detects anomalies in time-series data using machine learning algorithms, helping to identify unusual patterns and trends. |
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|`Bing.Autosuggest`| Provides autocomplete suggestions for search queries, enhancing user experience by predicting search terms. |
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|`Bing.Autosuggest.v7`| Updated version of Bing Autosuggest with improved algorithms and features for better search term predictions. |
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|`Bing.CustomSearch`| Customizable search engine that allows developers to tailor search results to specific needs and preferences. |
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|`Bing.Search`| General web search capabilities, providing comprehensive search results from the web. |
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|`Bing.Search.v7`| Updated version of Bing Search with enhanced search algorithms and features for more accurate search results. |
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|`Bing.Speech`| Converts speech to text and vice versa, enabling voice recognition and text-to-speech functionalities. |
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|`Bing.SpellCheck`| Checks and corrects spelling in text, improving the accuracy of written content. |
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|`Bing.SpellCheck.v7`| Updated version of Bing SpellCheck with enhanced spelling correction algorithms. |
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|`CognitiveServices`| A suite of AI services for vision, speech, language, and decision-making, providing pre-built and customizable models. |
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|`ComputerVision`| Analyzes visual content to extract information, such as object detection, image classification, and OCR. |
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|`ContentModerator`| Moderates text, image, and video content to detect and filter inappropriate or harmful content. |
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|`ContentSafety`| Ensures content safety by detecting harmful content in text, images, and videos, helping to maintain a safe environment. |
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|`CustomSpeech`| Customizable speech recognition models that can be tailored to specific vocabularies and environments. |
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|`CustomVision.Prediction`| Customizable image classification models for prediction, allowing developers to create and deploy custom vision models. |
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|`CustomVision.Training`| Customizable image classification models for training, enabling the creation of custom vision models with specific datasets. |
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|`Emotion`| Detects emotions in images, providing insights into the emotional state of individuals based on facial expressions. |
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|`Face`| Detects and recognizes faces in images, offering features like face verification, identification, and analysis. |
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|`FormRecognizer`| Extracts information from forms and documents using AI, automating data entry and document processing tasks. |
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|`ImmersiveReader`| Helps users read and comprehend text by providing tools for text-to-speech, translation, and text highlighting. |
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|`LUIS`| Language Understanding Intelligent Service for natural language processing, enabling the creation of conversational AI applications. |
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|`LUIS.Authoring`| Tools for authoring LUIS models, allowing developers to create and manage language understanding models. |
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|`MetricsAdvisor`| Monitors metrics and diagnoses issues using AI, helping to identify and resolve performance problems. |
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|`OpenAI`| Provides access to OpenAI's language models for various tasks, such as content generation, summarization, and natural language understanding. |
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|`Personalizer`| Delivers personalized experiences for users by using reinforcement learning to make real-time decisions. |
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|`QnAMaker`| Creates a question-and-answer layer over your data, enabling the creation of conversational bots and knowledge bases. |
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|`Recommendations`| Provides product recommendations based on user behavior and preferences, enhancing the user experience. |
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|`SpeakerRecognition`| Identifies and verifies speakers based on their voice, offering features like speaker identification and verification. |
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|`Speech`| Converts speech to text and vice versa, enabling voice recognition and text-to-speech functionalities. |
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|`SpeechServices`| Comprehensive suite of speech services including recognition, synthesis, and translation, providing end-to-end speech solutions. |
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|`SpeechTranslation`| Translates spoken language in real-time, enabling cross-language communication through speech translation. |
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|`TextAnalytics`| Analyzes text for sentiment, key phrases, entities, and language, providing insights into textual data. |
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|`TextTranslation`| Translates text between languages, enabling multilingual communication and content localization. |
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|`WebLM`| Provides language models for web-based applications, enhancing natural language processing capabilities for web services. |
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