Implement Natural Language Processing Solutions¶

Overview¶

This domain covers text analysis, speech processing, language translation, language understanding, and question answering solutions. It represents 30-35% of the exam and is the largest domain, focusing on extracting meaning from text and speech.

Key Topics¶

Text Analysis with Azure AI Language¶

• Key phrase extraction from text
• Named entity extraction (people, places, organizations)
• Sentiment analysis and opinion mining
• Language detection
• Personally identifiable information (PII) detection
• Text summarization
• Text classification

Speech Processing with Azure AI Speech¶

• Text-to-speech (TTS) implementation
• Speech-to-text (STT) implementation
• Speech Synthesis Markup Language (SSML)
• Custom speech model implementation
• Intent recognition from speech
• Real-time speech translation
• Pronunciation assessment

Language Translation¶

• Text and document translation with Translator service
• Custom translation model implementation
• Speech-to-speech translation
• Speech-to-text translation
• Text-to-speech translation
• Document translation with formatting preservation

Language Understanding Model¶

• Intent creation and utterance examples
• Entity creation (prebuilt, learned, list)
• Model training, testing, and publishing
• Language Understanding model optimization
• Consuming Language model from client apps
• Model backup and recovery
• Batch testing

Question Answering Solution¶

• Knowledge base creation
• Source import to knowledge base (URLs, files)
• Knowledge base editing and curation
• Training and testing knowledge base
• Publishing knowledge base
• Multi-turn conversation implementation
• Alternate phrasing for questions
• Chit-chat personality addition
• Knowledge base export
• Multi-language question answering

Services Reference¶

Core Services¶

• Azure AI Language (formerly Text Analytics)
• Azure AI Speech
• Azure AI Translator
• Azure AI Language Understanding (LUIS)
• Azure AI Question Answering (QnA Maker)
• Azure AI Conversational Language Understanding (CLU)

Supporting Services¶

• Azure Bot Service
• Azure Functions
• Azure Storage (for training data)
• Application Insights (for monitoring)
• Azure OpenAI Service

Best Practices¶

Text Analysis¶

• Send text in appropriate language when possible
• Use batch operations for multiple documents
• Handle multiple languages in content
• Implement PII detection before storing sensitive data
• Monitor confidence scores and act on low scores
• Cache results for repeated analysis

Speech Services¶

• Choose appropriate audio quality for scenarios
• Use SSML for natural-sounding speech
• Implement custom models for domain terminology
• Handle background noise in speech recognition
• Use pronunciation assessment for language learning
• Optimize latency for real-time scenarios

Language Translation¶

• Detect language before translation when needed
• Use custom translators for domain-specific terminology
• Preserve formatting in document translation
• Handle untranslatable content appropriately
• Implement profanity filtering when needed
• Cache common translations

Language Understanding¶

• Provide diverse example utterances
• Use prebuilt entities when available
• Create composite entities for complex extraction
• Balance utterances across intents
• Implement active learning with suggestions
• Version models and test before production

Question Answering¶

• Structure knowledge base logically
• Include variations of questions
• Use multi-turn for guided conversations
• Regularly update based on user feedback
• Test with real user questions
• Implement fallback responses

Common Scenarios¶

Text Analysis Applications¶

• Customer feedback sentiment analysis
• Document classification and routing
• PII detection and redaction
• Key topic extraction from documents
• Multi-language content detection
• Contract entity extraction

Speech Applications¶

• Voice-enabled virtual assistants
• Meeting transcription services
• Voice commands for applications
• Accessibility features for visually impaired
• Language learning with pronunciation assessment
• Call center speech analytics

Translation Use Cases¶

• Multi-language customer support
• Real-time conversation translation
• Document localization
• Multi-language chatbots
• Subtitle generation for videos
• Email translation for global teams

Conversational AI¶

• Customer service chatbot
• FAQ automation bot
• Virtual assistant for scheduling
• Technical support bot
• Order tracking bot
• HR policy information bot

Language Understanding Integration¶

• Smart home voice control
• Calendar and email intent handling
• Restaurant booking from natural language
• Travel booking assistant
• IoT device command processing

Study Tips¶

• Practice using Language service for text analysis
• Understand sentiment analysis scores and interpretation
• Hands-on experience with Speech Studio
• Learn SSML tags for speech customization
• Practice creating and training LUIS apps
• Understand intent and entity design patterns
• Study question answering knowledge base creation
• Learn multi-turn conversation design
• Practice speech translation scenarios
• Understand when to use custom vs prebuilt models