A dialogue system architecture is the structural framework that enables machines to understand, process, and respond to human conversation. It typically includes several key components working in harmony:

  • Natural Language Processing (NLP) 🚀
    Converts spoken or written language into machine-readable data.

    Natural_Language_Processing

  • Dialogue Management 🔄
    Tracks conversation context and manages turn-taking.

    Dialogue_Management

  • Intent Recognition 🔍
    Identifies user goals or requests within the conversation.

    Intent_Recognition

  • Response Generation 📝
    Crafts appropriate replies based on context and intent.

    Response_Generation

For deeper insights into NLP techniques, visit our NLP Tutorial. Explore more about dialogue systems by checking out this guide.