Glossary
Translator Layer
Layer 2 of the 5-Layer Architecture - semantic deconstruction that classifies intent and tonality at 0.94 confidence.
Definition
The Translator is the second layer of the Sentient 5-Layer Architecture. It transforms raw signals from the Sensor into structured meaning. Intent is classified into five categories: transactional, informative, social, exploratory, and comparative. Tonality is detected across five dimensions: enthusiasm, skepticism, neutrality, sarcasm, and urgency. A click is not just a click - the Translator determines whether it signals accidental engagement, curiosity, or purchase intent. Cross-modal alignment ensures video, text, and audio signals converge into a unified intent profile. Sentiment flows in real time into the Logic Engine and Command Center, enabling deterministic execution on what people mean, not just what they did.
Why It Matters
The Translator turns behavior into understanding. Without it, signals are noise. With it, every interaction carries meaning.
Related Pages
Related Terms
5-Layer Architecture
The Sensor, Translator, Logic Engine, DNA, and Pattern Recognition pipeline that transforms raw signals into deterministic decisions.
Sensor Layer
Layer 1 of the 5-Layer Architecture - holistic signal capture at the protocol level, processing 2.4M+ signals per second.
Logic Engine
Layer 3 of the 5-Layer Architecture - contextual weighting that links semantic metrics into 221k+ active KPI aggregations.
Intent Recognition
Classifying strategic intent behind interactions (informative, transactional, social). A click is not just a click.
Tonality Analysis
Evaluating emotional undertone through context and semantic analysis. Distinguishing sarcasm from enthusiasm.
Computational Empathy
Technology that models human beliefs and resistances. Understanding the 'Why' behind behavior.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.