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Trust Translator System Documentation

1. [System Overview](#system-overview) 2. [Architecture](#architecture) 3. [Trust Scoring System](#trust-scoring-system) 4. [Intent Preservation Engine](#intent-preservation-engine) 5. [Style Translation](#style-translation) 6. [Cross-Domain Translation](#cross-domain-translation) 7. [API Reference](#api-reference) 8. [Evolution History](#evolution-history)

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Trust Translator System Documentation

Version: 2.5.0-gen13
Evolution: Generation 13 (Cross-Platform Intelligence)
Last Updated: February 2025

---

Table of Contents

1. [System Overview](#system-overview)
2. [Architecture](#architecture)
3. [Trust Scoring System](#trust-scoring-system)
4. [Intent Preservation Engine](#intent-preservation-engine)
5. [Style Translation](#style-translation)
6. [Cross-Domain Translation](#cross-domain-translation)
7. [API Reference](#api-reference)
8. [Evolution History](#evolution-history)

---

System Overview

Trust Translator is a sophisticated communication transformation system that converts text between communication styles while preserving semantic intent. Built on linguistic theory (Politeness Theory, Hofstede's Cultural Dimensions, Speech Act Theory), it enables contextually appropriate communication across different relationships, platforms, and cultures.

Core Capabilities

CapabilityDescription
Style TranslationTransform casual ↔ formal, direct ↔ diplomatic
Intent PreservationMaintain semantic meaning through transformations
Trust CalibrationRelationship-aware communication recommendations
Cultural BridgingCross-cultural adaptation (Gen 10)
Platform IntelligencePlatform-specific optimization (Gen 13)
Multi-party FacilitationGroup conversation dynamics (Gen 9)
Streaming TranslationReal-time token-by-token output (Gen 11)
Translation MemoryAdaptive learning from feedback (Gen 12)

---

Architecture

┌────────────────────────────────────────────────────────────────────────────┐
│                           TRUST TRANSLATOR                                  │
├────────────────────────────────────────────────────────────────────────────┤
│                                                                            │
│   ┌──────────────────┐   ┌──────────────────┐   ┌──────────────────┐      │
│   │  STYLE ANALYZER  │   │ INTENT EXTRACTOR │   │  TRUST MANAGER   │      │
│   │   (styles.ts)    │   │   (intent.ts)    │   │   (trust.ts)     │      │
│   └────────┬─────────┘   └────────┬─────────┘   └────────┬─────────┘      │
│            │                      │                      │                 │
│            └──────────────────────┼──────────────────────┘                 │
│                                   │                                        │
│                      ┌────────────┴────────────┐                           │
│                      │   TRANSLATION ENGINE    │                           │
│                      │    (translator.ts)      │                           │
│                      └────────────┬────────────┘                           │
│                                   │                                        │
│   ┌───────────────────────────────┼───────────────────────────────┐       │
│   │                               │                               │       │
│   ▼                               ▼                               ▼       │
│ ┌──────────────┐   ┌──────────────────────┐   ┌─────────────────────┐     │
│ │ LLM Semantic │   │   Cultural Bridge    │   │Platform Intelligence│     │
│ │   (Gen 7)    │   │      (Gen 10)        │   │     (Gen 13)        │     │
│ └──────────────┘   └──────────────────────┘   └─────────────────────┘     │
│                                                                            │
│   ┌──────────────────┐   ┌──────────────────┐   ┌──────────────────┐      │
│   │ Conversation     │   │  Multi-Party     │   │    Streaming     │      │
│   │    Flow (Gen 8)  │   │  Engine (Gen 9)  │   │  Engine (Gen 11) │      │
│   └──────────────────┘   └──────────────────┘   └──────────────────┘      │
│                                                                            │
│                     ┌──────────────────────────┐                           │
│                     │  Translation Memory      │                           │
│                     │       (Gen 12)           │                           │
│                     └──────────────────────────┘                           │
│                                                                            │
└────────────────────────────────────────────────────────────────────────────┘

Module Responsibilities

ModuleFilePurpose
Styles`src/styles.ts`Communication style definitions, markers, analysis
Intent`src/intent.ts`Semantic extraction, SAO parsing, face threats
Trust`src/trust.ts`Relationship tracking, style recommendations
Translator`src/translator.ts`Core transformation engine
LLM Semantic`src/llm-semantic.ts`Deep semantic understanding via LLM
Conversation Flow`src/conversation-flow.ts`Multi-turn conversation tracking
Multi-Party`src/multiparty-engine.ts`Group dynamics, facilitation
Cultural Bridge`src/cultural-bridge.ts`Hofstede dimensions, cultural adaptation
Streaming`src/streaming-engine.ts`Token-by-token translation
Translation Memory`src/translation-memory.ts`Learning, feedback, preferences
Platform Intelligence`src/platform-intelligence.ts`Platform detection and optimization

---

Trust Scoring System

The trust system is based on established trust research (Mayer, Davis & Schoorman) and uses four primary dimensions.

Trust Dimensions

typescript
interface TrustProfile {
  competenceTrust: number;     // 0-1: Do they know what they're doing?
  benevolenceTrust: number;    // 0-1: Do they have good intentions?
  integrityTrust: number;      // 0-1: Are they honest and consistent?
  predictabilityTrust: number; // 0-1: Do they behave consistently?

  // Derived
  overallTrust: number;        // Weighted combination
  trustVelocity: number;       // Rate of change (-1 to 1)
  trustStability: number;      // Variance indicator (0-1)
}

Overall Trust Calculation

overallTrust = (competence × 0.25) + (benevolence × 0.30) +
               (integrity × 0.30) + (predictability × 0.15)

Weighting Rationale:
- Benevolence & Integrity (30
- Competence (25
- Predictability (15

Trust Change Mechanics

Trust changes follow an anchoring effect—changes are smaller at extremes:

typescript
function calculateNewTrust(current: number, impact: number): number {
  // Sensitivity decreases at extremes (0 or 1)
  const sensitivity = 1 - Math.abs(current - 0.5) * 0.5;
  const change = impact * 0.15 * sensitivity;
  return clamp(current + change, 0, 1);
}

Trust-to-Style Mapping

Overall TrustRecommended StyleRationale
≥ 0.8`casual-friend`High trust enables casual communication
0.6 - 0.8`professional-colleague`Moderate-high trust supports collegial tone
0.4 - 0.6`professional-colleague`Moderate trust suggests professional approach
0.2 - 0.4`formal-executive`Lower trust warrants formal communication
< 0.2`formal-executive`Very low trust requires careful communication

Trust Events

typescript
interface TrustEvent {
  type: 'positive' | 'negative' | 'neutral';
  dimension: 'competence' | 'benevolence' | 'integrity' | 'predictability';
  impact: number;  // -1 to 1
  description: string;
}

Example Usage:

typescript
trustManager.recordEvent('alice', {
  type: 'positive',
  dimension: 'competence',
  description: 'Delivered excellent work',
  impact: 0.5
});

---

Intent Preservation Engine

The intent extraction system identifies and preserves the semantic core of messages.

Intent Core Structure

typescript
interface IntentCore {
  primary: PrimaryIntent;      // inform, request, confirm, clarify, etc.
  secondary: PrimaryIntent[];  // Additional intents

  // Subject-Action-Object
  subject: string;             // Who/what is the focus
  action: string;              // Core verb/action
  object: string | null;       // What is acted upon
  recipient: string | null;    // Who receives

  // Context
  entities: IntentEntity[];    // Named entities extracted
  conditions: IntentCondition[]; // if/when/unless clauses
  constraints: string[];       // "by Friday", "under budget"

  // Emotional layer
  emotion: EmotionalUndercurrent;
  emotionIntensity: number;    // 0-1

  // Implicit content
  assumptions: string[];       // What's taken for granted
  implications: string[];      // What's implied
  faceThreats: FaceThreat[];   // Politeness theory

  confidence: number;
  ambiguities: string[];
}

Primary Intent Types

IntentDescriptionDetection Patterns
`inform`Sharing informationDefault for statements
`request`Asking for something"please", "could you", "can you"
`confirm`Seeking confirmation"is/are/was/were..?" questions
`clarify`Seeking clarification"what/how/why/when" questions
`persuade`Convincing"should", "must", "recommend"
`negotiate`Reaching agreement"what if", "how about", "instead"
`empathize`Showing understanding"understand", "hear you"
`apologize`Expressing regret"sorry", "apologize", "regret"
`appreciate`Showing gratitude"thank", "grateful", "appreciate"
`decline`Saying no"can't", "won't", "unable"
`critique`Providing feedback"however", "but", "issue"
`celebrate`Sharing positive news"congratulations", "excited"
`warn`Alerting to risk"warning", "danger", "careful"
`instruct`Teaching/guiding"first", "step", "here's how"
`connect`Building relationship"how are you", "catch up"

Face-Threatening Acts (Politeness Theory)

Based on Brown & Levinson's framework:

typescript
interface FaceThreat {
  type: 'positive-face' | 'negative-face';
  target: 'speaker' | 'hearer' | 'third-party';
  severity: number;  // 0-1
  description: string;
}
IntentFace ThreatSeverityDescription
`request`Negative face (hearer)0.4Imposes on autonomy
`critique`Positive face (hearer)0.6Challenges self-image
`decline`Positive face (hearer)0.5May feel like rejection
`apologize`Positive face (speaker)0.3Admits fault
CommandsNegative face (hearer)0.7Strongly imposes

---

Style Translation

Available Styles

Style IDFormalityDirectnessMin TrustUse Case
`casual-friend`casualdirect0.7Close friends
`professional-colleague`neutralbalanced0.3Workplace peers
`formal-executive`formaldiplomatic0.1C-suite, legal
`technical-peer`casualdirect0.5Developer-to-developer
`support-customer`neutraldiplomatic0.2Service interactions
`academic-formal`formalindirect0.2Research, academia
`crisis-urgent`neutralblunt0.0Emergencies

Style Dimensions

typescript
type Formality = 'casual' | 'neutral' | 'formal' | 'ceremonial';
type Directness = 'indirect' | 'diplomatic' | 'balanced' | 'direct' | 'blunt';
type Emotionality = 'reserved' | 'measured' | 'warm' | 'expressive' | 'passionate';
type Technicality = 'layperson' | 'informed' | 'practitioner' | 'expert' | 'specialist';
type PowerDynamic = 'deferential' | 'equal' | 'authoritative' | 'commanding';
type Urgency = 'leisurely' | 'normal' | 'important' | 'urgent' | 'critical';

Transformation Pipeline

1. Greeting Transformation - Adjust opening based on target style
2. Closing Transformation - Adjust sign-off appropriately
3. Formality Adjustment - Remove slang, emojis for formal; add for casual
4. Directness Adjustment - Add hedges for diplomatic; remove for direct
5. Emotional Tone - Reduce intensifiers for reserved; amplify for expressive
6. Technical Level - Simplify jargon for layperson audiences
7. Contractions - Expand for formal; contract for casual
8. Pronoun Handling - I → we/one based on target voice
9. Politeness Strategies - Add face-saving language per power dynamic
10. Sentence Structure - Split long sentences for concise styles

Quality Metrics

typescript
interface TranslationQuality {
  intentPreservation: number;  // 0-1
  styleMatch: number;          // 0-1
  naturalness: number;         // 0-1
  overall: number;             // Weighted combination
  warnings: string[];
  suggestions: string[];
}

Overall Calculation:

overall = (intentPreservation × 0.5) + (styleMatch × 0.3) + (naturalness × 0.2)

---

Cross-Domain Translation

Cross-Cultural (Gen 10)

Adapts communication across Hofstede's 6 cultural dimensions:

DimensionLow ScoreHigh ScoreImpact
Power DistanceEgalitarianHierarchicalDeference, titles
IndividualismCollectivistIndividualistWe vs I voice
MasculinityCooperativeCompetitiveTone, assertiveness
Uncertainty AvoidanceFlexibleStructuredDetail level
Long-Term OrientationTraditionalPragmaticFraming
IndulgenceRestrainedGratifyingEmotional expression

Available Cultural Profiles: `us`, `jp`, `de`, `cn`, `uk`, `br`, `in`, `mx`, `nl`, `ae`

typescript
const result = translateCrossculturally(
  "Hey John, need that report ASAP. Thanks!",
  'us',    // Source culture
  'jp',    // Target culture
  { context: 'business' }
);
// → "I was hoping for the report at your convenience, if that would be acceptable."

Cross-Platform (Gen 13)

Optimizes for platform-specific constraints and norms:

PlatformMax LengthFormality RangeEmojiMarkdown
`email`Unlimited0.4-0.9Minimal
`sms`1600.1-0.5Moderate
`slack`40,0000.2-0.7Moderate
`discord`2,0000.1-0.5Liberal
`twitter`2800.2-0.6Moderate
`linkedin`3,0000.5-0.9Minimal
`teams`28,0000.3-0.8Minimal
`document`Unlimited0.7-1.0Avoid
typescript
const result = translateBetweenPlatforms(
  message,
  'email',      // Source platform
  'slack',      // Target platform
);
// Adjusts formality, removes signoff, adds markdown if helpful

---

API Reference

Core Functions

`translate(request: TranslationRequest): TranslationResult`

Translate text to target style with intent preservation.

typescript
const result = translate({
  text: "hey can u review this by friday thx",
  targetStyle: 'formal-executive',
  preservationLevel: 'balanced'  // 'strict' | 'balanced' | 'flexible'
});

`extractIntent(text: string): IntentCore`

Extract semantic intent from text.

typescript
const intent = extractIntent("Could you please send the report by EOD?");
// intent.primary → 'request'
// intent.constraints → ['by EOD']

`analyzeStyle(text: string): StyleAnalysis`

Analyze the communication style of text.

typescript
const analysis = analyzeStyle("Dear Sir, I am writing to inquire...");
// analysis.detected.name → 'formal-executive'
// analysis.dimensions.formality.confidence → 0.9

Trust Functions

`trustManager.recordEvent(profileId, event)`

Record a trust-affecting event.

typescript
trustManager.recordEvent('alice', {
  type: 'positive',
  dimension: 'competence',
  description: 'Delivered excellent work',
  impact: 0.5
});

`trustManager.recommendStyle(profileId, context)`

Get style recommendation based on trust level.

typescript
const rec = trustManager.recommendStyle('alice', {
  topic: 'sensitive',
  relationship: 'peer'
});
// rec.style.name → 'professional-colleague'
// rec.confidence → 0.75
// rec.warnings → []

`calibrateRelationship(currentTrust, desiredStyle)`

Check if trust supports a desired style.

typescript
const cal = calibrateRelationship(0.4, 'casual-friend');
// cal.trustGap → 0.3 (need more trust)
// cal.suggestions → ['Focus on reliability...']

Cross-Domain Functions

`translateCrossculturally(text, from, to, options)`

Translate between cultural contexts.

typescript
const result = translateCrossculturally(
  "Get this done now.",
  'us', 'jp',
  { context: 'business' }
);

`translateBetweenPlatforms(text, from, to, context)`

Translate between platform contexts.

typescript
const result = translateBetweenPlatforms(
  "Dear John, I hope this email finds you well...",
  'email', 'slack'
);

`optimizeForPlatform(message, platform, context)`

Optimize a message for a specific platform.

typescript
const result = optimizeForPlatform(
  longMessage,
  'twitter',
  { urgencyLevel: 'high' }
);

Streaming Functions

`streamingTranslate(text, style, onToken)`

Stream translation token by token.

typescript
await streamingTranslate(
  "hey can u send that",
  "formal-executive",
  (token, cumulative) => process.stdout.write(token)
);

Multi-Party Functions

`createMultiPartyConversation(id, config)`

Track group conversation dynamics.

typescript
const engine = createMultiPartyConversation('meeting-1', {
  coalitionThreshold: 0.6,
  tensionThreshold: 0.7
});

engine.addParticipant('alice', 'Alice');
engine.addTurn('alice', "I propose we use React.");

const state = engine.getState();
// state.groupDynamics.polarization → 0.2

---

Evolution History

GenFeatureStatus
6Core styles, intent extraction, translator, trust calibration✅ Complete
7LLM-powered semantic understanding✅ Complete
8Conversation flow engine✅ Complete
9Multi-party conversation optimization✅ Complete
10Cross-cultural communication bridges✅ Complete
11Streaming translation engine✅ Complete
12Translation memory & adaptive learning✅ Complete
13Cross-platform intelligence✅ Current
14Voice/audio translation pipeline🔮 Planned
15Multi-modal communication🔮 Planned
16Meeting summarization & action items🔮 Planned

---

Theoretical Foundations

Politeness Theory (Brown & Levinson, 1987)

  • Positive Face: Desire to be liked and approved
  • Negative Face: Desire for autonomy and freedom from imposition
  • Face-Threatening Acts (FTAs) require mitigation strategies

Hofstede's Cultural Dimensions

Six dimensions measuring cultural differences that affect communication:
power distance, individualism, masculinity, uncertainty avoidance, long-term orientation, indulgence.

Speech Act Theory (Austin, Searle)

Messages perform actions (illocutionary force):
- Assertives: Stating facts
- Directives: Getting someone to do something
- Commissives: Committing to future action
- Expressives: Expressing psychological states
- Declarations: Bringing about changes

Trust Research (Mayer, Davis & Schoorman)

Three dimensions of interpersonal trust:
- Ability (competence)
- Benevolence
- Integrity

Extended with Predictability for communication contexts.

---

File Structure

trust-translator/
├── src/
│   ├── styles.ts              # Style definitions & analysis
│   ├── intent.ts              # Intent extraction & preservation
│   ├── translator.ts          # Core translation engine
│   ├── trust.ts               # Trust tracking & recommendations
│   ├── llm-semantic.ts        # LLM-powered understanding (Gen 7)
│   ├── conversation-flow.ts   # Conversation tracking (Gen 8)
│   ├── multiparty-engine.ts   # Multi-party optimization (Gen 9)
│   ├── cultural-bridge.ts     # Cross-cultural bridges (Gen 10)
│   ├── streaming-engine.ts    # Streaming translation (Gen 11)
│   ├── translation-memory.ts  # Memory & learning (Gen 12)
│   ├── platform-intelligence.ts # Platform optimization (Gen 13)
│   └── index.ts               # Main exports
├── demo.ts                    # Basic demo
├── demo-*.ts                  # Feature-specific demos
├── cli.ts                     # Command-line interface
├── package.json
└── README.md

---

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Source Anchor

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Method · Evaluation · References · Code Anchors · Architecture