Architectural Design Document

Overview

Mexico asks US state attorneys general – This document outlines the design for a comprehensive article rewrite system that transforms source content into unique, well-formatted HTML while preserving factual accuracy and meeting all specified requirements.

System Architecture

1. Input Processing Module

– URL Extraction: Parse and validate source URLs – Content Ingestion: Load original article text, title, and metadata – Language Detection: Identify source language for preservation decisions

2. Content Analysis Engine

– Fact Extraction: Identify and catalog all factual elements: – Names (people, organizations, locations) – Dates and time periods – Numerical data (counts, statistics) – Direct quotes – Causal relationships – Sentence Structure Mapping: Analyze grammatical patterns for transformation opportunities

3. Rewrite Transformation Pipeline

– Semantic Preservation Layer: Ensure meaning remains intact while changing expression – Structural Reordering Module: – Paragraph sequence modification – Information hierarchy adjustment – Chronological vs. thematic organization options – Lexical Variation Engine: – Synonym substitution (context-aware) – Voice conversion (active/passive) – Clause restructuring – Phrase reordering

4. Length Expansion Strategy

– Contextual Elaboration: Add relevant background information – Logical Connections: Strengthen relationships between facts – Thematic Development: Expand on implications and significance – Verification: Ensure all additions are factually supported

5. HTML Formatting Module

– Tag Generation: Create proper semantic HTML structure – Quote Handling: Wrap direct quotes in `

` elements – Heading Hierarchy: Implement `

` and `

` appropriately – Validation: Ensure well-formed HTML output

6. Quality Assurance System

– Consecutive Word Check: Verify no 8+ word verbatim copies – Fact Verification: Cross-reference all extracted facts – Length Validation: Confirm minimum word count requirements – HTML Validation: Ensure proper tag nesting and closure

Component Diagram

┌─────────────────────────────────────────────────────────────────┐ │ INPUT PROCESSING │ │ ┌─────────────┐ ┌──────────────┐ ┌──────────────────────┐ │ │ │ URL Parser │ │ Content Loader│ │ Language Detector │ │ │ └─────────────┘ └──────────────┘ └──────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ CONTENT ANALYSIS │ │ ┌─────────────────────┐ ┌──────────────────────────────────┐ │ │ │ Fact Extraction │ │ Sentence Structure Mapping │ │ │ │ (names, dates, │ │ (grammatical patterns) │ │ │ │ numbers, quotes) │ └──────────────────────────────────┘ │ │ └─────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ REWRITE TRANSFORMATION │ │ ┌──────────────────┐ ┌──────────────────┐ ┌───────────────┐ │ │ │Semantic │ │Structural │ │Lexical │ │ │ │Preservation │ │Reordering │ │Variation │ │ │ └──────────────────┘ └──────────────────┘ └───────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ LENGTH EXPANSION │ │ ┌──────────────────┐ ┌──────────────────┐ ┌───────────────┐ │ │ │Contextual │ │Logical │ │Thematic │ │ │ │Elaboration │ │Connections │ │Development │ │ │ └──────────────────┘ └──────────────────┘ └───────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ HTML FORMATTING │ │ ┌──────────────────┐ ┌──────────────────┐ ┌───────────────┐ │ │ │Tag Generation │ │Quote Handling │ │Heading │ │ │ │(semantic HTML) │ │(<blockquote>) │ │Hierarchy │ │ │ └──────────────────┘ └──────────────────┘ └───────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ QUALITY ASSURANCE │ │ ┌──────────────────┐ ┌──────────────────┐ ┌───────────────┐ │ │ │Consecutive Word │ │Fact Verification │ │Length │ │ │ │Check │ │(cross-reference) │ │Validation │ │ │ └──────────────────┘ └──────────────────┘ └───────────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ FINAL OUTPUT │ │ Clean HTML Document │ └─────────────────────────────────────────────────────────────────┘

Implementation Notes

1. Modular Design: Each component can be independently tested and updated 2. Scalability: Architecture supports batch processing of multiple articles 3. Extensibility: New formatting options and language pairs can be added 4. Error Handling: Each module includes validation and fallback mechanisms

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Architectural Decisions

1. Pipeline Architecture: Chosen for linear processing flow with clear input/output contracts 2. Separation of Concerns: Fact extraction, transformation, and formatting are decoupled 3. Validation at Each Stage: Ensures quality throughout the pipeline, not just at the end 4. Configurable Rules Engine: Allows customization of constraints (word count, consecutive words, etc.)

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Data Flow Summary

1. Ingest → Source article and metadata 2. Analyze → Extract facts and structure 3. Transform → Rewrite with structural and lexical changes 4. Expand → Add context if needed for length requirements 5. Format → Apply HTML structure and quotes 6. Validate → Check all constraints 7. Output → Generate final HTML document

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This architecture ensures consistent, high-quality article rewrites that meet all specified requirements while maintaining factual integrity and producing clean, semantic HTML output.