# Technical Document Extraction: Translation Prompt Analysis ## Image Description The image contains two side-by-side text-based prompts for translation tasks, labeled "GPT-4 Prompt" and "ALMA Prompt". Both prompts use structured formatting with placeholders for language variables and source text. --- ### GPT-4 Prompt Section **Header**: `GPT-4 Prompt` (bold, centered) **System Instruction**: `System:` `You are a helpful translator and only output the result.` **User Instruction**: `User:` `### Translate this from <source language> to <target language>, <source language>: <source sentence> ### <target language>:` **Formatting Notes**: - Placeholders enclosed in angle brackets (`< >`) - Triple hash (`###`) used for section headers - Clear separation between system/user roles and instructions - Placeholder for `<source sentence>` indicates variable input --- ### ALMA Prompt Section **Header**: `ALMA Prompt` (bold, centered) **Instruction**: `Translate this from <source language> to <target language>: <source language>: <source sentence> <target language>:` **Formatting Notes**: - Simplified structure compared to GPT-4 - Direct translation instruction without role separation - Placeholders follow similar syntax (`< >`) - No explicit system/user role definitions --- ### Comparative Analysis | Feature | GPT-4 Prompt | ALMA Prompt | |------------------------|---------------------------------------|--------------------------------------| | Role Definition | Explicit system/user separation | No role separation | | Placeholder Density | 4 placeholders | 3 placeholders | | Instruction Complexity | Multi-step with formatting markers | Single-step direct instruction | | Visual Separation | Dashed line between prompts | No separation | --- ### Key Observations 1. **Placeholder Consistency**: Both prompts use identical placeholder syntax (`<source language>`, `<target language>`) 2. **Instructional Approach**: GPT-4 emphasizes role-based interaction while ALMA focuses on direct translation 3. **Formatting Differences**: GPT-4 uses markdown-style headers (`###`) while ALMA employs plain text 4. **Output Constraints**: GPT-4 explicitly states "only output the result" while ALMA implies this through structure --- ### Language Analysis - **Primary Language**: English (100% of content) - **Placeholder Syntax**: Angle bracket notation (`< >`) used consistently - **Special Characters**: - Triple hash (`###`) for section headers in GPT-4 - Angle brackets (`< >`) for variable placeholders - Dash (`-`) for separation in GPT-4 --- ### Structural Integrity All textual components have been extracted with spatial grounding: - GPT-4 section occupies top half - ALMA section occupies bottom half - Dashed line (`---`) serves as visual separator - Placeholders maintain consistent positioning across both prompts --- ### Conclusion The image presents two distinct translation prompt templates with different structural approaches. GPT-4 emphasizes role-based interaction with explicit formatting markers, while ALMA provides a minimalist direct instruction format. Both maintain consistent placeholder syntax for language variables.