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Introduces documentation and examples for advanced symbol-preserving translation using LLMs. Updates links to analytics guides to reflect new file locations.
### 🤖 LLM-Based Translation with Symbol Preservation
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For advanced AI-powered translation that preserves symbol-to-word associations across languages, see the **[Translation Utilities Guide](./src/utilities/translation/README.md)**.
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**Features:**
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- 🧠 **Intelligent symbol mapping**: LLMs understand grammar, not just word position
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- 🎯 **Cross-format support**: Works with Gridset, OBF/OBZ, TouchChat, and Snap
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- 🔗 **Symbol preservation**: Symbols stay attached to correct translated words
// 2. Create LLM prompt (or call your LLM API directly)
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// See: src/utilities/translation/README.md
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// 3. Apply translations with preserved symbols
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processor.processLLMTranslations(
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"board.gridset",
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llmTranslations,
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"board-spanish.gridset"
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);
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```
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See **[scripts/translation/](./scripts/translation/)** for complete working examples with Gemini, GPT-4, and other LLMs.
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### 📊 AAC Analytics & Clinical Metrics
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The library includes an optional high-performance analytics engine for evaluating AAC board sets based on the **AAC Effort Algorithm (v0.2)**.
@@ -205,7 +244,7 @@ The library includes an optional high-performance analytics engine for evaluatin
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-**Sentence Analysis**: Measure the effort required to construct common test sentences.
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-**Comparative Analysis**: Identify gaps and improvements between two pageset versions.
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For detailed documentation, see the **[AAC Metrics Guide](./src/optional/analytics/docs/AAC_METRICS_GUIDE.md)** and **[Vocabulary Analysis Guide](./src/optional/analytics/docs/VOCABULARY_ANALYSIS_GUIDE.md)**.
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For detailed documentation, see the **[AAC Metrics Guide](./src/utilities/analytics/docs/AAC_METRICS_GUIDE.md)** and **[Vocabulary Analysis Guide](./src/utilities/analytics/docs/VOCABULARY_ANALYSIS_GUIDE.md)**.
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