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README.md
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@@ -47,3 +47,84 @@ A real-corpus version (Wikipedia, BookCorpus, OSCAR, etc.) is available upon req
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> *You can upload your Space screenshot here later.*
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> *You can upload your Space screenshot here later.*
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---
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# 🎯 Purpose
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This interactive tool is designed for:
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- Linguistics coursework
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- Cognitive linguistics demonstrations
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- Usage-based grammar exploration
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- Research visualization
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- Educational presentations
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- Translation and pragmatic analysis
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It helps users understand how **usage frequency drives linguistic stability**, aligning with Schmid’s E&C Model.
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---
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# 🛠️ Tech Stack
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- **Python**
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- **Gradio (3.x)** — fully compatible with Spaces
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- **Matplotlib** — visual plotting
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- **NumPy** — curve generation
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- **Custom CSS** — card UI & gradient background
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---
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# 📁 File Structure
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|-- app.py # Main application
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|-- requirements.txt # Dependencies
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|-- README.md # Project description (this file)
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# 📘 Theoretical Background
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### **Entrenchment (E)**
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- Individual-level cognitive strengthening
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- Frequent expressions → more automatic
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- Steeper E-curves represent stronger entrenchment
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### **Conventionalization (C)**
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- Community-level diffusion
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- Widespread usage → social norming
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- Faster adoption → earlier sigmoid rise
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### **E&C Dynamic Loop**
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Schmid proposes that:
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> **E (individual repetition) reinforces C (social acceptance), and vice versa**,
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> forming a *self-energizing feedback loop* that stabilizes linguistic structures.
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This tool visualizes that mechanism directly.
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---
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# 📚 References
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Schmid, H.-J. (2020).
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**The Dynamics of the Linguistic System: Usage, Conventionalization, and Entrenchment.**
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Oxford University Press.
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---
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# 🚀 Future Extensions (可选待开发功能)
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- Real-corpus frequency mode (Wikipedia, CC100, OSCAR)
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- Google Ngram-based historical adoption curves
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- Collostructional analysis integration
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- Semantic embedding–based similarity comparison
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- Interactive diffusion simulation (“language evolution game”)
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If you'd like these features added, feel free to ask!
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---
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# ❤️ Acknowledgements
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This space was created to support linguistic visualization, cognitive linguistics education, and usage-based theory demonstration.
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Thanks for using this project!
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