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--- |
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title: SinCode |
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emoji: 💻 |
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colorFrom: indigo |
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colorTo: green |
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sdk: streamlit |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: Context-Aware Transliteration |
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sdk_version: 1.53.1 |
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--- |
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# SinCode: Neuro-Symbolic Transliteration Prototype |
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> **Context-Aware Singlish-to-Sinhala Transliteration with Code-Switching Support.** |
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Welcome to the interim prototype of **SinCode**, a final-year research project designed to solve the ambiguity of transliterating "Singlish" (phonetic Sinhala) into native Sinhala script. |
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## 🚀 Key Features |
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* **🧠 Hybrid Neuro-Symbolic Engine:** Combines the speed of rule-based logic with the contextual understanding of Deep Learning (XLM-Roberta). |
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* **🔀 Adaptive Code-Switching:** Intelligently detects English words (e.g., *"Assignment"*, *"Presentation"*) mixed within Sinhala sentences and preserves them automatically. |
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* **📚 Massive Vocabulary:** Powered by an optimized dictionary of **5.9 Million** Sinhala words to ensure high-accuracy suggestions. |
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* **⚡ Contextual Disambiguation:** Resolves ambiguous terms (e.g., detecting if *"nisa"* means *because* or *near*) based on the full sentence context. |
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## 🛠️ How to Use |
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1. **Type** your Singlish sentence in the input box. |
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2. Click the **Transliterate** button. |
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3. View the **Result**. |
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4. (Optional) Expand the **"See How It Works"** section to view the real-time scoring logic used by the system. |
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## 🏗️ System Architecture |
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This prototype utilizes a **Tiered Decoding Strategy**: |
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1. **Tier 1 (English Filter):** Checks the Google-20k English Corpus to filter out technical terms. |
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2. **Tier 2 (Dictionary Lookup):** Scans the 5.9M word database for exact Sinhala matches. |
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3. **Tier 3 (Phonetic Rules):** Generates Sinhala text for unknown words using a rule-based engine. |
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4. **Tier 4 (Neural Ranking):** The **XLM-R** model scores all possible candidates to pick the most grammatically correct sequence. |
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## ⚠️ Disclaimer |
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This is an **Interim Prototype** for demonstration purposes. |
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* While accurate for common phrases, edge cases may still exist. |
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* The system is currently optimized for demonstration performance and will be fine-tuned further. |
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--- |
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**Developer:** Kalana Chandrasekara |
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**Supervisor:** Hiruni Samarage |
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*Final Year Research Project (2026)* |
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