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