Logo Lanfrica

Jeffson018/haitian-creole-ai-projects

Domain:

natural language processing

Record type:

project
Creator:
Jef
Host:
The global NLP and AI translation is valued in tens of billions. Yet Haitian Creole spoken by over 12 million people remains of the most under-resourced languages in every major AI system. As an experienced Haitian Creole interpreter and translator with an interest in AI, I am documenting my Haitian Creole AI projects. # haitian-creole-ai-projects # Hi, I'm Jeffson St-Hilaire 🇭🇹 Haitian Creole Interpreter | Language Professional | AI Language Technology Builder I am building the future of Haitian Creole language technology by combining professional interpretation expertise with Artificial Intelligence. --- ## Mission Haitian Creole is one of the most widely spoken Caribbean languages — yet it remains underrepresented in AI systems. My mission is to: - Improve Haitian Creole translation quality - Build AI-powered language tools - Create medical and professional terminology systems - Bridge the gap between under-resourced languages and emerging technologies --- ## What I'm Working On 🔹 AI-assisted Haitian Creole medical glossary tools 🔹 Translation quality evaluation experiments 🔹 NLP projects for under-resourced languages 🔹 Python-based language automation tools 🔹 Exploring fine-tuning and domain-specific translation models --- ## Tech Stack - Python - Hugging Face - OpenAI / Claude APIs - NLP fundamentals - Flask (for lightweight language apps) - JSON-based terminology databases Currently learning: - Model fine-tuning - Prompt engineering for translation systems - Speech-to-text & text-to-speech integration - Evaluation benchmarking for Creole translation quality --- ## Areas of Interest - Natural Language Processing (NLP) - AI for under-resourced languages - Medical translation systems - Ethical AI in interpretation - Language data engineering - Terminology consistency automation --- ## Why This Matters In healthcare, legal systems, and emergency settings, translation errors can have serious consequences. I believe small languages deserve: - High-quality AI tools - Reliable domain-specific systems - Cultural and linguistic accuracy This GitHub documents my journey building those tools publicly. --- ## Current Focus Building small, practical projects that: - Solve real interpreter problems - Improve terminology access - Demonstrate AI capabilities in …