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KoralyxAI

Publications & Research

KoralyxAI publishes research across linguistics, AI, social sciences, and insurance analytics. We release datasets, code, and models to advance open science.

Research in Preparation

Artificial Intelligence and the Future of Social Science Research in the Democratic Republic of Congo: Opportunities, Challenges, and a Collaborative Framework for Indigenous Language Resources

Status: In preparation

Target Venue: Revue Africaine des Sciences Sociales et Humaines (RASSH)

Focus: Introducing KoralyxAI's research vision and methods to the African social science community. This paper outlines our interdisciplinary approach combining AI with anthropology, sociology, and linguistics.

Planned Research Topics

• AI and African languages

• AI for social sciences in Central Africa

• Ethical AI data collection in Africa

• AI adoption in African insurance

• Predictive analytics for insurance

• AI and indigenous language preservation

• Code-switching in Congolese languages

• Low-resource NLP methods

• Speech AI for African languages

• Human-AI collaboration in African organizations

Datasets

We are building datasets for African languages and will release them with proper documentation, licensing, and ethical oversight. Coming soon on Hugging Face and Zenodo.

Lingala Corpus

Text and speech data for Lingala language

Status: Coming soon

Kikongo Speech Recognition Dataset

Transcribed speech recordings for ASR training

Status: Coming soon

Social Science Interview Archives

Anonymized qualitative research data with community consent

Status: In development

Code & Models

Research code and trained models will be released on GitHub and Hugging Face with open licenses.

GitHub: coming soon

Hugging Face: coming soon

Open Science Commitment

All KoralyxAI research follows open science principles. We publish in open access venues, release data and code, and provide reproducible documentation. We also maintain strict ethical standards around data consent, privacy, and community benefit.