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Overview of Research

Research at the Center for Low-Resource Languages & Cultures (CLRLC) is open to anyone interested in low-resource and multilingual language technologies, including students, researchers, practitioners, and community members. Our research ecosystem is built around collaboration, learning, and shared purpose rather than rigid roles or institutional boundaries.

CLRLC supports open and accessible research that addresses real challenges faced by underrepresented languages and cultures in artificial intelligence. While we produce academic and technical outputs, our primary goal is to build capacity, strengthen expertise, and create meaningful impact for both researchers and language communities.

We do not impose predefined career tracks. Instead, CLRLC offers a flexible research environment where contributors can explore ideas, develop skills, collaborate across disciplines, and build research profiles at their own pace. We value curiosity, creativity, and responsibility, and we encourage contributors to shape research directions that align with their interests and the needs of the communities involved.

Through mentorship, workshops, and collaborative projects, CLRLC fosters a research culture that is inclusive, ethical, and globally connected, advancing multilingual and low-resource AI while supporting the growth of emerging and established researchers alike.

Research Areas

Speech Technology
Tools and models for processing and understanding speech in low-resource languages.
Natural Language Processing (NLP)
Models and resources for translation, text analysis, and information extraction.
Machine Learning
Algorithms for language-specific and culture-specific AI tasks.

Publications & Papers

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No publications currently listed.