Asymmetries in Mutual Intelligibility: An Information-Theoretic Approach
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) via YouTube
Master Agentic AI, GANs, Fine-Tuning & LLM Apps
Google AI Professional Certificate - Learn AI Skills That Get You Hired
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Watch a 34-minute master thesis defense presentation exploring the fascinating phenomenon of asymmetric mutual intelligibility between languages through an information theory lens, delivered at the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). Discover how mathematical and computational approaches can help explain why speakers of one language may better understand a related language than vice versa, drawing on concepts from information theory to quantify and analyze these linguistic asymmetries.
Syllabus
Master Thesis - Asymmetries in mutual intelligibility: An information-theoretic approach
Taught by
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)