armin-pousti/Language-Transfer-in-Named-Entity-Recognition

This project evaluates five NER models, from statistical to neural, across seven languages, including English and Swahili. It explores baseline performance on monolingual datasets and Few-Shot Learning to study transfer learning from high-resource to low-resource languages, offering insights into model effectiveness in diverse linguistic contexts. ##### Natural Language Processing Final Project ## Unified Multilingual NER