Wolof Language

Research on the Wolof language, primarily focusing on its revitalization and digital preservation, is actively exploring the development of computational linguistic tools. Current efforts concentrate on building accurate spell checkers and machine translation systems, often employing techniques like dynamic programming, weighted Levenshtein distance, and sequence-to-sequence models based on recurrent neural networks and subwording. These advancements are crucial for addressing the limited resources available for this under-represented African language, thereby contributing significantly to the broader field of natural language processing and supporting Wolof language maintenance and growth.