Computational linguistics integrates linguistic theory, machine learning, and computer science to enable language processing in AI systems. However, one of the biggest ...
Computational linguistics integrates linguistic theory, machine learning, and computer science to enable language processing in AI systems. However, one of the biggest challenges lies in modeling the deep complexity and subtle nuances of human language, including context, pragmatics, and implicit meaning. While current AI models excel at recognizing statistical patterns in large datasets, they often struggle to achieve genuine language understanding. Interdisciplinary approaches that combine insights from linguistics, cognitive science, and artificial intelligence are essential for addressing these limitations and advancing more robust and human-like language models.