Advanced Techniques in Natural Language Processing (NLP)

Abstract

Natural Language Processing (NLP) has evolved dramatically over the past few decades, primarily driven by advancements in machine learning, deep learning, and large-scale data processing. This review article explores the advanced techniques and methodologies that have emerged in NLP, with a focus on their practical applications and ongoing challenges. We examine developments in syntactic analysis, semantic understanding, machine translation, and text generation, as well as the role of neural networks in enhancing NLP systems.