Description
Neural Network Methods for Natural Language Processing provides a focused introduction to the application of neural network techniques in natural language processing (NLP). The book explains how distributed representations, word embeddings, recurrent and recursive neural networks, attention mechanisms, and sequence modeling have transformed the way computers process and understand human language. Emphasizing the underlying concepts rather than specific software frameworks, it connects theoretical foundations with practical NLP tasks, offering readers a clear understanding of how neural architectures are applied to language analysis and generation. It is a valuable resource for students, researchers, and practitioners seeking a solid foundation in neural approaches to natural language processing.
