Solution

Syntax understanding is one of the core challenges in NLP, as natural languages are inherently ambiguous and complex. Developing systems that can accurately parse and interpret the syntactic structure of human language is crucial for tasks such as machine translation, sentiment analysis, and information retrieval. Data replication : Not a core issue in NLP; it's more relevant to data storage. Linear regression modeling : A statistical technique not specific to NLP. Memory management : More related to computer systems and programming, not NLP. Bandwidth limitation : Concerns network performance, not language processing.