Atharv Gyan

Reimagining Natural Language Processing: Tracing the Journey from Rigid Rule‐Based Systems to Dynamic AI‐Driven Innovations Introduction Natural Language Processing (NLP) stands at the fascinating crossroads of computer science, linguistics, and artificial intelligence a discipline that has undergone a remarkable evolution over the past several decades. Initially conceived through the lens of rule‐based systems, NLP was once governed by a rigid structure of hand‐crafted rules and predefined patterns. These early systems, while pioneering in their own right, were limited by their inflexibility and inability to truly capture the nuances of human language. Today, however, NLP has blossomed into a vibrant field powered by dynamic, AI-driven innovations. Modern techniques based on machine learning and deep learning have redefined what computers can understand, generate, and accomplish with language. This transformation is not merely a technical upgrade but represents a profound shift in...

  Natural Language Processing (NLP)   refers to AI method of communicating with an intelligent systems using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.The field of NLP involves making computers to perform useful tasks with the natural languages humans use. The input and output of an NLP system can be Speech Written Text Components of NLP : There are two components of NLP as given − 1. Natural Language Understanding (NLU) Understanding involves the following tasks − Mapping the given input in natural language into useful representations. Analyzing different aspects of the language. 2. Natural Language Generation (NLG) It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation. It involves − Text planning ...