NLP landscape from 1960 to 2023 & how it will affect future

Natural Language Processing (NLP) has come a long way since its inception in the 1960s. In the early days, NLP focused primarily on syntactic and grammatical analysis of text. However, as technology has advanced, so too has the field of NLP. Today, NLP encompasses a wide range of techniques and applications, from sentiment analysis to machine translation to language generation. The NLP landscape of the 1960s was dominated by rule-based systems.