The field of natural language processing goes all the way back to the 1950s and an article called the "Turing test" that Alan Turing published about computing machinery and intelligence. Many experiments were conducted, but progress was slow for many years. For the next 30 years, the majority of NLPs that existed were based on highly complex sets of rules that were hand-written. However, the 1980s brought about a revolution for natural language processing when machine learning algorithms for language processing was introduced. Systems-based machine learning has many advantages over the handwritten rules, such as automation and efficiency. Today, this field has grown tremendously using tasks like syntax, semantics, discourse and speech to process language.
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