NLP is an AI technology that has the ability to recognize and understand natural human languages. To do so, it performs
Breaking the entire document down into its constituent sentences, e.g. full stops and commas.
Breaking down a sentence into its constituent words and storing these constituents, e.g. each word is called a “token”.
Getting rid of non-essential words to sound more cohesive, e.g. “are”, “and”, “the”.
Explaining words to the machine by extracting the stem and the suffixes, prefixes, etc. -ing, -ed.
Identifying different word base for word tenses, e.g. mood and gender.
Explaining the concept of nouns, verbs, prepositions, adjectives, and other parts of speech to the machine by adding part-of-speech tags to words, e.g. went – verb.
Introducing the machine to pop culture references and everyday names by flagging names of movies, important personalities, etc.
We tend to use NLP applications daily but have not probably paid enough attention to them. For example, there are various spell-checkers, online search, translators, and voice assistants. But how does NLP do that? How does it work? Let’s break down NLP tasks performed by NLP software.