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Practical examples of Natural Language Processing
If you have just learned about Natural Language Processing(NLP) or are thinking about why it is useful, you are the right place. The emergence of NLP came with the Turing test in the 1950s as an unprecedented criterion of artificial intelligence and is considered as an amalgamation of artificial intelligence, linguistics and computer science. Understanding natural language is the focal point of NLP and the center of many revolutionary technologies i.e. translation and question answering. NLP has been a challenge for computer scientists and has numerous interdisciplinary applications. While there are many important subtasks of NLP that contribute to solving bigger and more mainstream tasks, in this article we will talk about conventional ideas with some practical examples. For better understanding, we divide our NLP fields into four main categories namely Syntax, Semantics, Speech and Discourse.
Syntax
Syntax in natural language helps us with the rules of the language. It tells us how the words are arranged, how clauses are marked, sentence correctness, part of speech and in general the…
