Natural Language Processing (NLP) is a subfield of computer science that is focused on allowing computers to understand language in a “natural” way, as humans do.
NLP
has become a rapidly evolving field, and one whose applications have
represented a large portion of artificial intelligence (AI). Some examples of
that implemented by using deep learning are chatbots that handle customer service
requests, auto-spellcheck on cell phones, and AI assistants, such as Cortana
and Siri, on smartphones.
The History of Natural
Language Processing
Natural
Language Processing can be classified as a subset of the broader field of
speech and language processing. Because of this, NLP shares similarities such
as computational linguistics, which is concerned with modeling language using
rule-based models. NLP’s inception can be traced back to the development of
computer science in the 1940s. For examples, the alphabet is the simplest structure,
in that it is a collection of letters that can form strings called words. A
formal language is one that has a regular, context-free, and formal grammar. In
addition to the development of computer sciences as a whole, artificial
intelligence’s advancements also played a role in our continuing understanding of
NLP.
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