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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