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natural-language processing – computer activity in which computers are entailed to analyze, understand, alter, or generate natural language. This includes the automation of any or all linguistic forms, activities, or methods of communication, such as conversation , correspondence, reading , written composition , dictation , publishing ...
When AI is used for translating between languages, it can even create a new shared language to make the process easier. Natural Language Processing (NLP) helps these systems understand and generate human-like language, making it possible for AI to interact and communicate more naturally with people.
Natural language understanding (NLU) or natural language interpretation (NLI) [1] is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
In the mind of a human being, words and language correspond to things one has experienced. [18] For LLMs, words may correspond only to other words and patterns of usage fed into their training data. [19] [20] [4] Proponents of the idea of stochastic parrots thus conclude that LLMs are incapable of actually understanding language. [19] [4]
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Because Internet describes emergent patterns in language use on the internet. She frequently discusses the offline precedents of online language patterns. [1] She told The Guardian, "I had a feeling that people tend to sort of exoticise the internet and think of it as a place where all of the old rules don’t apply, but in many respects people are still people, and we still bring ourselves ...