NATURAL LANGUAGE Definition & Meaning

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natural language

[ nach-er-uhl lang-gwigzh, nach-ruhl ]

Phonetic (Standard)IPA

noun

a language used as a native tongue by a group of speakers, as Arabic, English, Mandarin, etc.:
Natural languages reflect cultural values like honesty or diplomacy in the manner and tone by which they communicate information.
a language that has developed and evolved naturally, through use by human beings, as opposed to an invented or constructed language, as a computer programming language (often used attributively): The search engine will return accurate results for keyword searches and natural language queries. Compare artificial language ( def ).
Natural language is characterized by ambiguity that artificial intelligence struggles to interpret.
The search engine will return accurate results for keyword searches and natural language queries.

natural language

noun

a language that has evolved naturally as a means of communication among people Compare artificial language formal language
languages of this kind considered collectively

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�y��vlog History and Origins

Origin of natural language¹

First recorded in 1770–75 natural language fordef 1; 1960–65 natural language fordef 2

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Example Sentences

Examples have not been reviewed.

After DeepSeek-R1 was launched earlier this month, the company boasted of "performance on par with" one of OpenAI's latest models when used for tasks such as maths, coding and natural language reasoning.

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After DeepSeek-R1 was launched earlier this month the company boasted of "performance on par with" one of ChatGPT maker OpenAI's latest models - when used for tasks such as maths, coding and natural language reasoning.

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In the audio part of the experiment, the patients participated in a question-and-answer session and several activities focused on reading and describing pictures to capture their natural language and cognitive state.

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The potential for damagingly inaccurate outputs is heightened by AI bots’ natural language capabilities, with which they offer even absurdly inaccurate answers with convincingly cocksure elan.

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"This kind of gets to a big challenge of evaluating LLMs, because they're getting so good at generating nice, seemingly correct natural language, that it's easy to be fooled by their responses," said Jiang.

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