One of the mysteries of the English language finally explained.
A language that has developed naturally in use (as contrasted with an artificial language or computer code).
- ‘But linguistics and natural language processing have not been feeding into the word processor industry at all.’
- ‘Of course, natural languages are examples of symbol systems, but there are many other, non-linguistic systems: pictorial, gestural, diagrammatic, etc.’
- ‘I'd want to see a lot of very detailed argument before I would be prepared to believe that there is a natural language with no nouns or verbs.’
- ‘I'm not sure if there are any natural languages that don't use verbs, nouns, or adjectives, but as far as artificial ones go, it's not hard to eliminate one of them.’
- ‘Every normal human being acquires a natural language and that language is extraordinarily similar to that of the surrounding group.’
- ‘Yet polysemy is endemic to natural languages, as a detailed analysis of just about any word will confirm.’
- ‘Understanding natural language allows computers to facilitate human problem solving and decision making.’
- ‘Just like real words in natural languages, they can be given different emotional connotations by their contexts.’
- ‘And, since natural languages like English are semantically closed, Tarski's theory also has the weakness of applying only to artificial languages.’
- ‘Nothing written in a natural language is unambiguous.’
- ‘What brains do when they process sentences of a natural language is to some extent independent of the language.’
- ‘Semantic analysis of blogs represents the next challenge in the quest for understanding natural language.’
- ‘However as humans we make many mistakes when programming, especially given that we have to use a programming language to do the job and most programming languages differ drastically from natural languages.’
- ‘From another angle, the problem of meaning has involved questions about the mechanism of reference and the semantics of various terms in natural languages.’
- ‘If this holds for computer programming languages, it surely holds much more for natural languages.’
- ‘In real natural languages, looking at a larger quantity of data generally makes it clearer what the grammatical principles are.’
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