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NLP makes use of computers, image scanners, microphones, and many types of software programs. Language technology – consists of natural-language processing (NLP) and computational linguistics (CL) on the one hand, and speech technology on the other. It also includes many application oriented aspects of these.
Even Dimon—a fierce advocate of long-established career norms such as working hard, being prepared for anything, and working in the office—says future generations of employees could work a day ...
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.
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...
For example, when confronted with a question of the form 'which U.S. state has the highest income tax?', conventional search engines ignore the question and instead search on the keywords 'state', 'income' and 'tax'. Natural-language search, on the other hand, attempts to use natural-language processing to understand the nature of the question ...
We are now reaching a sort of tipping point where we will see many more commercial applications of NLP — some using some of these open source, publicly available platforms — hit the market.
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Considered harmful was already a journalistic cliché used in headlines, well before the Dijkstra article, as in, for example, the headline over a letter published in 1949 in The New York Times: "Rent Control Controversy / Enacting Now of Hasty Legislation Considered Harmful". [2]