SwiftKey capitalized on this principle by scouring countless sources and combining natural language processing and artificial intelligence to understand better the context of what a person is trying to write.

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Creating software that can write long-form narratives is very difficult, full of all sorts of interesting artificial intelligence, machine learning and natural language problems.

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Quite which way is likely to produce what we all finally desire, a machine intelligence that we can query with natural language and get the answers based upon all of human knowledge, is as yet unknown.

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It was, to be sure, a mind-bending advance in artificial intelligence, and a fascinating display of natural language recognition.

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During my studies I was heavily interested in Artificial Intelligence, things like neural nets, fuzzy logic, natural language processing.

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This scenario took a step toward becoming reality in October when Apple introduced its iPhone 4S featuring Siri, an artificial intelligence program that can recognize and respond to queries in natural language.

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