| Language and AI |
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 | Artificial Intelligence at Brown University
The department is concerned with theoretical and empirical studies involving problems from the disciplines of natural language interpretation and machine perception
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| Words and Rules
Dr. Steven Pinker writes about the important problem in AI of understanding how language works
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| The Babel Fish Translator
This translation application from Alta Vista is a good place to experience the achievements and short-comings of the interaction between computers and natural language
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| "Ambiguous Words"
Understanding how humans process the subtlety of language is crucial to recreating the ability to understand natural language in computers
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| Center for Machine Translation
The CMT at the Carnegie Mellon University conducts advanced research and development in a suite of technologies for natural language processing, with a primary focus on high-quality multi-lingual machine translation
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| The MC2 Project - Machines of Collective Conscience
"The MC2 machine is like a mirror of what happens inside the brain of multiple individuals trying to impose their own conscience onto the group"
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| The Well-Designed Child
This well-written and consuming article by John McCarthy of Stanford University is concerned with designing adequate mental structures, including a language of thought
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| Wallowing in the Quagmire of Language
How can we prove that a software entity is really conscious? How do we show that it is not `merely' mechanical but truly occupying a subject position? An article about Artificial Intelligence, Psychiatry, and the Search for the Subject, by Phoebe Sengers of Carnegie Mellon University
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