History of natural language processing
- History of machine translation
- History of automated essay scoring
- History of natural language user interface
- History of natural language understanding
- History of optical character recognition
- History of question answering
- History of speech synthesis
- Turing test – test of a machine's ability to exhibit intelligent behavior, equivalent to or indistinguishable from, that of an actual human. In the original illustrative example, a human judge engages in a natural language conversation with a human and a machine designed to generate performance indistinguishable from that of a human being. All participants are separated from one another. If the judge cannot reliably tell the machine from the human, the machine is said to have passed the test. The test was introduced by Alan Turing in his 1950 paper "Computing Machinery and Intelligence," which opens with the words: "I propose to consider the question, 'Can machines think?'"
- Universal grammar – theory in linguistics, usually credited to Noam Chomsky, proposing that the ability to learn grammar is hard-wired into the brain. The theory suggests that linguistic ability manifests itself without being taught (see poverty of the stimulus), and that there are properties that all natural human languages share. It is a matter of observation and experimentation to determine precisely what abilities are innate and what properties are shared by all languages.
- ALPAC – was a committee of seven scientists led by John R. Pierce, established in 1964 by the U. S. Government in order to evaluate the progress in computational linguistics in general and machine translation in particular. Its report, issued in 1966, gained notoriety for being very skeptical of research done in machine translation so far, and emphasizing the need for basic research in computational linguistics; this eventually caused the U. S. Government to reduce its funding of the topic dramatically.
- Conceptual dependency theory – a model of natural language understanding used in artificial intelligence systems. Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence. This model was extensively used by Schank's students at Yale University such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner.
- Augmented transition network – type of graph theoretic structure used in the operational definition of formal languages, used especially in parsing relatively complex natural languages, and having wide application in artificial intelligence. Introduced by William A. Woods in 1970.
- Distributed Language Translation (project) –
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“Literary works cannot be taken over like factories, or literary forms of expression like industrial methods. Realist writing, of which history offers many widely varying examples, is likewise conditioned by the question of how, when and for what class it is made use of.”
—Bertolt Brecht (1898–1956)
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—Albert Camus (1913–1960)
“Mediocre people have an answer for everything and are astonished at nothing. They always want to have the air of knowing better than you what you are going to tell them; when, in their turn, they begin to speak, they repeat to you with the greatest confidence, as if dealing with their own property, the things that they have heard you say yourself at some other place.... A capable and superior look is the natural accompaniment of this type of character.”
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“As in private life one differentiates between what a man thinks and says of himself and what he really is and does, so in historical struggles one must still more distinguish the language and the imaginary aspirations of parties from their real organism and their real interests, their conception of themselves from their reality.”
—Karl Marx (1818–1883)