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Hits 1 – 14 of 14

1	Software Sciences and Engineering Research
	Morris, J.; Shaw, M.
	In: DTIC AND NTIS (2000)
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2	A Tutorial on Techniques and Applications for Natural Language Processing
	Hayes, Philip J.; Carbonell, Jaime G.
	In: DTIC AND NTIS (1983)
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3	Syntax-Directed Editing: Towards Integrated Programming Environments
	Medina-Mora, Raul
	In: DTIC AND NTIS (1982)
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4	Survey of Scope Issues in Programming Languages
	Schwanke, Bob
	In: DTIC AND NTIS (1978)
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5	Formalization and Automatic Derivation of Code Generators.
	Cattell,R G G
	In: DTIC AND NTIS (1978)
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6	A Comparison of Programming Languages for Software Engineering.
	Shaw,Mary; Almes,Guy T; Newcomer,Joseph M...
	In: DTIC AND NTIS (1978)
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7	Speech Understanding Systems. Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University
	In: DTIC AND NTIS (1977)
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8	Analysis of Languages for Man-Machine Voice Communication
	Goodman, Robert G
	In: DTIC AND NTIS (1976)
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9	Knowledge Acquisition from Structural Descriptions
	Hayes-Roth, Frederick; McDermott, John
	In: DTIC AND NTIS (1976)
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10	Segmentation and Labeling of Speech: A Comparative Performance Evaluation
	Goldberg, Henry G
	In: DTIC AND NTIS (1975)
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11	Computer-Science Research Review 1971-1972.
	Shoub,Heather
	In: DTIC AND NTIS (1972)
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12	THE DESCRIPTION, SIMULATION, AND AUTOMATIC IMPLEMENTATION OF DIGITAL COMPUTER PROCESSORS.
	Darringer,John A.
	In: DTIC AND NTIS (1969)
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13	ON COMPUTATIONAL SPEED-UP
	Meyer,Albert R.; Fischer,Patrick C.
	In: DTIC AND NTIS (1968)
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14	NATURAL LANGUAGE LEARNING BY COMPUTER
	Siklossy, Laurent
	In: DTIC AND NTIS (1968)
	Abstract: Learning a natural language is taken as an improvement in a system's ability to express situations in a natural language. This dissertation describes a computer program, called Zbie, written in IPL-V, which accepts the description of situations in a uniform, structured functional language and tries to express these situations in a natural language. Examples are given for German and, mostly, Russian. At run-time, Zbie builds simple memory structures. Patterns and sets are built on the functional language. The translation rules of the patterns and an in-context vocabulary provide the transition to the natural language. Zbie is a cautious learner, and avoids errors by several mechanisms. Zbie is capable of some evolutionary learning.
	Keyword: ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAMS; *LINGUISTICS; Bionics; Computer Programming and Software; ERRORS; GERMAN LANGUAGE; LEARNING; LEARNING MACHINES; Linguistics; MACHINE TRANSLATION; PATTERN RECOGNITION; RUSSIAN LANGUAGE; SET THEORY; THESES; VOCABULARY
	URL: http://www.dtic.mil/docs/citations/AD0671937 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0671937
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