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Hits 1 – 19 of 19

1	The Impact of Interpretation Problems on Tutorial Dialogue
	Dzikovska, Myroslava O.; Moore, Johanna D.; Steinhauser, Natalie...
	In: DTIC (2010)
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2	Breaking the Resource Bottleneck for Multilingual Parsing
	Hwa, Rebecca; Resnik, Philip; Weinberg, Amy
	In: DTIC AND NTIS (2005)
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3	Air Force Dual-Use Science and Technology Two-Way Voice-To-Voice Translator
	McCune, Timothy
	In: DTIC AND NTIS (2004)
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4	Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
	Evens, Martha W.
	In: DTIC AND NTIS (2003)
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5	Technical Opportunities to Help with the Year 2000 Problem
	Reps, Thomas W.
	In: DTIC AND NTIS (1997)
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6	Diphone-Based Speech Recognition Using Neural Networks.
	Cantrell, Mark E.
	In: DTIC AND NTIS (1996)
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7	A Robust Loose Coupling for Speech Recognition and Natural Understanding.
	Ringger, Eric K.
	In: DTIC AND NTIS (1995)
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8	The Use of Fuzzy Set Classification for Pattern Recognition of the Polygraph. Volume 2.
	Knapp, R. B.; Agarwal, Ulka; Djamschidi, Ramin...
	In: DTIC AND NTIS (1995)
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9	Spoken Dialogue Understanding and Local Context.
	Heeman, Peter A.
	In: DTIC AND NTIS (1994)
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10	Segment-Based Acoustic Models for Continuous Speech Recognition.
	Ostendorf, Mari; Rohlicek, J. R.
	In: DTIC AND NTIS (1994)
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11	High-Performance Speech Recognition Using Consistency Modeling.
	Digalakis, Vassilios; Murveit, Hy; Monaco, Peter...
	In: DTIC AND NTIS (1994)
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12	A Speech Controlled Information-Retrieval System
	Cooke,M P
	In: DTIC AND NTIS (1983)
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13	Interactive Natural Language Problem Solving: A Pragmatic Approach
	Biermann,A.; Rodman,R.; Ballard,B....
	In: DTIC AND NTIS (1983)
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14	Adaptive Understanding: Correcting Erroneous Inferences.
	Granger,Richard Horace , Jr
	In: DTIC AND NTIS (1980)
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15	Structure-Preserved Error-Correcting Tree Automata for Syntactic Pattern Recognition
	Lu,S Y; Fu,K S
	In: DTIC AND NTIS (1976)
	Abstract: An error-correcting syntax analyzer for tree languages with substitution errors, called structure-preserved error-correcting tree automaton (ECTA), is studied. Substitution errors are defined in terms of transformation which can easily be accommodated to linguistic notion. Let L be a tree language, for a tree beta not in L, the essence of ECTA is to search for a tree alpha in L such that the cost sequence of error transformations needed to transform alpha to beta is the minimum among all the sentences in L. A LANDSAT data interpretation problem is used as an example to illustrate the operation of ECTA. (Author) ; Pub. in IEEE Conference on Decision and Control (1976), 1-3 Dec 76, Clearwater, Fla.
	Keyword: ERROR CORRECTION CODES; PATTERN RECOGNITION; *Trees(MathematicS); ALGORITHMS; DECISION THEORY; LANGUAGE; Operations Research; PARSERS; PE61102F; STRUCTURES; SUBSTITUTES; TOPOLOGY; TRANSFORMATIONS(MATHEMATICS); WUAFSOR2304A2
	URL: http://www.dtic.mil/docs/citations/ADA034061 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA034061
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16	Abstract Data Types and Software Validation
	Guttag, John V; Horowitz, Ellis; Musser, David R
	In: DTIC AND NTIS (1976)
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17	Error Correcting Codes for the English Alphabet and Generalizations
	Solomon,G.
	In: DTIC AND NTIS (1972)
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18	PROBABILITIES IN CONTEXT-FREE PROGRAMMED GRAMMARS
	DE Renna e Souza,Celso
	In: DTIC AND NTIS (1970)
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19	Practicing Correction Codes to Improve English Writing Skills
	Dr. K. Yugandhar
	In: http://www.arcjournals.org/pdfs/ijsell/v2-i8/2.pdf
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