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1
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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2
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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3
Minimum Bayes-Risk Decoding for Statistical Machine Translation
In: DTIC (2004)
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4
A Survey of Current Paradigms in Machine Translation
In: DTIC (1998)
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5
NLP Track at TREC-5
In: DTIC (1996)
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6
Talking to InterFIS: Adding Speech Input to a Natural Language Interface
In: DTIC AND NTIS (1992)
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7
BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991
In: DTIC (1991)
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8
Preparing a Sublanguage Grammar
In: DTIC AND NTIS (1991)
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9
The Semantic Analyzer.
In: DTIC AND NTIS (1991)
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10
Very High Speed Integrated Circuits (VHSIC) Hardware Description Language (VHDL) Syntax and Semantics Summary
In: DTIC AND NTIS (1991)
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11
BBN PLUM: MUC-3 Test Results and Analysis
In: DTIC (1991)
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12
Research in Natural Language Processing
In: DTIC AND NTIS (1990)
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13
Integration of Speech and Natural Language
In: DTIC AND NTIS (1989)
Abstract: This report describes the progress during both years of the project, from January 1, 1987 to December 30, 1988. During the course of the project, we have focused on two major activities: Developing syntactic and semantic components for natural language processing; and Integrating the developed syntax and semantics with speech for speech understanding. To measure the coverage of the syntactic and semantic components and the performance of the integrated system, we use the DARPA 1000-word Resource Management Database corpus. This corpus has been used for developing a standard speech database for evaluating the performance of speech recognition algorithms developed under the Strategic Computing Program. Development and evaluation of the natural language processing components-i.e. syntax and semantics-are done using a training corpus and a test corpus, both drawn from the Resource Management domain. The training corpus is examined by the system developers and is used to determine the phenomena that should be handled. The test set is never examined by the developers; its purpose is to allow us to estimate performance on an independent set that would be representative of the ultimate system's performance in the field.
Keyword: *NATURAL LANGUAGE; *SPEECH; ALGORITHMS; DATA BASES; INFORMATION PROCESSING; INTEGRATION; Linguistics; PERSONNEL; RESOURCE MANAGEMENT; SEMANTICS; SPEECH RECOGNITION; SYNTAX; SYSTEMS ENGINEERING; TEST SETS; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA206679
http://www.dtic.mil/docs/citations/ADA206679
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14
A Contrast Between Computer and Human Language Understanding
In: DTIC AND NTIS (1988)
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15
Cognitive Science Program. Consequences of a Phonological Coding Deficit on Sentence Processing.
In: DTIC AND NTIS (1985)
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