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1
Uncertainty Can Increase Explanatory Credibility
In: DTIC (2013)
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2
Spatial Language for Human-Robot Dialogs
In: DTIC AND NTIS (2003)
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3
HITIQA: An Interactive Question Answering System. A Preliminary Report
In: DTIC (2003)
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4
Dialogue Management for an Automated Multilingual Call Center
In: DTIC (2003)
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5
PEGASUS: A Spoken Language Interface for On-Line Air Travel Planning
In: DTIC (1994)
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6
Usable, Real-Time, Interactive Spoken Language Systems
In: DTIC AND NTIS (1994)
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7
Natural Language Processing: A Tutorial.
In: DTIC AND NTIS (1986)
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8
TEAM: An Experiment in the Design of Transportable Natural-Language Interfaces
In: DTIC (1986)
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9
Rules for Comprehensible Technical Prose: A Survey of the Psycholinguistic Literature.
In: DTIC AND NTIS (1985)
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10
Requirements for Natural Language Understanding in a System with Graphic Displays
In: DTIC AND NTIS (1983)
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11
Natural Language Text Segmentation Techniques Applied to the Automatic Compilation of Printed Subject Indexes and for Online Database Access
In: DTIC AND NTIS (1983)
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12
An Overview of the Penman Text Generation System.
In: DTIC AND NTIS (1983)
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13
Natural Artificial Languages: Low-Level Processes.
In: DTIC AND NTIS (1982)
Abstract: An artificial language is one created for concise and precise communication within a limited domain such as mathematics. A natural artificial language is one that people find easy to learn and use. The author discusses low-level properties of natural artificial languages, especially those in which names are chosen for concepts, and symbols are chosen for names, a class of artificial languages he calls linguistically mediated artificial languages. These properties include choosing mnemonic symbols for names, and suggestive names for concepts, and using both internally and externally consistent syntax. He outlines a model of processing linguistically mediated artificial language and present results from experiments in support of the model. The results of the experiments are applied to the design of a user interface to a programming system, demonstrating their practicality along with their theoretical interest. The research shows the tradeoffs in designing natural artificial languages: naturalness in a specific domain is gained at the cost of generality for other domains. (Author)
Keyword: *Artificial language; *COMPUTER PROGRAMMING; *ENGLISH LANGUAGE; *HUMAN FACTORS ENGINEERING; *LINGUISTICS; *MAN COMPUTER INTERFACE; *Natural artificial languages; COMPUTER FILES; Computer Programming and Software; INFORMATION PROCESSING; Linguistics; LOW LEVEL; MNEMONICS; NATURAL LANGUAGE; SEMANTICS; SYMBOLS; SYNTAX; WUNR667437
URL: http://www.dtic.mil/docs/citations/ADA125800
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA125800
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14
Prerequisites to Deriving Formal Specifications from Natural Language Requirements.
In: DTIC AND NTIS (1981)
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15
Word Meaning Selection in Multiprocess Language Understanding Programs
In: DTIC AND NTIS (1981)
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16
Design Recommendations for Query Languages
In: DTIC AND NTIS (1980)
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17
Review of the ARPA SUR Project and Survey of Current Technology in Speech Understanding.
In: DTIC AND NTIS (1979)
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18
JETS: Achieving Completeness through Coverage and Closure
In: DTIC AND NTIS (1979)
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19
Research in Natural Language Understanding
In: DTIC AND NTIS (1978)
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20
Research in Natural Language Understanding
In: DTIC AND NTIS (1978)
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