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Vom Vokabelheft zum Lernen mit einer Lernkartei-Software
In: DaF-Szene Korea ; 35 ; 55-61 ; Einsatz visueller Medien im DaF-Unterricht (2014)
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2
Adding Statistical Machine Translation Adaptation to Computer-Assisted Translation
In: DTIC (2013)
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3
The Impact of Interpretation Problems on Tutorial Dialogue
In: DTIC (2010)
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4
Automatically Generating Reading Comprehension Look-Back Strategy: Questions from Expository Texts
In: DTIC (2008)
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5
NEFTool: System Design
In: DTIC (2007)
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6
A Natural Language Tutorial Dialogue System for Physics
In: DTIC (2006)
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7
Criteria for Appraising Computer-Based Simulations for Teaching Arabic as a Foreign Language
In: DTIC AND NTIS (2005)
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8
Complexity of the Writing Environment: A Case Study At The Edge Of Chaos
In: DTIC AND NTIS (2004)
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9
Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
In: DTIC AND NTIS (2003)
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10
Mentor: Dialog Agent System for Mentoring and Conversational Role-Playing
In: DTIC AND NTIS (2001)
Abstract: The goal of this SBIR program was to provide authorable, dialog-enabled agents for tutoring and performance support systems. Users interact with agents who carry out strategies and goals and can engage in mixed-initiative dialog via a natural language understanding and generation system. Non-programmers can author new domains and scenarios and create new dialog agents. The dialog system is authorable by non-computational linguists. The system has two types of agents, Mentor agents and Conversational agents. The Mentor agent is a simulated subject matter expert (SME) that provides troubleshooting and problem solving advice. Mentor engages in a dialogue with trainees, helping them solve problems by taking them through logical courses of action and asking and answering domain-specific questions. Conversational agents are used for role-playing scenarios. The only real difference between the two agents is that Conversational agents do not have specific problem solving strategies. Both Mentors and Conversational agents have domain specific knowledge and access to a common sense knowledge base. This report describes the capabilities and limitations of results of this Phase II effort. ; --Original contains color plates: All DTIC reproductions will be in black and white.
Keyword: *COMPUTER AIDED INSTRUCTION; *DIALOG AGENTS; *DIALOG ENABLED AGENTS; *MAN COMPUTER INTERFACE; *MENTOR; *NATURAL LANGUAGE; Computer Programming and Software; CONVERSATIONAL AGENTS; KNOWLEDGE BASED SYSTEMS; Linguistics; MENTOR AGENTS; MIXED INIIATIVE DIALOG; PE65502A; PROBLEM SOLVING; SBIR(SMALL BUSINES INNOVATION RESEARCH); SCENARIOS; TROUBLESHOOTING
URL: http://www.dtic.mil/docs/citations/ADA392955
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA392955
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11
Research Into the Use of Speech Recognition Enhanced Microworlds in an Authorable Language Tutor
In: DTIC AND NTIS (1999)
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12
A Multimedia-Based System for Foreign Language Listening and Reading Comprehension.
In: DTIC AND NTIS (1999)
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13
In Support of Military Linguists: Integrating the Internet into U.S. Air Force Language Programs
In: DTIC AND NTIS (1999)
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14
Continuous Speech Recognition in a Language Tutor - Using Learning Principles to Alleviate Underlying Problems
In: DTIC AND NTIS (1998)
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15
The Military Language Tutor (MILT)
In: DTIC AND NTIS (1998)
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16
Visual Feedback for a Student Learning Language Pronunciation
In: DTIC AND NTIS (1997)
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17
Using Speech and Natural Language Technology in Language Intervention
In: DTIC AND NTIS (1997)
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18
Technology Review of the Use of Continuous Speech Recognition for Language Training.
In: DTIC AND NTIS (1997)
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19
Technology Review of the Use of Continuous Speech Recognition for Language Training.
In: DTIC AND NTIS (1996)
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20
Adaptive Statistical Language Modeling; A Maximum Entropy Approach
In: DTIC AND NTIS (1994)
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