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Detailed Phonetic Labeling of Multi-language Database for Spoken Language Processing Applications
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In: DTIC (2015)
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Improving DoD Energy Efficiency: Combining MMOWGLI Social-Media Brainstorming with Lexical Link Analysis (LLA) to Strengthen the Defense Acquisition Process
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In: DTIC (2013)
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Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling
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In: DTIC (2012)
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Open-Source Multi-Language Audio Database for Spoken Language Processing Applications
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In: DTIC (2012)
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| 6 |
Advanced Subspace Techniques for Modeling Channel and Session Variability in a Speaker Recognition System
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In: DTIC (2012)
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| 9 |
Machine Learning Techniques for Persuasion Detection in Conversation
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In: DTIC (2010)
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| 10 |
Intelligence after Intellipedia: Improving the Push Pull Balance with a Social Networking Utility
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In: DTIC (2010)
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| 11 |
Intelligence and Information: The Proliferation of Uncertainty
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In: DTIC (2010)
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| 13 |
Connotative Meaning of Military Chat Communications
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In: DTIC (2009)
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Abstract:
Automatic processing of military chat text in operational environments will be necessary to provide automated data collection, collation, and usage for tactical updates, post-mission operational analysis, and watch turnover. The informal nature of chat communications allows the relay of far more information than the technical content of messages. This AFRL in-house project combined components of the methodology applied in a Syracuse University project for IARPA's AQUAINT program with additional research activities to analyze databases of military chat. The project proposed to conduct a study of how humans recognize connotative cues expressing uncertainty, perception of personal threat, and urgency; formulate linguistic and non-linguistic means for recognizing such cues; develop algorithms to automatically perform that recognition, and evaluate the prototype recognition algorithms. The project built a matrix of speech "cues" representative of uncertainty, perception of personal threat, and urgency, but also applied maximum entropy analysis and a combined rule-based/statistical algorithm. Recall, precision and F-score measures for each methodology were determined. ; The original document contains color images.
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Keyword:
*INFORMATION PROCESSING; *LINGUISTICS; *MILITARY APPLICATIONS; *RADIOTELEPHONES; *TEXT CHAT; *TEXTING; ALGORITHMS; DATA ACQUISITION; DATA BASES; ENTROPY; Information Science; Linguistics; METHODOLOGY; PE61102F; PROCESSING; PROTOTYPES; RECOGNITION; UNCERTAINTY; WUAFRL230B8DAH
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA506307
http://www.dtic.mil/docs/citations/ADA506307
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| 14 |
Portable Language-Independent Adaptive Translation from OCR
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In: DTIC (2009)
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| 15 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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| 16 |
Deployment Family Stress: Child Neglect and Maltreatment in U.S. Army Families
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In: DTIC (2009)
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| 17 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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Assessment of Breadth and Utility of India's Research Literature (2005-2006)
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In: DTIC (2007)
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