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Semantic-Directed Clumping of Disjunctive Abstract States *
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In: POPL 2017 - 44th ACM SIGPLAN Symposium on Principles of Programming Languages ; https://hal.inria.fr/hal-01648679 ; POPL 2017 - 44th ACM SIGPLAN Symposium on Principles of Programming Languages, Jan 2017, Paris, France. pp.32-45, ⟨10.1145/3009837.3009881⟩ (2017)
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| 22 |
Copredication in homotopy type theory
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In: https://hal.archives-ouvertes.fr/hal-01628150 ; 2017 (2017)
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| 23 |
Mobile user authentication system (MUAS) for e-commerce applications.
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| 24 |
The mat sat on the cat : investigating structure in the evaluation of order in machine translation
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McCaffery, Martin. - : University of St Andrews, 2017. : The University of St Andrews, 2017
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| 25 |
Computational analysis of tongue image for health diagnosis
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Zhang, Meng. - : University of Missouri--Columbia, 2017
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In: Submited to University of Missouri--Columbia Graduate School. (2017)
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| 26 |
Speech-to-text technology and education : pre-service teachers' collaborative professional development as case study
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Wilcox, Kevin. - : Nipissing University, Faculty of Education, 2017
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| 27 |
Speech-to-text technology and education : pre-service teachers' collaborative professional development as case study
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| 28 |
Applications of Text Analytics in the Intelligence Community
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| 30 |
Использование компьютерных программ, основанных на лингвистическом анализе ложной информации (обзор зарубежного исследования)
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ХОЛЕВЧУК А.Г.. - : Общество с ограниченной ответственностью «Коллоквиум», 2015
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| 31 |
Интерактивная компьютерная программа по развитию описательной связной речи для детей и взрослых с речевой патологией
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ИВАНОВА НАТАЛИЯ НИКОЛАЕВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Удмуртский государственный университет», 2015
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| 32 |
Non-linear Second order Abstract Categorial Grammars and deletion
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In: NLCS 2015: Natural Language and Computer Science ; https://hal.archives-ouvertes.fr/hal-01251127 ; NLCS 2015: Natural Language and Computer Science, Makoto Kanazawa, 2015, Kyoto, Japan (2015)
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| 33 |
The Impact of the Use of Dynamic Software as a Teaching Tool in Geometry
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| 34 |
Program Design: The Learner Path
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In: Research Briefs and Case Studies (2015)
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| 35 |
Program Design: Volunteering in a Digital Literacy Program
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In: Research Briefs and Case Studies (2015)
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| 36 |
Program Design: Tutor-Facilitated Digital Literacy Acquisition
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In: Research Briefs and Case Studies (2015)
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| 37 |
Program Design: Learning Digital Skills in a Corrections Setting
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In: Research Briefs and Case Studies (2015)
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| 38 |
Program Design: Learning Digital Skills in a Time-limited Program
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In: Research Briefs and Case Studies (2015)
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| 40 |
Exploring Social Meaning in Online Bilingual Text through Social Network Analysis
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In: DTIC (2015)
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Abstract:
This report documents the intersection of computational social network analysis and sociolinguistic research aimed at discovering how social intent is communicated through online bilingual speech acts in African cultures. Researchers from the US Army Research Lab (ARL) and Howard University (HU) exchanged information, data, and analyses to examine the feasibility of using automated text analytics software to provide contextual understanding within a text corpus. This effort extends the Army Research Office Partners in Research Transition program titled Extracting Social Meaning from Linguistic Structures Involving Code-Switching in English (and French) with Selected African Languages led by HU. It also provided test and evaluation opportunities for ARL prototype software designed to extract relational networks and sentiment from unstructured Tweets. This collaboration was driven by the realization that more social input is needed to refine context for sociolinguistic analysis and also by the increasing importance of modeling social issues for military decision making. To address social communication acts, we focus on using Twitter for sharing individual and collective opinions. Social media services in general have gained popularity in recent years and are frequently used for discovery and analysis of social intent. We examine the sociolinguistic features that can be used to discover social intent, discuss how social network analysis can be used to inform contextual nuances in which that intent is communicated, and describe how automated tools can be used to support sociolinguistic analysis. We conclude with future research directions that can extend the rich connections between computational social network analysis and the study of sociolinguistics. ; The original document contains color images.
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Keyword:
*COMMUNICATIONS NETWORKS; CODE-SWITCHING; COMPUTER PROGRAMS; EXTRACTION; LINGUISTICS; Radio Communications; SOCIAL COMMUNICATION; SOCIAL INTENT; SOCIAL NETWORK ANALYSIS; SOCIOLINGUISTICS; TEXT ANALYTICS; TRANSITIONS
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URL: http://www.dtic.mil/docs/citations/ADA622463
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA622463
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