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Acoustic features of dysphonic speech vs normal speech in New Zealand English speakers
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Modeling verb valency in a computational grammar for Portuguese in the HPSG formalism ; Modelação da valência verbal numa gramática computacional do português no formalismo HPSG
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In: Domínios de Lingu@gem; Ahead of Print; 1-63 ; 1980-5799 (2022)
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Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
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Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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85 |
Recognition of Urdu sign language: a systematic review of the machine learning classification
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In: PeerJ Comput Sci (2022)
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86 |
Multi-label emotion classification of Urdu tweets
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In: PeerJ Comput Sci (2022)
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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88 |
Word Frequency Analysis of Community Reaction to Religious Violence on Social Media
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In: School of Computer Science & Engineering Faculty Publications (2022)
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(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment
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In: PeerJ Comput Sci (2022)
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A systematic literature review on spam content detection and classification
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In: PeerJ Comput Sci (2022)
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People’s expectations and experiences of big data collection in the Saudi context
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In: PeerJ Comput Sci (2022)
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Developing and evaluating cybersecurity competencies for students in computing programs
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In: PeerJ Comput Sci (2022)
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Abstract:
Changes due to technological development in the workplace are putting pressure on academia to keep pace with the changing nature of work. Due to the growing need for cybersecurity professionals, universities improve their cybersecurity programs to develop qualified cybersecurity competencies. The purpose of this study is to validate the cybersecurity knowledge, skills, and abilities (KSAs) competencies of cybersecurity degree programs using a fuzzy linguistic group decision-making method. This study shows that cybersecurity knowledge is essential, along with technical skills and human abilities for cybersecurity professionals.
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Keyword:
Computational Linguistics
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771794/ http://www.ncbi.nlm.nih.gov/pubmed/35111916 https://doi.org/10.7717/peerj-cs.827
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Multitask Pointer Network for Multi-Representational Parsing
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Masked language models directly encode linguistic uncertainty
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Learning Stress Patterns with a Sequence-to-Sequence Neural Network
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Modeling human-like morphological prediction
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In: Proceedings of the Society for Computation in Linguistics (2022)
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The interaction between cognitive ease and informativeness shapes the lexicons of natural languages
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In: Proceedings of the Society for Computation in Linguistics (2022)
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What is so Plautine about Plautine Language? Computers and the Style of Early Latin Drama
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In: Peter Barrios-Lech (2022)
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