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Direct linkMughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Download full textHussain, Alaa Eddin; Khuddro, Ahmad – Advances in Language and Literary Studies, 2016
The present research work deals with subtitling errors encountered by simulators and proof-readers. The resultant work is of significant contribution to problem decision makings in the field of quality assessment of audiovisual translation (AVT). The outcome of this paper is the result of accumulated working experience in this domain. The relevant…
Descriptors: Films, Translation, Transcripts (Written Records), Quality Assurance
Sternberg, Robert J. – 1978
Linear syllogisms present two premises, each describing a relation between two terms. The individual's task is to infer the relation among the three terms of the linear syllogism, and then answer a question about one or more of these relations. For example, "John is taller than Bob. Sam is shorter than Bob. Who is the tallest?" Students…
Descriptors: Abstract Reasoning, Cognitive Processes, Deep Structure, Error Patterns
