Institution
Dublin City University
Education•Dublin, Ireland•
About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Machine translation & Laser. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.
Topics: Machine translation, Laser, Irish, Population, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: Proof of principle is provided for tailoring the pharmacological properties of these toxins by protein engineering.
112 citations
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TL;DR: In this study, the fatigue strengths of acrylic cement prepared by various commercially available reduced pressure mixing systems were compared with the fatigue strength of cement mixed by hand (control) under atmospheric conditions.
112 citations
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TL;DR: In this paper, a parametrical analysis with magnetic simulation of a magnetostrictive actuator has been presented, and the performance has been evaluated on an experimental rig with an 8mm diameter Terfenol-D shaft.
Abstract: Several advanced technologies are introduced in automotive applications. Higher energy density and dynamic performance are demanding new and cost-effective actuator structures. Magnetostriction (MS), change in shape of materials under the influence of an external magnetic field, is one of the advanced technologies. Good understanding of specific design constrains is required to define and optimize a magnetostrictive actuator. This paper presents parametrical analysis with magnetic simulation of a magnetostrictive actuator. Proposed actuator has been designed, and the performance has been evaluated on experimental rig. Strain, elongation of the shaft, of 1000 ppm at 10 A and a blocked force over 4500 N has been achieved with shaft of 8 mm diameter, made of Terfenol- D . Furthermore, the effect of pre-stress of the Terfenol- D shaft has been evaluated experimentally. The study shows that excellent features can be obtained by magnetostrictive materials for many advanced applications.
112 citations
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TL;DR: In this article, the authors identify the language learning strategies associated with the achievement of higher levels of oral proficiency in German for 100 Irish students about to complete their second year at Dublin City University.
Abstract: Teachers and learners are often uncertain about the processes at work when students attempt to acquire oral skills in a foreign language. The primary objective of this study is to identify the language-learning strategies associated with the achievement of higher levels of oral proficiency in German for 100 Irish students about to complete their second year at Dublin City University. It also investigates the way in which these strategies are used by those with higher and lower levels of proficiency. The methodology combines quantitative assessment (using questionnaires)with in-depth, qualitative interviews. The article begins by explaining key concepts in the field of language learning strategy research and then reviews a selection of relevant studies. An experiment designed to achieve the above objectives is then described. The results indicate that more-proficient students use more language-learning strategies, in particular more cognitive and metacognitive strategies. Furthermore, ten. strategies correlate with higher levels of oral proficiency at a significant level. These provide a tentative strategic profile of the more effective learner of German. Finally, the qualitative findings suggest that more-proficient students use language-learning strategies in a more structured and purposeful manner and apply them to a wider range of situations and tasks. Finally, implications for future research and for the language classroom are discussed.
112 citations
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01 Jan 2017TL;DR: It is found that translations produced by neural machine translation systems are considerably different, more fluent and more accurate in terms of word order compared to those produced by phrase-based systems.
Abstract: We aim to shed light on the strengths and weaknesses of the newly introduced neural machine translation paradigm. To that end, we conduct a multifaceted evaluation in which we compare outputs produced by state-of-the-art neural machine translation and phrase-based machine translation systems for 9 language directions across a number of dimensions. Specifically, we measure the similarity of the outputs, their fluency and amount of reordering, the effect of sentence length and performance across different error categories. We find out that translations produced by neural machine translation systems are considerably different, more fluent and more accurate in terms of word order compared to those produced by phrase-based systems. Neural machine translation systems are also more accurate at producing inflected forms, but they perform poorly when translating very long sentences.
112 citations
Authors
Showing all 6059 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joseph Wang | 158 | 1282 | 98799 |
David Cameron | 154 | 1586 | 126067 |
David Taylor | 131 | 2469 | 93220 |
Gordon G. Wallace | 114 | 1267 | 69095 |
David A. Morrow | 113 | 598 | 56776 |
G. Hughes | 103 | 957 | 46632 |
David Wilson | 102 | 757 | 49388 |
Muhammad Imran | 94 | 3053 | 51728 |
Haibo Zeng | 94 | 604 | 39226 |
David Lloyd | 90 | 1017 | 37691 |
Vikas Kumar | 89 | 859 | 39185 |
Luke P. Lee | 84 | 413 | 22803 |
James Chapman | 82 | 483 | 36468 |
Muhammad Iqbal | 77 | 961 | 23821 |
Michael C. Berndt | 76 | 228 | 16897 |