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Institution

Dublin City University

EducationDublin, Ireland
About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Context (language use) & Machine translation. 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.


Papers
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Journal ArticleDOI
TL;DR: A “state of the science” view of AT users is provided, conceptualized as “People” within the set of GATE strategic “P”s, and the role of advocacy, empowerment and co-design in developing and driving AT processes is considered.
Abstract: This paper is based on work from the Global Research, Innovation, and Education on Assistive Technology (GREAT) Summit that was coordinated by WHO's Global Cooperation on Assistive Technology (GATE). The purpose of this paper is to describe the needs and opportunities embedded in the assistive product lifecycle as well as issues relating to the various stages of assistive product mobilization worldwide. The paper discusses assistive technology product terminology and the dangers of focusing on products outside the context and rolling out products without a plan. Additionally, the paper reviews concepts and issues around technology transfer, particularly in relation to meeting global needs and among countries with limited resources. Several opportunities are highlighted including technology advancement and the world nearing a state of readiness through a developing capacity of nations across the world to successfully adopt and support the assistive technology products and applications. The paper is optimistic about the future of assistive technology products reaching the people that can use it the most and the excitement across large and small nations in increasing their own capacities for implementing assistive technology. This is expressed as hope in future students as they innovate and in modern engineering that will enable assistive technology to pervade all corners of current and potential marketplaces. Importantly, the paper poses numerous topics where discussions are just superficially opened. The hope is that a set of sequels will follow to continue this critical dialog. Implications for Rehabilitation Successful assistive technology product interventions are complex and include much more than the simple selection of the right product. Assistive technology product use is highly context sensitive in terms of an individual user's environment. The development of assistive technology products is tricky as it must be contextually sensitive to the development environment and market as well. As a field we have much to study and develop around assistive technology product interventions from a global perspective.

142 citations

Journal ArticleDOI
TL;DR: This work has identified the practical capabilities that an ideal monitoring tool should possess to serve the objectives in different Cloud operational areas and presents a taxonomy and analyse the monitoring tools to determine their strength and weaknesses.

142 citations

Journal ArticleDOI
TL;DR: In this paper, the authors highlight the vital role that both state trust (trust in top management, trust in immediate supervisor and trust in co-workers) and trait trust or trust propensity play in the advancement of employee work engagement.
Abstract: The main objective of this paper is to highlight the vital role that both state trust (trust in top management, trust in immediate supervisor and trust in co-workers) and trait trust or trust propensity play in the advancement of employee work engagement. This study posits that the relationship between trust and work engagement is mutually reinforcing and leads to an upward spiral effect. That is, high levels of state and trait trust boost work engagement, which in turn augments both forms of trust and so on. Additionally, the current paper also examines the interaction effects of state and trait trust on employees’ work engagement.

142 citations

Journal ArticleDOI
TL;DR: This review details emerging trends in nanotechnology to specifically target wound healing applications and particular focus is given to the most common natural polymers that could address many unmet healthcare needs.

142 citations

Proceedings Article
01 May 2012
TL;DR: This work describes a standalone tool that has two main purposes: facilitate the post-editing of translations from any MT system so that they reach publishable quality and collect sentence-level information from the post -editing process, e.g.: post-Editing time and detailed keystroke statistics.
Abstract: Given the significant improvements in Machine Translation (MT) quality and the increasing demand for translations, post-editing of automatic translations is becoming a popular practice in the translation industry. It has been shown to allow for much larger volumes of translations to be produced, saving time and costs. In addition, the post-editing of automatic translations can help understand problems in such translations and this can be used as feedback for researchers and developers to improve MT systems. Finally, post-editing can be used as a way of evaluating the quality of translations in terms of how much post-editing effort these translations require. We describe a standalone tool that has two main purposes: facilitate the post-editing of translations from any MT system so that they reach publishable quality and collect sentence-level information from the post-editing process, e.g.: post-editing time and detailed keystroke statistics.

141 citations


Authors

Showing all 6059 results

NameH-indexPapersCitations
Joseph Wang158128298799
David Cameron1541586126067
David Taylor131246993220
Gordon G. Wallace114126769095
David A. Morrow11359856776
G. Hughes10395746632
David Wilson10275749388
Muhammad Imran94305351728
Haibo Zeng9460439226
David Lloyd90101737691
Vikas Kumar8985939185
Luke P. Lee8441322803
James Chapman8248336468
Muhammad Iqbal7796123821
Michael C. Berndt7622816897
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202367
2022261
20211,110
20201,177
20191,030
2018935