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Tame, M. S.,McEnery, K. R.,Ã,–,zdemir, K.,Lee, J.,Maier, S. A.,Kim, M. S. NATURE PUBLISHING GROUP 2013 Nature physics Vol.9 No.6
<P>Quantum plasmonics is a rapidly growing field of research that involves the study of the quantum properties of light and its interaction with matter at the nanoscale. Here, surface plasmons-electromagnetic excitations coupled to electron charge density waves on metal-dielectric interfaces or localized on metallic nanostructures-enable the confinement of light to scales far below that of conventional optics. We review recent progress in the experimental and theoretical investigation of the quantum properties of surface plasmons, their role in controlling light-matter interactions at the quantum level and potential applications. Quantum plasmonics opens up a new frontier in the study of the fundamental physics of surface plasmons and the realization of quantum-controlled devices, including single-photon sources, transistors and ultra-compact circuitry at the nanoscale.</P>
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Situation Aspect as a Universal Aspect : Implications for Artificial Languages
Xiao, Zhonghua,Anthony McEnery Institute for University Language Sejong Instituti 2002 Journal of Universal Language Vol.3 No.2
Aspect, as one of the elements of verb mechanics, has been over-looked by many language designers. This paper argues that an artificial language, designed as a universal language for international communication, should incorporate the "universal" component of aspect found cross-linguistically in natural languages. In doing so, the paper develops a two-level model of situation aspect in which situation aspect is modelled as verb classes at the lexical level and as situation types at the sentential level. With a framework consisting of a lexicon, a layered clause structure and a set of mapping rules, the model is developed and tested using an English corpus and a Chinese corpus.
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Semantic Domain Network Analysis of Maritime English Near-Synonyms
Se-Eun Jhang,Sung-Min Lee,Tony McEnery,Vaclav Brezina,Wenyu Lu 한국코퍼스언어학회 2017 Corpus Linguistics Research Vol.3 No.-
The purpose of this paper is to graphically represent semantic domain networks of maritime English near-synonyms as such displays can provide insights into semantic relations. A specialised corpus from international maritime communities was used. Keywords are extracted by comparing the Maritime English Corpus with the BNC Baby. Among keywords within the top 20 ranks, we focus on ship-vessel and maritime-marine. We use the MI3 score to identify collocates of the two pairs of near-synonyms and the Wmatrix web interface program to tag semantic domains. We create key semantic domain networks using the social network analysis tool NetMiner 4.0. The results show that some semantic domains are connected between the two pairs of near-synonyms, while others are not connected. The findings of the study indicate how semantic domain networks of keyword collocates and simple collocates help to distinguish near-synonyms through graphical representations of a corpus. The paper found that semantic domains with keyword collocates have a stronger tendency to connect two pairs of near-synonyms than those with simple collocates.
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