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Diccionario Bilingüe de Metáforas y Metonimias Científico-Técnicas presents the extensive range of metaphoric and metonymic terms and expressions that are commonly used within the fields of science, engineering, architecture and sports science. Compiled by a team of linguists working across a range of technical schools within the Universidad Politécnica de Madrid, this practical dictionary fills a gap in the field of technical language and will be an indispensable reference for students within the fields of science, engineering or sports science seeking to work internationally and for translators and interpreters working in these specialist fields.
This volume addresses demands on external and internal science communication in times of crisis. The contributions discuss present crises such as COVID-19 (e.g. vaccination campaigns or political reactions towards the pandemic in the context of science scepticism), and climate change (e.g. plausibility judgements or the role of scientists). They also relate their approaches to past crises, e.g. 9/11 or the Galileo affair. This volume is unique in that it is interdisciplinary from a theoretical and methodological perspective. In that respect, the authors apply concepts from corpus linguistics, discourse analysis, rhetoric, news values analysis, pragmatics and terminology research to various t...
This book is an exploration of the dimensions of meaning in language from several important perspectives that are of major interest to scholars today, bringing together studies from the realms of linguistic pragmatics, semantics, ontological knowledge engineering, and computational linguistics. Situated within modern functional-cognitive constructional-ontological and computational paradigms, the analyses here are supported by authentic language data, including corpus data, from a rich set of languages. Context and situation play an important but complex role in meaning elaboration. The role of context and situation is elusive and has proved difficult to elucidate with respect to meaning and...
Showcases recent research by leading scholars working within the relevance-theoretic pragmatics framework.
Technology-Enhanced Language Learning for Specialized Domains provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes. It combines theoretical and applied research from an interdisciplinary angle, covering general issues related to learning languages with computers, assessment, mobile-assisted language learning, the new language massive open online courses, corpus-based research and computer-assisted aspects of translation. The chapters in this collection include contributions from a number of international experts in the field with a wide range of experience in the use of technologies to enhance the language le...
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financi...