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Assessing Infiltration and Exfiltration on the Performance of Urban Sewer Systems
Sewer systems constitute a very significant heritage in European cities. Their structural quality and functional efficiency are key parameters to guarantee the transfer of domestic and industrial wastewater to treatment plants without infiltration nor exfiltration. Infiltration of groundwater is particularly detrimental to treatment plant efficiency, while exfiltration of wastewater can lead to groundwater contamination. The European research project APUSS (Assessing infiltration and exfiltration on the Performance of Urban Sewer Systems) was devoted to sewer infiltration and exfiltration questions. It was structured in three main Work Areas dealing respectively with i) the development of ne...
Enhancing Urban Environment by Environmental Upgrading and Restoration
The fusion of algebra, analysis and geometry, and their application to real world problems, have been dominant themes underlying mathematics for over a century. Geometric algebras, introduced and classified by Clifford in the late 19th century, have played a prominent role in this effort, as seen in the mathematical work of Cartan, Brauer, Weyl, Chevelley, Atiyah, and Bott, and in applications to physics in the work of Pauli, Dirac and others. One of the most important applications of geometric algebras to geometry is to the representation of groups of Euclidean and Minkowski rotations. This aspect and its direct relation to robotics and vision will be discussed in several chapters of this m...
Neural Machine Translation
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Cognitive Plausibility in Natural Language Processing
This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.
The Social Impact of Automating Translation
This collection critically examines the practical impacts of machine translation (MT) through the lens of an ethics of care. It addresses the ideological issues in MT development linked to social hierarchies and explores the transformative potential of care ethics for more equitable technological progress. The volume explores the ideological constructs behind MT as a labor-saving technology, how these constructs are embedded in both its development and social reception, and how they manifest in biased outputs. The chapters cover the cultural roots of translation automation, its legal and political implications, and the needs of various stakeholders. These stakeholders include lay users, Indi...
Urban Runoff Pollution
In most of the developed countries of the,World, significant efforts to control the pollution of surface waters have been underway for decades, and particularly the last 10-15 years. These efforts have focused mainly on eliminating or mitiga ting the effects of point sources of pollution. In many ca ses, however, it is clear that we have achieved only limited improvement in water quality, and that non-point sources of pollution are going to control any further improvement. It has long been known that urban runoff is a major non-point source, and much research has been done in an attempt to un derstand the mechanisms and processes which govern this source and to reduce or eliminate its impact...
Referring expression generation in context
Reference production, often termed Referring Expression Generation (REG) in computational linguistics, encompasses two distinct tasks: (1) one-shot REG, and (2) REG-in-context. One-shot REG explores which properties of a referent offer a unique description of it. In contrast, REG-in-context asks which (anaphoric) referring expressions are optimal at various points in discourse. This book offers a series of in-depth studies of the REG-in-context task. It thoroughly explores various aspects of the task such as corpus selection, computational methods, feature analysis, and evaluation techniques. The comparative study of different corpora highlights the pivotal role of corpus choice in REG-in-co...
Language Use and Linguistic Structure. Proceedings of the Olomouc Linguistic Colloquium 2023
The latest volume of OLINCO proceedings is a selected set of sixteen papers that grew from presentations at OLINCO 2023 - the international Olomouc Linguistics Colloquium held at Palacký University in June 2021. The papers collected here are unified by the topic of the colloquium: Language Use and Linguistic Structure, in that they all, in one way or the other, address the central questions of the study of human language. They all use standard scientific methodology and theory and solidly researched empirical evidence in favor of formalized structural representations of the language system.
Computational approaches to semantic change
Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Suc...
Challenges in Corpus Linguistics
This book contributes to the discussion of challenges faced in different areas of corpus linguistics, namely the compilation, annotation, and analysis of linguistic corpora. In a field of growing corpus sizes and expanding possibilities of gathering data, some old issues persist, while at the same time new problems have emerged. As the compilation and study of language corpora gets increasingly sophisticated and complex, continuous attention on ways of dealing with the data in question and challenges in text selection and interpretation is needed. The contributions to this volume address problems relating to a variety of areas in corpus linguistic study, including corpus annotation, data variability, learner language, social media texts, and database utilization. The authors provide critical overviews and research-based analyses, discuss the nature of some of the common pitfalls, and offer solutions to existing problems.
