Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Developmental, Modal, and Pathological Variation — Linguistic and Cognitive Profiles for Speakers of Linguistically Proximal Languages and Varieties
One significant area of research in the multifaceted field of bilingualism over the past two decades has been the demonstration, validation, and account of the so-called ‘bilingual advantage’. This refers to the hypothesis that bilingual speakers have advanced abilities in executive functions and other domains of human cognition. Such cognitive benefits of bilingualism have an impact on the processing mechanisms active during language acquisition in a way that results in language variation. Within bilingual populations, the notion of language proximity (or linguistic distance) is also of key importance for deriving variation. In addition, sociolinguistic factors can invest the process of...
Discourse Processing
Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks. We first explore some ways of assigning structure on the document level: the logical document structure as determined by the layout of the text, its genre-specific content structure, and its breakdown into topical segments. Then the focus moves to phenomena of local coherence. We introduce the problem of coreference and look at methods for building chains of coreferring entities in the text. Next, the notion of coherence relation is introduced as the second important factor of local coherence. We study the role of c...
Innovative Practices in Teaching Information Sciences and Technology
University teaching and learning has never been more innovative than it is now. This has been enabled by a better contemporary understanding of teaching and learning. Instructors now present situated projects and practices to their students, not just foundational principles. Lectures and structured practice are now often replaced by engaging and constructivist learning activities that leverage what students know about, think about and care about. Teaching innovation has also been enabled by online learning in the classroom, beyond the classroom and beyond the campus. Learning online is perhaps not the panacea sometimes asserted but it is a disruptively rich and expanding set of tools and tec...
Expertise and Skill Acquisition
The research on human expertise and complex skill acquisition that Wlliam G. Chase performed in the decade between publication of the classic chess studies he conducted with Herb Simon in 1973 and his untimely and tragic death has proven profoundly influential and enduring. Its impact spans disciplines that include Psychology, Computer Science, Education, Cognitive Neuroscience, Medicine, and Human Factors. It has contributed significantly to the emergence of Cognitive Engineering and has led to significant applications in the areas of training and instruction and knowledge-based "intelligent" computational systems. Its influence can be seen in current discussions of intelligence, heritability, intellectual potential, and achievement found in the contemporary popular press. The chapters in this volume document the enduring scientific contributions of William G. Chase to current knowledge and understanding of human expertise and skill acquisition and applications his work has supported. It will be of interest to those researching, studying, and working in the multiple fields that were greatly influenced by Chase's work.
Empirical Approaches to Linguistic Theory
The mental representation of language cannot be directly observed but must be inferred and modelled from its effects at second hand. Linguists have traditionally responded to this in two ways, either going for a fairly data-light approach and valuing theoretical creativity, or pursuing just those goals for which data is available and trusting to data-driven descriptive work. More recently, advances in technology and experimental techniques have made data gathering easier and more accessible, so that a theoretically informed but empirically based approach is rapidly growing in popularity. This synthesis permits linguists to combine the intellectual hypothesis generation of the theoreticians with the ability to deliver hard answers of the empiricist. This volume is a collection of papers in this direction, using mostly experiment methods to yield insights into syntactic and semantic structures, language processing, and acquisition. Papers report corpus data, neurological investigations, child language studies, and fieldwork from minority languages.
Approaches to Language: Data, Theory, and Explanation
The study of language has changed substantially in the last decades. In particular, the development of new technologies has allowed the emergence of new experimental techniques which complement more traditional approaches to data in linguistics (like informal reports of native speakers’ judgments, surveys, corpus studies, or fieldwork). This move is an enriching feature of contemporary linguistics, allowing for a better understanding of a phenomenon as complex as natural language, where all sorts of factors (internal and external to the individual) interact (Chomsky 2005). This has generated some sort of divergence not only in research approaches, but also in the phenomena studied, with an...
Social, Cultural, and Behavioral Modeling
This book constitutes the proceedings of the 12th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2019, held in Washington, DC, USA, in July 2019. The total of 28 papers presented in this volume was carefully reviewed and selected from 72 submissions. The papers in this volume show, people, theories, methods and data from a wide number of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used include, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.
Dishonest Behavior: From Theory to Practice
The rapidly growing field of behavioral ethics shows that dishonest acts are highly prevalent in all walks of life, from corruption among politicians through flagrant cases of doping in sports, to everyday slips and misdemeanors of ordinary people who nevertheless perceive themselves as highly moral. When considered cumulatively, these seemingly innocuous and ordinary unethical behaviors cause considerable societal damage and add up to billions of dollars annually. Research in behavioral ethics has made tremendous advances in characterizing many contextual and social factors that promote or hinder dishonesty. These findings have prompted the development of interventions to curb dishonesty and to help individuals become more committed to ethical standards. The current e-book includes studies that test and advance current theory and deepen our understanding of the cognitive and physiological processes underlying dishonest behavior, discuss possible implications of findings in behavioral ethics research for real life situations, document dishonest behavior in the field and/or directly examines interventions to reduce it.
Social, Cultural, and Behavioral Modeling
This book constitutes the refereed proceedings of the 10th International Conference on Social, Cultural, and Behavioral Modeling & Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2017, held in Washington, DC, USA, in July 2017. The 16 full papers and 27 short papers presented were carefully reviewed and selected from 79 submissions. Owing to its strong multi-disciplinary heritage, the papers represent a large range of disciplines including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science and use numerous types of computational methods such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics. They are organized in the following topical sections: behavioral and social sciences; cyber and intelligence applications; information, systems, and network sciences; and methodology.
