Contemporary Computer-Assisted Language Learning

Penguin Readers is an ELT graded reader series for learners of English as a foreign language. With carefully adapted text, new illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content.The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills. Before, during and after-reading questions test readers' story comprehension and develop vocabulary.Mrs Dalloway, a Level 7 Reader, is B2 in the CEFR framework. The longer text is made up of sentences with up to four clauses, introducing future perfect simple, mixed conditionals, past perfect continuous, mixed conditionals, more complex

Penguin Readers is an ELT graded reader series for learners of English as a foreign language. With carefully adapted text, new illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content.The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills. Before, during and after-reading questions test readers' story comprehension and develop vocabulary.One of Us Is Lying, a Level 6 Reader, is B1+ in the CEFR framework. The longer text is made up of sentences with up to four clauses, introducing future continuous, reported questions, third conditional, was going to and ellipsis. A small

Penguin Readers is an ELT graded reader series for learners of English as a foreign language. With carefully adapted text, new illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content.The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills. Before, during and after-reading questions test readers' story comprehension and develop vocabulary.Digital Minimalism, a Level 7 Reader, is B2 in the CEFR framework. The longer text is made up of sentences with up to four clauses, introducing future perfect simple, mixed conditionals, past perfect continuous, mixed conditionals, more c

Which language should philosophers use: technical or common language? In a book as important for intellectual historians as it is for philosophers, Lodi Nauta addresses a vital question which still has resonance today: is the discipline of philosophy assisted or disadvantaged by employing a special vocabulary? By the Middle Ages philosophy had become a highly technical discipline, with its own lexicon and methods. The Renaissance humanist critique of this specialised language has been dismissed as philosophically superficial, but the author demonstrates that it makes a crucial point: it is through the misuse of language that philosophical problems arise. He charts the influence of this critique on early modern philosophers, including Hobbes and Locke, and shows how it led to the downfall of medieval Aristotelianism and the gradual democratization of language and knowledge. His book will be essential reading for anyone interested in the transition from medieval to modern philosophy.

Penguin Readers is an ELT graded reader series for learners of English as a foreign language. With carefully adapted text, new illustrations and language learning exercises, the print edition also includes instructions to access supporting material online. Titles include popular classics, exciting contemporary fiction, and thought-provoking non-fiction, introducing language learners to bestselling authors and compelling content.The eight levels of Penguin Readers follow the Common European Framework of Reference for language learning (CEFR). Exercises at the back of each Reader help language learners to practise grammar, vocabulary, and key exam skills. Before, during and after-reading questions test readers' story comprehension and develop vocabulary.Visit the Penguin Readers websiteExclusively with the print edition, readers can unlock online resources including a digital book, audio edition, lesson plans and answer keys. Eleven-year-old Anne has no parents, and she goes to live with

In the first decade of life, children become bilingual in different language learning environments. Many children start learning two languages from birth (Bilingual First Language Acquisition). In early childhood hitherto monolingual children start hearing a second language through daycare or preschool (Early Second Language Acquisition). Yet other hitherto monolingual children in middle childhood may acquire a second language only after entering school (Second Language Acquisition). This Element explains how these different language learning settings dynamically affect bilingual children's language learning trajectories. All children eventually learn to speak the societal language, but they often do not learn to fluently speak their non-societal language and may even stop speaking it. Children's and families' harmonious bilingualism is threatened if bilingual children do not develop high proficiency in both languages. Educational institutions and parental conversational practices play

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

Natural language generation (NLG) is the process wherein computers produce output in readable human languages. Such output takes many forms, including news articles, sports reports, prose fiction, and poetry. These computer-generated texts are often indistinguishable from human-written texts, and they are increasingly prevalent. NLG is here, and it is everywhere. However, readers are often unaware that what they are reading has been computer-generated. This Element considers how NLG conforms to and confronts traditional understandings of authorship and what it means to be a reader. It argues that conventional conceptions of authorship, as well as of reader responsibility, change in instances of NLG. What is the social value of a computer-generated text? What does NLG mean for modern writing, publishing, and reading practices? Can an NLG system be considered an author? This Element explores such question, while presenting a theoretical basis for future studies.

The world of machine learning is changing all the time. It is so amazing the idea that we are able to take a computer and let it learn as it goes. Without having to write out all of the codes that we need for every situation out there or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own.This guidebook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. When you are interested in learning more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you Some of the topics that we will explore when we go through this guidebook will include: Understanding some of the basics of machine learning;Some of the different parts tha

This volume offers a historical and critical analysis of the emerging field of the learning sciences, which takes an interdisciplinary approach to understanding and improving how children and adults learn. It features a wide range of authors, including established scholars who founded and guided the learning sciences through the initial turbulence of forming a new line of academic inquiry, as well as newcomers who are continuing to shape the field. This diversity allows for a broad yet selective perspective on what the learning sciences are, why they came to be, and how contributors conduct their work. Reflections on the Learning Sciences serves both as a starting point for discussion among scholars familiar with the discipline and as an introduction for those interested in learning more. It will benefit graduate students and researchers in computer science, educational psychology, instructional technology, science, engineering, and mathematics.

Topics in this volume include: foundations and principles; teaching the proccesses of language arts; teaching the content of language arts; and connecting teaching and learning.

Timothy G. Reagan and Terry A. Osborn address major issues facing the world language educator today, including language myths, advocacy, the perceived and real benefits of language learning, linguisti

Timothy G. Reagan and Terry A. Osborn address major issues facing the world language educator today, including language myths, advocacy, the perceived and real benefits of language learning, linguisti

It is a well-known fact that some adult second language learners learn more rapidly and/or to a higher level of proficiency than others. Some of these individual differences have been linked to differences in cognitive and perceptual abilities under the umbrella term of 'language aptitude'. The notion of language aptitude has undergone recent developments, one of which is the proposal that language aptitude includes cognitive abilities that involve implicit processes and that are advantageous in learning a language without awareness. This Element defines implicit language aptitude, examines tasks that can be used to measure implicit language aptitude, and provides an overview of relevant research in this area.

Equine-Assisted Counseling and Psychotherapy offers a comprehensive guide to the practice of working with equines in a psychotherapeutic setting.

Equine-Assisted Counseling and Psychotherapy offers a comprehensive guide to the practice of working with equines in a psychotherapeutic setting.

Advances in computer graphic technologies have inspired new efforts to understand the potential of multimedia instruction as a means of promoting human learning. In Multimedia Learning, Third Edition, Richard E. Mayer takes an evidence-based approach to improving education using well-designed multimedia instruction. He reviews 15 principles of multimedia instructional design that are based on more than 200 experimental research studies and grounded in a cognitive theory of how people learn from words and graphics. The result is the latest instalment of what Mayer calls the Cognitive Theory of Multimedia Learning, a theory introduced in previous editions of Multimedia Learning and in The Cambridge Handbook of Multimedia Learning, Second Edition. This edition provides an up-to-date and systematic summary of research studies on multimedia learning, supplemented with complementary evidence from around the globe. It is well-suited to graduate and undergraduate courses in psychology, educati

Advances in computer graphic technologies have inspired new efforts to understand the potential of multimedia instruction as a means of promoting human learning. In Multimedia Learning, Third Edition, Richard E. Mayer takes an evidence-based approach to improving education using well-designed multimedia instruction. He reviews 15 principles of multimedia instructional design that are based on more than 200 experimental research studies and grounded in a cognitive theory of how people learn from words and graphics. The result is the latest instalment of what Mayer calls the Cognitive Theory of Multimedia Learning, a theory introduced in previous editions of Multimedia Learning and in The Cambridge Handbook of Multimedia Learning, Second Edition. This edition provides an up-to-date and systematic summary of research studies on multimedia learning, supplemented with complementary evidence from around the globe. It is well-suited to graduate and undergraduate courses in psychology, educati

Do your students struggle to see the point in learning a language other than English? Do you teach in an English-dominant setting? If so, this book is a 'must-read'. It offers international perspectives on CLIL, a revolutionary teaching approach where students study subjects, for example physics or history, in a language which is not their own. Informed by research carried out by the authors, it addresses the issues of developing CLIL in Anglophone contexts and shows how to implement this method of language learning successfully in the reality of the classroom. Through three key themes, sustainability, pedagogy and social justice, each author explores CLIL as a means of addressing the high levels of cultural diversity and socio-economic disparity in Anglophone-dominant settings. Authored by experts in the field, it offers a set of flexible teaching tools, which serve to combine language and content, ultimately enhancing the learning experience of students.

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.

Around the world, children embark on learning to read in their home language or writing system. But does their specific language, and how it is written, make a difference to how they learn? How is learning to read English similar to or different from learning in other languages? Is reading alphabetic writing a different challenge from reading syllabic or logographic writing? Learning to Read across Languages and Writing Systems examines these questions across seventeen languages representing the world's different major writing systems. Each chapter highlights the key features of a specific language, exploring research on learning to read, spell, and comprehend it, and on implications for education. The editors' introduction describes the global spread of reading and provides a theoretical framework, including operating principles for learning to read. The editors' final chapter draws conclusions about cross-linguistic universal trends, and the challenges posed by specific languages and

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

Classrooms are dynamic spaces of teaching and learning, where language and culture are intertwined in remarkable ways. The theory of language socialization explores how sociocultural practices in classrooms help to shape language learning and development. This collection is the first of its kind to bring together research on this fascinating concept. It presents ten case studies, based on linguistic and ethnographic research conducted in classrooms located within communities in North America, Europe and India, spanning learners from preschool, to primary and secondary school, to university. Following an introduction that discusses the theory and core concepts of language socialization, the volume is divided into three central themes: socializing values, dispositions, and stances; socializing identities; and language socialization and ideology. Both new and more experienced researchers will appreciate its new insights into how language socialization is carried out across the globe.

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners.Coding skills are in high demand and the need for programmers is still growing. Howe

A vigorous response to the challenges of incorporating computer use into the teaching and learning of stochastic processes, this book takes an applications- and computer-oriented approach rather than

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learnin

Computers touch our lives everyday, in countless ways, but how do they know what to do? How do we communicate with them and they with each other? Language! Grace Hopper was a pioneer in computer progr

Using Figurative Language presents results from a multidisciplinary decades-long study of figurative language that addresses the question, 'Why don't people just say what they mean?' This research empirically investigates goals speakers or writers have when speaking (writing) figuratively, and concomitantly, meaning effects wrought by figurative language usage. These 'pragmatic effects' arise from many kinds of figurative language including metaphors (e.g. 'This computer is a dinosaur'), verbal irony (e.g. 'Nice place you got here'), idioms (e.g. 'Bite the bullet'), proverbs (e.g. 'Don't put all your eggs in one basket') and others. Reviewed studies explore mechanisms - linguistic, psychological, social and others - underlying pragmatic effects, some traced to basic processes embedded in human sensory, perceptual, embodied, cognitive, social and schematic functioning. The book should interest readers, researchers and scholars in fields beyond psychology, linguistics and philosophy that

This book investigates both the theoretical and practical aspects of teacher education for early language teachers. The chapters focus on the complexity of teacher learning, innovations in mentoring a

This book investigates both the theoretical and practical aspects of teacher education for early language teachers. The chapters focus on the complexity of teacher learning, innovations in mentoring a

Embedded Systems: A Contemporary Design Tool, Second EditionEmbedded systems are one of the foundational elements of today’s evolving and growing computer technology. From operating our cars, ma

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentati

For courses in medical terminology. An immersive deep-dive into medical terminology Medical Language: Immerse Yourself is grounded in immersive language learning. Rather than memorizing vocabulary,

This text considers contemporary China’s language ideology and how it supports China as a rising global power player. It examines the materialization of this ideology as China’s language order unfolds

This book offers a comprehensive examination of the theory, research, and practice of the use of digital games in second and foreign language teaching and learning (L2TL). It explores how to harness t

This book explores the motivations of adult second language learners in continuing education settings. It focuses on their learning trajectories and related dynamics of identity development and will b

Language teachers' competencies in computer-assisted language learning (CALL) are a crucial factor affecting their own implementation of CALL. However, there is still a concern that many language teac