Statistical Language Learning

Transformative learning has been widely used in the field of adult education for over twenty years, but until recently has received little attention in the field of world languages. Drawing on best practices and the research of distinguished international world language experts, this volume provides theoretical and classroom-tested models of transformative education in world languages at major university, state and governmental programs. Chapters outline theoretical frameworks and detail successful models from cutting-edge programs in a wide range of languages, with plenty of examples included to make the theory accessible to readers not yet familiar with the concepts. Classroom teachers, program administrators and faculty developers at every level of instruction will find support for their courses. With its innovative approach to the teaching and learning of languages, this volume is a seminal text in transformative language learning that will stimulate discussions and innovation in t

Transformative learning has been widely used in the field of adult education for over twenty years, but until recently has received little attention in the field of world languages. Drawing on best practices and the research of distinguished international world language experts, this volume provides theoretical and classroom-tested models of transformative education in world languages at major university, state and governmental programs. Chapters outline theoretical frameworks and detail successful models from cutting-edge programs in a wide range of languages, with plenty of examples included to make the theory accessible to readers not yet familiar with the concepts. Classroom teachers, program administrators and faculty developers at every level of instruction will find support for their courses. With its innovative approach to the teaching and learning of languages, this volume is a seminal text in transformative language learning that will stimulate discussions and innovation in t

Sociocultural research has long recognized the necessity of sustained interpersonal interaction for language development. However, less is known about the underlying relationships that promote languag

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

Bringing together an international team of researchers, this volume explores practice in second language learning - activities which aim to develop skills in or knowledge of a second language. The book begins with two theoretical overviews of practice as applied to learning to speak in a second language and in cognitive accounts of second language acquisition. This theory underpins the volume, which is split into two main sections: receptive and productive practice. The studies look at practice in English, German and Spanish as a second language in various contexts including traditional classrooms, periods of study abroad and online language learning. The differing research designs used mean that the chapters contain clear implications for classroom pedagogy and further directions for research, teaching and learning in different contexts.

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

The use of literature in second language teaching has been advocated for a number of years, yet despite this there have only been a limited number of studies which have sought to investigate its effects. Fewer still have focused on its potential effects as a model of spoken language or as a vehicle to develop speaking skills. Drawing upon multiple research studies, this volume fills that gap to explore how literature is used to develop speaking skills in second language learners. The volume is divided into two sections: literature and spoken language and literature and speaking skills. The first section focuses on studies exploring the use of literature to raise awareness of spoken language features, whilst the second investigates its potential as a vehicle to develop speaking skills. Each section contains studies with different designs and in various contexts including China, Japan and the UK. The research designs used mean that the chapters contain clear implications for classroom pe

This book presents a comprehensive and detailed study of literacy practices and language use outside of the classroom by university students of Japanese. It investigates both tasks related to classes

Providing a comprehensive survey of cutting-edge work on second language learning, this Handbook, written by a team of leading experts, surveys the nature of second language learning and its implications for teaching. Prominent theories and methods from linguistics, psycholinguistics, processing-based, and cognitive approaches are covered and organised thematically across sections dealing with skill development, individual differences, pedagogical interventions and approaches, and context and environment. This state-of-the-art volume will interest researchers in second language studies and language education, and will also reach out to advanced undergraduate and graduate students in these and other related areas.

Written by a team of leading experts working in different SLA specialisms, this fourth edition is a clear and concise introduction to the main theories of second language acquisition (SLA) from multip

This book presents a study of literacy practices and language use of students of Japanese outside of the classroom, both in class-related and voluntary activities. It discusses how values, motivations

Written by a team of leading experts working in different SLA specialisms, this fourth edition is a clear and concise introduction to the main theories of second language acquisition (SLA) from multip

This book shows how technology enriches multilingual language learning and how multilingual practices enrich computer assisted language learning. Chapters illustrate how languages are activated throug

This book shows how technology enriches multilingual language learning and how multilingual practices enrich computer assisted language learning. Chapters illustrate how languages are activated throug

This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or und

This book explores the functions and potential of translation in language learning. It demonstrates that despite its changing fortunes in the history of foreign language teaching, translation has a pr

The Open Access version of this book, available at https://www.taylorfrancis.com/books/e/9781351049139, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 l