Now in its second edition, this volume provides an up to date, accessible, yet authoritative introduction to feedback on second language writing for upper undergraduate and postgraduate students, teachers and researchers in TESOL, applied linguistics, composition studies and English for academic purposes (EAP). Chapters written by leading experts emphasise the potential that feedback has for helping to create a supportive teaching environment, for conveying and modelling ideas about good writing, for developing the ways students talk about writing, and for mediating the relationship between students' wider cultural and social worlds and their growing familiarity with new literacy practices. In addition to updated chapters from the first edition, this edition includes new chapters which focus on new and developing areas of feedback research including student engagement and participation with feedback, the links between SLA and feedback research, automated computer feedback and the use by students of internet resources and social media as feedback resources.

This handbook is the first to explore the growing field of experimental semantics and pragmatics. In the past 20 years, experimental data has become a major source of evidence for building theories of language meaning and use, encompassing a wide range of topics and methods. Following an introduction from the editors, the chapters in this volume offer an up-to-date account of research in the field spanning 31 different topics, including scalar implicatures, presuppositions, counterfactuals, quantification, metaphor, prosody, and politeness, as well as exploring how and why a particular experimental method is suitable for addressing a given theoretical debate. The volume's forward-looking approach also seeks to actively identify questions and methods that could be fruitfully combined in future experimental research. Written in a clear and accessible style, this handbook will appeal to students and scholars from advanced undergraduate level upwards in a range of fields, including semantics and pragmatics, philosophy of language, psycholinguistics, computational linguistics, cognitive science, and neuroscience.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

Metadata such as the hashtag is an important dimension of social media communication. Despite its important role in practices such as curating, tagging, and searching content, there has been little research into how meanings are made with social metadata. This book considers how hashtags have expanded their reach from an information-locating resource to an interpersonal resource for coordinating social relationships and expressing solidarity, affinity, and affiliation. It adopts a social semiotic perspective to investigate the communicative functions of hashtags in relation to both language and images. This book is a follow up to Zappavigna's 2012 model of ambient affiliation, providing an extended analytical framework for exploring how affiliation occurs, bond by bond, in online discourse. It focuses in particular on the communing function of hashtags in metacommentary and ridicule, using recent Twitter discourse about US President Donald Trump as a case study. It is essential reading for researchers as well as undergraduates studying social media on any academic course.

Introduces the two most common numerical methods for heat transfer and fluid dynamics equations, using clear and accessible language. This unique approach covers all necessary mathematical preliminaries at the beginning of the book for the reader to sail smoothly through the chapters. Students will work step-by-step through the most common benchmark heat transfer and fluid dynamics problems, firmly grounding themselves in how the governing equations are discretized, how boundary conditions are imposed, and how the resulting algebraic equations are solved. Providing a detailed discussion of the discretization steps and time approximations, and clearly presenting concepts of explicit and implicit formulations, this graduate textbook has everything an instructor needs to prepare students for their exams and future careers. Each illustrative example shows students how to draw comparisons between the results obtained using the two numerical methods, and at the end of each chapter they can test and extend their understanding by working through the problems provided. A solutions manual is also available for instructors.

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 online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.

**Shortlisted for the 2021 BAAL Book Prize for an outstanding book in the field of Applied Linguistics** Situated at the interface of corpus linguistics and health communication, Corpus, Discourse and Mental Health provides insights into the linguistic practices of members of three online support communities as they describe their experiences of living with and managing different mental health problems, including anorexia nervosa, depression and diabulimia. In examining contemporary health communication data, the book combines quantitative corpus linguistic methods with qualitative discourse analysis that draws upon recent theoretical insights from critical health sociology. Using this mixed-methods approach, the analysis identifies patterns and consistencies in the language used by people experiencing psychological distress and their role in realising varying representations of mental illness, diagnosis and treatment. Far from being neutral accounts of suffering and treating illness, corpus analysis illustrates that these interactions are suffused with moral and ideological tensions sufferers seek to collectively negotiate responsibility for the onset and treatment of recalcitrant mental health problems. Integrating corpus linguistics, critical discourse analysis and health sociology, this book showcases the capacity of linguistic analysis for understanding mental health discourse as well as critically exploring the potential of corpus linguistics to offer an evidence-based approach to health communication research.

This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh's closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.

"Conversation in Context" examines real-life speech data from the British National Corpus to show how language is used in natural conversation. The monograph describes the composition, annotation and transcription of the corpus, as well as providing a discussion of the methodology used in corpus analysis. The book uses a situational framework for conversation and argues that conversation is adapted to constraints set by the situation and to speaker needs arising from these constraints. Such a contextual view reveals a greater complexity to conversation construction than could have been anticipated without the use of corpus-based methods. This book will be of interest to academics researching corpus linguistics, discourse analysis and sociolinguistics.

This volume presents the latest research of an international group of scholars, engaged in the analysis of academic discourse from a genre-oriented perspective. The area covered by this volume is a central one, as in the last few years important developments in research on academic discourse have not only concerned the more traditional genres, but, as well, generic innovations promoted by the new technologies, employed both in the presentation of research results and in their dissemination to a wider community by means of popularising and teaching activities. These innovations have not only favoured important changes in existing genres and the creation of new ones to meet emerging needs of the academic community, but have also promoted a serious discussion about the construct of genre itself. The various investigations gathered in this volume provide several examples of the complexity and flexibility of genres, which have shown to be subject to a continuous tension between stability and change as well as between convention and innovation.

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.

Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for parameter estimation and model comparison/evaluation using benchmark data, to enable researchers to test their own models of retrieval against the present model. It also provides readers with an overview of the last 20 years of research on the topic of retrieval processes in sentence comprehension, along with source code that allows researchers to extend the model and carry out new research. Comprehensive in its scope, this book is essential reading for researchers in cognitive science.

This book focuses mainly on logical approaches to computational linguistics, but also discusses integrations with other approaches, presenting both classic and newly emerging theories and applications.Decades of research on theoretical work and practical applications have demonstrated that computational linguistics is a distinctively interdisciplinary area. There is convincing evidence that computational approaches to linguistics can benefit from research on the nature of human language, including from the perspective of its evolution. This book addresses various topics in computational theories of human language, covering grammar, syntax, and semantics. The common thread running through the research presented is the role of computer science, mathematical logic and other subjects of mathematics in computational linguistics and natural language processing (NLP). Promoting intelligent approaches to artificial intelligence (AI) and NLP, the book is intended for researchers and graduate students in the field.

This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book's goal is to allow readers to select one or more of these methods to quickly apply to their own tasks. Includes a variety of machine intelligent technologies and illustrates how they can work together Shows evolutionary feature subset selection combined with support vector machines and multiple classifiers combined Includes a running case study on intelligent processing relating to Alzheimer's / dementia detection, in addition to several applications of the machine hybrid algorithms

The general focus of this book is on multimodal communication, which captures the temporal patterns of behavior in various dialogue settings. After an overview of current theoretical models of verbal and nonverbal communication cues, it presents studies on a range of related topics: paraverbal behavior patterns in the classroom setting; a proposed optimal methodology for conversational analysis; a study of time and mood at work; an experiment on the dynamics of multimodal interaction from the observer's perspective; formal cues of uncertainty in conversation; how machines can know we understand them; and detecting topic changes using neural network techniques. A joint work bringing together psychologists, communication scientists, information scientists and linguists, the book will be of interest to those working on a wide range of applications from industry to home, and from health to security, with the main goals of revealing, embedding and implementing a rich spectrum of information on human behavior.

This pioneering volume lays out a set of methodological principles to guide the description of interpersonal grammar in different languages. It compares interpersonal systems and structures across a range of world languages, showing how discourse, interpersonal relationships between the speakers, and the purpose of their communication, all play a role in shaping the grammatical structures used in interaction. Following an introduction setting out these principles, each chapter focuses on a particular language - Khorchin Mongolian, Mandarin, Tagalog, Pitjantjatjara, Spanish, Brazilian Portuguese, British Sign Language and Scottish Gaelic - and explores mood, polarity, tagging, vocation, assessment and comment systems. The book provides a model for functional grammatical description that can be used to inform work on system and structure across languages as a foundation for functional language typology.

Empirical translation studies is a rapidly evolving research area. This volume, written by world-leading researchers, demonstrates the integration of two new research paradigms: socially-oriented and data driven approaches to empirical translation studies. These two models expand current translation studies and stimulate reader debates around how development of quantitative research methods and integration with advances in translation technologies would significantly increase the research capacities of translation studies. Highly engaging, the volume pioneers the development of socially-oriented innovative research methods to enhance the current research capacities of theoretical (descriptive) translation studies in order to tackle real-life research issues, such as environmental protection and multicultural health promotion. Illustrative case studies are used, bringing insight into advanced research methodologies of designing, developing and analysing large scale digital databases for multilingual and/or translation research.

This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters - one on mixed-effects modeling, one on classification and regression trees as well as random forests - plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.

Contents: Barbara Lewandowska-Tomaszczyk: PALC 2007: Where are we now? - Paul Rayson/Dawn Archer/Alistair Baron/Nicholas Smith: Travelling through time with corpus annotation software - Eugene H. Casad: Parsing texts and compiling a dictionary with shoebox - Belinda Maia/Rui Silva/Anabela Barreiro/Cecilia Frois: 'N-grams in search of theories' - Piotr Pezik/Jung-jae Kim/Dietrich Rebholz-Schuhmann: MedEvi - A permuted concordancer for the biomedical domain - Patrick Hanks: Why the "word sense disambiguation problem" can't be solved, and what should be done instead - Rafal

This book builds on decades of research and provides contemporary theoretical foundations for practical applications to intelligent technologies and advances in artificial intelligence (AI). Reflecting the growing realization that computational models of human reasoning and interactions can be improved by integrating heterogeneous information resources and AI techniques, its ultimate goal is to promote integrated computational approaches to intelligent computerized systems. The book covers a range of interrelated topics, in particular, computational reasoning, language, syntax, semantics, memory, and context information. The respective chapters use and develop logically oriented methods and techniques, and the topics selected are from those areas of logic that contribute to AI and provide its mathematical foundations. The intended readership includes researchers working in the areas of traditional logical foundations, and on new approaches to intelligent computational systems.

Methods for studying writing processes have significantly developed over the last two decades. The rapid development of software tools which support the collection together with the display and analysis of writing process data and new input from various neighboring disciplines contribute to an increasingly detailed knowledge acquisition about the complex cognitive processes of writing. This volume, which focuses on research methods, mixed methods designs, conceptual considerations of writing process research, interdisciplinary research influences and the application of research methods in educational settings, provides an insight into the current status of the methodological development of writing process research in Europe.

The ubiquity of mobile devices has opened the way to extending learning environments far beyond the constraints of the traditional foreign language classroom. This book seeks to advance the knowledge about effective learning and teaching of English for Medical Purposes supported by mobile environments. The author investigates the effectiveness of the use of a mobile version of a flashcard spaced-repetition learning platform. In conclusion, she presents core principles of an educational solution that supports the ongoing and situated learning of English for Medical Purposes by designing a mobile spaced-repetition medical vocabulary tutor ("Mobile Medical English Companion").

This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.