Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Part I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Part II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.
Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Section II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.
This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the evaluation of performance-based writing assessments and recent advances in the teaching of writing, language testing, cognitive psychology, and computational linguistics. This greatly expanded follow-up to Automated Essay Scoring reflects the numerous advances that have taken place in the field since 2003 including automated essay scoring and diagnostic feedback. Each chapter features a common structure including an introduction and a conclusion. Ideas for diagnostic and evaluative feedback are sprinkled throughout the book. Highlights of the book’s coverage include: The latest research on automated essay evaluation. Descriptions of the major scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM Engine, c-raterTM, and LightSIDE. Applications of the uses of the technology including a large scale system used in West Virginia. A systematic framework for evaluating research and technological results. Descriptions of AEE methods that can be replicated for languages other than English as seen in the example from China. Chapters from key researchers in the field. The book opens with an introduction to AEEs and a review of the "best practices" of teaching writing along with tips on the use of automated analysis in the classroom. Next the book highlights the capabilities and applications of several scoring engines including the E-rater®, the Intelligent Essay Assessor, the IntellimetricTM engine, c-raterTM, and LightSIDE. Here readers will find an actual application of the use of an AEE in West Virginia, psychometric issues related to AEEs such as validity, reliability, and scaling, and the use of automated scoring to detect reader drift, grammatical errors, discourse coherence quality, and the impact of human rating on AEEs. A review of the cognitive foundations underlying methods used in AEE is also provided. The book concludes with a comparison of the various AEE systems and speculation about the future of the field in light of current educational policy. Ideal for educators, professionals, curriculum specialists, and administrators responsible for developing writing programs or distance learning curricula, those who teach using AEE technologies, policy makers, and researchers in education, writing, psychometrics, cognitive psychology, and computational linguistics, this book also serves as a reference for graduate courses on automated essay evaluation taught in education, computer science, language, linguistics, and cognitive psychology.
Exploring speeches by public figures such as Emma Watson, Tony Blair, Donald Trump, Julia Gillard and Lady Gaga, this engaging textbook explains the ways in which political speeches can be analysed. It examines the role of language in speeches and how it can be used to challenge or reinforce prevailing social, cultural and political attitudes. Each chapter introduces a particular discourse approach and then applies this in a model analysis of a passage of text. The chosen texts concern issues of social, cultural and political importance that address topics of significant importance to the audience to which they were delivered. Students are encouraged to engage with the text and consider how approaches to text analysis, such as cohesion, context analysis and metaphor analysis, may be adapted to provide a more critical perspective. This text will be essential reading for students of English language, linguistics, communication studies and politics on critical discourse and discourse analysis modules.
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
This Handbook is a comprehensive overview of the multidisciplinary field of discourse processes. The editors hope to foster a more interdisciplinary approach to discourse processing with this Handbook, while simultaneously developing an appreciation within the field for multiple methods of establishing rigorous scientific claims. The field of discourse processes is currently fueled by seven dominant approaches: * discourse psychology; * corpus analysis; * computational discourse; * discourse technologies; * conversation analysis; * hybrid qualitative and quantitative approaches; and * cultural foundations. The contributors also discuss future trends in research, including corpus analyses, the integration of neuroscience with discourse research, and the development of more advanced computer technologies for analyzing discourse.
This book comprises the proceedings of the International Perm Forum “Science and Global Challenges of the 21st Century” held on October 18th – 23rd, 2021, at Perm State University, Perm, Russia. Global challenges, which determine the main trends in the development of social and economic life in the XXI century, require the integration of specialists in various fields of knowledge. That is why the main principle of this edition is interdisciplinarity, the formation of end-to-end innovation chains, including fundamental and applied research, and the wide application of smart innovations, networks, and information technologies. The authors seek to find synergy between technologies and such fields as computer science, geosciences, biology, linguistics, social studies, historical studies, and economics. The book is of interest to researchers seeking nontrivial solutions at the interface of sciences, digital humanities, computational linguistics, cognitive studies, machine learning, and others.
Includes chapters on key aspects of second language assessment such as test construct, diagnosis, exam design, and the growing range of public policy, social and ethical issues. Each of the contributors is an expert in their area; some are established names while others are talented newcomers to the field. The chapters present new research or perspectives on traditional concerns such as test quality; fairness and bias; the testing of different language skills; the needs of different groups of examinees, including English language learners who need to take content tests in English; and the use of language assessments for gate-keeping purposes. The volume demonstrates how language assessment is informed by and engages with neighbouring areas of applied linguistics such as technology and language corpora. The book represents the best of current practice in second language assessment and, as a one volume reference, will be invaluable to students and researchers looking for material that extends their understanding of the field.
