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Comprehension [Grades K-12]: The Skill, Will, and Thrill of Reading (Corwin Literacy)
by Douglas Fisher Nancy Frey Nicole V. LawRadically change the way students learn from texts, extending beyond comprehension to critical reasoning and problem solving. Is your reading comprehension instruction just a pile of strategies? There is no evidence that teaching one strategy at a time, especially with pieces of text that require that readers use a variety of strategies to successfully negotiate meaning, is effective. And how can we extend comprehension beyond simple meaning? Bestselling authors Douglas Fisher, Nancy Frey, and Nicole Law propose a new, comprehensive model of reading instruction that goes beyond teaching skills to fostering engagement and motivation. Using a structured, three-pronged approach—skill, will, and thrill—students learn to experience reading as a purposeful act and embrace struggle as a natural part of the reading process. Instruction occurs in three phases: Skill. Holistically developing skills and strategies necessary for students to comprehend text, such as monitoring, predicting, summarizing, questioning, and inferring. Will. Creating the mindsets, motivations, and habits, including goal setting and choice, necessary for students to engage fully with texts. Thrill. Fostering the thrill of comprehension, so that students share their thinking with others or use their knowledge for something else. Comprehension is the structured framework you need to empower students to comprehend text and take action in the world.
Comprehension Instruction, Second Edition
by Cathy Collins Block Sheri ParrisThis comprehensive professional resource and text is based on cutting-edge research. In each chapter, leading scholars provide an overview of a particular aspect of comprehension, offer best-practice instructional guidelines and policy recommendations, present key research questions still to be answered, and conclude with stimulating questions for individual study or discussion. Coverage includes such timely topics as differentiated instruction, technology and reading comprehension, teaching English language learners, and the implications of current neuroscientific findings.
Comprehension Instruction, Third Edition
by Sheri R. Parris Kathy Headley Lesley Mandel MorrowAll key issues of research and practice in comprehension instruction are addressed in this highly regarded professional resource and course text. Leading scholars examine the processes that enable students to make meaning from what they read--and how this knowledge can be applied to improve teaching at all grade levels. Best practices for meeting the needs of diverse elementary and secondary students are identified. Essential topics include strategies for comprehending different types of texts, the impact of the Common Core State Standards (CCSS), cutting-edge assessment approaches, and the growing importance of digital genres and multimodal literacies. User-friendly features include end-of-chapter discussion questions. New to This Edition *Incorporates the latest research and instructional practices. *Chapters on the CCSS, critical theory, culturally responsive instruction, and response to intervention. *Chapters on teaching fiction and informational texts in the secondary grades. *Expanded coverage of multimodal literacy learning. *Timely topics such as text complexity, close reading, digital literacies, and neuroscience are discussed in multiple chapters.
Comprehension Processes in Reading
by D. A. Balota G. B. Flores d’Arcais K. RaynerComprehension Processes in Reading addresses the interrelationship among several areas relevant to understanding how people comprehend text. The contributors focus on the on-line processes associated with text understanding rather than simply with the product of that comprehension -- what people remember from reading. Presenting the latest theories and research findings from a distinguished group of contributors, Comprehension Processes in Reading is divided into four major sections. Each section, concluding with a commentary chapter, discusses a different aspect of reader understanding or dysfunction such as individual word comprehension, sentence parsing, text comprehension, and comprehension failures and dyslexia .
Comprehension Skills: Sequence (Level D)
by Linda Ward Beech Tar A Mccarthy Donna TownsendIf several things happen in a story, they happen in a sequence. This book asks questions about sequence in stories and helps in looking for time words.
Comprehension Skills: Main Idea, Level D
by Linda Ward Beech Tara Mccarthy Donna TownsendThis book asks you to find the main idea of paragraphs and has 25 units with 5 stories in each unit providing Hints for Better Reading, Challenge Yourself and Writing.
Comprehension Skills: Facts (Level D)
by Linda Ward Beech Tara Mccarthy Donna TownsendThis book asks questions about facts in stories.The stories will have the answers one needs for the questions.
Comprehension Skills: Inference (Level D)
by The Editors at the Steck-VaughnAn inference is a guess you make after thinking about what you already know. In this book the readers will make inferences about stories.
Comprehension Strategies for Your K-6 Literacy Classroom: Thinking Before, During, and After Reading
by Divonna M. Stebick Joy M. DainCombining theory with classroom research, this research-based handbook clearly illustrates how teachers can effectively use six critical strategies to enhance students' reading comprehension.
Comprehension Strategies in the Acquiring of a Second Language
by Harris WinitzThis book provides a critical analysis and account of the development of the Comprehension Approach as a method for language learning. The author draws on interrelated sub-fields - including linguistic theory, child language acquisition, and educational technology - to examine how a comprehension-based strategy could have pedagogical potential for adult second language learning. While second language pedagogy has to date been dominated by production models, this book takes another look at the Comprehension Approach as a possible alternative, presenting results from both child first language and adult second language contexts. It will be of interest to psycholinguistics and applied linguistics scholars, particularly those with an interest in second language teaching and learning.
Comprehension Through Conversation: The Power of Purposeful Talk in the Reading Workshop (CrossCurrents Series)
by Richard L Allington Maria NicholsComprehension Through Conversation: The Power of Purposeful Talk in the Reading Workshop (CrossCurrents Series) 1st Edition
A Comprehensive and Comparative Grammar of English Creoles
by Anand SyeaA Comprehensive and Comparative Grammar of English Creoles provides a detailed, comprehensive description of the morphology, grammar, and syntax of a selected number of English creoles, including those spoken on both sides of the Atlantic and the Pacific. This book: • Focuses on a number of traditional grammatical categories to provide a comprehensive description and discussion of these languages; • Identifies not only how creoles differ from their lexifier, but also how they differ from one another; • Provides effective comparative descriptions to enable an insightful understanding of language evolution. This book will be ideal supplementary reading for students and researchers of linguistics, and will particularly appeal to those with an interest in descriptive linguistics, historical linguistics, World Englishes, contact and creole linguistics, and language policy and planning.
A Comprehensive Study of Tang Poetry I (China Perspectives)
by Lin GengTang poetry is one of the most valuable cultural inheritances of Chinese history. Its distinctive aesthetics, delicate language, and diverse styles constitute great literature in itself, as well as a rich topic for literary study. This two-volume set constitutes a classic analysis of Tang poetry in the “Golden Age” of Chinese poetry (618–907 CE). In this volume, the author provides a general understanding of poetry in the “High Tang” era from a range of perspectives. Starting with an in-depth discussion of the Romantic tradition and historical context, the author focuses on poetic language patterns, Youth Spirit, maturity symbols, and prototypes of the poetry. The author demonstrates that the most valuable part of Tang poetry is how it can provide people with a new perspective on every aspect of life. This book will appeal to researchers, scholars, and students of Chinese literature and especially of classical Chinese poetry. People interested in Chinese culture more widely will also benefit from this book.
A Comprehensive Study of Tang Poetry II (China Perspectives)
by Lin GengTang poetry is one of the most valuable cultural inheritances of Chinese history. Its distinctive aesthetics, delicate language and diverse styles constitute great Literature in itself, as well as a rich topic for literary study. This two-volume set constitutes a classic analysis of Tang poetry in the “Golden Age” of Chinese poetry (618–907 CE). This volume focuses on the prominent poets and poems of Tang poetry. Beginning with an introduction to the “four greatest poets” - Li Bai, Du Fu, Wang Wei and Bai Juyi - the author discusses their subjects, language, influence, and key works. The volume also includes essays on the masterpieces of Tang poetry, categorized by topics such as love and friendship, aspirations and seclusion, as well as travelling and nostalgia. As the author stresses, Tang poetry is worth rereading because it makes our invigorates our mental wellbeing, leaving it powerful and full of vitality. This book will appeal to researchers and students of Chinese literature, especially of classical Chinese poetry. People interested in Chinese culture will also benefit from the book.
Compromise and Resistance in Postcolonial Writing: E. M. Forster’s Legacy
by Alberto Fernández CarbajalCompromise and Resistance in Postcolonial Writing is an illuminating study of E.M. Forster, offering a new critical approach to his legacy. It examines key themes in Forster's work (homosexuality, humanism, modernism, liberalism) and their relevance to post-imperial and postcolonial novels by important contemporary writers.
Computational Cognitive Modeling and Linguistic Theory (Language, Cognition, and Mind #6)
by Adrian Brasoveanu Jakub DotlačilThis open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science.The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth)
Computational Construction Grammar: A Usage-Based Approach (Elements in Cognitive Linguistics)
by Jonathan DunnThis Element introduces a usage-based computational approach to Construction Grammar that draws on techniques from natural language processing and unsupervised machine learning. This work explores how to represent constructions, how to learn constructions from a corpus, and how to arrange the constructions in a grammar as a network. From a theoretical perspective, this Element examines how construction grammars emerge from usage alone as complex systems, with slot-constraints learned at the same time that constructions are learned. From a practical perspective, this work is accompanied by a Python package which enables linguists to incorporate construction grammars into their own corpus-based work. The computational experiments in this Element are important for testing the learnability, variability, and confirmability of Construction Grammar as a theory of language. All code examples will leverage the cloud computing platform Code Ocean to guide readers through implementation of these algorithms.
The Computational Content Analyst: Using Machine Learning to Classify Media Messages
by Chris J. VargoMost digital content, whether it be thousands of news articles or millions of social media posts, is too large for the naked eye alone. Often, the advent of immense datasets requires a more productive approach to labeling media beyond a team of researchers. This book offers practical guidance and Python code to traverse the vast expanses of data—significantly enhancing productivity without compromising scholarly integrity. We’ll survey a wide array of computer-based classification approaches, focusing on easy-to-understand methodological explanations and best practices to ensure that your data is being labeled accurately and precisely. By reading this book, you should leave with an understanding of how to select the best computational content analysis methodology to your needs for the data and problem you have.This guide gives researchers the tools they need to amplify their analytical reach through the integration of content analysis with computational classification approaches, including machine learning and the latest advancements in generative artificial intelligence (AI) and large language models (LLMs). It is particularly useful for academic researchers looking to classify media data and advanced scholars in mass communications research, media studies, digital communication, political communication, and journalism.Complementing the book are online resources: datasets for practice, Python code scripts, extended exercise solutions, and practice quizzes for students, as well as test banks and essay prompts for instructors. Please visit www.routledge.com/9781032846354.
Computational Fluid Dynamics
by T. J. ChungIn this second edition of Computational Fluid Dynamics, the author presents up-to-date treatments of all computational methods of fluid dynamics, while maintaining the original idea of including all computational fluid dynamics methods. The breadth of information sets this book apart from its competitors and allows the instructor to adopt this book, selecting only those subject areas of his or her interest. The second edition includes a new section on preconditioning for EBE-GMRES and a complete revision of the section on flow field-dependent variation methods, which demonstrates more detailed computational processes and includes additional example problems. Homework examples facilitate students and practitioners intending to develop a large-scale computer code.
Computational Linguistics: 15th International Conference Of The Pacific Association For Computational Linguistics, Pacling 2017, Yangon, Myanmar, August 16-18, 2017, Revised Selected Papers (Communications In Computer And Information Science #781)
by Kôiti Hasida Win Pa PaThis book constitutes the refereed proceedings of the 15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017, held in Yangon, Myanmar, in August 2017.The 28 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on semantics and semantic analysis; statistical machine translation; corpora and corpus-based language processing; syntax and syntactic analysis; document classification; information extraction and text mining; text summarization; text and message understanding; automatic speech recognition; spoken language and dialogue; speech pathology; speech analysis.
Computational Linguistics and Intelligent Text Processing: 16th International Conference, Cicling 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I (Lecture Notes in Computer Science #9041)
by Alexander GelbukhThe two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.
Computational Linguistics and Intelligent Text Processing: 16th International Conference, Cicling 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I (Lecture Notes in Computer Science #9041)
by Alexander GelbukhThe two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.
Computational Linguistics and Intelligent Text Processing: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I (Lecture Notes in Computer Science #10761)
by Alexander GelbukhThe two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.The papers are organized in the following topical sections:Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.
Computational Linguistics and Intelligent Text Processing: 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II (Lecture Notes in Computer Science #10762)
by Alexander GelbukhThe two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.The papers are organized in the following topical sections:Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.
Computational Linguistics and Intelligent Text Processing: 19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18–24, 2018, Revised Selected Papers, Part I (Lecture Notes in Computer Science #13396)
by Alexander GelbukhThe two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others. The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining.