Reading And Language Processing

Author: John M. Henderson
Editor: Psychology Press
ISBN: 1317759567
Size: 16,45 MB
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This volume was designed to identify the current limits of progress in the psychology of reading and language processing in an information processing framework. Leaders in their fields of interest, the chapter authors couple current theoretical analyses with new, formally presented experiments. The research -- cutting-edge and sometimes controversial -- reflects the prevailing analysis that language comprehension results in numerous levels of representation, including surface features, lexical properties, linguistic structures, and idea networks underlying a message as well as the situations to which a message refers. As a group, the chapters highlight the impact that input modality -- auditory or written -- has on comprehension. Finally, the studies also capture the evolution of new topic matter and ongoing debates concerning the competing paradigms, global proposals, and methods that form the foundation of the enterprise. The book presents current accounts of research on word-, sentence-, and text-processing. It will prove informative for experimental psychologists as well as investigators in cognitive science disciplines such as computer science, linguistics, and educational psychology. The book will also be very helpful to graduate students who wish to develop expertise in the psychology of language processes. For them, it collects, in a single volume, readings that are representative of progress concerning many central problems in the field. As such, it is distinct from the numerous collected volumes that concentrate on a single issue. Complete author and subject indexes facilitate effective use of the volume.

Language Processing Problems

Author: Cindy Gaulin
Editor: Xlibris Corporation
ISBN: 1462834612
Size: 14,78 MB
Format: PDF
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Language Processing Problems: A Guide for Parents and Teachers is an easy-to-read but thorough treatment of a problem which is quite prevalent but often overlooked. Children (and adults) vary in their language processing capacities. Recognizing this variation can be very useful in understanding why certain children are having unexpected difficulties with school or social interactions. Split-second delays in recognizing words, problems remembering what was said, difficulties finding the word needed or organizing a complex sentence can all interfere with communication. For some children these problems are quite significant in spite of perfectly adequate or even exceptional knowledge of words and grammatical rules. The book explains, in laymans terms, how people use language to communicate, the components of the language processing system and the types of problems that can arise with its use. In particular an attempt is made to discriminate between language processing problems and other disorders such as Attention Deficit Disorder (ADD), Central Auditory Processing Disorder (CAPD), Specific Language Impairment (SLI) and Dyslexia. Guidelines are provided for recognizing language processing problems and for deciding how to proceed toward a solution. The book ends with many suggestions which parents, teachers and children can use to address specific and general language processing problems. A quick pass through the book finds that it begins with several examples of children who have language processing problems. It then provides down-to-earth descriptions of what language processing is and how we use speech to communicate. This is followed by discussions of the difference between language knowledge and language processing and other psycholinguistic topics such as word recognition and working memory. Distinctions are drawn between input and output processing and between auditory and visual language processing. These topics are followed by a chapter about how children learn to process language. After this introduction to the workings of language processing, problems with language processing are treated in detail. What are the problems? Who has them? And what causes language processing problems? Confusions of terminology are dealt with and then come two chapters which lay out the intrinsic (genetic) and extrinsic (environmental) factors related to language processing problems. In these chapters I compare and integrate information about related problems which can co-occur or be confused with language processing problems. The next two long chapters help parents and teachers recognize whether a child has a language processing problem and then decide what to do about it. The first of these chapters is divided into sections dealing with preschoolers, school-age children and high school students. The second chapter helps parents and teachers decide whether a speech-language evaluation is needed, what that evaluation should include, and details various possible treatment routes. There are four chapters which provide suggestions for improving listening and following directions, verbal memory, word retrieval and organization of language output, respectively. In each chapter there are suggestions for external strategies (to be used by parents and teachers) and internal strategies (to be used by the child) as well as descriptions of the kinds of treatment available from speech-language pathologists for these problems. A short, final summary is followed by a glossary and references.

Natural Language Processing

Author:
Editor: I. K. International Pvt Ltd
ISBN: 9380578776
Size: 17,42 MB
Format: PDF, ePub, Mobi
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Language Processing And The Reading Of Literature

Author: George L. Dillon
Editor:
ISBN:
Size: 20,44 MB
Format: PDF
Read: 281
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A Guide To Readiness Reading

Author: Philip J. McInnis
Editor:
ISBN:
Size: 11,74 MB
Format: PDF, Docs
Read: 153
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Describes the Assured Readiness for Learning program (ARL), a language training program for kindergarten and first grade that can be used with the upper elementary grades for remedial instruction.

Changing Perspectives On Research In Reading Language Processing And Instruction

Author: Helen Newton
Editor:
ISBN:
Size: 10,82 MB
Format: PDF, ePub
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Natural Language Processing With Tensorflow

Author: Thushan Ganegedara
Editor: Packt Publishing Ltd
ISBN: 1788477758
Size: 15,33 MB
Format: PDF, ePub
Read: 660
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Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features Focuses on more efficient natural language processing using TensorFlow Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches Provides choices for how to process and evaluate large unstructured text datasets Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence Book Description Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks. What you will learn Core concepts of NLP and various approaches to natural language processing How to solve NLP tasks by applying TensorFlow functions to create neural networks Strategies to process large amounts of data into word representations that can be used by deep learning applications Techniques for performing sentence classification and language generation using CNNs and RNNs About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks How to write automatic translation programs and implement an actual neural machine translator from scratch The trends and innovations that are paving the future in NLP Who this book is for This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.

Foundations Of Statistical Natural Language Processing

Author: Christopher D.. Manning
Editor: MIT Press
ISBN: 9780262133609
Size: 18,10 MB
Format: PDF, Mobi
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An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

Natural Language Processing And Text Mining

Author: Anne Kao
Editor: Springer Science & Business Media
ISBN: 1846287545
Size: 12,90 MB
Format: PDF, ePub, Docs
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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.