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.
Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key Features Gain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve your NLP problems Explore convolutional and recurrent neural networks and long short-term memory networks Book Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues. What you will learn Understand various pre-processing techniques for deep learning problems Build a vector representation of text using word2vec and GloVe Create a named entity recognizer and parts-of-speech tagger with Apache OpenNLP Build a machine translation model in Keras Develop a text generation application using LSTM Build a trigger word detection application using an attention model Who this book is for If you’re an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.
The essential, up-to-date guide for helping children with language and listening problems Does your child have trouble getting the right words out, following directions, or being understood? In this revised new edition of Childhood Speech, Language, and Listening Problems, speech-language pathologist Patricia Hamaguchi-who has been helping children overcome problems like these for more than thirty years-answers your questions to help you determine what's best for your child. This newest edition: * Expands on speech and articulation issues affecting toddlers * Includes a new chapter on socially "quirky" children Explains how to get the right help for your child, including when to wait before seeking help, how to find the right specialist, and how the problem may affect your child academically, socially, and at home Covers major revisions in educational laws and programs and insurance coverage as well as current information on new interventions and cutting-edge research in the field Updates information on autism spectrum disorders, neurobiological disorders, and auditory processing disorders "Provides valuable information for parents of children with speech, language, and listening problems."-Sandra C. Holley, Ph.D., Former President, American Speech-Language-Hearing Association (on the Second Edition) More than 1.1 million children receive special education services each year to address speech and language problems, and many others struggle with language and listening to some degree. If your child is one of them, this book gives you the crucial and up-to-date guidance you need to help him or her both in school and at home.
Accompanying continued industrial production and sales of artificial intelligence and expert systems is the risk that difficult and resistant theoretical problems and issues will be ignored. The participants at the Third Tinlap Workshop, whose contributions are contained in Theoretical Issues in Natural Language Processing, remove that risk. They discuss and promote theoretical research on natural language processing, examinations of solutions to current problems, development of new theories, and representations of published literature on the subject. Discussions among these theoreticians in artificial intelligence, logic, psychology, philosophy, and linguistics draw a comprehensive, up-to-date picture of the natural language processing field.
Same Journey, Different Paths is a wonderfully comprehensive book written by parents and individuals with Auditory Processing Disorder (APD). By sharing their stories and experiences, other parents and individuals with APD understand they are not alone. The authors of the book live all over the world, and found each other on social media sites, while looking for answers during their times of struggle. Through this connection, they started talking to one another, sharing advice, telling their stories, and developed relationships with one another. They now have a group of supportive people who can share in their unique experiences, help guide them through the process of getting help, and provide emotional support during those very difficult moments. Same Journey, Different Paths takes you into the life of each of these individuals, and helps you to understand the struggles encountered when trying to discover and cope with APD. The book also provides an in depth look into what Auditory Processing disorder is, including symptoms, causes, effects, getting a diagnosis, and treatments. It includes resources for obtaining more information, and a glossary of terms. Auditory Processing Disorder (APD) is considered a "hidden" disorder, which is difficult to diagnose, and is often mistaken for something else. The literature and resources for someone with APD are minimal, which contributes to one feeling alone on their journey through discovery and treatment. The authors of Same Journey, Different Paths have combined their stories in this book so that others can learn through their experiences, and get the help they need to be successful in school and in life. Join these remarkable people on their journeys of living with Auditory Processing Disorder.
Auditory processing in children (APD) comprises an increasingly important clinical area within the broad field of communication disorders. This new textbook presents the major advances in the assessment and management of APD. The chapter authors, highly regarded clinicians and researchers from diverse professional groups, contribute an impressive breadth of knowledge to explain and demystify APD. This text will be useful to students of speech language pathology and audiology, as well as professionals in those fields.
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing. By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. What You Will Learn Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural language generation problems Who This Book Is ForData scientists who want to refresh and learn various concepts of natural language processing through coding exercises.
Each chapter is written by a speech and language therapist specialising in psycholinguistic approaches to investigation and intervention. Authors were invited to present a single case in one of four given areas ??? speech processing, lexical processing, sentence processing and pragmatics. The editors have provided introductions to each subject area and a discussion of the findings at the end of each section.
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.
Auditory Processing Disorders: Assessment, Management, and Treatment, Third Edition details the definition, behaviors, and comorbidities of auditory processing disorders while educating the reader on the most current practices for audiological and speech-language assessment of APD, including its impact on literacy and language processing. Practical rehabilitation, management strategies, and direct evidence-based treatment programs, including the use of technology, are covered in detail. Auditory Processing Disorders is a highly practical book designed specifically for practicing clinicians and instructors, both audiologists and speech-language pathologists. It contains a comprehensive review of APD and is an excellent resource for upper-level audiology students and for educated parents, teachers, and other professionals wishing to learn more about APD for themselves, their child, and their practice. The third edition includes a global perspective of auditory processing including the latest in evidence-based treatment programs. Content has been edited to be more concise and user-friendly for increased readability and comprehension. Contributions are from the field's most recognized experts such as Gail Chermak, Frank Musiek, Jack Katz, Harvey Dillon, Gail Richards, and Teri Bellis. NEW TO THIS EDITION: New chapters address neurological brain damage and its impact on auditory processing, psychiatric disorders associated with auditory processing, the impact of otitis media on auditory processing skills, and new methods for diagnosing.A new chapter on psychological testing and what psychologists contribute to the battery of testing, diagnosis, and knowledge base of APD, endorsing intraprofessional collaboration.A new chapter on an evidence-based program known as CAPDOTS from Carol Lau in Vancouver with data to support its use in deficit specific remediation.An updated chapter from Nina Kraus and her laboratory colleagues at Brain Volts, Northwestern University with a new perspective on categorizing and assessing APD.Updated chapters reflect the current research on AN/AD and the newest relevant tests for the SLP to administer when screening for APD and treating the phonological aspects of the disorder.ASHA expert Janet McCarty presents information and advice on private third-party payors and government agencies for coding and reimbursement.Updated images of new FM systems and apps for treatment.New and updated resources such as web links, references, technology, and apps.*Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book.
Profiles and explores APD, a hearing form of dyslexia in which the brain cannot process sound, delineating its symptoms, diagnosis, and treatment for child and adult sufferers while noting the prevalence of the condition's misdiagnosis. Reprint.
CONTENTSForeword by Dennis P. Phillips, Ph.D. Conceptual and Historical Foundations. Neurobiology of the Central Auditory Nervous System Relevant to Central Auditory Processing. Spoken Language Processing. Considerations in the Assessment of Central Auditory Processing Disorders. Behavioral Central Auditory Tests. Electrophysiologic Assessment of Central Auditory Processing Disorders. Fundamental Concepts and Considerations for Management. Management: Auditory Training and Metalinguistic and Metacognitive Strategies. Enhancing the Acoustic Signal and the Listening Environment. Research Needs and Future Directions. Glossary. References. Index.
Natural Language Processing With Python This book is a perfect beginner's guide to natural language processing. It is offering an easy to understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than fifty years, but just recently with greater amounts of data present and better computational powers, it has gained a greater popularity. Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this book will serve as your best companion on this journey introducing you to this challenging, yet extremely engaging world of automatic manipulation of our human language. It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python. Here Is a Preview of What You’ll Learn Here… The main challenges of natural language processing The history of natural language processing How natural langauge processing actually works The main natural language processing applications Text preprocessing and noise removal Feature engineering and syntactic parsing Part of speech tagging and named entity extraction Topic modeling and word embedding Text classification problems Working with text data using NLTK Text summarization and sentiment analysis And much, much more... Get this book NOW and learn more about Natural Language Processing With Python!
Bringing together researchers and practitioners from a variety of disciplines, this volume examines issues relating to language and its uses in, and effects on, solving problems in science and engineering. Focusing on how language influences the problem solver, the topics addressed include knowledge representation, heuristic methods, and issues related to the design of workstations, programming environments, and supercomputing systems.
Studies of language acqUiSItion have largely ignored processing prin ciples and mechanisms. Not surprisingly, questions concerning the analysis of an informative linguistic input - the potential evidence for grammatical parameter setting - have also been ignored. Especially in linguistic approaches to language acquisition, the role of language processing has not been prominent. With few exceptions (e. g. Goodluck and Tavakolian, 1982; Pinker, 1984) discussions of language perform ance tend to arise only when experimental debris, the artifact of some experiment, needs to be cleared away. Consequently, language pro cessing has been viewed as a collection of rather uninteresting perform ance factors obscuring the true object of interest, namely, grammar acquisition. On those occasions when parsing "strategies" have been incorporated into accounts of language development, they have often been discussed as vague preferences, not open to rigorous analysis. In principle, however, theories of language comprehension can and should be subjected to the same criteria of explicitness and explanatoriness as other theories, e. g. , theories of grammar. Thus their peripheral role in accounts of language development may reflect accidental factors, rather than any inherent fuzziness or irrelevance to the language acquisition problem. It seems probable that an explicit model of the way(s) processing routines are applied in acquisition would help solve some central problems of grammar acquisition, since these routines regulate the application of grammatical knowledge to novel inputs.