1.

Record Nr.

UNINA9910782550803321

Titolo

Language disorders in speakers of Chinese [[electronic resource] /] / edited by Sam-Po Law, Brendan S. Weekes and Anita M-Y. Wong

Pubbl/distr/stampa

Bristol, UK ; ; Buffalo, NY, : Multilingual Matters, c2009

ISBN

1-281-97340-8

9786611973407

1-84769-117-X

Descrizione fisica

1 online resource (325 p.)

Collana

Communication disorders across languages

Altri autori (Persone)

LawSam-po

WeekesBrendan

WongAnita M-Y

Disciplina

362.196/85500951

Soggetti

Language disorders - China

Communicative disorders - China

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Front matter -- Contents -- Contributors -- Preface -- Chapter 1. Characteristics of Chinese in Relation to Language Disorders -- Chapter 2. The Role of Phonological Saliency and Phonological Template in Typically and Atypically Developing Phonology: Evidence from Putonghua-speaking Children -- Chapter 3. Grammatical Characteristics of Mandarin-speaking Children with Specific Language Impairment -- Chapter 4. A Construction Account of Question Acquisition in Cantonese-speaking Children with Specific Language Impairment -- Chapter 5. Morphosyntactic Deficits in Cantonese-speaking Children with Specific Language Impairment -- Chapter 6. Assessing Cantonese-speaking Children with Language Difficulties from the Perspective of Evidence based Practice: Current Practice and Future Directions -- Chapter 7. Morphological Deficit and Dyslexia Subtypes in Chinese -- Chapter 8. Developmental Dyslexia in Chinese: Behavioral, Genetic and Neuropsychological Issues -- Chapter 9. Lexical Tones Perceived by Chinese Aphasic Subjects -- Chapter 10. Selective Grammatical Class Deficits: Implications for the Representation of Grammatical Information in Chinese -- Chapter 11.



Acquired Reading Disorders in Chinese: Implications for Models of Reading -- Chapter 12. Age of Acquisition Effects on Picture Naming in Chinese Anomia -- Chapter 13. The Effect of Semantic Integrity of Words with Preserved Lexico-phonological Representation on Verbal Recall -- Chapter 14. Cantonese Linguistic Communication Measure (CLCM): A Clinical Tool for Assessing Aphasic Narrative Production -- Chapter 15. A Semantic Treatment for Cantonese Anomic Patients: Implications for the Relationship Between Impairment and Therapy -- Chapter 16. Acquired Dyslexia in Mongolian and Chinese -- Appendix

Sommario/riassunto

Research interest in Chinese language impairments can be traced back to the 1930's. Despite the significant advances made in this research field over the past two decades, this body of work has not received the attention it deserves. This book fills a gap in the field and represents the latest research in Chinese language disorders in children and adults. The work presented in this volume addresses theoretical and clinical issues relevant to specific language impairment in children, developmental dyslexia, phonological impairment in children and adults, and acquired dyslexia and dysgraphia. The book will appeal to interdisciplinary researchers from cognitive psychology, linguistics, and neurology with interests in the Chinese language, speech-language therapists working with Chinese-speaking clients, educationists, in particular language teachers of children learning to read and write Chinese, as well as neuroscientists. It will serve as a good reference book for advanced level undergraduate courses or graduate courses in speech/language pathologies and psycholinguistics.



2.

Record Nr.

UNINA9910574039803321

Titolo

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems / / edited by Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

3-030-99079-6

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (497 pages)

Collana

Studies in Computational Intelligence, , 1860-9503 ; ; 1038

Disciplina

519.3

670.151

Soggetti

Computational intelligence

Machine learning

Computational Intelligence

Machine Learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

Combined Optimization Algorithms for Incorporating DG in Distribution Systems -- Intelligent computational models for cancer diagnosis: A Comprehensive Review -- Elitist-Ant System metaheuristic for ITC 2021- Sports Timetabling -- Swarm intelligence algorithms-based Machine Learning Framework for Medical Diagnosis: A Comprehensive Review -- Aggregation of Semantically Similar News Articles with the help of Embedding Techniques and Unsupervised Machine Learning Algorithms: A Machine Learning Application with Semantic Technologies -- Integration of Machine Learning and Optimization Techniques for Cardiac Health Recognition -- Metaheuristics for Parameter Estimation of Solar Photovoltaic Cells: A Comprehensive Review -- Big Data Analysis using Hybrid Meta-heuristic Optimization Algorithm and MapReduce Framework -- Deep Neural Network for Virus Mutation Prediction: A Comprehensive Review -- 2D Target/Anomaly Detection in Time Series Drone Images using Deep Few-Shot Learning in Small Training Dataset -- Hybrid Adaptive Moth-Flame Optimizer and Opposition-Based Learning for Training Multilayer Perceptrons -- Early Detection of Coronary Artery Disease Using a PSO-



based Neuroevolution Model -- Review for meta-heuristic optimization propels machine learning computations execution on spam comment area under digital security aegis region -- Solving reality based optimization trajectory problems with different metaphor inspired metaheuristic algorithms -- Parameter Tuning of PID controller Based on Arithmetic Optimization Algorithm in IOT systems -- Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms -- AI Based Technologies for Digital and Banking Fraud During COVID -19 -- Gradient-Based Optimizer for structural optimization problems -- Aquila Optimizer based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing.

Sommario/riassunto

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities.