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This book is designed as a course in the phonetic transcription of normal and disordered speech. What differentiates this book from existing approaches to phonetic transcription and conversational analysis is that it concentrates on linking together layers of detail to result in a complete record for the entire range of transcribable behaviors. Müller's book represents the first attempt to amalgamate differing methods to give phoneticians and clinicians a transcriptional tool kit, thus allowing them to generate a rich description of their data. This approach results in a variety of layers of transcription, all or some of which are available to the clinician or researcher faced with the task of transcribing speech. The layers include a base, orthographic layer; segmental and suprasegmental phonetic layers; a gaze and gesture layer; a layer for marking aspects of discourse (e.g., overlap); and finally, a layer for highlighting behaviors of specific clinical interest (e.g., stuttering behavior). This book clearly lays out the various layers of transcription in this approach, illustrating them with normal and clinical data as well as exercises for the reader. Each chapter in the book addresses a different layer of transcription, with a final chapter illustrating how to bring the layers together. Worked examples accompany each chapter, and appendices provide a quick reference to symbols and transcription conventions. Clinicians who need to transcribe speech samples for diagnosing disorders, planning treatment, and measuring treatment efficacy milestones will value that added precision available from use of the upgraded transcription techniques elucidated in this book.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
This handbook is a comprehensive practical resource on corpus linguistics. It features a range of basic and advanced approaches, methods and techniques in corpus linguistics, from corpus compilation principles to quantitative data analyses. The Handbook is organized in six Parts. Parts I to III feature chapters that discuss key issues and the know-how related to various topics around corpus design, methods and corpus types. Parts IV-V aim to offer a user-friendly introduction to the quantitative analysis of corpus data: for each statistical technique discussed, chapters provide a practical guide with R and come with supplementary online material. Part VI focuses on how to write a corpus linguistic paper and how to meta-analyze corpus linguistic research. The volume can serve as a course book as well as for individual study. It will be an essential reading for students of corpus linguistics as well as experienced researchers who want to expand their knowledge of the field.
Phonetic transcription is a key element in many kinds of written works, not least linguistics books, dictionaries, language-teaching texts and bilingual reference works. This book is the first book-length scholarly monograph to address all of the important aspects of phonetic transcription.The aim of phonetic transcription is to represent the sounds of speech on paper. This book reviews contemporary uses of phonetic transcription in dictionaries, language teaching texts, phonetic and phonological studies, dialectology and sociolinguistics, speech pathology and therapy, and forensic phonetics. Heselwood surveys the history of attempts to represent speech, considering the relationship of transcription to written language. The book also includes a thorough analysis of the many different kinds of phonetic transcription - broad, narrow, auditory, systematic, segmental, suprasegmental, parametric and others - addressing what exactly is represented in different kinds and levels of transcription.Different ways in which transcription can be used alongside modern instrumental records of speech are illustrated with the claim that transcription embodies a kind of knowledge about speech unavailable to instruments - knowledge gained from the experience of listening to it in a phonetically informed manner. The author grounds this claim in the philosophy of phenomenalism, countering arguments against auditory transcription that have been advanced by experimental phoneticians for reasons of empirical inadequacy, and by linguistic rationalists who say it is irrelevant for understanding the supposedly innate categories that are said to underlie speech. A glossary of terms is included, along with a series of examples to demonstrate the comparison, classification and interpretation of phonetic transcriptions for different purposes.
This comprehensive collection equips readers with a state-of-the-art description of clinical phonetics and a practical guide on how to employ phonetic techniques in disordered speech analysis. Divided into four sections, the manual covers the foundations of phonetics, sociophonetic variation and its clinical application, clinical phonetic transcription, and instrumental approaches to the description of disordered speech. The book offers in-depth analysis of the instrumentation used in articulatory, auditory, perceptual, and acoustic phonetics and provides clear instruction on how to use the equipment for each technique as well as a critical discussion of how these techniques have been used in studies of speech disorders. With fascinating topics such as multilingual sources of phonetic variation, principles of phonetic transcription, speech recognition and synthesis, and statistical analysis of phonetic data, this is the essential companion for students and professionals of phonetics, phonology, language acquisition, clinical linguistics, and communication sciences and disorders.
Analysis of discourse production among speakers with acquired communication disorders is an important and necessary clinical procedure. This book provides a comprehensive review and discussion of aphasia and its related disorders, their corresponding clinical discourse symptoms that speech-and-language pathologists should address, and the different methods of discourse elicitation that are clinically and research oriented. This edition has been thoroughly updated throughout to include the latest research, including advances in word retrieval and discourse production, cognitive and multicultural aspects of disordered discourse production, application of technology to understand and evaluate spoken discourse, and evidence-based intervention of discourse impairments. Contemporary issues related to disordered/clinical discourse elicitation are added. Recent advancement in discourse analysis is covered and discussions of various treatment options of discourse symptoms are provided. Finally, the manifestation of discourse symptoms as a function of speakers’ multilingual/multi-cultural status and specific considerations related to clinical assessment and remediation are explored. As the only introductory text to include comprehensive coverage of basic knowledge of neurogenic disordered discourse, it is a must-read for students, clinicians, and researchers in various fields. Readers will also benefit from plenty of examples that provide a connection between the theoretical contents presented in the text and application to real-life contexts of discourse production.
The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
The origins of learner corpus research go back to the late 1980s when large electronic collections of written or spoken data started to be collected from foreign/second language learners, with a view to advancing our understanding of the mechanisms of second language acquisition and developing tailor-made pedagogical tools. Engaging with the interdisciplinary nature of this fast-growing field, The Cambridge Handbook of Learner Corpus Research explores the diverse and extensive applications of learner corpora, with 27 chapters written by internationally renowned experts. This comprehensive work is a vital resource for students, teachers and researchers, offering fresh perspectives and a unique overview of the field. With representative studies in each chapter which provide an essential guide on how to conduct learner corpus research in a wide range of areas, this work is a cutting-edge account of learner corpus collection, annotation, methodology, theory, analysis and applications.
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Contributors. -- Foreword. -- Preface. -- Getting Started. -- Assessing Available Information. -- Organizing and Preliminary Planning for Surgical Research -- Writing a Protocol: Animals, Humans, and Use of Biologic, Chemical, and Radiologic Agents. -- Grantsmanship. -- Informed Consent and the Protection of Human Research Subjects: Historical Perspectives and Guide to Current United States Regulations. -- Animal Care and Maintenance. -- Funding Strategies and Agencies: Academic-Industrial Relationships; Intellectual Property. -- Statistical Considerations. -- Use of Nonexperimental Studies to Evaluate Surgical Procedures and Other Interventions: The Challenge of Risk Adjustment. -- Measuring Surgical Outcomes. -- Design of Clinical Trials. -- Using Administrative Data for Clinical Research. -- Research in the Intensive Care Unit: Ethical and Methodological Issues. -- Research in the Operating Room. -- Effects of Age and Gender. -- Strategies, Principles, and Techniques Using Transgeni ...