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Author: Maria Black
Publisher: Routledge
ISBN: 1444118889
Category : Language Arts & Disciplines
Languages : en
Pages : 331
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Book Description
Linguistics for Clinicians provides an introduction to linguistic analysis in the clinical context. The book draws on a range of linguistic theories and descriptions, equipping readers with a conceptual toolkit that will enable them to: analyse data systematically, taking into account different types of linguistic properties; pick out significant patterns that can give them clinically relevant cues; build explicit arguments to back up their observations and hypotheses; select relevant linguistic items for assessment and therapy tasks. The syntactic sections cover standard concepts and their application to a range of data is worked through step by step. This solid grounding in syntax provides a springboard for detailed analyses of sentence semantics and sentence phonology which are particularly relevant in clinical assessment and therapy, but are not usually available outside specialist linguistic texts. These sections cover: event structure and its representation by verbs and their complements; the timing and modality of events and their representation by the auxiliary system; rhythmic patterns of sentences and how the type and position of individual words influences them. Clinical relevance is a central theme throughout the book. All linguistic concepts are introduced with examples of their clinical use. Analytical tips are included to anticipate and deal with common problems of clinical application. Extensive exercises further illustrate the use of linguistic concepts in data analysis and task construction. Linguistics for Clinicians is primarily a linguistics textbook for students and teachers on clinical courses. It is also a useful resource for practising clinicians, psycholinguitics students and researchers in language impairments.
Author: Maria Black
Publisher: Routledge
ISBN: 1444118889
Category : Language Arts & Disciplines
Languages : en
Pages : 331
Get Book Here
Book Description
Linguistics for Clinicians provides an introduction to linguistic analysis in the clinical context. The book draws on a range of linguistic theories and descriptions, equipping readers with a conceptual toolkit that will enable them to: analyse data systematically, taking into account different types of linguistic properties; pick out significant patterns that can give them clinically relevant cues; build explicit arguments to back up their observations and hypotheses; select relevant linguistic items for assessment and therapy tasks. The syntactic sections cover standard concepts and their application to a range of data is worked through step by step. This solid grounding in syntax provides a springboard for detailed analyses of sentence semantics and sentence phonology which are particularly relevant in clinical assessment and therapy, but are not usually available outside specialist linguistic texts. These sections cover: event structure and its representation by verbs and their complements; the timing and modality of events and their representation by the auxiliary system; rhythmic patterns of sentences and how the type and position of individual words influences them. Clinical relevance is a central theme throughout the book. All linguistic concepts are introduced with examples of their clinical use. Analytical tips are included to anticipate and deal with common problems of clinical application. Extensive exercises further illustrate the use of linguistic concepts in data analysis and task construction. Linguistics for Clinicians is primarily a linguistics textbook for students and teachers on clinical courses. It is also a useful resource for practising clinicians, psycholinguitics students and researchers in language impairments.
Author: Andrea C. Schalley
Publisher: John Benjamins Publishing
ISBN: 9027223947
Category : Language Arts & Disciplines
Languages : en
Pages : 351
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Book Description
There is a perceived tension between empirical and theoretical approaches to the study of language. Many recent works in the discipline emphasise that linguistics is an 'empirical science'. This volume argues for a nuanced view, highlighting that theory and practice necessarily and as a matter of fact complement each other in linguistic research. Its contributions ranging from experimental studies in psychology via linguistic fieldwork and cross-linguistic comparisons to the application of formal and logical approaches to language exemplify the mutual relationship between empirical and theoretical work. The volume illustrates how selected topics are addressed by different contributions and methodological stances. Topics include the cognitive grounding of language, social cognition and the construction of meaning in interaction, and, closely related, pragmatics from a typological perspective and beyond. Anyone interested in these topics and more generally in meta-theoretical considerations will find great value in this volume.
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Publisher:
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Languages : en
Pages : 498
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Book Description
Author: R. H. Baayen
Publisher: Cambridge University Press
ISBN: 1139470736
Category : Language Arts & Disciplines
Languages : en
Pages : 40
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Book Description
Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
Author: Helen Aristar Dry
Publisher: Routledge
ISBN: 1134704372
Category : Language Arts & Disciplines
Languages : en
Pages : 315
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Book Description
Computing has had a dramatic impact on the discipline of linguistics and is shaping the way we conceptualize both linguistics and language. Using Computers in Linguistics provides a non-technical introduction to recent developments in linguistic computing and offers specific guidance to the linguist or language professional who wishes to take advantage of them. Divided into eight chapters, each of the expert contributors focus on a different aspect of the interaction of computing and linguistics looking either at computational resources: the Internet, software for fieldwork and teaching linguistics, Unix utilities, or at computational developments: the availability of electronic texts, new methodologies in natural language processing, the development of the CELLAR computing environment for linguistic analysis.
Author: Zhenya Antić
Publisher: Packt Publishing Ltd
ISBN: 1838987789
Category : Computers
Languages : en
Pages : 285
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Book Description
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization Key Features Analyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim Implement common and not-so-common linguistic processing tasks using Python libraries Overcome the common challenges faced while implementing NLP pipelines Book DescriptionPython is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization. Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You’ll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you’ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data. By the end of this NLP book, you’ll have developed the skills to use a powerful set of tools for text processing.What you will learn Become well-versed with basic and advanced NLP techniques in Python Represent grammatical information in text using spaCy, and semantic information using bag-of-words, TF-IDF, and word embeddings Perform text classification using different methods, including SVMs and LSTMs Explore different techniques for topic modeling such as K-means, LDA, NMF, and BERT Work with visualization techniques such as NER and word clouds for different NLP tools Build a basic chatbot using NLTK and Rasa Extract information from text using regular expression techniques and statistical and deep learning tools Who this book is for This book is for data scientists and professionals who want to learn how to work with text. Intermediate knowledge of Python will help you to make the most out of this book. If you are an NLP practitioner, this book will serve as a code reference when working on your projects.
Author: C. Bowern
Publisher: Springer
ISBN: 1137340800
Category : Language Arts & Disciplines
Languages : en
Pages : 297
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Book Description
Linguistic Fieldwork offers practical guidance on areas such as applying for funding, the first session on a new language, writing up the data and returning materials to communities. This expanded second edition provides new content on the results of research, on prosody elicitation, on field experiment design, and on working in complex syntax.
Author: Martin Weisser
Publisher: John Wiley & Sons
ISBN: 1118831888
Category : Language Arts & Disciplines
Languages : en
Pages : 306
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Book Description
This is the first book of its kind to provide a practical and student-friendly guide to corpus linguistics that explains the nature of electronic data and how it can be collected and analyzed. Designed to equip readers with the technical skills necessary to analyze and interpret language data, both written and (orthographically) transcribed Introduces a number of easy-to-use, yet powerful, free analysis resources consisting of standalone programs and web interfaces for use with Windows, Mac OS X, and Linux Each section includes practical exercises, a list of sources and further reading, and illustrated step-by-step introductions to analysis tools Requires only a basic knowledge of computer concepts in order to develop the specific linguistic analysis skills required for understanding/analyzing corpus data
Author: J. Heigham
Publisher: Springer
ISBN: 023023951X
Category : Education
Languages : en
Pages : 339
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Book Description
Written in a clear, informal style for graduate students and practicing teachers embarking on their first qualitative research study in applied linguistics, leading authors introduce the principal research approaches and data creation methods to offer novice researchers an easy-to-follow and straightforward guide to qualitative inquiry.
Author: Stefan Th. Gries
Publisher: Walter de Gruyter
ISBN: 3110216043
Category : Language Arts & Disciplines
Languages : en
Pages : 346
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Book Description
This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website. The volume is aimed at beginners on every level of linguistic education: undergraduate students, graduate students, and instructors/professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative/statistical knowledge whatsoever and, unlike most competing books, begins at step 1 for every method and explains everything explicitly.
