Modelling Text As Process
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Modelling Text As Process
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Author : Xueyan Yang
language : en
Publisher: A&C Black
Release Date : 2011-10-27
Modelling Text As Process written by Xueyan Yang and has been published by A&C Black this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-27 with Language Arts & Disciplines categories.
A discourse analysis that is not based on grammar is likely to end up as a running commentary on a text, whereas a grammar-based one tends to treat text as a finished product rather than an on-going process. This book offers an approach to discourse analysis that is both grammar-based and oriented towards text as process. It proposes a model called TEXT TYPE within the framework of Hallidayan systemic-functional linguistics, which views grammatical choices in a text not as elements that combine to form a clause structure, but as semantic features that link successive clauses into an unfolding phase. It then demonstrates the model in actual analyses of 10 texts transcribed from 10 class hours' audio-recorded EFL classroom discourse, which in turn leads to the establishment of a dynamic system network that can be applied to future analyses of the process of EFL classroom discourse. The book also uncovers interesting details about EFL classroom teaching and learning in the Chinese context, including variations in the classroom environment, features of the interaction process, and discourse strategies of the teachers and students. It will be essential reading for academics and postgraduates working in the fields of discourse analysis, second language acquisition and systemic functional linguistics.
Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01
Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
Supervised Machine Learning For Text Analysis In R
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Author : Emil Hvitfeldt
language : en
Publisher: CRC Press
Release Date : 2021-11-03
Supervised Machine Learning For Text Analysis In R written by Emil Hvitfeldt and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-03 with Computers categories.
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Handbook Of Writing And Text Production
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Author : Eva-Maria Jakobs
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2014-02-27
Handbook Of Writing And Text Production written by Eva-Maria Jakobs and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-27 with Language Arts & Disciplines categories.
Writing matters, and so does research into real-life writing. The shift from an industrial to an information society has increased the importance of writing and text production in education, in everyday life and in more and more professions in the fields of economics and politics, science and technology, culture and media. Through writing, we build up organizations and social networks, develop projects, inform colleagues and customers, and generate the basis for decisions. The quality of writing is decisive for social resonance and professional success. This ubiquitous real-life writing is what the present handbook is about. The de Gruyter Handbook of Writing and Text Production brings together and systematizes state-of-the-art research. The volume contains five sections, focussing on (I) the theory and methodology of writing and text production research, as well as on problem-oriented and problem-solving approaches related to (II) authors, (III) modes and media, (IV) genres, and (V) domains of writing and text production. Throughout the 21 chapters, exemplary research projects illustrate the theoretical perspectives from globally relevant research spaces and traditions. Both established and future scholars can benefit from the handbook’s fresh approach to writing in the context of multimodal, multi-semiotic text production.
Computational Linguistics And Intelligent Text Processing
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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2013-03-12
Computational Linguistics And Intelligent Text Processing written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-12 with Computers categories.
This two-volume set, consisting of LNCS 7816 and LNCS 7817, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, CICLING 2013, held on Samos, Greece, in March 2013. The total of 91 contributions presented was carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections named: general techniques; lexical resources; morphology and tokenization; syntax and named entity recognition; word sense disambiguation and coreference resolution; semantics and discourse; sentiment, polarity, subjectivity, and opinion; machine translation and multilingualism; text mining, information extraction, and information retrieval; text summarization; stylometry and text simplification; and applications.
Affective Dialogue Systems
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Author : Elisabeth Andre
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-06-08
Affective Dialogue Systems written by Elisabeth Andre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-08 with Computers categories.
Human conversational partners are able, at least to a certain extent, to detect the speaker’s or listener’s emotional state and may attempt to respond to it accordingly. When instead one of the interlocutors is a computer a number of questions arise, such as the following: To what extent are dialogue systems able to simulate such behaviors? Can we learn the mechanisms of emotional be- viors from observing and analyzing the behavior of human speakers? How can emotionsbeautomaticallyrecognizedfromauser’smimics,gesturesandspeech? What possibilities does a dialogue system have to express emotions itself? And, very importantly, would emotional system behavior be desirable at all? Given the state of ongoing research into incorporating emotions in dialogue systems we found it timely to organize a Tutorial and Research Workshop on A?ectiveDialogueSystems(ADS2004)atKlosterIrseein GermanyduringJune 14–16, 2004. After two successful ISCA Tutorial and Research Workshops on Multimodal Dialogue Systems at the same location in 1999 and 2002, we felt that a workshop focusing on the role of a?ect in dialogue would be a valuable continuation of the workshop series. Due to its interdisciplinary nature, the workshop attracted submissions from researchers with very di?erent backgrounds and from many di?erent research areas, working on, for example, dialogue processing, speech recognition, speech synthesis, embodied conversational agents, computer graphics, animation, user modelling, tutoring systems, cognitive systems, and human-computer inter- tion.
Literacy For Qtls
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Author : Julia Hickey
language : en
Publisher: Routledge
Release Date : 2013-09-13
Literacy For Qtls written by Julia Hickey and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-13 with Education categories.
Literacy for QTLS is written specifically with the needs of all those training to teach or currently working in the lifelong learning sector in mind. This highly practical and easy-to-use text will help you identify your areas of strength and weakness, develop your knowledge and skills in order to pass the national literacy test and adopt strategies that you can use to support the language and literacy skills of your own learners. Packed with test-your-knowledge questions, examples and recommendations for best practice, this book, closely linked to the QTLS standards, is essential reading for all those needing to ensure that their level of literacy and language is in line with the minimum core requirements.The text is accompanied by a Companion Website at www.pearsoned.co.uk/hickey, providing an electronic version of the self-audit sections, downloadable templates and additional resources.
Theoretical Models And Processes Of Literacy
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Author : Donna E. Alvermann
language : en
Publisher: Routledge
Release Date : 2018-10-03
Theoretical Models And Processes Of Literacy written by Donna E. Alvermann and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Education categories.
The Seventh Edition of this foundational text represents the most comprehensive source available for connecting multiple and diverse theories to literacy research, broadly defined, and features both cutting-edge and classic contributions from top scholars. Two decades into the 21st century, the Seventh Edition finds itself at a crossroads and differs from its predecessors in three major ways: the more encompassing term literacy replaces reading in the title to reflect sweeping changes in how readers and writers communicate in a digital era; the focus is on conceptual essays rather than a mix of essays and research reports in earlier volumes; and most notably, contemporary literacy models and processes enhance and extend earlier theories of reading and writing. Providing a tapestry of models and theories that have informed literacy research and instruction over the years, this volume’s strong historical grounding serves as a springboard from which new perspectives are presented. The chapters in this volume have been selected to inspire the interrogation of literacy theory and to foster its further evolution. This edition is a landmark volume in which dynamic, dialogic, and generative relations of power speak directly to the present generation of literacy theorists and researchers without losing the historical contexts that preceded them. Some additional archival essays from previous editions are available on the book’s eResource. New to the Seventh Edition: Features chapters on emerging and contemporary theories that connect directly to issues of power and contrasts new models against more established counterparts. New chapters reflect sweeping changes in how readers and writers communicate in a digital era. Slimmer volume is complemented by some chapters from previous editions available online.
Text Relevance And Learning From Text
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Author : Gregory Schraw
language : en
Publisher: IAP
Release Date : 2011-08-01
Text Relevance And Learning From Text written by Gregory Schraw and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-01 with Language Arts & Disciplines categories.
Why do people from similar backgrounds who read the same text construct different meanings? Is there a question behind every reading goal, such that reading is an interactive process of asking and answering of questions? Do people who believe that knowledge is dynamic construct meaning differently than those who believe that knowledge is certain? This volume addresses questions such as these and presents cutting edge research and theory that explores how readers determine text relevance (i.e., the different values they assign to information as they read), how relevance affects understanding, and the implications of these studies for theories of text comprehension. This volume documents in a compelling manner the ongoing international effort to understand how text relevance affects reading and comprehension. Contributing authors represent major academic institutions on three continents and nine countries, demonstrating the multinational interest in text relevance. Why is there so much interest in text relevance? Learners are inundated with unprecedented amounts of information, and increased research regarding how readers process non-traditional texts (e.g., documents on the web) and multiple documents, for example, underscores the importance of understanding how readers determine the relevance of text information for personal, academic, or professional goals, which can enable educators to design learning situations that help learners get the most out of reading.