Text as Process
Author: Sally Bushell
Publisher:
Published: 2009
Total Pages: 328
ISBN-13:
DOWNLOAD EBOOK →The author concludes with a philosophical account of the status and meaning of the literary work as it comes into being.
Lanterna Rally
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Modelling Text As Process
Author: Xueyan Yang
Publisher: A&C Black
Published: 2011-10-27
Total Pages: 304
ISBN-13: 1441187936
DOWNLOAD EBOOK →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.
Oregon Writes
Author: Jenn Kepka
Publisher:
Published: 2016
Total Pages:
ISBN-13:
DOWNLOAD EBOOK →This textbook guides students through rhetorical and assignment analysis, the writing process, researching, citing, rhetorical modes, and critical reading. Using accessible but rigorous readings by professionals throughout the college composition field, the Oregon Writes Writing Textbook aligns directly to the statewide writing outcomes for English Composition courses in Oregon. Created through a grant from Open Oregon in 2015-16, this book collects previously published articles, essays, and chapters released under Creative Commons licenses into one free textbook available for online access or print-on-demand.
Draft No. 4
Author: John McPhee
Publisher: Farrar, Straus and Giroux
Published: 2017-09-05
Total Pages: 208
ISBN-13: 0374712395
DOWNLOAD EBOOK →The long-awaited guide to writing long-form nonfiction by the legendary author and teacher Draft No. 4 is a master class on the writer’s craft. In a series of playful, expertly wrought essays, John McPhee shares insights he has gathered over his career and has refined while teaching at Princeton University, where he has nurtured some of the most esteemed writers of recent decades. McPhee offers definitive guidance in the decisions regarding arrangement, diction, and tone that shape nonfiction pieces, and he presents extracts from his work, subjecting them to wry scrutiny. In one essay, he considers the delicate art of getting sources to tell you what they might not otherwise reveal. In another, he discusses how to use flashback to place a bear encounter in a travel narrative while observing that “readers are not supposed to notice the structure. It is meant to be about as visible as someone’s bones.” The result is a vivid depiction of the writing process, from reporting to drafting to revising—and revising, and revising. Draft No. 4 is enriched by multiple diagrams and by personal anecdotes and charming reflections on the life of a writer. McPhee describes his enduring relationships with The New Yorker and Farrar, Straus and Giroux, and recalls his early years at Time magazine. Throughout, Draft No. 4 is enlivened by his keen sense of writing as a way of being in the world.
Qualitative Text Analysis
Author: Udo Kuckartz
Publisher: SAGE
Published: 2014-01-23
Total Pages: 193
ISBN-13: 1446297764
DOWNLOAD EBOOK →How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
Text, Discourse, and Process
Author: Robert De Beaugrande
Publisher: Greenwood
Published: 1980
Total Pages: 376
ISBN-13:
DOWNLOAD EBOOK →Natural Language Processing with Python
Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
Published: 2009-06-12
Total Pages: 506
ISBN-13: 0596555717
DOWNLOAD EBOOK →This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Text and Text Processing
Author: G. Denhiere
Publisher: Elsevier
Published: 1991-06-17
Total Pages: 427
ISBN-13: 0080867332
DOWNLOAD EBOOK →The book presents the state-of-the-art in major aspects of text analysis and cognitive text processing by some of the most well-known European and American researchers in the field of text-linguistics and cognitive psychology. Comprehensive views and new perspectives are proposed in the following topics: cognitive and metacognitive aspects of text processing, structures and processes involved in the construction of multi-level semantic representations in relation with text and reader characteristics, achievement of local and global coherence of meaning during reading and comprehension, assessment of knowledge, knowledge acquisition of concepts and complex systems by text, and cognitive and metacognitive aspects of text production.
Text as Data
Author: Justin Grimmer
Publisher: Princeton University Press
Published: 2022-03-29
Total Pages: 360
ISBN-13: 0691207550
DOWNLOAD EBOOK →A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Speech & Language Processing
Author: Dan Jurafsky
Publisher: Pearson Education India
Published: 2000-09
Total Pages: 912
ISBN-13: 9788131716724
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