Input a Word, Analyze the World

Input a Word, Analyze the World
Author: Francisco Alonso Almeida
Publisher: Cambridge Scholars Publishing
Total Pages: 521
Release: 2016-02-08
Genre: Language Arts & Disciplines
ISBN: 1443888540

Input a Word, Analyze the World represents current perspectives on Corpus Linguistics (CL) from a variety of linguistic subdisciplines. Corpus Linguistics has proven itself an excellent methodology for the study of language variation and change, and is well-suited for interdisciplinary collaboration, as shown by the studies in this volume. Its title is inspired by the use of CL to assess language in different registers and with a variety of purposes. This collection contains thirty contributions by scholars in the field from across the globe, dealing with current topics on corpus production and corpus tools; lexical analysis, phraseology and grammar; translation and contrastive linguistics; and language learning. Language specialists will find these papers inspiring, as they present new insights on aspects related to research and teaching.

Cognitive Discourse Analysis

Cognitive Discourse Analysis
Author: Thora Tenbrink
Publisher: Cambridge University Press
Total Pages: 283
Release: 2020-02-13
Genre: Language Arts & Disciplines
ISBN: 1108529925

Analysing language data systematically and looking closely at how people formulate their thoughts can reveal astonishing insights about the human mind. Without presupposing specific subject knowledge, this book gently introduces its readers to theoretical insights as well as practical principles for systematic linguistic analysis from a cognitive perspective. Drawing on Thora Tenbrink's twenty years' experience in both linguistics and cognitive science, this book offers theoretical guidance and practical advice for doing cognitive discourse analysis. It covers areas of analysis as diverse as attention, perspective, granularity, certainty, inference, transformation, communication, and cognitive strategies, using inspiring examples from many different projects. Simple techniques and tools are used to allow readers new to the subject easy ways to apply the methods, without the need for complex technologies, whilst the cross-disciplinary approach can be applied to a diverse range of research purposes and contexts in which language and thought play a role.

Discourse Analysis

Discourse Analysis
Author: Susan Strauss
Publisher: Routledge
Total Pages: 348
Release: 2013-12-17
Genre: Language Arts & Disciplines
ISBN: 1136328076

This introductory textbook presents a variety of approaches and perspectives that can be employed to analyze any sample of discourse. The perspectives come from multiple disciplines, including linguistics, sociolinguistics, and linguistic anthropology, all of which shed light on meaning and the interactional construction of meaning through language use. Students without prior experience in discourse analysis will appreciate and understand the micro-macro relationship of language use in everyday contexts, in professional and academic settings, in languages other than English, and in a wide variety of media outlets. Each chapter is supported by examples of spoken and written discourse from various types of data sources, including conversations, commercials, university lectures, textbooks, print ads, and blogs, and concludes with hands-on opportunities for readers to actually do discourse analysis on their own. Students can also utilize the book’s comprehensive companion website, with flash cards for key terms, quizzes, and additional data samples, for in-class activities and self-study. With its accessible multi-disciplinary approach and comprehensive data samples from a variety of sources, Discourse Analysis is the ideal core text for the discourse analysis course in applied linguistics, English, education, and communication programs.

Tools for Analyzing the World's Languages

Tools for Analyzing the World's Languages
Author: John Albert Bickford
Publisher: Sil International, Global Publishing
Total Pages: 426
Release: 1998
Genre: Language Arts & Disciplines
ISBN:

A textbook and practical guide for acquiring skills necessary to analyze the morphology and syntax of languages around the world.

Words and Worlds

Words and Worlds
Author: Veena Das
Publisher: Duke University Press
Total Pages: 185
Release: 2021-05-10
Genre: Social Science
ISBN: 1478021470

Born in a time of anxiety, Words and Worlds examines some of the disquieting challenges that societies now face. Through an inquiry into a political lexicon of commonsense words, ranging from democracy and revolution to knowledge and authority, from inequality and toleration to war and power, the contributors to this book trouble the self-evidence of these terms, bringing into view the hidden transcripts and unexpected trajectories of many settled ideas, such as the human sense of belonging or the call for openness and transparency in research and public life. The case studies conducted over five continents with the tools of eight different disciplines challenge the ethnocentric assumptions, false moralism, and cultural prejudices that underlie much discussion on corruption or even the virtue invested in resilience. The critique of the ubiquitous use of crisis to characterize our times shows how this framing obscures the unjust conditions of existence and the violence of everyday life. Together the essays in this volume offer a fresh look at the deeply connected worlds we inhabit in solidarity and in discord. Contributors. Banu Bargu, Veena Das, Alex de Waal, Didier Fassin, Peter Geschiere, Behrooz Ghamari-Tabrizi, Caroline Humphrey, Ravi Kanbur, Julieta Lemaitre, Uday S. Mehta, Jan-Werner Müller, Jonathan Pugh, Elizabeth F. Sanders, Todd Sanders

Human-Computer Interaction

Human-Computer Interaction
Author: I. Scott MacKenzie
Publisher: Elsevier
Total Pages: 468
Release: 2024-01-15
Genre: Computers
ISBN: 0443140979

Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including an historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, readers will progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, readers will find hands-on exercises, checklists, and real-world examples. This is a must-have, comprehensive guide to empirical and experimental research in HCI – an essential addition to your HCI library. Provides a master, A-to-Z guide in a concise, hands-on reference Presents the practical and theoretical ins-and-outs of user studies Includes exercises, takeaway points, and case studies throughout Updated to incorporate developments in HCI, including Human performance outliers, Interaction elements: pointing and selecting; text input; gesture input

Machine Learning in Document Analysis and Recognition

Machine Learning in Document Analysis and Recognition
Author: Simone Marinai
Publisher: Springer Science & Business Media
Total Pages: 435
Release: 2008-01-10
Genre: Computers
ISBN: 3540762795

The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.

Modes of Thinking for Qualitative Data Analysis

Modes of Thinking for Qualitative Data Analysis
Author: Melissa Freeman
Publisher: Taylor & Francis
Total Pages: 155
Release: 2016-09-20
Genre: Education
ISBN: 1315516845

Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers: Categorical Thinking, Narrative Thinking, Dialectical Thinking, Poetical Thinking, and Diagrammatical Thinking. By presenting such disparate modes of research in the space of a single text, Freeman not only draws attention to the distinct methodological and theoretical contributions of each, she also establishes a platform for choosing among particular research strategies by virtue of their strengths and limitations. Experienced qualitative researchers, novices, and graduate students from many disciplines will gain new insight from the theory-practice relationship of analysis advanced in this text.

Head First Data Analysis

Head First Data Analysis
Author: Michael Milton
Publisher: "O'Reilly Media, Inc."
Total Pages: 486
Release: 2009-07-17
Genre: Computers
ISBN: 1449368336

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.