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Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.
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 repr...
A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In par...
Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive li...
This volume brings together papers from the 11th Conceptual Structure, Discourse and Language Conference, held in Vancouver in May 2012. In the last few years, the cognitive study of language has begun to examine the interaction between language and other embodied communicative modalities, such as gesture, while at the same time expanding the traditional limits of linguistic and cognitive enquiry into creative domains such as music, literature, and visual images. Papers in this collection show how the study of language paves the way for these new areas of investigation. They bring issues of multimodal communication to the attention of linguists, while also looking through and beyond language into various domains of human creativity. This refreshed view of the relations across various communicative domains will be important not only to linguists, but also to all those interested in the creative potential of the human mind.
Representing Phonological Detail Part I: Segmental Structure and Representations Part II: Syllable, Stress and Sign Part I of Representing Phonological Detail focuses on the latest phonological research on a range of issues. The first main theme in this volume is vowel representation, with special attention paid to topics such as vowel harmony and other vocalic processes (e.g., historical umlaut, vowel epenthesis, and the representation of vowel quality and height). The second main theme is consonant representation and consonantal processes (including laryngeal phonology and stop insertion). Finally, the acquisition of phonology and the interface between phonology and morphosyntax are examined, attending in particular to boundary symbols, morphological blends, and the status of recursion in phonology and syntax.
This book brings together leading metaphor researchers from a number of disciplines to unite the field of metaphor theory.
Beyond Memory: Silence and the Aesthetics of Remembrance analyses the intricate connections between silence, acts of remembrance and acts of forgetting, and relates the topic of silence to the international research field of Cultural Memory Studies. It engages with the most recent work in the field by viewing silence as a remedy to the traditionally binary approach to our understanding of remembering and forgetting. The international team of contributors examine case studies from colonialism, war, politics and slavery from across the globe, as well as drawing examples from literature, philosophy and sites of memory to draw three main conclusions. Firstly, that the relationship between rememb...