The Emoji Code: The Linguistics Behind Smiley Faces and Scaredy Cats
Drawing from disciplines as diverse as linguistics, cognitive science, psychology, and neuroscience, The Emoji Code explores how emojis are expanding communication and not ending it.
For all the handwringing about the imminent death of written language, emoji―those happy faces and hearts―is not taking us backward to the dark ages of illiteracy. Every day 41.5 billion texts are sent by one quarter of the world, using 6 million emoji. Evans argues that these symbols enrich our ability to communicate and allow us to express our emotions and induce empathy―ultimately making us all better communicators.
Global Englishes: A Resource Book for Students, 3rd Edition Assuming no prior knowledge, books in the series offer an accessible overview of the subject, with activities, study questions, sample analyses, commentaries, and key readings – all in the same volume. The innovative and flexible ‘two-dimensional’ structure is built around four sections – introduction, development, exploration, and extension – which offer self-contained stages for study. Each topic can also be read across these sections, enabling the reader to build gradually on the knowledge gained.
Syntax is the study of how sentences are built. Whereas the grammar of English (or other languages) might look like a rather chaotic set of arbitrary patterns, linguistic science has revealed that these patterns can actually be understood as a result of a small number of grammatical principles. This lively introductory textbook is designed for undergraduate students in linguistics, English and modern languages with relatively little background in the subject, offering the necessary tools for the analysis of phrases and sentences, while at the same time introducing state-of-the-art syntactic theory, in an accessible and engaging way.
When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-specific random effects are called mixed-effects regression models, or simply mixed models. Mixed models are a versatile tool that can handle both balanced and unbalanced datasets and that can also be applied when several layers of grouping are present in the data; these layers can either be nested or crossed.
Measures of Language Proficiency in Censuses and Surveys: A Comparative Analysis and Assessment
This book offers a systematic analysis of a wide range of questions used in censuses, national surveys andinternational surveys to measure language proficiency. It addresses the urgent need in language related survey research for a comprehensive examination of the large existing body of survey data in order to provide a fuller understanding of the extent to which survey results are shaped by the way language proficiency questions are worded.