This collection is a resource book for those working with language disordered clients in a range of languages. It collects together versions of the well-known Language Assessment Remediation Screening Procedure (LARSP) prepared for different languages. Starting with the original version for English, the book then presents versions in more than a dozen other languages. Some of these are likely to be encountered as home languages of clients by speech-language therapists and pathologists working in the UK, Ireland, the US and Australia and New Zealand. Others are included because they are major languages found where speech-language pathology services are provided, but where no grammatical profile already exists.

This reference discusses how automata and language theory can be used to understand solutions to solving equations in groups and word problems in groups. Examples presented include, how Fine scale complexity theory has entered group theory via these connections and how cellular automata, has been generalized into a group theoretic setting. Chapters written by experts in group theory and computer science explain these connections.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Where does the book belong? Does it enshrine the soul of a nation, or is it a means by which nations talk to one another, sharing ideas, technologies, texts? This book, the first in a two-volume set of original essays, responds to these questions with archive-based case studies of print culture in a number of countries around the world.

This engaging textbook bridges the gap between traditional and functional grammar. Starting with a traditional approach, students will develop a firm grasp of traditional tools for analysis and learn how SFG (Systemic Functional Grammar) can be used to enrich the traditional formal approach. Using a problem-solving approach, readers explore how grammatical structures function in different contexts by using a wide variety of thought-provoking and motivating texts including advertisements, cartoons, phone calls and chatroom dialogue. Each chapter focuses on a real world issue or problem that can be investigated linguistically, such as "mis"-translation or problems arising from a communication disorder. By working on these problems, students will become equipped to understand and analyze formal and functional grammar in different genres and styles. With usable and accessible activities throughout, Exploring English Grammar is ideal for upper undergraduate and postgraduate students of English language and linguistics.

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.