Objectif Toeic Sp Cial Reading

Ouvrage de préparation à la partie écrite du TOEIC® proposant un entraînement ciblé, complet et intensif avec dix sujets corrigés. S’appuyant sur des sujets de type officiel, il se compose de rappels des points essentiels de grammaire, de listes de lexique portant sur 29 thématiques, du vocabulaire, fonctionnel et récurrent, des conseils méthodologiques et propose de nombreux exercices et auto-tests pour évaluer ses connaissances et ses acquis. Les plus : • Une présentation de l’épreuve • Des conseils généraux pour aborder l’épreuve et s’entraîner efficacement • Des astuces pour gagner des points facilement • Du lexique tiré de tests TOEIC® portant sur 29 thématiques • Les mots à ne pas confondre et des expressions idiomatiques et proverbiales • Des activités intégralement corrigées • Des fiches récapitulatives pour comprendre la grammaire aisément et retenir le vocabulaire • 10 sujets d’entraînement corrigés • Une grille de conversion des points

An eye-opening look at the latest research findings about the success of free voluntary reading in developing high levels of literacy. Free voluntary reading looks better and more powerful than ever. Stephen D. Krashen, PhD, is an advocate for free voluntary reading in schools and has published many journal articles on the subject. Free Voluntary Reading: Power 2010 collects the last ten years of his extensive work and reconsiders all aspects of this important debate in light of the latest findings. The book provides an accessible examination of topics, such as free voluntary reading's value in language and literary acquisition domestically and worldwide, recent developments in support of free voluntary reading, whether rewards-based programs benefit the development of lifelong reading, the value of phonics in reading instruction, and trends in literacy in the United States.

This book is one of the most influential research studies on Second Language Learning ever undertaken. The Good Language Learner addresses key problems for teachers about the strategies that successful learners use, the attitudes they show to the language they are learning, the nature of their most successful experiences and similar issues. It is based on the direct experience of a wide range of learners. It enables us to recognise the combined roles of fluency activity and natural communication on the one hand, and accuracy activity with formal understanding of the language system and the mistakes that one is liable to make as a learner, on the other hand. Few works of empirical analysis in language teaching have had so much influence, and this edition should be an essential component of any teacher's library in local authority centres, schools, teacher education institutions, and the home library of language teachers.

Well-researched and often cited, this book is the go-to resource for literacy development through recreational reading on summer break. Shin and Krashen report that children who read recreationally over the summer return to the school year with gains in literacy, while children who do not backslide. Independent, voluntary reading will occur--whether skilled or challenged--as long as children are given access to books of quality and interest. An informative but friendly narrative explains the research-based plan for designing successful summer literacy programs. The appendix includes activities, blackline masters, and advice for commonly experienced challenges, such as working with administrators on summer program needs.

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

The field of language testing and assessment has recognized the importance and underlying theoretical and practical underpinnings of language assessment literacy (LAL), an area that is gradually coming to prominence. This book addresses issues that promote the concept of LAL for language research, teaching, and learning, covering a range of topics. It brings together 14 chapters based on high-stakes and classroom-based studies authored by academics, professionals and researchers in the field. The text examines diverse issues through a multifaceted approach, presenting high-quality contributions that fill a gap in a research area that has long been in need of theoretical and empirical attention.

This volume of specially commissioned articles examines theory and practice in EAP.