This fourth edition has been fully revised and continues to provide a balanced and detailed guide to the theoretical landscape. Each theory is applied to a wide range of languages, including Bengali, Chinese, English, French, German, Italian, Punjabi, Portuguese and Spanish. A broad spectrum of texts is analysed, including the Bible, Buddhist sutras, Beowulf, the fiction of García Márquez and Proust, European Union and UNESCO documents, a range of contemporary films, a travel brochure, a children’s cookery book and the translations of Harry Potter.

This book collects research contributions concerning quantitative approaches to characterize originality and universality in language. The target audience comprises researchers and experts in the field but the book may also be beneficial for graduate students.

This volume explores the challenges of teaching and learning Science, Technology, Engineering and Mathematics (STEM) subjects in local languages and local contexts in a range of countries around the world. Many countries around the world, including African countries, have been largely excluded from the transformation that is going on in STEM pedagogy in the USA, where the emphasis is on the importance of language choice and the development of English Language Learner (ELL). STEM subjects in many parts of the world have been taught in a global language, mainly English, rather than using a local language and local curriculum.

While the term “culture wars” often designates the heated arguments in the English-speaking world spiraling around race, the canon, and affirmative action, in fact these discussions have raged in diverse sites and languages. Race in Translation charts the transatlantic traffic of the debates within and between three zones—the U.S., France, and Brazil. Stam and Shohat trace the literal and figurative translation of these multidirectional intellectual debates, seen most recently in the emergence of postcolonial studies in France, and whiteness studies in Brazil.

This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.