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Grammar Time puts the sparkle into teaching grammar through cute cartoons and characters in the book and in the grammar-packed CD. Grammar Time prepares students for the Cambridge Young Learner's Test, KET and PET.
The teacher's book expands into a resource file and includes photocopiable activities that help the teacher to deliver lively and varied lessons. Easy-to-teach units are presented in a consistent format, and regular reviews and tests monitor student's progress.
How do humans acquire, at a very early age and from fragmentary and haphazard data, the complex patterns of their native language? This is the logical problem of language acquisition, and it is the question that directs the search for an innate universal grammar. As Time Goes By extends the search by proposing a theory of natural-language tense that will be responsive to the problem of language acquisition. The clearly written discussion proceeds step-by-step from simple observations and principles to far-reaching conclusions involving complex data carefully selected and persuasively presented. Throughout, Hornstein focuses on the logical problem of language acquisition, highlighting the importance of explanatory adequacy and the role of syntactic representations in determining intricate properties of semantic interpretation.
Grammar time reflects the likes and interests of young learners and puts grammar in imaginative and humorous contexts that make learning fun. Grammar Time gives learners all the support they need with detailed reference tables and grammar notes Special 'Tip' boxes appear next to the tasks to give useful advice on common difficulties. Easy-to-follow grammar practice in carefully graded learning steps. Controlled practice followed by the unique 'Teenlink' magazine, with freer contextualised tasks. Additional writing and oral practice at the end of each unit. Regular revision units and a comprehensive wordlist at the back. Handy Teacher's Book with extra resources and photocopiable quizzes.
This is the first full-scale reference grammar of Classical Greek in English in a century. The first work of its kind to reflect significant advances in linguistics made in recent decades, it provides students, teachers and academics with a comprehensive yet user-friendly treatment. The chapters on phonology and morphology make full use of insights from comparative and historical linguistics to elucidate complex systems of roots, stems and endings. The syntax offers linguistically up-to-date descriptions of such topics as case usage, tense and aspect, voice, subordinate clauses, infinitives and participles. An innovative section on textual coherence treats particles and word order and discusses several sample passages in detail, demonstrating new ways of approaching Greek texts. Throughout the book numerous original examples are provided, all with translations and often with clarifying notes. Clearly laid-out tables, helpful cross-references and full indexes make this essential resource accessible to users of all levels.
Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems. It was designed for a distributed computing environment, with special attention given to conserving computer code and system resources. While the tangible result of this work is a Java production graphics library, the text focuses on the deep structures involved in producing quantitative graphics from data. It investigates the rules that underlie pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts. These rules are abstracted from the work of Bertin, Cleveland, Kosslyn, MacEachren, Pinker, Tufte, Tukey, Tobler, and other theorists of quantitative graphics.
The Grammar Time series provides reference and practice books for 8-15 year olds that use humorous cartoons, drawings and photographs to introduce and practice the English language.
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.
The Grammar Time series provides reference and practice books for 8-15 year olds that use humorous cartoons, drawings and photographs to introduce and practice the English language.