This groundbreaking study takes a novel approach to reduplication, a phenomenon whereby languages use repetition to create new words. Sharon Inkelas and Cheryl Zoll present a new model of reduplication--Morphological Doubling Theory --that derives the full range of reduplication patterns. This approach argues for a theoretical shift in phonology that entails more attention to word structure.
This book proposes a new way of understanding the behavior of consonants and vowels in a broad cross-section of the world's languages. A new model of subsegmental phonology within optimality theory that differs from standard autosegmental phonology both in its limited use of representational distinctions and in the form of the grammar to which the representations submit is introduced. The research focuses particularly on floating features and ghost segments, and demonstrates that the current understanding of segmental representation fails to characterize the full range of subsegmental phenomena found cross-linguistically. Zoll proposes instead an analysis in which the grammar derives the variety of surface phenomena from a single underlying representation. This work both enlarges the empirical foundation on which an adequate theory of segment structure must be based, and in developing such an account sheds new light on classic problems of subsegmental parsing.
This groundbreaking new study takes a novel approach to reduplication, a phenomenon whereby languages use repetition to create new words. Sharon Inkelas and Cheryl Zoll argue that the driving force in reduplication is identity at the morphosyntactic, not the phonological level, and present a new model of reduplication - Morphological Doubling Theory - that derives the full range of reduplication patterns. This approach shifts the focus away from the relatively small number of cases of phonological overapplication and underapplication, which have played a major role in earlier studies, to the larger class of cases where base and reduplicant diverge phonologically. The authors conclude by arguing for a theoretical shift in phonology, which entails more attention to word structure. As well as presenting the authors' pioneering work, this book also provides a much-needed overview of reduplication, the study of which has become one of the most contentious in modern phonological theory.
Bring the latest statistical tools to bear on predicting future variables and outcomes A huge range of fields rely on forecasts of how certain variables and causal factors will affect future outcomes, from product sales to inflation rates to demographic changes. Time series analysis is the branch of applied statistics which generates forecasts, and its sophisticated use of time oriented data can vastly impact the quality of crucial predictions. The latest computing and statistical methodologies are constantly being sought to refine these predictions and increase the confidence with which important actors can rely on future outcomes. Time Series Analysis and Forecasting presents a comprehensive overview of the methodologies required to produce these forecasts with the aid of time-oriented data sets. The potential applications for these techniques are nearly limitless, and this foundational volume has now been updated to reflect the most advanced tools. The result, more than ever, is an essential introduction to a core area of statistical analysis. Readers of the third edition of Time Series Analysis and Forecasting will also find: Updates incorporating JMP, SAS, and R software, with new examples throughout Over 300 exercises and 50 programming algorithms that balance theory and practice Supplementary materials in the e-book including solutions to many problems, data sets, and brand-new explanatory videos covering the key concepts and examples from each chapter. Time Series Analysis and Forecasting is ideal for graduate and advanced undergraduate courses in the areas of data science and analytics and forecasting and time series analysis. It is also an outstanding reference for practicing data scientists.
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