This book tackles the intricacies of decision-making processes where alternatives stem from distinct, finite sets. Discover the cutting-edge in decision-making with our groundbreaking book on complex two-sided matching methods. Harnessing the powe...Daugiau...
Bringing together a team of leading experts, this uniquely designed book surveys and compares an array of methods and approaches in corpus linguistic research to stimulate critical discussion of recent developments. This timely volume will be essenti...Daugiau...
This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language...Daugiau...
This book is an attempt to revisit the main specifically corpus-linguistic statistics/measures the field has been relying on for decades: frequency, dispersion, association, and keyness. The book first discusses the purpose of these measures and how...Daugiau...
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis.In the first comprehensive textbook o...Daugiau...
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorith...Daugiau...
(Išleidimo metai: 26-May-2022, Hardback, Leidėjas: Cambridge University Press, ISBN-13: 9781108499644)
Corpus linguistics continues to be a vibrant methodology applied across highly diverse fields of research in the language sciences. With the current steep rise in corpus sizes, computational power, statistical literacy and multipurpose software tool...Daugiau...
Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology. These days, their methods and mathematical models must also respond to new communication phenomena and the flood of data produced daily. While...Daugiau...
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R expla...Daugiau...
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R exp...Daugiau...
Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down for researchers in corpus linguis...Daugiau...
Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down&nb...Daugiau...
This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in...Daugiau...
This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, th...Daugiau...
Assuming no prior knowledge, this text provides a concise, practical and accessible introduction to using, analysing and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which stu...Daugiau...
Statistics for Linguistics: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus...Daugiau...
Statistics for Linguistics: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus...Daugiau...
