Descripción
Hardcover, viii + 545 pages, NOT ex-library. A fine copy, clean and bright throughout, with firm binding and unmarked text; free of inscriptions and stamps. Issued without a dust jacket. Shipping weight over 1kg / 2.2lb. -- A comprehensive volume that explores various methods and case studies for quantifying linguistic variation across different languages. The book brings together linguists, computational scientists, and language typologists to address the challenges of comparing languages, whether through phonological, morphological, syntactic, or semantic differences. It highlights both traditional methods and innovative computational tools, demonstrating how linguistic distance can be measured and analyzed using techniques such as phylogenetic inference, cluster analysis, network models, and statistical approaches. The volume is divided into two parts. The first part offers case studies that focus on specific linguistic families, such as Arawakan, Dravidian, and Indo-European, to illustrate how computational models and linguistic theory intersect in the study of language relationships. These studies present empirical research on how language learning difficulty, language divergence, and pronunciation differences are connected to linguistic distance. The second part introduces methods and tools for language classification and comparison, including discussions of dictionary databases, typological distance metrics, network analysis, and black box approaches for genealogical classification. This book is essential for linguists and computational language researchers, providing insight into the current trends and methodologies in the study of language variation. It also serves as a reference for scholars interested in language evolution, language learning, and the application of technology to linguistic analysis. -- Contents: Introduction - The Why and How of Measuring Linguistic Differences; Case Studies - Contrasting Linguistics and Archaeology in the Matrix Model: GIS and Cluster Analysis of the Arawakan Languages / Gerd Carling; Predicting Language-Learning Difficulty / Michael Cysouw; How Aberrant Are Divergent Indo-European Subgroups? / Folke Josephson; Measuring Socially Motivated Pronunciation Differences / John Nerbonne; Distance-Based Phylogenetic Inference Algorithms in the Subgrouping of Dravidian Languages / Taraka Rama; Carving Tibeto-Kanauri by Its Joints: Using Basic Vocabulary Lists for Genetic Grouping of Languages / Anju Saxena; Effect of Linguistic Distance Across Indo-European Mother Tongues on Learning Dutch as a Second Language / Job Schepens; Using Semantically Restricted Word-Lists to Investigate Relationships Among Athapaskan Languages / Conor Snoek; Languages with Longer Words Have More Lexical Change / Soren Wichmann; Methods and Tools - Intercontinental Dictionary Series: Rich and Principled Database for Language Comparison / Lars Borin; Towards Automated Language Classification: A Clustering Approach / Armin Buch; Dependency-Sensitive Typological Distance / Harald Hammarstrom; Degrees of Semantic Control in Measuring Aggregated Lexical Distances / Kris Heylen; Word Similarity, Cognation, and Translational Equivalence / Grzegorz Kondrak; Comparing Linguistic Systems of Categorisation / William B. McGregor; Black Box Approaches to Genealogical Classification and Their Shortcomings / Jelena Prokic & Steven Moran; Semantic Typologies by Means of Network Analysis of Bilingual Dictionaries / Ineta Sejane & Steffen Eger; Measuring Morphosemantic Language Distance in Parallel Texts / Bernhard Wälchli & Ruprecht von Waldenfels; Information-Theoretic Modeling of Etymological Sound Change / Hannes Wettig, Javad Nouri, Kirill Reshetnikov & Roman Yangarber; Index.
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