How are relationships established between the world's languages? This is one of the most topical and most controversial questions in contemporary linguistics. The central aims of this book are to answer this question, to cut through the controversies, and to contribute to research in distant genetic relationships. In doing this the authors aim to: (1) show how the methods have been employed; (2) reveal which methods, techniques, and strategies have proven successful and which ones have proven ineffective; (3) determine how particular language families were established; (4) evaluate several of the most prominent and more controversial proposals of distant genetic relationship (such as Amerind, Nostratic, Eurasiatic, Proto-World, and others); and (5) make recommendations for practice in future research. This book will contribute significantly to understanding language classification in general.
This book considers how languages have traditionally been divided into families, and asks how they should be classified in the future.
This volume adopts a practice-based approach to examine the different ways in which classification is communicated and negotiated in different environments within archaeology.
It seems likely that the early Mycenaean Greek speakers adopted the Linear A writing system, which may have been developed for a language typologically very diVerent from Greek, and used it for Greek as best they could, on the principle ...
Researchers employing such approaches use statistical methods to develop algorithms that allow for the mathematical classification of texts. The linguistic data that have traditionally informed text classification models have been ...
This book deals with systems of verb classification in Australian Aboriginal languages, with particular focus on languages of the north-west. It proposes a typology of the systems according to their...
The following chapter is then devoted to a discussion of the various aspects of the problems of classification. Chief among these is the method to be adopted in attempting to classify the Bantu languages.
This volume provides a comprehensive overview of state-of-the-art research on classification models and the typology of the Romance languages.
Explains how spam works, how network administrators can implement spam filters, or how programmers can develop new remarkably accurate filters using language classification and machine learning. Original. (Advanced)
Areal and Genetic Factors in Language Classification and Description: Africa South of the Sahara
Classification of the world's languages; Reference.