Language is the most essential medium of scientific activity. Many historians, sociologists and science studies scholars have investigated scientific language for this reason, but only few have examined those cases where language itself has become an object of scientific discussion. Over the centuries scientists have sought to control, refine and engineer language for various epistemological, communicative and nationalistic purposes. This book seeks to explore cases in the history of science in which questions or concerns with language have bubbled to the surface in scientific discourse. This opens a window into the particular ways in which scientists have conceived of and construed language as the central medium of their activity across different cultural contexts and places, and the clashes and tensions that have manifested their many attempts to engineer it to both preserve and enrich its function. The subject of language draws out many topics that have mostly been neglected in the history of science, such as the connection between the emergence of national languages and the development of science within national settings, and allows us to connect together historical episodes from many understudied cultural and linguistic venues such as Eastern European and medieval Hebrew science.

Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers. This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences. With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures. Contributors Isabelle Barrière, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zinn

What is a language? What do scientific grammars tell us about the structure of individual languages and human language in general? What kind of science is linguistics? These and other questions are the subject of Ryan M. Nefdt's Language, Science, and Structure. Linguistics presents a unique and challenging subject matter for the philosophy of science. As a special science, its formalisation and naturalisation inspired what many consider to be a scientific revolution in the study of mind and language. Yet radical internal theory change, multiple competing frameworks, and issues of modelling and realism have largely gone unaddressed in the field. Nefdt develops a structural realist perspective on the philosophy of linguistics which aims to confront the aforementioned topics in new ways while expanding the outlook toward new scientific connections and novel philosophical insights. On this view, languages are real patterns which emerge from complex biological systems. Nefdt's exploration of this novel view will be especially valuable to those working in formal and computational linguistics, cognitive science, and the philosophies of science, mathematics, and language.

First published in 1989. This volume has emerged from the International Colloquium on the Comparative Study of Japanese Society. Held at Noosa Heads in Queensland from 29 January to 6 February 1982, the colloquium brought together participants from eight countries to discuss about thirty papers. The participants came with a common sense of dissatisfaction with the 'group model' or 'consensus-oriented theories' as a means of understanding Japanese society. The papers and discussion focused on alternative approaches for conceptualizing Japanese society and on methodological issues in the comparative study of Japanese society.

This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.