In an era of ever-growing data and technological advancements, the field of language sciences is undergoing a transformative shift. Researchers and linguists are now able to tap into vast amounts of linguistic data, enabling collaborative and data-intensive research like never before. The development and utilization of Linguistic Linked Open Data (LLOD) resources have become key in unlocking the potential for groundbreaking discoveries and insights in language-related studies. This book serves as a comprehensive guide to the development and utilization of LLOD resources for collaborative data-intensive research in the language sciences.

Of the approximately 7,000 languages in the world, at least half may no longer be spoken by the end of the twenty-first century. Languages are endangered by a number of factors, including globalization, education policies, and the political, economic and cultural marginalization of minority groups. This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies. The chapter authors have hands-on experience of language revitalization in many countries around the world, and each chapter includes a wealth of examples, such as case studies from specific languages and language areas. Clearly and accessibly written, it is suitable for non-specialists as well as academic researchers and students interested in language revitalization. This book is also available as Open Access on Cambridge Core.

Nexus Analysis presents an exciting theory by two of the leading names in discourse analysis and provides a practical guide to its application. The authors argue that discourse analysis can itself be a form of social action. If the discourse analyst is part of the nexus of practice under study, then the analysis can itself transform that nexus of practice. Focussing on their own involvement with and analysis of pioneering communication technologies in Alaska they identify moments of social importance in order to examine the links between social practice, culture and technology. Media are identified not only as means of expressing change but also as catalysts for change itself, with the power to transform the socio-cultural landscape. In this intellectually exciting yet accessible book, Ron Scollon and Suzie Wong Scollon present a working example of their theory in action and provide a personal snapshot of a key moment in the history of communication technology, as the Internet transformed Alaskan life.

This report analyses all aspects of cultural diversity, which has emerged as a key concern of the international community in recent decades, and maps out new approaches to monitoring and shaping the changes that are taking place. It highlights, in particular, the interrelated challenges of cultural diversity and intercultural dialogue and the way in which strong homogenizing forces are matched by persistent diversifying trends. The report proposes a series of ten policy-oriented recommendations, to the attention of States, intergovernmental and non-governmental organizations, international and regional bodies, national institutions and the private sector on how to invest in cultural diversity. Emphasizing the importance of cultural diversity in different areas (languages, education, communication and new media development, and creativity and the marketplace) based on data and examples collected from around the world, the report is also intended for the general public. It proposes a coherent vision of cultural diversity and clarifies how, far from being a threat, it can become beneficial to the action of the international community.

This book focuses on learner-computer interactions (LCI) in second language learning environments drawing largely on sociocultural theories of language development. It brings together a rich and varied range of theoretical discussions and applications in order to illustrate the way in which LCI can enrich our comprehension of technology-mediated communication, hence enhancing learners' digital literacy skills. The book is based on the premise that, in order to fully understand the nature of language and literacy development in digital spaces, researchers and practitioners in linguistics, sciences and engineering need to borrow from each others' theoretical and practical toolkits. In light of this premise, themes include such aspects as educational ergonomics, affordances, complex systems learning, learner personas and corpora, while also describing such data collecting tools as video screen capture devices, eye-tracking or intelligent learning tutoring systems. The book should be of interest to applied linguists working in CALL, language educators and professionals working in education, as well as computer scientists and engineers wanting to expand their work into the analysis of human/learner interactions with technology communication devices with a view to improving or (re)developing learning and communication instruments. As of January 2019, this e-book is freely available, thanks to the support of libraries working with Knowledge Unlatched.

It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.