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 Barriere, 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,
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