The book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created are now available for both academia and industry worldwide. The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) generation, web mining, information extraction, and text to speech to name the most important ones.The book also shows how a medium-sized language community (spanning two territories) can create a digital language infrastructure (resources, tools, etc.) as a basis for subsequent R&D. At the same time, it bundles contributions of almost all the HLT research groups in Flanders and the Netherlands, hence offers a view of their recent research activities.Targeted readers are mainly researchers in human language technology, in particular those focusing on Dutch. It concerns researchers active in larger networks such as the CLARIN, META-NET, FLa Re Net and participating in conferences such as ACL, EACL, NAACL, COLING, RANLP, CICling, LREC, CLIN and DIR ( both in the Low Countries), Inter Speech, ASRU, ICASSP, ISCA, EUSIPCO, CLEF, TREC, etc. In addition, some chapters are interesting for human language technology policy makers and even for science policy makers in general.
Jan Odijk & Peter Spyns
Essential Speech and Language Technology for Dutch [EPUB ebook]
Results by the STEVIN-programme
Essential Speech and Language Technology for Dutch [EPUB ebook]
Results by the STEVIN-programme
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Language English ● Format EPUB ● ISBN 9783642309106 ● Editor Jan Odijk & Peter Spyns ● Publisher Springer Berlin Heidelberg ● Published 2013 ● Downloadable 3 times ● Currency EUR ● ID 5550239 ● Copy protection Adobe DRM
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