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Titlebook: Essential Speech and Language Technology for Dutch; Results by the STEVI Peter Spyns,Jan Odijk Book‘‘‘‘‘‘‘‘ 2013 The Editor(s) (if applicab

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發(fā)表于 2025-3-21 20:00:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Essential Speech and Language Technology for Dutch
副標(biāo)題Results by the STEVI
編輯Peter Spyns,Jan Odijk
視頻videohttp://file.papertrans.cn/316/315540/315540.mp4
概述Bundles contributions of almost all the HLT research groups in Flanders and the Netherlands.An overview of more than a decade of joint R&D effort in the Low Countries on HLT for Dutch.An exemplary way
叢書(shū)名稱(chēng)Theory and Applications of Natural Language Processing
圖書(shū)封面Titlebook: Essential Speech and Language Technology for Dutch; Results by the STEVI Peter Spyns,Jan Odijk Book‘‘‘‘‘‘‘‘ 2013 The Editor(s) (if applicab
描述.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 h
出版日期Book‘‘‘‘‘‘‘‘ 2013
關(guān)鍵詞68T50, 68T10, 91F20, 68T30, 03B65; R&D programme for Dutch; digital linguistic infrastructure; human la
版次1
doihttps://doi.org/10.1007/978-3-642-30910-6
isbn_softcover978-3-642-42992-7
isbn_ebook978-3-642-30910-6Series ISSN 2192-032X Series E-ISSN 2192-0338
issn_series 2192-032X
copyrightThe Editor(s) (if applicable) and the Author(s) 2013
The information of publication is updating

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The Neuroscience of Agency and Free Willnd policy initiatives amongst government officials of Flanders and the Netherlands concerning human language technology for Dutch. During the past decade, the cooperation between these partners has intensified over time and culminated in the definition and execution of a joint R&D programme, called
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Dennis Chiwele,Christopher Colcloughcations. In 2004 the Spoken Dutch Corpus (Corpus Gesproken Nederlands - CGN) became available, a corpus of standard Dutch as spoken by adult natives in the Netherlands and Flanders. CGN does not include speech of children, non-natives, elderly people and recordings of speech produced in human-machin
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https://doi.org/10.1007/978-3-031-03600-2munity. Indeed, researchers now are faced with the problem that no good speech recognition tool is available for their purposes or existing tools lack functionality or flexibility. This project has two primary goals that are accomplished within a single software framework. The first goal is to devel
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Carlos Andradas,Ludwig Br?cker,Jesús M. Ruiz question answering, recall should in principle increase when the available information is expanded by linking expressions in a text that refer to the same discourse entity. Most current state-of-the-art systems for coreference resolution are based on supervised machine learning, and require (large)
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Jim Thatcher,Paul Bohman,Cynthia D. Waddelldern information and communication technology.A semantic database makes it possible to go from words to concepts and consequently, to develop technologies that access and use knowledge rather than textual representations.
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