Language Network
Author:
Publisher: McDougal Littel
Published: 2001
Total Pages: 660
ISBN-13: 9780395967362
DOWNLOAD EBOOKGrade 6.
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Author:
Publisher: McDougal Littel
Published: 2001
Total Pages: 660
ISBN-13: 9780395967362
DOWNLOAD EBOOKGrade 6.
Author: David Pallmann
Publisher: John Wiley & Sons
Published: 2002-07-11
Total Pages: 690
ISBN-13: 0471272035
DOWNLOAD EBOOKCD-ROM contains: Scripts for tutorials in text.
Author: Holger Diessel
Publisher: Cambridge University Press
Published: 2019-08-15
Total Pages: 309
ISBN-13: 1108498817
DOWNLOAD EBOOKProvides a dynamic network model of grammar that explains how linguistic structure is shaped by language use.
Author:
Publisher: McDougal Littel
Published: 2001-05-30
Total Pages: 236
ISBN-13: 9780618153763
DOWNLOAD EBOOKAuthor:
Publisher: McDougal Littel
Published: 2001
Total Pages: 196
ISBN-13: 9780618052639
DOWNLOAD EBOOKAuthor: Richard A. Hudson
Publisher: Oxford University Press
Published: 2007
Total Pages: 289
ISBN-13: 9780199267309
DOWNLOAD EBOOK"Networks of Language" will interest all those concerned with the acquisition and everyday operations of language, in particular scholars and advanced students in linguistics, psychology, and cognitive
Author: Mark Warschauer
Publisher: Cambridge University Press
Published: 2000-01-13
Total Pages: 264
ISBN-13: 9780521667425
DOWNLOAD EBOOKThis collection of research in on-line communication for second language learning inlcudes use of electronic mail, real-time writing and the World Wide Web. It analyses the theories underlying computer-assisted learning.
Author: Angela D. Friederici
Publisher: MIT Press
Published: 2017-11-16
Total Pages: 300
ISBN-13: 0262036924
DOWNLOAD EBOOKA comprehensive account of the neurobiological basis of language, arguing that species-specific brain differences may be at the root of the human capacity for language. Language makes us human. It is an intrinsic part of us, although we seldom think about it. Language is also an extremely complex entity with subcomponents responsible for its phonological, syntactic, and semantic aspects. In this landmark work, Angela Friederici offers a comprehensive account of these subcomponents and how they are integrated. Tracing the neurobiological basis of language across brain regions in humans and other primate species, she argues that species-specific brain differences may be at the root of the human capacity for language. Friederici shows which brain regions support the different language processes and, more important, how these brain regions are connected structurally and functionally to make language processes that take place in milliseconds possible. She finds that one particular brain structure (a white matter dorsal tract), connecting syntax-relevant brain regions, is present only in the mature human brain and only weakly present in other primate brains. Is this the “missing link” that explains humans' capacity for language? Friederici describes the basic language functions and their brain basis; the language networks connecting different language-related brain regions; the brain basis of language acquisition during early childhood and when learning a second language, proposing a neurocognitive model of the ontogeny of language; and the evolution of language and underlying neural constraints. She finds that it is the information exchange between the relevant brain regions, supported by the white matter tract, that is the crucial factor in both language development and evolution.
Author: Yoav Goldberg
Publisher: Morgan & Claypool Publishers
Published: 2017-04-17
Total Pages: 311
ISBN-13: 162705295X
DOWNLOAD EBOOKNeural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Author:
Publisher: McDougal Littel
Published: 1999-10-29
Total Pages: 0
ISBN-13: 9780395967393
DOWNLOAD EBOOKGrade 9.