Connectionism and Second Language Acquisition

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A01=Yasuhiro Shirai
Author_Yasuhiro Shirai
Bilingualism
Category=CB
Category=CF
Category=CFDC
Category=CFDM
Category=JMR
cognitive modeling
computational linguistics
Connectionism
Connectionist Accounts
Connectionist Applications
Connectionist Research
Connectionist Simulation
Connections
Critical Period Effects
Critical Period Hypothesis
Dual Mechanism Model
Early L2 Learning
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ERP Experiment
experimental psycholinguistics
Hidden Units
High Frequency Regulars
Implicit Learning
Irregular Past
L1 Transfer
L2 Acquisition
L2 Learner
L2 Word Recognition
Language Acquisition
language processing models
Late L2 Learning
Localist Connectionist Model
Morpheme Acquisition Order
neural computation
neural network language learning
Past Tenses
PDP Model
psycholinguistics
Regular Past
Regular Plurals
Rules
Running Network Simulations
Second Language Acquisition
Simple Recurrent Network
SLA
SLA Research
SLA Researcher

Product details

  • ISBN 9780415528917
  • Weight: 362g
  • Dimensions: 152 x 229mm
  • Publication Date: 06 Aug 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The latest title in the Cognitive Science and Second Language Acquisition Series presents a comprehensive review of connectionist research in second language acquisition (SLA). Second language researchers and the cognitive science community will find accessible discussions of the relevance of connectionist research to SLA. This important volume is key reading for any student or researcher interested in how second language acquisition can be better understood from a connectionist perspective.

Yasuhiro Shirai is Professor of Applied Linguistics and Cognitive Science and Eirik Borve Professor of Modern Languages in the Department of Modern Languages and Literatures at Case Western Reserve University, USA. He is an associate editor of First Language, and serves on several editorial boards, including Studies in Second Language Acquisition, IRAL, and Journal of Cognitive Science.

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