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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."

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Academic Paper

Title: Using lexical features to investigate second language lexical decision performance
Author: Cynthia Berger
Author: Scott Crossley
Author: Stephen Skalicky
Linguistic Field: Applied Linguistics; Language Acquisition
Subject Language: English
Abstract: A large dataset of word recognition behavior from nonnative speakers (NNS) of English was collected using an online crowdsourced lexical decision task. Lexical features were used to predict NNS lexical decision latencies and accuracies. Predictors of NNS latencies and accuracy included contextual diversity, age of acquisition, and contextual distinctiveness, while length moderated the impact of contextual diversity and neighborhood size on accuracy. Results have implications for second language word recognition and demonstrate that NNS behavioral data collected through large crowdsourcing projects can afford a rich source for SLA research.


This article appears IN Studies in Second Language Acquisition Vol. 41, Issue 5, which you can READ on Cambridge's site .

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