28.2392, Books: Learning constructions from bilingual exposure: Matusevych

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LINGUIST List: Vol-28-2392. Tue May 30 2017. ISSN: 1069 - 4875.

Subject: 28.2392, Books: Learning constructions from bilingual exposure: Matusevych

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Date: Tue, 30 May 2017 12:23:49
From: Martine Paulissen [gw.uilots.lot at uu.nl]
Subject: Learning constructions from bilingual exposure: Matusevych

 


Title: Learning constructions from bilingual exposure 
Publication Year: 2017 
Publisher: Netherlands Graduate School of Linguistics / Landelijke (LOT)
	   http://www.lotpublications.nl/
	

Book URL: http://www.lotpublications.nl/learning-constructions-from-bilingual-exposure 


Author: Yevgen Matusevych

Paperback: ISBN:  9789460932236 Pages: 197 Price: Europe EURO 31.00


Abstract:

The majority of the world’s population speaks more than one language. At the
same time, individuals arrive at their knowledge of a second language via very
different trajectories. Moreover, an individual’s mastery of a second language
results from the interplay of numerous variables that are involved in the
learning process. This variability often constitutes a problem for traditional
research on bilingualism and second language acquisition with human
participants.

This thesis demonstrates how the method of cognitive computational modeling
can be used to eliminate unwanted sources of variation and facilitate a focus
on the phenomena of interest. The computational model employed here simulates
the process of bottom-up statistical learning of linguistic argument structure
constructions from bilingual input. After gaining constructional knowledge
from the input, the model is tested on carefully designed linguistic tasks.
This general approach is adopted here to study the role of variables such as
distributional and statistical input properties, the amount of linguistic
input, the time of second language onset, and cross-linguistic influence.

The reported studies are carried out within the usage-based framework, which
is widely adopted in cognitive linguistics. The work contributes to our
understanding of the role that statistical learning plays as a mechanism in
bilingual and second language acquisition, and the extent to which this
mechanism accounts for various forms of linguistic behavior commonly observed
in human participants. In addition, two novel multilingual corpora of argument
structure usage are presented, collected for providing input data to the
computational model.
 



Linguistic Field(s): Applied Linguistics
                     Cognitive Science
                     Computational Linguistics
                     Language Acquisition
                     Text/Corpus Linguistics


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=116857

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