Learning the easy way: the role of form similarity in language learning and processing
dc.contributor.advisor
Pickering, Martin
dc.contributor.advisor
Matusevych, Yevgen
dc.contributor.advisor
Hartsuiker, Robert
dc.contributor.author
Winther, Irene E.
dc.date.accessioned
2025-07-14T08:56:12Z
dc.date.available
2025-07-14T08:56:12Z
dc.date.issued
2025-07-14
dc.description.abstract
A key question about bilingual lexical access is whether lexical representations are
activated selectively (within one language) or non-selectively (across languages). A
great deal of the research addressing this question has focused on cognates, translation
equivalents with the same or similar forms across languages. These studies show that,
in non-native language (L2) processing, cognates are usually recognised and produced
faster than non-cognates, suggesting that the form overlap between translation equivalents
contributes to a processing advantage. Traditionally, the advantage is assumed
to demonstrate on-line non-selective activation: For cognates, lexical activation stems
from two sources rather than one, as is the case with non-cognates. This converging
activation leads to their facilitated processing. However, some researchers argue that
cognate facilitation could be due to differences in how cognates and non-cognates are
learned, which leads to qualitatively different representations for cognates.
In this thesis, I focus on learning-based explanations of cognate effects and ask
to what extent these can account for cognate facilitation. First, I review findings of
cognate effects in both comprehension and production, evaluating whether they are more
consistent with learning-based or on-line accounts. Second, I explore whether neural
language models trained on two languages exhibit cognate facilitation and use this to
test learning-based hypotheses of the effect. Following this, I present two behavioural
experiments investigating cognate effects in human non-native speakers. The first
investigates how the language of instruction affects cognate facilitation in trilinguals to
examine whether cognate effects only occur between languages involved in learning.
The second tests whether bilinguals exhibit cognate effects in L2 prediction to shed
light on whether predictive processing is language selective. Taken together, this thesis
provides evidence that cognate facilitation can, in principle, be explained by learning. I
argue that while non-selective activation may occur during on-line processing, it is not
required to explain cognate effects. I call for a more nuanced approach to theories of
bilingual lexical access that allow for a more flexible role for language selectivity.
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dc.identifier.uri
https://hdl.handle.net/1842/43670
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http://dx.doi.org/10.7488/era/6202
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en
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Winther, I. E. (2017). The effect of semantic constraint on lexical access in bilingual word recognition [Master’s Thesis]. The University of Edinburgh
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dc.relation.hasversion
Can learning explain cognate effects in bilingual comprehension and production? Bilingualism through the Prism of Psycholinguistics: In honour of Albert Costa Edited by Mikel Santesteban, Jon Andoni Duñabeitia and Cristina Baus [Bilingual Processing and Acquisition 17] 2023 ► pp. 104–129 https://doi.org/10.1075/bpa.17.03win?locatt=mode:legacy
en
dc.relation.hasversion
Irene Elisabeth Winther, Yevgen Matusevych, Martin J Pickering, 'Cumulative Frequency Can Explain Cognate Facilitation in Language Models', 10.31234/osf.io/e2vft 43rd Proceedings of the Annual Meeting of the Cognitive Science Society
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dc.subject
bilinguals
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dc.subject
cognate recognition
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dc.subject
cognate advantage
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dc.subject
representations in memory
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dc.subject
computer models
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dc.subject
bilingual word recognition
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dc.subject
lexical activation
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dc.subject
learning-based
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dc.subject
neural language model
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dc.subject
trilinguals
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dc.title
Learning the easy way: the role of form similarity in language learning and processing
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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