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Can sentence generation eliminate the translation-ambiguity disadvantage?

Tovar, Andrea (2022) Can sentence generation eliminate the translation-ambiguity disadvantage? Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

When learning a new language, a challenge that individuals face is learning translation-ambiguous words, or words that have more than one translation. An example of this is the Dutch word jas, which has two English translations (coat and jacket). Prior research has found that translation-ambiguous words are processed more slowly, and less accurately than translation-unambiguous words (i.e., words with a single translation). This processing difficulty has been labeled as the translation-ambiguity disadvantage. The present study attempts to diminish the translation-ambiguity disadvantage by using sentence generation through a multi-session training paradigm; sentence generation was compared to a yoked control condition in which participants read sentences that were generated by the generation condition. Participants were tested using a translation recognition task. I present results from 44 participants and review the implications of the study in relation to the revised Distributed Conceptual Model (Laxén, & Lavaur, 2010), the Two Factor Model (Hirshman & Bjork, 1988), and The Levels of Processing Framework (Craik & Tulving, 1975).


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Tovar, Andreaant138@pitt.eduant138
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairTokowicz, Natashatokowicz@pitt.edu
Committee MemberWarren, Tessatessa@pitt.edu
Committee MemberPerfetti, Charlesperfetti@pitt.edu
Date: 30 April 2022
Date Type: Publication
Defense Date: 4 April 2022
Approval Date: 25 October 2024
Submission Date: 8 April 2022
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 44
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Psychology
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: learning; deep learning; L2 learning; generation; translation-ambiguity; translation-ambiguity disadvantage; ambiguity
Date Deposited: 25 Oct 2024 19:12
Last Modified: 28 Oct 2024 12:14
URI: http://d-scholarship.pitt.edu/id/eprint/42544

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