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The role of linguistic factors in the retention of verbatim information in reading: An eye-tracking study on L1 and L2 German

Published online by Cambridge University Press:  24 April 2024

Andreas Opitz*
Affiliation:
Herder-Institut, Leipzig University, Leipzig, Germany
Denisa Bordag
Affiliation:
Herder-Institut, Leipzig University, Leipzig, Germany University of Haifa, Haifa, Israel
Alberto Furgoni
Affiliation:
Herder-Institut, Leipzig University, Leipzig, Germany
*
Corresponding author: Andreas Opitz; Email: andreas.opitz@uni-leipzig.de
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Abstract

We investigated the retention of surface linguistic information during reading using eye-tracking. Departing from a research tradition that examines differences between meaning retention and verbatim memory, we focused on how different linguistic factors affect the retention of surface linguistic information. We examined three grammatical alternations in German that differed in involvement of changes in morpho-syntax and/or information structure, while their propositional meaning is unaffected: voice (active vs. passive), adverb positioning, different realizations of conditional clauses. Single sentences were presented and repeated, either identical or modified according to the grammatical alternation (with controlled interval between them). Results for native (N = 60) and non-native (N = 58) German participants show longer fixation durations for modified versus unmodified sentences when information structural changes are involved (voice, adverb position). In contrast, mere surface grammatical changes without a functional component (conditional clauses) did not lead to different reading behavior. Sensitivity to the manipulation was not influenced by language (L1, L2) or repetition interval. The study provides novel evidence that linguistic factors affect verbatim retention and highlights the importance of eye-tracking as a sensitive measure of implicit memory.

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Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Comparison across alternations of the most relevant linguistic characteristics

Figure 1

Table 2. Distribution of the sentences in each experimental condition per each experimental list

Figure 2

Table 3. Results of active-passive alternation (L1 and L2). Total reading times: Means and (SD) in ms

Figure 3

Figure 1. Results of voice alternation: mean total reading times for identical (“same”) or changed (“diff”) presentation of the sentence, grouped for language (L1 vs. L2) and sentence form (active vs. passive).

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Table 4. Mixed model ANOVA (type III) table for active-passive alternation

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Table 5. Results of alternation of adverbial position (L1 and L2). Total reading times: Means and (SD) in ms

Figure 6

Figure 2. Results of adverbial position alternation: mean total reading times for identical (“same”) or changed (“diff”) presentation of the sentence, grouped for language (L1 vs. L2) and sentence form (adverbial at the central vs. first position).

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Table 6. Mixed model ANOVA (type III) table for alternation of adverbial position

Figure 8

Table 7. Results of alternation of conditional clauses (L1 and L2). Total reading times: Means and (SD) in ms

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Figure 3. Results of conditional clause alternation: mean total times for identical (“same”) or changed (“diff”) presentation of the sentence, grouped for language (L1 vs. L2) and sentence form (conditional clause starting with conjunction or reduced (without conjunction)).

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Table 8. Mixed model ANOVA (type III) table for alternation of conditional clauses

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