Lexical vs. structural cue use in L2 prediction: filler-gap parsing ability shapes learners' information use

This study examines whether second language (L2) sentence processing is governed by the same underlying mechanisms as native language processing or whether it relies on qualitatively distinct mechanisms. Using the visual-world paradigm and permutation analyses, we compared native English speakers and Japanese second language (L2) learners of English in processing globally ambiguous filler-gap dependencies (e.g., Where did Lizzie tell someone that she was going to catch butterflies?). By distinguishing L2 learners based on their comprehension accuracy for unambiguous filler-gap sentences, we identified systematic variation in the mechanisms guiding predictive processing. High-accuracy learners exhibited anticipatory eye-movement patterns comparable to those of native speakers, consistent with the use of structurally guided predictive dependency formation. In contrast, low-accuracy learners also showed predictive behavior, but this prediction was driven primarily by lexical or surface-level regularities rather than structural information. Importantly, neither the structure-based prediction observed in the high-accuracy group nor the lexical cue-based predictive observed in the low-accuracy group can be attributed to direct transfer from Japanese. Together, these results support a gradient view of L2 sentence processing in which qualitatively different predictive mechanisms coexist and may shift as a function of learners' structural computation ability, rather than a simple contrast between non-predictive and native-like processing.

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Publication Details

Journal
Frontiers in Language Sciences
Published
2026-03-04
DOI
https://doi.org/10.3389/flang.2026.1756463
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
Field-Weighted Citation Impact
0.00

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article

Lexical vs. structural cue use in L2 prediction: filler-gap parsing ability shapes learners' information use

Chie Nakamura, Noriaki Yusa, Yoichi Miyamoto, Suzanne Flynn
Frontiers in Language Sciences
Neurobiology of Language and Bilingualism
article

Lexical vs. structural cue use in L2 prediction: filler-gap parsing ability shapes learners' information use

Chie Nakamura, Noriaki Yusa, Yoichi Miyamoto, Suzanne Flynn
article en

Abstract

This study examines whether second language (L2) sentence processing is governed by the same underlying mechanisms as native language processing or whether it relies on qualitatively distinct mechanisms. Using the visual-world paradigm and permutation analyses, we compared native English speakers and Japanese second language (L2) learners of English in processing globally ambiguous filler-gap dependencies (e.g., Where did Lizzie tell someone that she was going to catch butterflies?). By distinguishing L2 learners based on their comprehension accuracy for unambiguous filler-gap sentences, we identified systematic variation in the mechanisms guiding predictive processing. High-accuracy learners exhibited anticipatory eye-movement patterns comparable to those of native speakers, consistent with the use of structurally guided predictive dependency formation. In contrast, low-accuracy learners also showed predictive behavior, but this prediction was driven primarily by lexical or surface-level regularities rather than structural information. Importantly, neither the structure-based prediction observed in the high-accuracy group nor the lexical cue-based predictive observed in the low-accuracy group can be attributed to direct transfer from Japanese. Together, these results support a gradient view of L2 sentence processing in which qualitatively different predictive mechanisms coexist and may shift as a function of learners' structural computation ability, rather than a simple contrast between non-predictive and native-like processing.

Frontiers in Language SciencesVol. 5
Waseda University (JP), Miyagi Gakuin Women's University (JP), Massachusetts Institute of Technology (US)
Japan Society for the Promotion of Science
Quality Education
Openalex Percentile: Top 38%
Neurobiology of Language and Bilingualism
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