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New dataset tracks L2 learners' cognitive effort in processing idioms

Researchers have developed and validated an eye-tracking dataset to study how second-language learners process idiomatic expressions. The dataset captures cognitive costs associated with literal-first processing in L2 English speakers of varying proficiency levels, using data from Portuguese native speakers. Preliminary analysis shows a strong link between language proficiency and regressive eye movements, suggesting the dataset can serve as a benchmark for evaluating human processing models and large language models' figurative understanding. AI

IMPACT Provides a new benchmark for evaluating the figurative understanding capabilities of large language models.

RANK_REASON This is a research paper presenting a new dataset for evaluating language processing models.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset tracks L2 learners' cognitive effort in processing idioms

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This is a research paper presenting a new dataset for evaluating language processing models.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Eduardo Santos, Juliana Carvalho, C\'esar Renn\'o-Costa ·

    Assessing Cognitive Effort in L2 Idiomatic Processing: An Eye-Tracking Dataset

    arXiv:2605.04857v1 Announce Type: new Abstract: This paper presents the development and validation of an eye-tracking dataset designed to investigate how second-language (L2) learners process idiomatic expressions. While native speakers often rely on direct retrieval of figurativ…

  2. arXiv cs.CV TIER_1 English(EN) · César Rennó-Costa ·

    Assessing Cognitive Effort in L2 Idiomatic Processing: An Eye-Tracking Dataset

    This paper presents the development and validation of an eye-tracking dataset designed to investigate how second-language (L2) learners process idiomatic expressions. While native speakers often rely on direct retrieval of figurative meanings, L2 speakers frequently adopt a liter…