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The "Fat Face" illusion: A robust adaptation for processing pairs of faces
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In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-03579276 ; Vision Research, Elsevier, 2022, 195, pp.108015. ⟨10.1016/j.visres.2022.108015⟩ (2022)
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Faculty of Arts Research Unit for Multilingualism and Cross- cultural Communication (RUMACCC) ...
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Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition ...
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Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ...
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EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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Compilable Neural Code Generation with Compiler Feedback ...
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Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition ...
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Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints ...
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An Adversarial Benchmark for Fake News Detection Models ...
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Processing Aspectual Agreement in a Language with Limited Morphological Inflection by Second Language Learners: An ERP Study of Mandarin Chinese
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In: Brain Sciences; Volume 12; Issue 5; Pages: 524 (2022)
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Abstract:
Previous studies on the neural cognitive mechanisms of aspectual processing in second language (L2) learners have focused on Indo-European languages with rich inflectional morphology. These languages have aspects which are equipped with inflected verb forms combined with auxiliary or modal verbs. Meanwhile, little attention has been paid to Mandarin Chinese, which has limited morphological inflection, and its aspect is equipped with aspectual particles (e.g., le, zhe, guo). The present study explores the neurocognitive mechanism of Mandarin Chinese aspect processing among two groups of late Mandarin Chinese proficient learners with Thai (with Mandarin Chinese-like aspect markers) and Indonesian (lack of Mandarin Chinese-like aspect markers) as their first language (L1). We measured event-related potentials (ERPs) time locked to the aspect marker le in two different conditions (the aspect violation sentences and the correct sentences). A triphasic ELAN-LAN-P600 effect was produced by the Mandarin Chinese native speakers. However, there was no ELAN and LAN in Indonesian native speakers and Thai native speakers, except a 300–500 ms negativity widely distributed in the right hemisphere and P600-like effect. This suggests that both groups of Mandarin Chinese learners cannot reach the same level as Mandarin Chinese native speakers to process Mandarin Chinese aspect information, probably due to the complex feature of Mandarin Chinese aspect maker, the participants’ L2 proficiency and age of L2 acquisition.
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Keyword:
aspect; ERP; Mandarin Chinese; processing; second language learners
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URL: https://doi.org/10.3390/brainsci12050524
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MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
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In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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Rapid Identification of Patients Eligible for Direct Emergent Computed Tomography Angiography during Acute Ischemic Stroke: The DARE-PACE Assessment
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In: Diagnostics; Volume 12; Issue 2; Pages: 511 (2022)
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Addressing Syntax-Based Semantic Complementation: Incorporating Entity and Soft Dependency Constraints into Metonymy Resolution
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In: Future Internet; Volume 14; Issue 3; Pages: 85 (2022)
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Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
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S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition
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In: Sensors; Volume 22; Issue 8; Pages: 2852 (2022)
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Students’ Attitudes and Competences in Modeling Using 3D Cartoon Toy Design Maker
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In: Sustainability; Volume 14; Issue 4; Pages: 2176 (2022)
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Cumulative Effects of Physical, Chemical, and Biological Measures on Algae Growth Inhibition
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In: Water; Volume 14; Issue 6; Pages: 877 (2022)
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Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
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A Multitask Learning Framework for Abuse Detection and Emotion Classification
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In: Algorithms; Volume 15; Issue 4; Pages: 116 (2022)
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