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Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
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Taghizadeh, Masoomeh – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Within the last two decades, researchers have begun to investigate how L2 learners process syntactic, morpho-syntactic, and lexical information during the comprehension of L2 sentences. The present study aimed to add to research by investigating how L1 influences L2 processing of sentences indicating plurality in constructions involving numerals.…
Descriptors: Nouns, Indo European Languages, Reaction Time, Language Processing
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Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
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Foote, Rebecca K.; Saadah, Eman – Arab Journal of Applied Linguistics, 2021
According to previous research, speakers of European languages parse regularly-inflected, morphologically-complex words into stems and grammatical affixes during word recognition. In contrast, some studies suggest that late second language (L2) learners do not. We ask how these types of words are processed in Arabic, a language whose primary…
Descriptors: Language Processing, Morphology (Languages), Morphemes, Word Recognition
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Kenett, Yoed N.; Levi, Effi; Anaki, David; Faust, Miriam – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We…
Descriptors: Semantics, Priming, Cognitive Processes, Language Processing
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Carroll, Susanne E. – International Review of Applied Linguistics in Language Teaching (IRAL), 2012
Sentence position and word length have been claimed to contribute to the perceptual salience of words. The perceptual salience of words in turn is said to predict L2 developmental sequences. Data for such claims come from sentence repetition tasks that required perceptual re-encoding of input and that did not control for focal accent. We used a…
Descriptors: Sentences, Morphemes, Native Speakers, Second Language Learning
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Roelofs, Ardi; Piai, Vitoria; Schriefers, Herbert – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
E. Dhooge and R. J. Hartsuiker (2010) reported experiments showing that picture naming takes longer with low- than high-frequency distractor words, replicating M. Miozzo and A. Caramazza (2003). In addition, they showed that this distractor-frequency effect disappears when distractors are masked or preexposed. These findings were taken to refute…
Descriptors: Attention Control, Attention, Experiments, Semantics