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Showing 1 to 15 of 17 results Save | Export
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Cheng-Yu Hsieh; Marco Marelli; Kathleen Rastle – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Most printed Chinese words are compounds built from the combination of meaningful characters. Yet, there is a poor understanding of how individual characters contribute to the recognition of compounds. Using a megastudy of Chinese word recognition (Tse et al., 2017), we examined how the lexical decision of existing and novel Chinese compounds was…
Descriptors: Semantics, Orthographic Symbols, Chinese, Reading Processes
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Scott Crossley; Joon Suh Choi – Reading Psychology, 2024
This paper examines links between perfect rhymes and text readability and decoding using a measure of English rhymes called the Perfect Rhymes Dictionary (PeRDict). PeRDict is based on the Carnegie Mellon University Pronouncing Dictionary (the CMUdict) and provides rhyme counts for ~48,000 words in English and for the most frequent 1,000, 2,500,…
Descriptors: Measurement Techniques, Phonology, Pronunciation, Dictionaries
Christopher Nicklin – ProQuest LLC, 2024
Since corpus linguistics gained popularity as a methodology in the latter half of the 20th century, second language acquisition research has seen the emergence of work investigating formulaic language, such as idioms, lexical bundles, and collocations. A collocation is a string of words that co-occur more routinely than probability would predict,…
Descriptors: Computational Linguistics, Phrase Structure, Language Processing, Native Language
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Nahatame, Shingo – Language Learning, 2021
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas,…
Descriptors: Readability, Natural Language Processing, Readability Formulas, Reading Processes
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Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
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McQuillan, Jeff – Reading Matrix: An International Online Journal, 2019
Some researchers have argued that low-achieving students may never acquire sufficient levels of academic vocabulary to be successful in school without some form of explicit vocabulary instruction (e.g. Snow, Lawrence, & White, 2009). In this paper, I summarize the available data on the efficiency, in words learned per minute of instruction, of…
Descriptors: Academic Language, Vocabulary Development, Computational Linguistics, Adolescent Literature
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Blomquist, Christina; McMurray, Bob – Developmental Psychology, 2023
As a spoken word unfolds over time, similar sounding words ("cap" and "cat") compete until one word "wins". Lexical competition becomes more efficient from infancy through adolescence. We examined one potential mechanism underlying this development: lexical inhibition, by which activated candidates suppress…
Descriptors: Speech Communication, Language Acquisition, Age Differences, Word Recognition
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D'Mello, Sidney K.; Southwell, Rosy; Gregg, Julie – Discourse Processes: A Multidisciplinary Journal, 2020
We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…
Descriptors: Discourse Analysis, Computer Software, Intervention, Computational Linguistics
Joseph P. Magliano; Lauren Flynn; Daniel P. Feller; Kathryn S. McCarthy; Danielle S. McNamara; Laura Allen – Grantee Submission, 2022
The goal of this study was to assess the relationships between computational approaches to analyzing constructed responses made during reading and individual differences in the foundational skills of reading in college readers. We also explored if these relationships were consistent across texts and samples collected at different institutions and…
Descriptors: Semantics, Computational Linguistics, Individual Differences, Reading Materials
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Hessel, Annina K.; Schroeder, Sascha – Discourse Processes: A Multidisciplinary Journal, 2020
This experiment investigated interactions between lower- and higher-level processing when reading in a second language (L2). We conducted an eye-tracking experiment with the within-subject manipulation inconsistency (to tap higher-level coherence-building) crossed with a within-subject manipulation of word-processing difficulty (to alter the ease…
Descriptors: Second Language Learning, Second Language Instruction, Reading Processes, Eye Movements
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Al-Harthi, Maha; Alshahrani, Hala J.; Hamed, Dalia M.; Ibrahim, Wesam M. A. – Eurasian Journal of Applied Linguistics, 2022
This paper investigates the frequency and contextual uses of the metadiscoursal devices of evidentials, code glosses, hedges and boosters in four academic disciplines, namely, linguistics, literature, chemistry and medicine. Hyland and Hinkel's taxonomies of metadiscourse provided the search items. The data analyzed consisted of a corpus of forty…
Descriptors: Interdisciplinary Approach, Computational Linguistics, Cues, Context Effect
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López-Beltrán, Priscila; Johns, Michael A.; Dussias, Paola E.; Lozano, Cristóbal; Palma, Alfonso – Second Language Research, 2022
Traditionally, it has been claimed that the non-canonical word order of passives makes them inherently more difficult to comprehend than their canonical active counterparts both in the first (L1) and second language (L2). However, growing evidence suggests that non-canonical word orders are not inherently more difficult to process than canonical…
Descriptors: Language Processing, Word Order, Form Classes (Languages), Native Language
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Yeldham, Michael – Language Teaching Research, 2020
This study examined the influence of formulaic language on second language (L2) listeners' lower-level processing, in terms of their ability to accurately identify the words in texts. On the one hand, there were reasons for expecting the presence of the formulas to advantage the learners, because the learners would process these formulaic words…
Descriptors: Phrase Structure, Language Processing, Second Language Learning, Second Language Instruction
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Hrdlicková, Zuzana – Advanced Education, 2020
Undergraduates of the University of Economics in Bratislava need to receive decent economic and legal education to be able to work successfully in different areas of the national economy and in the management structures of all levels. The previous research has shown that Slovakia follows a significant negative trend with performance in reading.…
Descriptors: English for Special Purposes, Foreign Countries, Undergraduate Students, Economics Education
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Zhao, Ting; Ren, Juan – Language Learning Journal, 2019
The present study aims to investigate the effects of gloss use, L2-gloss frequency and learner proficiency on incidental L2 lexical acquisition. A total of 163 university students in China were assigned to one of the three reading conditions: no gloss (NG), higher frequency L2 gloss (HFLG) and lower frequency L2 gloss (LFLG). The participants read…
Descriptors: Incidental Learning, Second Language Learning, Second Language Instruction, Recall (Psychology)
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