Article published In:
The Mental Lexicon
Vol. 18:1 (2023) ► pp.120150
References
Aiken, L. S., & West, S. G.
(1991) Multiple regression: Testing and interpreting interactions. Sage Publications, Inc.Google Scholar
Baayen, R. H., Chuang, Y.-Y., Shafaei-Bajestan, E., & Blevins, J. P.
(2019) The discriminative lexicon: A unified computational model for the lexicon and lexical processing in comprehension and production grounded not in (de) composition but in linear discriminative learning. Complexity, 2019. DOI logoGoogle Scholar
Baayen, R. H., Milin, P., Durđević, D. F., Hendrix, P., & Marelli, M.
(2011) An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological review, 118 (3), 438. DOI logoGoogle Scholar
Bartolotti, J., & Marian, V.
(2017) Orthographic knowledge and lexical form influence vocabulary learning. Applied Psycholinguistics, 38 (2), 427–456. DOI logoGoogle Scholar
Bordag, D., Kirschenbaum, A., Rogahn, M., & Tschirner, E.
(2017) The role of orthotactic probability in incidental and intentional vocabulary acquisition L1 and L2. Second Language Research, 33 (2), 147–178. DOI logoGoogle Scholar
Brysbaert, M., & New, B.
(2009) Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41 (4), 977–990. DOI logoGoogle Scholar
Chan, K. Y., & Vitevitch, M. S.
(2009) The influence of the phonological neighborhood clustering coefficient on spoken word recognition. Journal of Experimental Psychology: Human Perception and Performance, 35 (6), 1934.Google Scholar
Chetail, F.
(2015) Reconsidering the role of orthographic redundancy in visual word recognition. Frontiers in Psychology, 6 1, 645. DOI logoGoogle Scholar
Dijkstra, T., Wahl, A., Buytenhuijs, F., Van Halem, N., Al-Jibouri, Z., De Korte, M., & Rekké, S.
(2019) Multilink: A computational model for bilingual word recognition and word translation. Bilingualism: Language and Cognition, 22 (4), 657–679. DOI logoGoogle Scholar
Ellis, N. C.
(2006) Selective attention and transfer phenomena in L2 acquisition: Contingency, cue competition, salience, interference, overshadowing, blocking, and perceptual learning. Applied linguistics, 27 (2), 164–194. DOI logoGoogle Scholar
Ellis, N. C., & Beaton, A.
(1993) Psycholinguistic determinants of foreign language vocabulary learning. Language Learning, 43 (4), 559–617. DOI logoGoogle Scholar
Gaskell, M. G., & Dumay, N.
(2003) Lexical competition and the acquisition of novel words. Cognition, 89 (2), 105–132. DOI logoGoogle Scholar
Grainger, J., Midgley, K., & Holcomb, P. J.
(2010, December). Re-thinking the bilingual interactive-activation model from a developmental perspective (BIA-d). In M. Kail & M. Hickmann (Eds.), Language Acquisition across Linguistic and Cognitive Systems (pp. 267–283). John Benjamins Publishing Company. DOI logoGoogle Scholar
Hosmer, D. W., & Lemeshow, S.
(2000) Assessing the fit of the model. In Applied logistic regression (pp. 143–202). John Wiley & Sons, Ltd. DOI logoGoogle Scholar
Kroll, J. F., Hell, J. G. V., Tokowicz, N., & Green, D. W.
(2010) The revised hierarchical model: A critical review and assessment. Bilingualism: Language and Cognition, 13 (3), 373–381. DOI logoGoogle Scholar
Leach, L., & Samuel, A. G.
(2007) Lexical configuration and lexical engagement: When adults learn new words. Cognitive Psychology, 55 (4), 306–353. DOI logoGoogle Scholar
McClelland, J. L., & Elman, J. L.
(1986) The TRACE model of speech perception. Cognitive Psychology, 18 (1), 1–86. DOI logoGoogle Scholar
Miwa, K., & Baayen, H.
(2021) Nonlinearities in bilingual visual word recognition: An introduction to generalized additive modeling. Bilingualism: Language and Cognition, 24 (5), 825–832. DOI logoGoogle Scholar
Rescorla, R. A., & Wagner, A. R.
(1972) A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. Classical Conditioning II: Current Research and Theory, 64–99.Google Scholar
Serrano, F., Genard, N., Sucena, A., Defior, S., Alegria, J., Mousty, P., Leybaert, J., Castro, S. L., & Seymour, P. H. K.
(2011) Variations in reading and spelling acquisition in Portuguese, French and Spanish: A cross-linguistic comparison. Journal of Portuguese Linguistics, 10 (1). DOI logoGoogle Scholar
Settles, B., Brust, C., Gustafson, E., Hagiwara, M., & Madnani, N.
(2018) Second language acquisition modeling. Proceedings of the NAACL-HLT Workshop on Innovative Use of NLP for Building Educational Applications (BEA). DOI logoGoogle Scholar
Seymour, P. H. K., Aro, M., & Erskine, J. M.
(2003) Foundation literacy acquisition in European orthographies. British Journal of Psychology, 94 (2), 143–174. DOI logoGoogle Scholar
Stamer, M. K., & Vitevitch, M. S.
(2012) Phonological similarity influences word learning in adults learning Spanish as a foreign language. Bilingualism: Language and Cognition, 15 (3), 490–502. DOI logoGoogle Scholar
Storkel, H. L.
(2004) Do children acquire dense neighborhoods? An investigation of similarity neighborhoods in lexical acquisition. Applied Psycholinguistics, 25 (2), 201–221. DOI logoGoogle Scholar
Storkel, H. L., Armbruster, J., & Hogan, T. P.
(2006) Differentiating phonotactic probability and neighborhood density in adult word learning. Journal of Speech, Language, and Hearing Research, 49 (6), 1175–1192. DOI logoGoogle Scholar
Storkel, H. L., & Lee, S.-Y.
(2011) The independent effects of phonotactic probability and neighbourhood density on lexical acquisition by preschool children. Language and Cognitive Processes, 26 (2), 191–211. DOI logoGoogle Scholar
Storkel, H. L., & Rogers, M. A.
(2000) The effect of probabilistic phonotactics on lexical acquisition. Clinical Linguistics & Phonetics, 14 (6), 407–425. DOI logoGoogle Scholar
van der Velde, M., Sense, F., Borst, J., & van Rijn, H.
(2021) Alleviating the cold start problem in adaptive learning using data-driven difficulty estimates. Computational Brain & Behavior, 4 (2), 231–249. DOI logoGoogle Scholar
Verbeke, G., & Lesaffre, E.
(1997) The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data. Computational Statistics Data Analysis, 23 (4), 541–556. DOI logoGoogle Scholar
Wood, S. N.
(2013) A simple test for random effects in regression models. Biometrika, 100 (4), 1005–1010. DOI logoGoogle Scholar
(2017) Generalized additive models: An introduction with R (Second). Chapman & Hall/CRC. DOI logoGoogle Scholar
Yap, M. J., & Balota, D. A.
(2015) Visual word recognition. In The Oxford handbook of reading (pp. 26–43). Oxford University Press.Google Scholar
Yarkoni, T., Balota, D., & Yap, M.
(2008) Moving beyond Coltheart’s N: A new measure of orthographic similarity. Psychonomic bul letin & Review, 15 (5), 971–979. DOI logoGoogle Scholar