THE DYNAMIC INTERPLAY OF PHONOLOGY AND SEMANTICS IN MEDIA AND COMMUNICATION: AN INTERDISCIPLINARY EXPLORATION
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Alamri, A. (2017). Phonological, Semantic and Root Activation in Spoken Word Recognition in Arabic: Evidence from Eye Movements (Doctoral dissertation, Université d'Ottawa/University of Ottawa). https://ruor.uottawa.ca/handle/10393/36053
Alamri, A. A., & Zamuner, T. S. (2015). Phonological, semantic, and root activation in spoken word recognition in Arabic: An eye-tracking study. In Proceedings of the annual conference of the Canadian Linguistics Association (pp. 1–15).
Avila Varela, D. S. (2022). Phonological and Semantic Overlap Between Words: Effects on Recognition of Familiar and Recently Acquired Words in Early Childhood. https://ediss.uni-goettingen.de/handle/11858/13990
Diaz, M. T., Johnson, M. A., Burke, D. M., Truong, T. K., & Madden, D. J. (2017). Age-related differences in the influence of task-irrelevant information on the neural bases of phonological and semantic processes. bioRxiv, 136606. https://www.biorxiv.org/content/10.1101/136606v1.abstract
Dickens, J. V., Fama, M. E., DeMarco, A. T., Lacey, E. H., Friedman, R. B., & Turkeltaub, P. E. (2019). Localization of phonological and semantic contributions to reading. Journal of Neuroscience, 39(27), 5361-5368. https://www.jneurosci.org/content/39/27/5361.abstract
Edler, D., Bohlin, L., & Rosvall, M. (2017). Mapping higher-order network flows in memory and multilayer networks with infomap. Algorithms, 10(4), 112. https://www.mdpi.com/1999-4893/10/4/112
Elsisy, A., Mandviwalla, A., Szymanski, B. K., & Sharkey, T. (2022). A network generator for covert network structures. Information Sciences, pp. 584, 387–398. https://www.sciencedirect.com/science/article/pii/S0020025521010884
Enarvi, S., Smit, P., Virpioja, S., & Kurimo, M. (2017). Automatic speech recognition with extensive conversational Finnish and Estonian vocabularies. IEEE/ACM Transactions on audio, speech, and language processing, 25(11), 2085-2097. https://ieeexplore.ieee.org/abstract/document/8015196
Fawcett, J. M., Bodner, G. E., Paulewicz, B., Rose, J., & Wakeham-Lewis, R. (2022). Production can enhance semantic encoding: Evidence from forced-choice recognition with homophone versus synonym lures. Psychonomic Bulletin & Review, 29(6), 2256-2263. https://link.springer.com/article/10.3758/s13423-022-02140-x
Fourtassi, A., Bian, Y., & Frank, M. C. (2020). The growth of children's semantic and phonological networks: Insight from 10 languages. Cognitive Science, 44(7), e12847. https://onlinelibrary.wiley.com/doi/full/10.1111/cogs.12847
Gafni, C., & Tsur, R. (2021). Studying emotive effects in poetry by quantifying open-ended impressions. Empirical Studies of the Arts, 39(2), 216-242. https://journals.sagepub.com/doi/abs/10.1177/0276237420984718
Ha, H., Han, H., Mun, S., Bae, S., Lee, J., & Lee, K. (2019). An improved multilevel semantic network visualization study for analyzing sentiment words of movie review data. Applied Sciences, 9(12), 2419. https://www.mdpi.com/2076-3417/9/12/2419
Han, G., Liu, L., Zhang, W., & Chan, S. (2018). A hierarchical jammed-area mapping service for ubiquitous communication in smart communities. IEEE Communications Magazine, 56(1), 92–98. https://ieeexplore.ieee.org/abstract/document/8255745
Kent, C., & Rafaeli, S. (2016, January). How interactive is a semantic network? Concept maps and discourse in knowledge communities. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 2095-2104). IEEE. https://ieeexplore.ieee.org/abstract/document/7427446
Lei, C. M. (2018). Hemispheric Lateralization for Language Examined with Chinese Characters (Doctoral dissertation, University of Pittsburgh). http://d-scholarship.pitt.edu/33398/
Levy, O., Kenett, Y. N., Oxenberg, O., Castro, N., De Deyne, S., Vitevitch, M. S., & Havlin, S. (2021). Unveiling the nature of the interaction between semantics and phonology in lexical access based on multilayer networks. Scientific reports, 11(1), 14479. https://www.nature.com/articles/s41598-021-93925-y
Marini, A., Zettin, M., & Galetto, V. (2014). Cognitive correlates of narrative impairment in moderate traumatic brain injury. Neuropsychologia, 64, 282-288. https://www.sciencedirect.com/science/article/abs/pii/S0028393214003479
Sandgren, O., Andersson, K., Lyberg Åhlander, V., Rosqvist, I., Hansson, K., & Sahlén, B. (2023). A randomized controlled trial of the effectiveness of teacher continued professional development on student language outcomes. International Journal of Language & Communication Disorders, 58(3), 879-891. https://onlinelibrary.wiley.com/doi/full/10.1111/1460-6984.12829
Sarubbo, S., De Benedictis, A., Merler, S., Mandonnet, E., Barbareschi, M., Dallabona, M., ... & Duffau, H. (2016). Blunt dissection and direct electrical stimulation reveal structural and functional integration between dorsal and ventral language streams. Human brain mapping, 37(11), 3858-3872. https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.23281
Sezer, O. B., Dogdu, E., Ozbayoglu, M., & Onal, A. (2016, December). An extended IoT framework with semantics, big data, and analytics. In 2016 IEEE international conference on big data (big data) (pp. 1849-1856). IEEE. https://ieeexplore.ieee.org/abstract/document/7840803
Stella, M., Citraro, S., Rossetti, G., Marinazzo, D., Kenett, Y. N., & Vitevitch, M. S. (2022). Cognitive modeling with multilayer networks: Insights, advancements, and future challenges. arXiv preprint arXiv:2210.00500. https://arxiv.org/abs/2210.00500
Wild, T., Braun, V., & Viswanathan, H. (2021). Joint design of communication and sensing for beyond 5G and 6G systems. IEEE Access, p. 9, 30845–30857. https://ieeexplore.ieee.org/abstract/document/9354629
Wu, S., & Ma, Z. (2017). Native-Language Phonological Interference in Early Hakka–Mandarin Bilinguals’ Visual Recognition of Chinese Two-Character Compounds: Evidence from the Semantic-Relatedness Decision Task. Journal of psycholinguistic research, 46, 57-75. https://link.springer.com/article/10.1007/s10936-016-9420-8
Zaharchuk, H. A., & Karuza, E. A. (2021). Multilayer networks: An untapped tool for understanding bilingual neurocognition. Brain and Language, 220, 104977. https://www.sciencedirect.com/science/article/abs/pii/S0093934X21000717
Zemla, J. C., Cao, K., Mueller, K. D., & Austerweil, J. L. (2020). SNAFU: The semantic network and fluency utility. Behavior research methods, 52, 1681-1699. https://link.springer.com/article/10.3758/s13428-019-01343-w
DOI: http://dx.doi.org/10.46827/ejals.v6i2.479
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