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Predicting nouns following adjectives in Greek-speaking adults

Age-related differences

ORCiD logo with link | The City University of New YorkNew YorkNY
 | The City University of New YorkNew YorkNY
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Abstract
Predictive language processing enables listeners to anticipate upcoming words using available linguistic cues. In Greek, adjectives provide both semantic information and grammatical-gender agreement, offering a unique window into how these cues jointly guide real-time comprehension. The present study examined how semantic and grammatical cues in adjectives influence prediction in adulthood. Thirty-three native speakers of Greek, divided into three age groups (19–30, 48–60, and 61–80 years), completed a webcam-based eye-tracking task using the Gorilla platform. Participants viewed a 2×2 visual array while listening to spoken sentences containing adjectives that varied in predictive informativeness across four conditions: No Cue, Semantic Only, Gender Only, and Semantic + Gender. Results showed that all age groups engaged in predictive processing, with the highest anticipatory fixations occurring when semantic and gender cues co-occurred. Younger adults demonstrated the earliest and strongest cue-based predictions, whereas older adults were slower overall, and relied more heavily on semantic information. These findings show the added value of examining morphology in the study of prediction and provide new evidence of age-related changes in the integration of linguistic cues during comprehension.
Article outline
  • Introduction
  • Method
    • Participants
    • Visual stimuli
    • Auditory stimuli
    • Design of the experiment
  • Procedure
  • Analysis
  • Results
  • Discussion
  • Limitations and future directions
  • Conclusion
  • Note
  • References
References (47)
References
Altmann, G. T. M., & Kamide, Y. (1999). Incremental interpretation at verbs: Restricting the domain of subsequent reference. Cognition, 73(3), 247–264. Google Scholar logo with link to Google Scholar
Anwyl-Irvine, A. L., Massonnié, J., Flitton, A., Kirkham, N., & Evershed, J. K. (2020). Gorilla in our midst: An online behavioral experiment builder. Behavior Research Methods, 52(1), 388–407. Google Scholar logo with link to Google Scholar
Aumeistere, A., Bultena, S., & Brouwer, S. (2022). Wisdom comes with age? The role of grammatical gender in predictive processing in Russian children and adults. Applied Psycholinguistics, 43(4), 867–887. Google Scholar logo with link to Google Scholar
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412. Google Scholar logo with link to Google Scholar
Barr, D. J. (2008). Analyzing “visual world” eye-tracking data using multilevel logistic regression. Journal of Memory and Language, 59(4), 457–474. Google Scholar logo with link to Google Scholar
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278. Google Scholar logo with link to Google Scholar
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.Google Scholar logo with link to Google Scholar
Bornkessel-Schlesewsky, I., & Schlesewsky, M. (2009). The role of prominence information in the real-time comprehension of transitive constructions: A cross-linguistic approach. Language and Linguistics Compass, 3(1), 19–58. Google Scholar logo with link to Google Scholar
Borovsky, A., Elman, J. L., & Fernald, A. (2012). Knowing a lot for one’s age: Vocabulary skill and not age is associated with anticipatory incremental sentence interpretation in children and adults. Journal of Experimental Child Psychology, 112(4), 417–436. Google Scholar logo with link to Google Scholar
Corps, R. E., Brooke, C., & Pickering, M. J. (2022). Prediction involves two stages: Evidence from visual-world eye-tracking. Journal of Memory and Language, 1221, 104298. Google Scholar logo with link to Google Scholar
Dahan, D., Swingley, D., Tanenhaus, M. K., & Magnuson, J. S. (2000). Linguistic gender and spoken-word recognition in French. Journal of Memory and Language, 42(4), 465–480. Google Scholar logo with link to Google Scholar
DeLong, K. A., Groppe, D. M., Urbach, T. P., & Kutas, M. (2012). Thinking ahead or not? Natural aging and anticipation during reading. Brain and Language, 121(3), 226–239. Google Scholar logo with link to Google Scholar
Federmeier, K. D. (2007). Thinking ahead: The role and roots of prediction in language comprehension. Psychophysiology, 44(4), 491–505. Google Scholar logo with link to Google Scholar
Federmeier, K. D., Kutas, M., & Schul, R. (2010). Age-related and individual differences in the use of prediction during language comprehension. Brain and Language, 115(3), 149–161. Google Scholar logo with link to Google Scholar
Federmeier, K. D., McLennan, D. B., De Ochoa, E., & Kutas, M. (2002). The impact of semantic memory organization and sentence context information on spoken language processing by younger and older adults: An ERP study. Psychophysiology, 39(2), 133–146. Google Scholar logo with link to Google Scholar
Fernandez, L., Nota, N., Gamboa, J. C. B., Amos, R. M., Corps, R. E., Hadley, L. V., & Pickering, M. J. (2026). Visual-world paradigm and divergence point analysis with bootstrapping: Researcher degrees of freedom in real and simulated data with recommendations. PsyArXiv. Google Scholar logo with link to Google Scholar
Grüter, T., Lau, E., & Ling, W. (2020). How classifiers facilitate predictive processing in L1 and L2 Chinese: The role of semantic and grammatical cues. Language, Cognition and Neuroscience, 35(2), 221–234. Google Scholar logo with link to Google Scholar
Henry, N., Hopp, H., & Jackson, C. N. (2017). Cue additivity and adaptivity in predictive processing. Language, Cognition and Neuroscience, 32(10), 1229–1249. Google Scholar logo with link to Google Scholar
Holton, D., Mackridge, P., Philippaki-Warburton, I., & Spyropoulos, V. (2012). Greek: A comprehensive grammar of the modern language. Routledge. Google Scholar logo with link to Google Scholar
Hopp, H. (2013). Grammatical gender in adult L2 acquisition: Relations between lexical and syntactic variability. Second Language Research, 29(1), 33–56. Google Scholar logo with link to Google Scholar
Huettig, F., & Altmann, G. T. (2005). Word meaning and the control of eye fixation: Semantic competitor effects and the visual world paradigm. Cognition, 96(1), B23–B32. Google Scholar logo with link to Google Scholar
Huettig, F., & Janse, E. (2016). Individual differences in working memory and processing speed predict anticipatory spoken language processing in the visual world. Language, Cognition and Neuroscience, 31(1), 80–93. Google Scholar logo with link to Google Scholar
Kamide, Y., Altmann, G. T. M., & Haywood, S. L. (2003). The time-course of prediction in incremental sentence processing: Evidence from anticipatory eye movements. Journal of Memory and Language, 49(1), 133–156. Google Scholar logo with link to Google Scholar
Kamide, Y., Scheepers, C., & Altmann, G. T. M. (2003). Integration of syntactic and semantic information in predictive processing: Cross-linguistic evidence from German and English. Journal of Psycholinguistic Research, 32(1), 37–55. Google Scholar logo with link to Google Scholar
Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 621, 621–647. Google Scholar logo with link to Google Scholar
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26.Google Scholar logo with link to Google Scholar
Lew-Williams, C., & Fernald, A. (2007). Young children learning Spanish make rapid use of grammatical gender in spoken word recognition. Psychological Science, 18(3), 193–198. Google Scholar logo with link to Google Scholar
MacDonald, M. C., Pearlmutter, N. J., & Seidenberg, M. S. (1994). The lexical nature of syntactic ambiguity resolution. Psychological Review, 101(4), 676–703. Google Scholar logo with link to Google Scholar
Mastropavlou, M., & Tsimpli, I. M. (2011). The role of suffixes in grammatical gender assignment in Modern Greek: A psycholinguistic study. Journal of Greek Linguistics, 111, 27–55. Google Scholar logo with link to Google Scholar
Matin, E., Shao, K. C., & Boff, K. R. (1993). Saccadic overhead: Information processing time with and without saccades. Perception & Psychophysics, 53(4), 372–380. Google Scholar logo with link to Google Scholar
Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2017). Balancing Type I error and power in linear mixed models. Journal of Memory and Language, 941, 305–315. Google Scholar logo with link to Google Scholar
McRae, K., Spivey-Knowlton, M. J., & Tanenhaus, M. K. (1998). Modeling the influence of thematic fit (and other constraints) in on-line sentence comprehension. Journal of Memory and Language, 38(3), 283–312. Google Scholar logo with link to Google Scholar
Mishra, R. K., Singh, N., Pandey, A., & Huettig, F. (2012). Spoken language-mediated anticipatory eye movements are modulated by reading ability: Evidence from Indian low and high literates. Journal of Eye Movement Research, 5(1), 1–10. Google Scholar logo with link to Google Scholar
Park, D. C., & Reuter-Lorenz, P. A. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 601, 173–196. Google Scholar logo with link to Google Scholar
Paspali, A., & Marinis, T. (2020). Gender attraction in Greek: Testing agreement errors in production. Frontiers in Psychology, 111, 717. Google Scholar logo with link to Google Scholar
Payne, B. R., & Federmeier, K. D. (2018). Contextual constraints on lexico-semantic processing in aging: Evidence from single-word event-related brain potentials. Brain Research, 16911, 104–117. Google Scholar logo with link to Google Scholar
Pickering, M. J., & Gambi, C. (2018). Predicting while comprehending language: A theory and review. Psychological Bulletin, 144(10), 1002–1054. Google Scholar logo with link to Google Scholar
Prystauka, Y., Altmann, G. T., & Rothman, J. (2024). Online eye tracking and real-time sentence processing: On opportunities and efficacy for capturing psycholinguistic effects of different magnitudes and diversity. Behavior Research Methods, 56(4), 3504–3522. Google Scholar logo with link to Google Scholar
R Core Team. (2024). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing.Google Scholar logo with link to Google Scholar
Ribu, I., Simonsen, H. G., Norvik, M., Lehtonen, M., Murstad, J., Theimann, A., Nygreen, T., & Goral, M. (2024). Prediction ability in bilingual individuals: An eye tracking study with younger and older adults. Journal of Cultural Cognitive Science. 81:309–333. Google Scholar logo with link to Google Scholar
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428. Google Scholar logo with link to Google Scholar
Slim, M. S., & Hartsuiker, R. J. (2023). Moving visual world experiments online? A web-based replication of Dijkgraaf, Hartsuiker, and Duyck (2017) using PCIbex and WebGazer. js. Behavior Research Methods, 55(7), 3786–3804. Google Scholar logo with link to Google Scholar
Szewczyk, J. M., & Schriefers, H. (2013). Prediction in language comprehension beyond specific words: An ERP study on sentence comprehension in Polish. Journal of Memory and Language, 68(4), 297–314. Google Scholar logo with link to Google Scholar
Tanenhaus, M. K., Spivey-Knowlton, M. J., Eberhard, K. M., & Sedivy, J. C. (1995). Integration of visual and linguistic information in spoken language comprehension. Science, 268(5217), 1632–1634. Google Scholar logo with link to Google Scholar
Trueswell, J. C., & Tanenhaus, M. K. (1994). Toward a lexicalist framework for constraint-based syntactic ambiguity resolution. In C. Clifton, L. Frazier, & K. Rayner (Eds.), Perspectives on sentence processing (pp. 155–179). Lawrence Erlbaum.Google Scholar logo with link to Google Scholar
Wicha, N. Y. Y., Moreno, E. M., & Kutas, M. (2004). Anticipating words and their gender: An event-related brain potential study of semantic integration, gender expectancy, and gender agreement in Spanish sentence reading. Journal of Cognitive Neuroscience, 16(7), 1272–1288. Google Scholar logo with link to Google Scholar
Wlotko, E. W., Federmeier, K. D., & Kutas, M. (2012). To predict or not to predict: Age-related differences in the use of sentential context. Psychology and Aging, 27(4), 975–988. Google Scholar logo with link to Google Scholar
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