The Correlation Between Performances Among Lexical-Related Tasks and The Performance in The Sentence Construction Task

Azwar Abidin

doi:10.31332/lkw.v7i1.2362

The Correlation Between Performances Among Lexical-Related Tasks and The Performance in The Sentence Construction Task

Azwar Abidin

Abstract

This study employed a quantitative correlational design to explore the correlation between the students' performances among lexical-related tasks and how these tasks affect the performance in a sentence construction task. Using IBM SPSS Statistics Version 22’s Pearson Partial Correlation Test, this study calculated participants' performance in primary lexical attributes by recognizing the following aspects of lexical knowledge: pronunciation patterns, morphological structures, syntactic properties, semantic characteristics such as abstract and interconnectedness, and a complete sentence construction in a strict naturalistic classroom setting. The test results showed that the participants made 297.05 seconds on average for 42 correct responses in Lexical Decision Task, 5.88 seconds per picture projected on the screen in Picture-Naming Task, 8.33 seconds for each word in Semantic Judgment Task, and 30.17 seconds on average to complete a sentence. These results concluded that the participants' performance in identifying strings of letters does not correlate significantly with their performance in understanding how a particular word functions grammatically within a sentence. In terms of the level of automaticity, the participants’ performance exceeded the average performance. The findings suggested that their performance in understanding primary lexical attributes in single lexicons does not facilitate their understanding of semantic characteristics. Henceforth, the students’ lexical knowledge does not yet construct an integrated linguistic representation in the target language acquisition. The study confirmed previous evidence that stated that a better performance in lexical-related tasks significantly impacted sentence processing and construction skill.

Keywords

Vocabulary; Lexical decision task; Lexical processing; Linguistic performance; Sentence construction

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References

Aschenbrenner, A. J., & Yap, M. J. (2019). The influence of relatedness proportion on the joint relationship among word frequency, stimulus quality, and semantic priming in the lexical decision task. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/1747021819845317

Avneon, M., & Lamy, D. (2019). Do semantic priming and retrieval of stimulus-response associations depend on conscious perception? Consciousness and Cognition. https://doi.org/10.1016/j.concog.2019.01.010

Awwad, A., & Tavakoli, P. (2019). Task complexity, language proficiency and working memory: Interaction effects on second language speech performance. International Review of Applied Linguistics in Language Teaching. https://doi.org/https://doi.org/10.1515/iral-2018-0378

Blott, L., Rodd, J., Ferreira, F., & Warren, J. (2020). Recovery from misinterpretations during online sentence processing. Journal of Experimental Psychology: Learning, Memory, and Cognition. https://doi.org/10.31234/osf.io/3ejqy

Chersoni, E., Santus, E., Pannitto, L., Lenci, A., Blache, P., & Huang, C. R. (2019). A structured distributional model of sentence meaning and processing. Natural Language Engineering. https://doi.org/10.1017/S1351324919000214

Choi, W., Tong, X., & Singh, L. (2017). From lexical tone to lexical stress: A cross-language mediation model for cantonese children learning English as a second language. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2017.00492

Dóczi, B. (2019). An Overview of Conceptual Models and Theories of Lexical Representation in the Mental Lexicon. In The Routledge Handbook of Vocabulary Studies. https://doi.org/10.4324/9780429291586-4

Dye, C., Kedar, Y., & Lust, B. (2019). From lexical to functional categories: New foundations for the study of language development. First Language. https://doi.org/10.1177/0142723718809175

Entel, O., & Tzelgov, J. (2019). When Working Memory Meets Control in the Stroop Effect. Journal of Experimental Psychology: Learning Memory and Cognition. https://doi.org/10.1037/xlm0000790

Feeny, G. T., & Tucker, B. V. (2019). Emotion and Lexical Effects in an Auditory Lexical Decision Task With Vocal Affect. Education and Research Archive University of Alberta. https://doi.org/https://doi.org/10.7939/r3-fn84-db59

Gebril, A., & Plakans, L. (2016). Source-based tasks in academic writing assessment: Lexical diversity, textual borrowing and proficiency. Journal of English for Academic Purposes. https://doi.org/10.1016/j.jeap.2016.10.001

González-fernández, B., & Schmitt, N. (2020). Word Knowledge: Exploring the Relationships and Order of Acquisition of Vocabulary Knowledge Components. Applied Linguistics. https://doi.org/10.1093/applin/amy057

Harald Baayen, R., 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. https://doi.org/10.1155/2019/4895891

Harker, B., Leung, M., Fonseca, D., Halfyard, S., Sinclair, M., & May, S. (2019). Massive Auditory Lexical Decision : Investigating Performance in Noisy Environments. Education and Research Archive University of Alberta, 2–5. https://doi.org/https://doi.org/10.7939/r3-hrnv-sn79

Harvey, D. Y., Traut, H. J., & Middleton, E. L. (2019). Semantic interference in speech error production in a randomised continuous naming task: evidence from aphasia. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2018.1501500

Ji, Y. (2019). Chapter 10. Linguistic and mental representations of caused motion in Chinese and English children. https://doi.org/10.1075/hcp.67.12ji

Jiang, N. (2018). Second Language Processing: An Introduction. Taylor & Francis. https://books.google.co.id/books?id=-xZSDwAAQBAJ

Juhasz, B. J., Yap, M. J., Raoul, A., & Kaye, M. (2019). A further examination of word frequency and age-of-acquisition effects in English lexical decision task performance: The role of frequency trajectory. Journal of Experimental Psychology: Learning Memory and Cognition. https://doi.org/10.1037/xlm0000564

KIM, M., CROSSLEY, S. A., & KYLE, K. (2017). Lexical Sophistication as a Multidimensional Phenomenon: Relations to Second Language Lexical Proficiency, Development, and Writing Quality. The Modern Language Journal, 102(1), 120–141. https://doi.org/10.1111/modl.12447

Kyle, K., & Crossley, S. (2016). The relationship between lexical sophistication and independent and source-based writing. Journal of Second Language Writing. https://doi.org/10.1016/j.jslw.2016.10.003

Maldei, T., Koole, S. L., & Baumann, N. (2019). Listening to your intuition in the face of distraction: Effects of taxing working memory on accuracy and bias of intuitive judgments of semantic coherence. Cognition. https://doi.org/10.1016/j.cognition.2019.05.012

Masrai, A. (2019). Exploring the impact of individual differences in aural vocabulary knowledge, written vocabulary knowledge and working memory capacity on explaining L2 learners’ listening comprehension. Applied Linguistics Review. https://doi.org/10.1515/applirev-2018-0106

McKeown, M. G. (2019). Effective Vocabulary Instruction Fosters Knowing Words, Using Words, and Understanding How Words Work. Language, Speech, and Hearing Services in Schools, 50(4), 466–476. https://doi.org/10.1044/2019_LSHSS-VOIA-18-0126

Murteira, A., Sowman, P. F., & Nickels, L. (2019). Taking action in hand: effects of gesture observation on action verb naming. Language, Cognition and Neuroscience. https://doi.org/10.1080/23273798.2018.1552978

Ng, S., Payne, B. R., Liu, X., Anderson, C. J., Federmeier, K. D., & Stine-Morrow, E. A. L. (2020). Execution of Lexical and Conceptual Processes in Sentence Comprehension among Adult Readers as a Function of Literacy Skill. Scientific Studies of Reading, 24(4), 338–355. https://doi.org/10.1080/10888438.2019.1671849

Oseki, Y., Yang, C., & Marantz, A. (2019). Modeling Hierarchical Syntactic Structures in Morphological Processing. https://doi.org/10.18653/v1/w19-2905

Rebecca Gilbert, Matthew Davis, M. Gareth Gaskell, & Jennifer Rodd. (2019). Sentence structure and listening task affect the retuning of lexical-semantic representations. https://doi.org/10.31234/osf.io/qvaud

Sauval, K., Perre, L., & Casalis, S. (2018). Phonemic feature involvement in lexical access in grades 3 and 5: Evidence from visual and auditory lexical decision tasks. Acta Psychologica. https://doi.org/10.1016/j.actpsy.2017.12.002

Schmitt, N., & Schmitt, D. (2020). Vocabulary in Language Teaching. Cambridge University Press. https://books.google.co.id/books?id=jILoDwAAQBAJ

Sun, J., Wang, S., Zhang, J., & Zong, C. (2019). Towards Sentence-Level Brain Decoding with Distributed Representations. Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33017047

Tohru Matsuo. (2019). Measuring Japanese Learners’ Lexical Accuracy and Fluency Using A Lexical Decision Task. Departmental Bulletin Paper.

Vafaee, P., & Suzuki, Y. (2020). THE RELATIVE SIGNIFICANCE OF SYNTACTIC KNOWLEDGE AND VOCABULARY KNOWLEDGE IN SECOND LANGUAGE LISTENING ABILITY. Studies in Second Language Acquisition, 42(2), 383–410. https://doi.org/10.1017/S0272263119000676

Yanagisawa, A., & Webb, S. (2019). Measuring Depth of Vocabulary Knowledge. The Routledge Handbook of Vocabulary Studies, 371–386. https://doi.org/10.4324/9780429291586-24

Zhang, S., & Zhang, S. (2019). Experimental Study on a Two-string Lexical Decision Task: Non-Words and Words. International Journal of Recent Contributions from Engineering, Science & IT (IJES), 7(4), 77–85. https://onlinejour.journals.publicknowledgeproject.org/index.php/i-jes/article/viewFile/11715/6227