The role of hyponymy and context concreteness in compound word processing

References

• Balota, David A., Michael J. Cortese, Susan D. Sergent-Marshall, Daniel H. Spieler & Melvin J. Yap. 2004. Visual word recognition for single-syllable words. Journal of Experimental Psychology: General 133(2), 283–316. https://doi.org/10.1037/0096-3445.133.2.283
   PubMed Web of Science ®Google Scholar
• Balota, David A., Melvin J. Yap, Michael J. Cortese, Keith I. Hutchison, Brett Kessler, Bjorn Loftis, James H. Neely, Douglas L. Nelson, Greg B. Simpson & Rebecca Treiman. 2007. The English Lexicon Project. Behavior Research Methods 39, 445–459. https://doi.org/10.3758/BF03193014
   PubMed Web of Science ®Google Scholar
• Brysbaert, Marc & Boris New. 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, 977–990. https://doi.org/10.3758/BRM.41.4.977
   PubMed Web of Science ®Google Scholar
• Brysbaert, Marc, Amy Beth Warriner & Victor Kuperman. 2014. Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods 46, 904–911. https://doi.org/10.3758/s13428-013-0403-5
   PubMed Web of Science ®Google Scholar
• Buchanan, Lori, Chris Westbury & Curt Burgess. 2001. Characterizing semantic space: Neighborhood effects in word recognition. Psychonomic Bulletin & Review 8(3), 531–544. https://doi.org/10.3758/BF03196189
   PubMed Web of Science ®Google Scholar
• Burnham, Kenneth P. & David R. Anderson. 2002. Model selection and multimodel inference: A practical information-theoretic approach, 2nd edn. New York: Springer. https://dx.doi.org/10.1007/b97636
   Google Scholar
• Charitonidis, Chariton. 2022. Context concreteness for the second constituent slows down compound-word processing. Lexis 20, n.p. https://doi.org/10.4000/lexis.6769
   Google Scholar
• Chen, Xiaocong, Yanping Dong & Xiufen Yu. 2018. On the predictive validity of various corpus-based frequency norms in L2 English lexical processing. Behavior Research Methods 50, 1–25. https://doi.org/10.3758/s13428-017-1001-8
   PubMed Web of Science ®Google Scholar
• Citron, Francesca M. M., Cristina Cacciari, Michael Kucharski, Luna Beck, Markus Conrad & Arthur M. Jacobs. 2016. When emotions are expressed figuratively: Psycholinguistic and affective norms of 619 idioms for German (PANIG). Behavior Research Methods 48, 91–111. https://doi.org/10.3758/s13428-015-0581-4
   PubMed Web of Science ®Google Scholar
• Cortese, Michael J. & Maya M. Khanna. 2007. Age of acquisition predicts naming and lexical-decision performance above and beyond 22 other predictor variables: An analysis of 2,342 words. Quarterly Journal of Experimental Psychology 60(8), 1072–1082. https://doi.org/10.1080/17470210701315467
   PubMed Web of Science ®Google Scholar
• Danguecan, Ashley N. & Lori Buchanan. 2016. Semantic neighborhood effects for abstract versus concrete words. Frontiers in Psychology 7 (Article 1034). https://doi.org/10.3389/fpsyg.2016.01034
   PubMedGoogle Scholar
• Gagné, Christina L., Thomas L. Spalding & Daniel Schmidtke. 2019. LADEC: The Large Database of English Compounds. Behavior Research Methods 51, 2152–2179. https://doi.org/10.3758/s13428-019-01282-6
   PubMed Web of Science ®Google Scholar
• Gagné, Christina L., Thomas L. Spalding, Patricia Spicer, Dixie Wong, Beatriz Rubio & Karen Perez Cruz. 2020. Is buttercup a kind of cup? Hyponymy and semantic transparency in compound words. Journal of Memory and Language 113. https://doi.org/10.1016/j.jml.2020.104110
   Web of Science ®Google Scholar
• Haider, Hubert. 2001. Why are there no complex head-initial compounds? In Chris Schaner-Wolles, John Rennison & Friedrich Neubart (eds.), Naturally!, 165–174. Torino: Rosenberg & Sellier. https://doi.org/10.1017/S1470542703250261
   Google Scholar
• Hastie, Trevor, Robert Tibshirani & Jerome Friedman. 2009. The elements of statistical learning: Data mining, inference, and prediction. 2nd edn. New York: Springer.
   Google Scholar
• Jackendoff, Ray. 2010. The ecology of English noun-noun compounds. In Ray Jackendoff (ed.), Meaning and the lexicon: The parallel architecture 1975–2010, 413–451. Oxford: Oxford University Press.
   Google Scholar
• Keuleers, Emmanuel, Paula Lacey, Kathleen Rastle & Marc Brysbaert. 2012. The British Lexicon Project: Lexical decision data for 28,730 monosyllabic and disyllabic English words. Behavior Research Methods 44, 287–304. https://doi.org/10.3758/s13428-011-0118-4
   PubMed Web of Science ®Google Scholar
• Kuperman, Victor. 2013. Accentuate the positive: Diagnostics of semantic access in English compounds. Frontiers in Language Sciences 4 (Article 203). https://doi.org/10.3389/fpsyg.2013.00203
   Google Scholar
• Kuperman, Victor. 2020. Modified and expanded norms for valence, arousal and dominance [ Data set]. https://osf.io/zj3u8 (last accessed on 19 April 2023).
   Google Scholar
• Libben, Gary, Christina L. Gagné & Wolfgang U. Dressler. 2020. The representation and processing of compounds words. In Vitto Pirrelli, Ingo Plag & Wolfgang U. Dressler (eds.), Word knowledge and word usage, 336–352. Berlin & Boston: de Gruyter. https://doi.org/10.1515/9783110440577-009
   Google Scholar
• Lieber, Rochelle & Pavol Štekauer. 2009. Introduction: Status and definition of compounding. In Rochelle Lieber & Pavol Štekauer (eds.), The Oxford handbook of compounding, 3–18. New York: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199695720.001.0001
   Google Scholar
• Löbner, Sebastian. 2013. Understanding semantics. 2nd edn. London: Routledge. https://doi.org/10.4324/9780203528334
   Google Scholar
• Norris, Dennis. 2013. Models of visual word recognition. Trends in Cognitive Sciences 17(10), 517–524. https://doi.org/10.1016/j.tics.2013.08.003
   PubMed Web of Science ®Google Scholar
• Ozer, Daniel J. 1985. Correlation and the coefficient of determination. Psychological Bulletin 97, 307–315. https://doi.org/10.1037/0033-2909.97.2.307
   Web of Science ®Google Scholar
• Paivio, Allan. 1978. The relationship between verbal and perceptual codes. In Edward C. Carterette & Morton P. Friedman (eds.), Perceptual coding, 375–397. New York & London: Academic Press. https://doi.org/10.1016/C2013-0-10468-0
   Google Scholar
• Paivio, Allan. 2007. Mind and its evolution: A dual coding theoretical approach. Mahwah, NJ: Erlbaum.
   Google Scholar
• Plag, Ingo. 2003. Word-formation in English. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511841323
   Google Scholar
• Scalise, Sergio & Antonio Fábregas. 2010. The head in compounding. In Sergio Scalise & Irene Vogel (eds.), Cross-disciplinary issues in compounding, 109–125. Amsterdam: John Benjamins. https://doi.org/10.1075/cilt.311.10sca
   Google Scholar
• Schreuder, Robert & R. Harald Baayen. 1995. Modeling morphological processing. In Laurie B. Feldman (ed.), Morphological aspects of language processing, 131–154. Hillsdale NJ: Erlbaum.
   Google Scholar
• Shaoul, Cyrus & Chris Westbury. 2013. A reduced redundancy usenet corpus (2005–2011) [Data set]. Edmonton, AB: University of Alberta. https://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html (last accessed on 19 April 2023).
   Google Scholar
• Snefjella, Bryor & Victor Kuperman. 2016. It’s all in the delivery: Effects of context valence, arousal, and concreteness on visual word processing. Cognition 156, 135–146. https://doi.org/10.1016/j.cognition.2016.07.010
   PubMed Web of Science ®Google Scholar
• Steiger, James H. 1980. Tests for comparing elements of a correlation matrix. Psychological Bulletin 87, 245–251. https://doi.org/10.1037/0033-2909.87.2.245
   Web of Science ®Google Scholar
• Warriner, Amy Beth, Victor Kuperman & Marc Brysbaert. 2013. Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods 45(4), 1191–1207. https://doi.org/10.3758/s13428-012-0314-x
   PubMed Web of Science ®Google Scholar
• Yao, Zhao, Jia Wu, Yanyan Zhang & Zhenhong Wang. 2016. Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words. Behavior Research Methods 49, 1374–1385. https://doi.org/10.3758/s13428-016-0793-2
   Web of Science ®Google Scholar