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2 - Semantic Awareness in Reading Chinese

from Part One - Writing System/Neuro-cognitive Processing of Chinese

Published online by Cambridge University Press:  04 August 2022

Chu-Ren Huang
Affiliation:
The Hong Kong Polytechnic University
Yen-Hwei Lin
Affiliation:
Michigan State University
I-Hsuan Chen
Affiliation:
University of California, Berkeley
Yu-Yin Hsu
Affiliation:
The Hong Kong Polytechnic University
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Summary

The primary function of language is to convey what we mean for communication. Semantics, a subfield of linguistics, aims to understand how meanings are encoded and operate in different levels of linguistic forms (such as morphemes, words, phrases, sentences, and discourses). The cumulative evidence thus far has mainly been based on native speaker intuitions about the meanings of linguistic forms in language usage. With recent breakthroughs in neuroimaging techniques, neurolinguistic research has been used to test and evaluate theories put forth by theoretical linguistics by measuring the brain activity underlying language processes. This chapter reviews a series of neurolinguistics studies that took N400, an event–related potentials (ERPs) component to index the semantic processing, to investigate how the brain processes meaning conveyed by Chinese radicals, characters, classifiers, and the leading context of sentences. These findings make essential contributions to the growing understanding of when and how meanings are extracted, represented, and processed in the brain for language comprehension.

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Publisher: Cambridge University Press
Print publication year: 2022

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References

Abernethy, Marjorie, and Coney, Jeffery1993. Associative priming in the hemispheres as a function of SOANeuropsychologia 31(12):13971409.Google Scholar
Ahrens, Kathleen. 1994. Classifier production in normals and aphasics. Journal of Chinese Linguistics 22(2):202247.Google Scholar
Barber, Horacio A., and Kutas, Marta. 2007. Interplay between computational models and cognitive electrophysiology in visual word recognition. Brain Research Review 53(1):98123.CrossRefGoogle ScholarPubMed
Barber, Horacio A., Otten, Leun J., Kousta, Stavroula-Thaleia, and Vigliocco, Gabriella. 2013. Concreteness in word processing: ERP and behavioral effects in a lexical decision task. Brain and Language 125(1):4753.CrossRefGoogle Scholar
Beretta, Alan, Fiorentino, Robert, and Poeppel, David. 2005. The effects of homonymy and polysemy on lexical access: An MEG study. Cognitive Brain Research 24(1):5765.CrossRefGoogle ScholarPubMed
Chang, Chih-Ting, Lee, Chia-Ying, Chou, Chia-Ju, Fuh, Jong-Ling, and Wu, Hsin-Chi. 2016. Predictability effect on N400 reflects the severity of reading comprehension deficits in aphasia. Neuropsychologia 81:117128.CrossRefGoogle ScholarPubMed
Chang, Ya-Ning, Hsu, Chun-Hsien, Tsai, Jie-Li, Chen, C. L., and Lee, Chia-Ying. 2015. A psycholinguistic database for traditional Chinese character naming. Behavior Research Methods.Google Scholar
Chao, Yuen Ren. 1968. A grammar of spoken Chinese. Berkeley, CA: University of California Press.Google Scholar
Chen, May Jane, and Weekes, Brendan S.. 2004. Effects of semantic radicals on Chinese character categorization and character decision. Journal of Psychology 46(2–3):181196.Google Scholar
Chou, Chia-Ju, Huang, Hsu-Wen, Lee, Chia-Lin, and Lee, Chia-Ying. 2014. Effects of semantic constraint and cloze probability on Chinese classifier–noun agreement. Journal of Neurolinguistics 31:4254.CrossRefGoogle Scholar
Coch, Donna. 2015. The N400 and the fourth grade shift. Developmental Science 18(2):254269.CrossRefGoogle ScholarPubMed
Coch, Donna, and Benoit, Clarisse. 2015. N400 event-related potential and standardized measures of reading in late elementary school children: Correlated or independent? Mind, Brain, and Education 9(3):145153.Google Scholar
Coch, Donna, and Holcomb, Philips J.. 2003. The N400 in beginning readers. Developmental Psychobiology 43(2):146166.CrossRefGoogle ScholarPubMed
Collins, Marjorie. 1999. Differences in semantic category priming in the left and right cerebral hemispheres under automatic and controlled processing conditionsNeuropsychologia 37(9): 10711085.Google Scholar
Corcos, Evelyne, and Willows, Dale M.. 1993. The role of visual processing in good and poor readers’ utilization of orthographic information in letter strings. In Facets of dyslexia and its remediation, ed. Groner, S. F. and Wright, R., 95106. Amsterdam: North-Holland/Elsevier Science Publishers.CrossRefGoogle Scholar
Dambacher, Michael, Goellner, Kristin, Nuthmann, Antje, Jacobs, Arthur, and Kliegl, Reinhold. 2008. Frequency and predictability effects on event-related potentials and eye-movements. International Journal of Psychology 43(3–4):4647.Google Scholar
Dambacher, Michael, and Kliegl, Reinhold. 2007. Synchronizing timelines: Relations between fixation durations and N400 amplitudes during sentence reading. Brain Research 1155:147162.Google Scholar
Dambacher, Michael, Kliegl, Reinhold, Hofmann, Markus, and Jacobs, Arthur M.. 2006. Frequency and predictability effects on event-related potentials during reading. Brain Research 1084(1):89103.Google Scholar
DeLong, Katherine A., Groppe, David M., Urbach, Thomas P., and Kutas, Marta. 2012. Thinking ahead or not? Natural aging and anticipation during reading. Brain and Language 121(3):226239.CrossRefGoogle ScholarPubMed
Duffy, Susan A., Henderson, John M., and Morris, Robin K.. 1989. Semantic facilitation of lexical access during sentence processing. Journal of Experimental Psychology: Learning, Memory, and Cognition 15(5):791801.Google ScholarPubMed
Federmeier, Kara D. 2007. Thinking ahead: The role and roots of prediction in language comprehension. Psychophysiology 44(4):491505.Google Scholar
Federmeier, Kara D., and Kutas, Marta. 2005. Aging in context: Age‐related changes in context use during language comprehension. Psychophysiology 42(2):133141.CrossRefGoogle ScholarPubMed
Federmeier, Kara D., Wlotko, Edward W., De Ochoa-Dewald, Esmeralda, and Kutas, Marta. 2007. Multiple effects of sentential constraint on word processing. Brain Research 1146:7584.Google Scholar
Gao, Min Y., and Malt, Barbara C.. 2009. Mental representation and cognitive consequences of Chinese individual classifiers. Language and Cognitive Processes 24(7):11241179.CrossRefGoogle Scholar
Hauk, Olaf, Davis, Matthew H., Ford, M., Pulvermuller, Friedemann, and Marslen-Wilson, William D.. 2006. The time course of visual word recognition as revealed by linear regression analysis of ERP data. Neuroimage 30(4):13831400.Google Scholar
Hoeks, John C., Stowe, Laurie A., and Doedens, Gina. 2004. Seeing words in context: The interaction of lexical and sentence level information during reading. Cognitive Brain Research 19(1):5973.Google Scholar
Holcomb, Phillip J., Grainger, Jonathan, and O’Rourke, Tim. 2002. An electrophysiological study of the effects of orthographic neighborhood size on printed word perception. Journal of Cognitive Neuroscience 14(6):938950.CrossRefGoogle ScholarPubMed
Holcomb, Phillip J., Kounios, John, Anderson, Jane E., and West, Wendy C.. 1999. Dual-coding, context-availability, and concreteness effects in sentence comprehension: An electrophysiological investigation. Journal of Experimental Psychology: Learning, Memory and Cognition 25(3):721742.Google ScholarPubMed
Hsiao, Janet Hui-wen, Shillcock, Richard, and Lavidor, Michal. 2007. An examination of semantic radical combinability effects with lateralized cues in Chinese character recognition. Perception and Psychophysiology 69(3):338344.Google Scholar
Hsiao, Janet Hui-wen, Shillcock, Richard, and Lee, Chia-Ying. 2007. Neural correlates of foveal splitting in reading: Evidence from an ERP study of Chinese character recognition. Neuropsychologia 45(6):12801292.CrossRefGoogle ScholarPubMed
Hsu, Chun-Hsien, Lee, Chia-Ying, and Tzeng, Ovid J. L.. 2014. Early MEG markers for reading Chinese phonograms: Evidence from radical combinability and consistency effects. Brain and Language 139:19.Google Scholar
Hsu, Chun-Hsien, Tsai, Jie-Li, Lee, Chia-Ying, and Tzeng, Ovid J. L.. 2009. Orthographic combinability and phonological consistency effects in reading Chinese phonograms: An event-related potential study. Brain and Language 108(1):5666.Google Scholar
Huang, Chih-Ying, and Lee, Chia-Ying. 2010. Hemispheric processing of Chinese polysemy in the disyllabic verb/noun compounds: An event-related potential study. Paper presented at the NAACL HLT 2010 First Workshop on Computational Neurolinguistics.Google Scholar
Huang, Hsu-Wen, and Lee, Chia-Ying. 2018. Number of meanings and number of senses: An ERP study of sublexical ambiguities in reading Chinese disyllabic compounds. Frontiers in Psychology 9:324.Google Scholar
Huang, Chih-Ying, Lee, Chia-Ying, Huang, Hsu-Wen, and Chou, Chia-Ju. 2011. Number of sense effects of Chinese disyllabic compounds in the two hemispheres. Brain and Language 119(2):99109.Google Scholar
Huang, Hsu-Wen, Lee, Chia-Ying, Tsai, Jie-Li, and Tzeng, Ovid J.-L.. 2011. Sublexical ambiguity effect in reading Chinese disyllabic compounds. Brain and Language 117(2):7787.CrossRefGoogle ScholarPubMed
King, Jonathan W., and Kutas, Marta. 1995. Who did what and when? Using word- and clause-level ERPs to monitor working memory usage in reading. Journal of Cognitive Neuroscience 7(3):376395.Google Scholar
Kliegl, Reinhold, Grabner, Ellen, Rolfs, Martin, and Engbert, Ralf. 2004. Length, frequency, and predictability effects of words on eye movements in reading. European Journal of Cognitive Psychology 16(1–2):262284.Google Scholar
Koivisto, Mika. 1997. Time course of semantic activation in the cerebral hemispheresNeuropsychologia 35(4):497504.Google Scholar
Kuo, Jenny Yi-Chun, and Sera, Maria D.. 2009. Classifier effects on human categorization: The role of shape classifiers in Mandarin Chinese. Journal of East Asian Linguistics 18(1):119.Google Scholar
Kutas, Marta, and Federmeier, Kara D.. 2000. Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Sciences 4(12):463470.Google Scholar
Kutas, Marta, and Federmeier, Kara D.. 2011. Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology 62:621647.CrossRefGoogle ScholarPubMed
Kutas, Marta, and Hillyard, Steven A.. 1980a. Event-related brain potentials to semantically inappropriate and surprisingly large words. Biological Psychology 11(2):99116.Google Scholar
Kutas, Marta, and Hillyard, Steven A.. 1980b. Reading senseless sentences: Brain potentials reflect semantic incongruity. Science 207(4427):203205.Google Scholar
Kutas, Marta, and Hillyard, Steven A.. 1984. Brain potentials during reading reflect word expectancy and semantic association. Nature 307(5947):161163.CrossRefGoogle ScholarPubMed
Kutas, Marta, and Hillyard, Steven A.. 1989. An electrophysiological probe of incidental semantic association. Journal of Cognitive Neuroscience 1(1):3849.Google Scholar
Kutas, Marta, and Iragui, V.. 1998. The N400 in a semantic categorization task across 6 decades. Electroencephalography and Clinical Neurophysiology 108(5):456471.CrossRefGoogle Scholar
Laszlo, Sara, and Federmeier, Kara D.. 2011. The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. Psychophysiology 48(2):176186.CrossRefGoogle ScholarPubMed
Lau, Ellen, Almeida, Diogo, Hines, Paul C., and Poeppel, David. 2009. A lexical basis for N400 context effects: Evidence from MEG. Brain and Language 111(3):161172.Google Scholar
Lee, Chia-Lin, and Federmeier, Kara D.. 2006. To mind the mind: An event-related potential study of word class and semantic ambiguity. Brain Research 1081(1):191202.Google Scholar
Lee, Chia-Lin, and Federmeier, Kara D.. 2009. Wave-ering: An ERP study of syntactic and semantic context effects on ambiguity resolution for noun/verb homographs. Journal of Memory and Language 61(4):538555.Google Scholar
Lee, Chia-Ying 2009. The cognitive and neural basis for learning to read Chinese. Journal of Basic Education 18(2):6385.Google Scholar
Lee, Chia-Ying, Huang, Hsu-Wen, Kuo, Wen-Jui, Tsai, Jie-Li, and Tzeng, Ovid J.-L.. 2010. Cognitive and neural basis of the consistency and lexicality effects in reading Chinese. Journal of Neurolinguistics 23(1):1027.Google Scholar
Lee, Chia-Ying, Liu, Yo-Ning, and Chia-Ju–Ju, Chou. 2013. Contextual predictability facilitates early orthographic processing and semantic integration in visual word recognition: An event-related potential study. In East Flows the Great River: Festschrift in Honor of Prof. William S.-Y. Wang’s 80th Birthday, ed. Shi, Fang and Peng, Gang, 169186. Hong Kong: City University of Hong Kong Press.Google Scholar
Lee, Chia-Ying, Liu, Yo-Ning, and Tsai, Jie-Li. 2012. The time course of contextual effects on visual word recognition. Frontiers in Psychology 3:285.Google Scholar
Lee, Chia-Ying, Tsai, Jie-Li, Chan, Wen-Hsuan, Hsu, Chun-Hsien, Hung, Daisy L., and Tzeng, Ovid J. L.. 2007. Temporal dynamics of the consistency effect in reading Chinese: An event-related potentials study. Neuroreport 18(2):147151.Google Scholar
Lee, Chia-Ying, Tsai, Jie-Li, Huang, Hsu-Wen, Hung, Daisy L., and Tzeng, Ovid J.-L.. 2006. The temporal signatures of semantic and phonological activations for Chinese sublexical processing: An event-related potential study. Brain Research 1121(1):150159.Google Scholar
Lee, Chia-Ying, Tsai, Jie-Li, Su, Erica Chung-I, Tzeng, Ovid J. L., and Hung, Daisy L. 2005. Consistency, regularity, and frequency effects in naming Chinese characters. Language and Linguistics 6(1):75107.Google Scholar
Lo, Ming, Hue, Chih-Wei, and Tsai, Fang-Zhi. 2007. Chinese readers’ knowledge of how Chinese orthography represents phonology. Chinese Journal of Psychology 49(4):315334.Google Scholar
Luck, Steven J. 2014. An introduction to the event-related potential technique, 2nd ed. Cambridge, MA: MIT Press.Google Scholar
Marslen-Wilson, William, Tyler, Lorraine K., Waksler, Rachelle, and Older, Lianne. 1994. Morphology and meaning in the English mental lexicon. Psychological Review 101(1):333.Google Scholar
Müller, Oliver, Duñabeitia, Jon Andoni, and Carreiras, Manuel. 2010. Orthographic and associative neighborhood density effects: What is shared, what is different? Psychophysiology 47(3):455466.Google Scholar
O’Brien, Beth A., Wolf, Maryanne, Miller, Lynne T., Lovett, Maureen W., and Morris, Robin. 2011. Orthographic processing efficiency in developmental dyslexia: An investigation of age and treatment factors at the sublexical level. Annals of Dyslexia 61(1):111135.Google Scholar
Perfetti, Charles. A., Liu, Yin, and Tan, Li-Hai. 2005. The lexical constituency model: Some implications of research on Chinese for general theories of reading. Psychological Review 112(1):4359.Google Scholar
Pylkkanen, Liina, Llinas, Rodoffo, and Murphy, Gregory L.. 2006. The representation of polysemy: MEG evidence. Journal of Cognitive Neuroscience 18(1):97109.Google Scholar
Rastle, Kathleen, Davis, Matt H., Marslen-Wilson, William D., and Lorraine, K. Tyler. 2000. Morphological and semantic effects in visual word recognition: A time-course study. Language and Cognitive Processes 15(4–5):507537.CrossRefGoogle Scholar
Rastle, Kathleen, Davis, Matt H., and New, Boris. 2004. The broth in my brother’s brothel: Morpho-orthographic segmentation in visual word recognition. Psychonomic Bulletin & Review 11:10901098.Google Scholar
Rastle, Kathleen, and Davis, Matthew H.. 2003. Reading morphologically complex words: Some thoughts from masked priming. In Masked priming: The state of the art, ed. Kinoshita, Sachiko and Lupker, Stephen J., 279305. New York, NY: Psychology Press.Google Scholar
Rayner, Keith, Ashby, Jane, Pollatsek, Alexander, and Reichle, Erik D.. 2004. The effects of frequency and predictability on eye fixations in reading: Implications for the E-Z reader model. Journal of Experimental Psychology-Human Perception and Performance 30(4):720732.CrossRefGoogle ScholarPubMed
Rugg, Michael D., Allan, Kevin, and Birch, Caire S.. 2000. Electrophysiological evidence for the modulation of retrieval orientation by depth of study processing. Journal of Cognitive Neuroscience 12(4):664678.Google Scholar
Saalbach, Henrik, and Imai, Mutsumi. 2007. Scope of linguistic influence: Does a classifier system alter object concepts? Journal of Experimental Psychology: General 136(3):485501.Google Scholar
Sandra, Dominiek. 1990. On the representation and processing of compound words: Automatic access to constituent morphemes does not occur. Quarterly Journal of Experimental Psychology: Human Experimental Psychology 42(3A):529567.Google Scholar
Sereno, Sara C., Brewer, Cameron C., and O’Donnell, Patrick J.. 2003. Context effects in word recognition: Evidence for early interactive processing. Psychological Science 14(4):328333.CrossRefGoogle ScholarPubMed
Srinivasan, Mahesh. 2010. Do classifiers predict differences in cognitive processing? A study of nominal classification in Mandarin Chinese. Language and Cognition 2(2):177190.Google Scholar
Stanovich, Keith E., and West, Richard F.. 1981. The effect of sentence context on ongoing word recognition: Tests of a two-process theory. Journal of Experimental Psychology: Human Perception and Performance 7(3):658672.Google Scholar
Su, I-Fan, Mak, Sin-Ching, Cheung, Lai-Ying, and Law, Sam-Po. 2012. Taking a radical position: Evidence for position-specific radical representations in Chinese character recognition using masked priming ERP. Frontiers in Psychology 3:333.CrossRefGoogle ScholarPubMed
Taft, Marcus, and Forster, Kenneth I.. 1975. Lexical storage and retrieval of prefixed words. Journal of Verbal Learning & Verbal Behavior 14(6):638647.Google Scholar
Taft, Marcus, and Zhu, Xiaoping. 1997. Submorphemic processing in reading Chinese. Journal of Experimental Psychology: Learning, Memory, and Cognition 23(3): 761775.Google Scholar
Tai, James H.-Y. 1992. Variation in classifier systems across Chinese dialects: Towards a cognition-based semantic approach. Chinese Language and Linguistics 1:587608.Google Scholar
Taylor, Wilson L. 1953. “Cloze procedure”: A new tool for measuring readability. Journalism Quarterly 30(4):415433.Google Scholar
Tien, Yi-Min, Tzeng, Ovid J.-L., and Hung, Daisy L.. 2002. Semantic and cognitive basis of Chinese classifiers: A functional approach. Language and Linguistics 3(1):101132.Google Scholar
Tsai, Jie-Li, Lee, Chia-Ying, Lin, Ying-Chun, Tzeng, Ovid J.-L., and Hung, Daisy L.. 2006. Neighborhood size effects of Chinese words in lexical decision and reading. Language and Linguistics 7(3):659675.Google Scholar
Tzeng, Yu-Lin, Hsu, Chun-Hsien, Huang, Yu-Chen, and Lee, Chia-Ying. 2017. The acquisition of orthographic knowledge: Evidence from the lexicality effects on N400. Frontiers in Psychology 8:433.Google Scholar
Tzeng, Yu-Lin, Hsu, Chun-Hsien, Lin, Wan-Hsuan, and Lee, Chia-Ying. 2018. Impaired orthographic processing in Chinese dyslexic children: Evidence from the lexicality effect on N400. Scientific Studies of Reading 22(1):85100.CrossRefGoogle Scholar
Van Berkum, Jos J., Hagoort, Peter, and Brown, Colin M.. 1999. Semantic integration in sentences and discourse: Evidence from the N400. Journal of Cognitive Neuroscience 11(6):657671.Google Scholar
Van Petten, Cyma, and Kutas, Marta. 1990. Interactions between sentence context and word frequency in event-related brain potentials. Memory and Cognition 18(4):380393.Google Scholar
Van Petten, Cyma, and Kutas, Marta. 1991. Influences of semantic and syntactic context on open- and closed-class words. Memory and Cognition 19(1):95112.Google Scholar
Vogel, Edward K., and Luck, Steven J.. 2000. The visual N1 component as an index of a discrimination process. Psychophysiology 37(2):190203.CrossRefGoogle ScholarPubMed
Wlotko, Edward W., and Federmeier, Kara D.. 2007. Finding the right word: Hemispheric asymmetries in the use of sentence context information. Neuropsychologia 45(13):30013014.Google Scholar
Zhang, Shi, and Schmitt, Bernd. 1998. Language-dependent classification: The mental representation of classifiers in cognition, memory, and ad evaluations. Journal of Experimental Psychology: Applied 4(4):375.Google Scholar
Zhou, Xiaolin, and Marslen-Wilson, William. 1999. The nature of sublexical processing in reading Chinese characters. Journal of Experimental Psychology: Learning, Memory, & Cognition 25(4):819837.Google Scholar
Zwitserlood, Pienie. 1994. The role of semantic transparency in the processing and representation of Dutch compounds. Language and Cognitive Processes 9(3):341368.Google Scholar

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