The contribution of phonological information to visual word recognition: Evidence from Chinese phonetic radicals

Liu, Xiaodong; Vermeylen, Luc; Wisniewski, David; Brysbaert, Marc

doi:10.1016/j.cortex.2020.09.010

Cited by 17 publications

(10 citation statements)

References 63 publications

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“…This pattern might due to the relatively lower spatial resolution of ERP measures. Recent Chinese neuroimaging studies demonstrated that phonological processing involved multiple brain areas 45 – 47 , such as left inferior parietal lobule and right superior temporal gyrus. Moreover, a meta-analysis with eight fMRI studies revealed a bilateral involvement of the ventral occipito-temporal regions for both phonological and semantic processing 46 .…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological correlates of masked orthographic and phonological priming in Chinese–English bilinguals

Zhang

Li²,

Zhang³

et al. 2022

Sci Rep

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Extensive behavioral and electrophysiological evidence has demonstrated that native translations are automatically activated when bilinguals read non-native words. The present study investigated the impact of cross-language orthography and phonology on Chinese–English bilingual lexicons with a masked priming paradigm. The masked primes and targets were either translation equivalents (TE), orthographically related through translation (OR), phonologically related through translation (PR), or unrelated control (UC). Participants retained the targets in memory and decided whether the delayed catch words matched the targets. ERP data showed significant masked translation priming effects, as reflected by decreased ERP amplitudes in the TE condition in the 300–600 ms time window from frontal to parietal electrode clusters. Importantly, compared with the UC condition, the PR rather than OR condition elicited less negative ERP waveforms in the 300–500 ms time window with a frontal distribution. Taken together, these temporal and spatial dynamics suggested an automatic cross-language co-activation at the phonological and semantic levels for different-script bilinguals.

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Section: Discussionmentioning

confidence: 99%

Electrophysiological correlates of masked orthographic and phonological priming in Chinese–English bilinguals

Zhang

Li²,

Zhang³

et al. 2022

Sci Rep

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“…They consisted of 4–17 strokes (mean = 8.62, SD = 3.02), and their mean frequency was 20.12 per million (SD = 56.60). All materials had left–right configuration with the phonetic radicals situated in the right half of the character to eliminate the confounding effects of phonetic radical position (Liu et al, 2020 , 2022 ). The characters formed 561 pairs (34 × [34–1]/2 = 561) in the following four categories in terms of orthographic and phonological similarities: (1) 28 pairs that were similar in orthography and phonology; (2) 33 pairs that were similar in orthography but different in phonology; (3) 52 pairs that were different in orthography but similar in phonology; and (4) 448 pairs that were different in orthography and phonology.…”

Section: Methodsmentioning

confidence: 99%

Neural representation of phonological information during Chinese character reading

Yang

et al. 2022

Human Brain Mapping

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Previous studies have revealed that phonological processing of Chinese characters elicited activation in the left prefrontal cortex, bilateral parietal cortex, and occipitotemporal regions. However, it is controversial what role the left middle frontal gyrus plays in Chinese character reading, and whether the core regions (e.g., the left superior temporal gyrus and supramarginal gyrus) for phonological processing of alphabetic languages are also involved in Chinese character reading. To address these questions, the present study used both univariate and multivariate analysis (i.e., representational similarity analysis, RSA) to explore neural representations of phonological information during Chinese character reading. Participants were scanned while performing a reading aloud task. Univariate activation analysis revealed a widely distributed network for word reading, including the bilateral inferior frontal gyrus, middle frontal gyrus, lateral temporal cortex, and occipitotemporal cortex. More importantly, RSA showed that the left prefrontal (i.e., the left middle frontal gyrus and left inferior frontal gyrus) and bilateral occipitotemporal areas (i.e., the left inferior and middle temporal gyrus and bilateral fusiform gyrus) represented phonological information of Chinese characters. These results confirmed the importance of the left middle frontal gyrus and regions in ventral pathway in representing phonological information of Chinese characters.

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“…117-118); indeed, "nobody is disputing the role that phonological components play in the Chinese writing system or the role that phonological recoding plays in the reading of Chinese" (Handel, 2015, p. 130 see also Coulmas, 1996a;Sampson, 1985Sampson, , 2017Unger & DeFrancis, 1995). Nor is this phonetic information inert: There is massive psychological and neuropsychological evidence that Chinese readers process writing using phonological cues (Dehaene, 2010;Li, Peng, Liu, Booth, & Ding, 2014;Liu, Vermeylen, Wisniewski, & Brysbaert, 2020).…”

Section: What Glottography Meansmentioning

confidence: 99%

The puzzle of ideography

Morin

2022

Behav Brain Sci

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An ideography is a general-purpose code made of pictures that do not encode language, which can be used autonomously – not just as a mnemonic prop – to encode information on a broad range of topics. Why are viable ideographies so hard to find? I contend that self-sufficient graphic codes need to be narrowly specialized. Writing systems are only an apparent exception: at their core, they are notations of a spoken language. Even if they also encode non-linguistic information, they are useless to someone who lacks linguistic competence in the encoded language or a related one. The versatility of writing is thus vicarious: writing borrows it from spoken language. Why is it so difficult to build a fully generalist graphic code? The most widespread answer points to a learnability problem. We possess specialized cognitive resources for learning spoken language, but lack them for graphic codes. I argue in favor of a different account: what is difficult about graphic codes is not so much learning or teaching them as getting every user to learn and teach the same code. This standardization problem does not affect spoken or signed languages as much. Those are based on cheap and transient signals, allowing for easy online repairing of miscommunication, and require face-to-face interactions where the advantages of common ground are maximized. Graphic codes lack these advantages, which makes them smaller in size and more specialized.

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The contribution of phonological information to visual word recognition: Evidence from Chinese phonetic radicals

Cited by 17 publications

References 63 publications

Electrophysiological correlates of masked orthographic and phonological priming in Chinese–English bilinguals

Electrophysiological correlates of masked orthographic and phonological priming in Chinese–English bilinguals

Neural representation of phonological information during Chinese character reading

The puzzle of ideography

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