The nature of the homophone density effect: An ERP study with Chinese spoken monosyllable homophones

Wang, Wenna; Li, Xiaojian; Ning, Ning; Zhang, Junyi

doi:10.1016/j.neulet.2012.03.059

Cited by 26 publications

(32 citation statements)

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“…Post hoc analyses revealed that this token frequency effect facilitated listeners’ syllable‐only identification, which led to improved syllable–tone word recognition. While ample research has demonstrated this robust syllable token frequency effect in native Mandarin speakers (e.g., Wang et al., ; Wiener & Turnbull, ; Zhou & Marslen‐Wilson, , ), to our knowledge, this is the first reported evidence of L2 classroom learners’ sensitivity to Mandarin phonological statistical regularities. Despite limited exposure to Mandarin in a non‐immersion linguistic environment, L2 learners used their knowledge of CV(C) token frequency to better identify words from truncated speech.…”

Section: Discussionmentioning

confidence: 56%

“…The authors argued that tone is less informative for high token frequency syllables because they typically co‐occur with all tones to create dense homophone neighborhoods (e.g., Luce & Pisoni, ; Vitevitch & Luce, , ; Vitevitch, Luce, Pisoni, & Auer, ). For low token frequency syllables with sparse homophone neighborhoods, tone is more informative; listeners have a much higher probability of hearing a zhou1 word than any other zhou + tone word (Chen, Vaid, & Wu, ; Packard, , ; Wang, Li, Ning, & Zhang, ).…”

Section: Background Literaturementioning

confidence: 99%

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Statistical Regularities Affect the Perception of Second Language Speech: Evidence From Adult Classroom Learners of Mandarin Chinese

2019

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This study investigated how adult second language (L2) learners of Mandarin Chinese use knowledge of phonological and lexical statistical regularities when acoustic information is insufficient for word recognition. A gating task was used to test intermediate L2 learners at two time points across a semester of classroom learning. Native Mandarin speakers (tested once) served as a control group. Mixed-effects modeling revealed that upon hearing truncated speech, L2 learners, like native speakers, identified high token frequency syllable-tone combinations more accurately than low token frequency syllable-tone combinations. Error analysis of correct syllable/incorrect tone responses revealed that native speakers made specific probability-based errors. L2 learners primarily demonstrated more acoustic-based errors but exhibited a trend toward greater probability-based errors during the second test. These findings are interpreted in light of L2 speech learning models that emphasize a statistical learning mechanism.

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Section: Discussionmentioning

confidence: 56%

Section: Background Literaturementioning

confidence: 99%

Statistical Regularities Affect the Perception of Second Language Speech: Evidence From Adult Classroom Learners of Mandarin Chinese

2019

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“…Therefore, the homophone density effect could be attributed to the competition between multiple orthographic, or alternatively, between semantic, codes. In support of the latter possibility, Wang, Li, Ning, and Zhang (2012) recently examined neural correlates of the homophone density effect with EEG, and argued that homophone density reflects competition among a homophone's multiple semantic meanings rather than among multiple spellings. If so, the homophone density effect would provide limited insights on orthographic access.…”

Section: Orthographic Effects In Spoken Word Recognition: Evidence Frmentioning

confidence: 99%

Orthographic effects in spoken word recognition: Evidence from Chinese

Damian

2016

Psychon Bull Rev

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms Orthography in spoken word recognition 2 Abstract Extensive evidence from alphabetic languages demonstrates a role of orthography in the processing of spoken words. Because alphabetic systems explicitly code speech sounds, such effects are perhaps not surprising. However, it is less clear whether orthographic codes are involuntarily accessed from spoken words in languages with non-alphabetic systems, in which the sound-spelling correspondence is largely arbitrary. We investigated the role of orthography via a semantic relatedness judgment task: native Mandarin speakers judged whether or not spoken word pairs were related in meaning. Word pairs were either semantically related, orthographically related, or unrelated. Results showed that relatedness judgments were made faster for word pairs that were semantically related than for unrelated word pairs. Critically, orthographic overlap on semantically unrelated word pairs induced a significant increase in response latencies. These findings indicate that orthographic information is involuntarily accessed in spoken-word recognition, even in a nonalphabetic language such as Chinese.

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“…Word recognition is faster when a word has a high frequency. b. Auditory lexical decision is slower when a word has greater homophone density (Wang et al 2012). …”

Section: Lexical Access and Reaction Timementioning

confidence: 99%

From non-uniqueness to the best solution in phonemic analysis: evidence from Chengdu Chinese

Duanmu

2017

lingua. sin.

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The "non-uniqueness" theory assumes that there is no best solution in phonemic analysis; rather, competing solutions can co-exist, each having its own advantages (Chao, Bulletin of the Institute of History and Philology 4: 363-398, 1934). The theory is based on the assumption that there is no common set of criteria to evaluate alternative solutions. I argue instead that such a set of criteria can be established and it is possible to find the best solution. The criteria include riming properties, rime structure, constraints on syllable gaps, phonemic economy, phonetics, syllable sizes, and feature theory. I illustrate the proposal with Chengdu. Four analyses are compared, the "CGV" segmentation, the "CV" segmentation, the "finest" segmentation, and the "CVX" segmentation, and CVX is shown to be the best.

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The nature of the homophone density effect: An ERP study with Chinese spoken monosyllable homophones

Cited by 26 publications

References 26 publications

Statistical Regularities Affect the Perception of Second Language Speech: Evidence From Adult Classroom Learners of Mandarin Chinese

Statistical Regularities Affect the Perception of Second Language Speech: Evidence From Adult Classroom Learners of Mandarin Chinese

Orthographic effects in spoken word recognition: Evidence from Chinese

From non-uniqueness to the best solution in phonemic analysis: evidence from Chengdu Chinese

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