Evidence map›Paper›PMID 26551251›Full record

ArticlePloS one2015

The Contributions of Segmental and Suprasegmental Information in Reading Chinese Characters Aloud.

Min Wang, Chuchu Li, Candise Y Lin

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Min WangDepartment of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, United States of America.
Chuchu LiDepartment of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, United States of America.
Candise Y LinDepartment of Psychology and Program in Hearing and Communication Neuroscience, University of Southern California, Los Angeles, California, United States of America.

Funding

Training in Hearing & Communication NeuroscienceT32DC009975 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christopher A Shera · 2009 to 2026
$5.0M
NIDCD NIH HHS T32 DC009975
6 · The paper itself

Abstract

The Chinese writing system provides an excellent case for testing the contribution of segmental and suprasegmental information in reading words aloud within the same language. In logographic Chinese characters, neither segmental nor tonal information is explicitly represented, whereas in Pinyin, an alphabetic transcription of the character, both are explicitly represented. Two primed naming experiments were conducted in which the targets were always written characters. When logographic characters served as the primes (Experiment 1), syllable segmental and tonal information appeared to be represented and encoded as an integral unit which in turn facilitated target character naming. When Pinyin served as the primes (Experiment 2), the explicit phonetic representation facilitated encoding of both segmental and suprasegmental information, but with later access to suprasegmental information. In addition, Chinese speakers were faster to name characters than Pinyin in a simple naming task (Experiment 3), suggesting that Pinyin may be read via a phonological assembly route, whereas characters may be read via a lexical route. Taken together, our findings point to the need to consider the contributions of both segmental and suprasegmental information and the time course in the well-established models for reading aloud, as well as the cognitive mechanisms underlying the reading aloud of logographic characters versus alphabetic Pinyin script.

Indexed as

PhoneticsReadingSpeechWritingAdultAsian PeopleBrainBrain MappingChinaCognitionFemaleHumansMalePattern Recognition, VisualYoung Adult

Identifiers

PMID26551251
PMCPMC4638349

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.