Feedback Consistency Effect on Writing-to-Dictation Task in Chinese
Bibliographic Data
| ID | 19502152 |
|---|---|
| Authors | Man-Tak Leung, Hoi-Ming Lui, Sam-Po Law, Sam‐Po Law (0000-0001-9337-3866), Roxana Suk-Yee Fung, Roxana Fung (0000-0003-3678-2174), Dustin Kai-Yan Lau (0000-0002-7088-7511), Kai-Yan Lau |
| Year | 2011 |
| Volume | 14 |
| Issue | 1 |
| Pages | 61-71 |
| Publication date | 2011-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Asia Pacific Journal of Speech Language and Hearing (JOURNAL) |
| Journal identifiers | ISSN: 1361-3286 • E-ISSN: 2058-0967 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1179/136132811805334894 |
| OpenAlex | W2011018749 |
| Language | EN |
| References cited | 4 |
The influence of feed-forward consistency (FFC) (i.e., the consistency of mapping from the orthographic form to the pronunciation of the whole \ncharacter) on character recognition and reading aloud tasks have been well documented in a sizable literature in which subjects performed better on feed-forward consistent characters than inconsistent characters. Analogous to the FFC effect in reading aloud, the feedback consistency (FBC) effect (“consistent” when a pronunciation always maps onto one orthographic form, and “inconsistent” if the pronunciation maps onto multiple orthographic forms) was observed in spelling tasks at the phoneme-grapheme levels in English (e.g., Weekes, Castles, & Davies, 2006) and French (e.g., Alegria & Mousty, 1996), where subjects had better spelling performances \non feedback consistent words than inconsistent words. \nAlthough Ziegler and Muneaux (2007) showed that the size of FBC effect was predicted by the reading level (determined by a feed-forward task) of children in a spoken word recognition task, the words that are phonologically similar, in fact, are also orthographically similar in alphabetic scripts. Therefore, the poor performance on feedback inconsistent words may be \nattributed to the difficulty in choosing the correct answers among similar orthographic forms. Unlike alphabetic scripts, homophones in Chinese \ncharacters do not always share similar orthographic forms and orthographically similar characters may have different pronunciations. These properties allow researchers to investigate the FBC effect without confounding with orthographic similarity. \nThe aims of the present study are three-fold: first, to find out whether similar FFC effect exists in both reading aloud and writing-to-dictation in Chinese; second, to evaluate the influence of the number of homophones of a character on writing-to-dictation across grades; and, third, to observe the possible interactions between FFC and the number of homophones. \nPhonetic semantic compound characters were selected as stimuli. A reading-aloud task was administered to 1,590 students and a writing-to-dictation task to 2,194 students from grades 1 to 6. The stimulus characters were categorized in terms of homophone numbers and consistency values. \nData collected were analyzed using ANOVA. As expected, significant positive FFC effect (consistent characters better than inconsistent characters)was observed in reading aloud across grades. In the writing-to-dictation task, significant homophone effect was found from grade 2 to grade 6. Post hoc analyses revealed that a positive FFC effect occurred when the characters had many homophones, whereas negative FFC effect occurred when the characters had fewer homophones. The findings clarify the influences \nof feed-forward and feedback consistencies on writing without the possible confounding orthographic similarity factor. The significant interaction effect between FFC and homophone number suggests that the orthographic similarity of the family members in a homophone family might \naffect the FBC effect in different tasks. Copyright © 2011 Plural Publishing, Inc
Dictation · Homophone · Linguistics · Natural language processing · Orthographic projection · Orthography · Pronunciation · Speech recognition · Spelling · Computer Science · Mathematics · Psychology · Reading and Literacy Development · Second Language Acquisition and Learning · Writing and Handwriting Education · Artificial Intelligence
| Highly cited | No |
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