Phonological, not semantic, activation dominates Chinese character recognition: Evidence from a visual world eye-tracking study

2019 ◽  
Vol 73 (4) ◽  
pp. 617-628
Author(s):  
Xiuhong Tong ◽  
Wei Shen ◽  
Zhao Li ◽  
Mengdi Xu ◽  
Liping Pan ◽  
...  

Combining eye-tracking technique with a revised visual world paradigm, this study examined how positional, phonological, and semantic information of radicals are activated in visual Chinese character recognition. Participants’ eye movements were tracked when they looked at four types of invented logographic characters including a semantic radical in the legal (e.g., [Formula: see text]) and illegal positions ([Formula: see text]), a phonetic radical in the legal (e.g., [Formula: see text]) and illegal positions (e.g., [Formula: see text]). These logographic characters were presented simultaneously with either a sound-cued (e.g., /qiao2/) or meaning-cued (e.g., a picture of a bridge) condition. Participants appeared to allocate more visual attention towards radicals in legal, rather than illegal, positions. In addition, more eye fixations occurred on phonetic, rather than on semantic, radicals across both sound- and meaning-cued conditions, indicating participants’ strong preference for phonetic over semantic radicals in visual character processing. These results underscore the universal phonology principle in processing non-alphabetic Chinese logographic characters.

2006 ◽  
Vol 1078 (1) ◽  
pp. 159-167 ◽  
Author(s):  
Janet Hui-wen Hsiao ◽  
Richard Shillcock ◽  
Michal Lavidor

2020 ◽  
Vol 4 (4) ◽  
pp. 271-279
Author(s):  
Rui Guo

The intelligent recognition tool for bronze inscriptions of the Shang and Zhou dynasties—the “Shang Zhou Bronze Inscriptions Intelligent Mirror”—was successfully invented in Shanghai. This mirror, based on the computer technology of artificial intelligence (AI) image recognition and image retrieval, succeeds in automagical recognition of bronze inscriptions, both single letters and full texts. This research leads the trend of the AI recognition of Ancient Chinese characters and accumulates valuable experience for the development of inter-disciplinary research on Chinese character recognition. This essay emphasizes the importance of the bronze inscriptions of the Shang and Zhou dynasty database in the AI recognition of bronze inscriptions, introduces the functional components of this tool, and shares the whole research process in order to offer experience for the related research on AI recognition of other types of Ancient Chinese characters as well as ideographs in the world scope. “Shang Zhou Bronze Inscriptions Intelligent Mirror” as a tool for bronze inscription recognition also has room for improvement and support, and guidance from experts in similar areas is greatly welcomed.


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