Effects of Semantic Transparency on the Recognition of
Chinese Two-character Words: Evidence for a Dual-process
Model
Chih-Hao Tsai
National Chung Cheng University
Tsai, C.-H. (1994). Effects of semantic
transparency on the recognition of Chinese two-character
words: Evidence for a dual-process model. Unpublished
master's thesis, National Chung Cheng University, Chia-Yi,
Taiwan.
Abstract
This study investigated the representations and recognition
processes of Chinese two-character words. In Experiment 1,
subjects made lexical decisions to two-character compounds.
Semantic transparency effects were found that the reaction
times (RTs) for transparent compounds were shorter than those
for opaque compounds. Word frequency effects were found that
the RTs for high-frequency compounds were shorter than those
for low-frequency compounds. The effect of semantic
transparency was larger for low-frequency compounds than for
high-frequency compounds. Experiment 2 was similar to
Experiment 1, except for a 100 ms stimulus onset asynchrony
(SOA) between two characters. There were still significant
effects of semantic transparency and word frequency. The RTs
for compounds composed of low-frequency characters were
shorter than the RTs for those composed of high-frequency
characters. There were no significant interactions. In
Experiment 3 the SOA was reduced to 50 ms. The results were
similar to those of Experiment 2. In Experiment 4, subjects
made lexical decisions to two-character phonetic translations
and loan words, and compounds with three levels of semantic
transparency. The RTs for phonetic translations and loan
words were shorter than the RTs for the compounds. The RTs
were longest for the initial-opaque condition in which the
dominant meaning of the first character was unrelated to the
meaning of a compound. In Experiment 5 with 100 ms SOA
between characters, the superiority for phonetic translations
and loan words disappeared. These results support a
dual-processing model for the recognition of multi-character
Chinese words.