2020
DOI: 10.1177/2158244020969669
|View full text |Cite
|
Sign up to set email alerts
|

Nontransparent Compound Character Learning in L2 Chinese: Does Radical Awareness Always Work?

Abstract: Chinese character learning requires various reading subskills, such as radical awareness and character knowledge. Radical awareness refers to learners’ ability to identify, analyze, and apply semantic radicals in compound characters. Previous studies have shown that radical awareness and character knowledge facilitate learning semantically transparent characters. Yet, little is known regarding whether radical awareness plays an active role in the meaning retention for nontransparent characters. The meanings of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 39 publications
(68 reference statements)
0
1
0
Order By: Relevance
“…Tables 4 , 5 showed joint predictions of early grapho-morphological knowledge at the character and radical levels in later reading comprehension. The results suggest that, in addition to beginning-level learners’ character (morpheme) knowledge, L2 learners’ sensitivity to character-internal structures and their understanding to the compositional rules at the character and radical levels could facilitate their reading development in Chinese ( Chen and Feng, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Tables 4 , 5 showed joint predictions of early grapho-morphological knowledge at the character and radical levels in later reading comprehension. The results suggest that, in addition to beginning-level learners’ character (morpheme) knowledge, L2 learners’ sensitivity to character-internal structures and their understanding to the compositional rules at the character and radical levels could facilitate their reading development in Chinese ( Chen and Feng, 2020 ).…”
Section: Discussionmentioning
confidence: 99%