Clausal Density and Embedding Depth as Dimensions of Finite Clausal Complexity: Associations With CET‐Based L2 Writing Performance

ABSTRACT This study examines how finite clausal complexity relates to L2 writing performance by distinguishing clausal density (CD), the accumulation of finite subordinate clauses, from embedding depth (ED), their hierarchical nesting. Using 566 timed CET compositions from the Chinese Learner English Corpus, sentence‐level CD and ED were manually annotated and analyzed across six CET‐based writing‐performance bands. Results show that both measures were weakly but significantly associated with variation across CET‐based writing‐performance bands and in different ways. CD displayed broader but modest variation across bands, whereas ED reflected a more constrained dimension of hierarchical organization. In joint models, CD retained a modest independent association, while ED overlapped empirically with CD and did not contribute independent information. Length‐adjusted analyses further showed that the CD pattern was not reducible to composition length, although overall explanatory power remained limited. The findings indicate that finite clausal complexity should be treated as multidimensional, with clause accumulation and hierarchical embedding capturing related but non‐identical aspects of finite clausal organization. However, neither CD nor ED should be interpreted as a strong diagnostic measure of L2 writing performance.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Linguistics
Published
2026-10-28
DOI
https://doi.org/10.1111/ijal.70411
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clausal Density and Embedding Depth as Dimensions of Finite Clausal Complexity: Associations With CET‐Based L2 Writing Performance

Jinlu Liu, Jing Zhang, Chenxi Pan
1 links
International Journal of Applied Linguistics
EFL/ESL Teaching and Learning
article

Clausal Density and Embedding Depth as Dimensions of Finite Clausal Complexity: Associations With CET‐Based L2 Writing Performance

Jinlu Liu, Jing Zhang, Chenxi Pan
article en

Abstract

ABSTRACT This study examines how finite clausal complexity relates to L2 writing performance by distinguishing clausal density (CD), the accumulation of finite subordinate clauses, from embedding depth (ED), their hierarchical nesting. Using 566 timed CET compositions from the Chinese Learner English Corpus, sentence‐level CD and ED were manually annotated and analyzed across six CET‐based writing‐performance bands. Results show that both measures were weakly but significantly associated with variation across CET‐based writing‐performance bands and in different ways. CD displayed broader but modest variation across bands, whereas ED reflected a more constrained dimension of hierarchical organization. In joint models, CD retained a modest independent association, while ED overlapped empirically with CD and did not contribute independent information. Length‐adjusted analyses further showed that the CD pattern was not reducible to composition length, although overall explanatory power remained limited. The findings indicate that finite clausal complexity should be treated as multidimensional, with clause accumulation and hierarchical embedding capturing related but non‐identical aspects of finite clausal organization. However, neither CD nor ED should be interpreted as a strong diagnostic measure of L2 writing performance.

International Journal of Applied Linguistics
Zhejiang University of Finance and Economics (CN)
Openalex Percentile: Top 3%
EFL/ESL Teaching and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon