Predictive Effects of Phraseological Complexity on the Quality of Chinese EFL Learners’ L2 Oral Production

ABSTRACT Phraseological complexity measures have demonstrated significant predictive power for L2 proficiency, predominantly in written contexts. However, empirical evidence regarding their role in L2 oral production remains limited. This study investigates the predictive validity of phraseological complexity measures on L2 oral performance and examines their capacity to differentiate learners across proficiency levels. Analyzing oral performances of 90 test takers in the TEM8‐Oral (test for English majors band eight oral test), results revealed that phraseological complexity exhibited stronger explanatory power for oral performance compared to lexical and syntactic complexity, with advmod_RTTR (‘adverb + adjective/adverb/verb’ Root Type‐Token Ratio) emerging as the most potent predictor. Significant differences were observed in amod_RTTR (‘adjective + noun’ Root Type‐Token Ratio), dobj_RTTR (‘verb + direct object’ Root Type‐Token Ratio), and advmod_RTTR across proficiency levels. Notably, dobj_RTTR and advmod_RTTR uniquely distinguished between all adjacent levels, while other features differentiated only specific levels or showed no clear trends. This study expands on the research on the relationship between phraseological complexity and L2 speaking ability in a Chinese context and provides implications for oral English teaching and refinement of rating for English speaking assessment.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Linguistics
Published
2024-11-28
DOI
https://doi.org/10.1111/ijal.12662
Primary Topic
Second Language Acquisition and Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Effects of Phraseological Complexity on the Quality of Chinese EFL Learners’ L2 Oral Production

D. Zhou, Tingting Wang
International Journal of Applied Linguistics
Second Language Acquisition and Learning
article

Predictive Effects of Phraseological Complexity on the Quality of Chinese EFL Learners’ L2 Oral Production

D. Zhou, Tingting Wang
article en

Abstract

ABSTRACT Phraseological complexity measures have demonstrated significant predictive power for L2 proficiency, predominantly in written contexts. However, empirical evidence regarding their role in L2 oral production remains limited. This study investigates the predictive validity of phraseological complexity measures on L2 oral performance and examines their capacity to differentiate learners across proficiency levels. Analyzing oral performances of 90 test takers in the TEM8‐Oral (test for English majors band eight oral test), results revealed that phraseological complexity exhibited stronger explanatory power for oral performance compared to lexical and syntactic complexity, with advmod_RTTR (‘adverb + adjective/adverb/verb’ Root Type‐Token Ratio) emerging as the most potent predictor. Significant differences were observed in amod_RTTR (‘adjective + noun’ Root Type‐Token Ratio), dobj_RTTR (‘verb + direct object’ Root Type‐Token Ratio), and advmod_RTTR across proficiency levels. Notably, dobj_RTTR and advmod_RTTR uniquely distinguished between all adjacent levels, while other features differentiated only specific levels or showed no clear trends. This study expands on the research on the relationship between phraseological complexity and L2 speaking ability in a Chinese context and provides implications for oral English teaching and refinement of rating for English speaking assessment.

International Journal of Applied LinguisticsVol. 35(2)
Nanjing Foreign Language School (CN), Nanjing University (CN)
Government of Jiangsu Province
Quality Education
Openalex Percentile: Top 73%
Second Language Acquisition 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.

Predictive Effects of Phraseological Complexity on the Quality of Chinese EFL Learners’ L2 Oral Production — D. Zhou, Tingting Wang · International Journal of Applied Linguistics (2024) | TGRS Research Map | TGRS