Influence of learners’ prior knowledge, L2 proficiency and pre-task planning on L2 lexical complexity

词汇多样性 词汇密度 复杂度 词汇项目 任务(项目管理) 流利 心理学 词汇判断任务 语言学 计算机科学 语言能力 自然语言处理 人工智能 词汇 认知 数学教育 社会学 经济 管理 神经科学 哲学 社会科学
作者
Gavin Bui
出处
期刊:International Review of Applied Linguistics in Language Teaching [De Gruyter]
卷期号:59 (4): 543-567 被引量:22
标识
DOI:10.1515/iral-2018-0244
摘要

Abstract Although differentiating between fluency, accuracy and complexity, while assessing L2 task performance, is becoming a standard practice, lexical complexity as a distinctive area has received less attention in the task-based language teaching (TBLT) literature. This study re-examines previous frameworks of lexical complexity and investigates three lexical dimensions, lexical diversity, lexical sophistication and lexical density , using a structured 2 × 2 × 2 split-plot experimental design. The participants were divided into a non-planning group and a planning group and each group was further dichotomised into two proficiency levels. Each participant was assigned one familiar and one unfamiliar oral narrative task. The results show that one’s prior knowledge about a subject is associated with higher lexical diversity and sophistication, while pre-task planning promotes lexical density. The effects of proficiency seem to be largely overridden by the effects of prior knowledge and pre-task planning and show little impact on overall lexical performance. Interestingly, lexical diversity and lexical sophistication are independent of each other, and lexical density is moderately correlated with both lexical diversity and lexical sophistication. The results are discussed with reference to the Levelt model of speech production with some pedagogical implications on content-based language instruction. The exploration of the relationships between the lexical measures reveals a need for deeper and subtler characterisation of L2 lexical complexity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小开完成签到,获得积分10
刚刚
大魔王完成签到,获得积分10
刚刚
小树完成签到,获得积分10
刚刚
Shiku完成签到,获得积分10
1秒前
1秒前
1秒前
QQ发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
文艺鞋子发布了新的文献求助10
2秒前
2秒前
dawei完成签到 ,获得积分10
2秒前
整齐的雪旋完成签到,获得积分10
2秒前
Amandar发布了新的文献求助10
2秒前
vic完成签到,获得积分10
3秒前
小羊完成签到,获得积分10
3秒前
务实铅笔发布了新的文献求助10
3秒前
3秒前
3秒前
unite 小丘发布了新的文献求助10
3秒前
Maer完成签到,获得积分10
3秒前
4秒前
大魔王发布了新的文献求助10
4秒前
4秒前
6680668发布了新的文献求助10
4秒前
JamesPei应助精灵半岛采纳,获得10
5秒前
足球发布了新的文献求助10
5秒前
5秒前
fmwang完成签到,获得积分10
5秒前
5秒前
6秒前
hhhhhh发布了新的文献求助10
6秒前
渣义完成签到,获得积分10
6秒前
6秒前
vic303发布了新的文献求助10
6秒前
aa发布了新的文献求助10
6秒前
ly发布了新的文献求助10
7秒前
文艺鞋子完成签到,获得积分10
7秒前
7秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4009871
求助须知:如何正确求助?哪些是违规求助? 3549812
关于积分的说明 11303839
捐赠科研通 3284342
什么是DOI,文献DOI怎么找? 1810591
邀请新用户注册赠送积分活动 886393
科研通“疑难数据库(出版商)”最低求助积分说明 811406