• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2023 Fiscal Year Annual Research Report

Investigating Potential Relationships between Vocabulary Knowledge and Writing

Research Project

Project/Area Number 20K00834
Research InstitutionHiroshima University

Principal Investigator

Fraser Simon  広島大学, 外国語教育研究センター, 教授 (10403510)

Co-Investigator(Kenkyū-buntansha) CLENTON JONATHAN  広島大学, 人間社会科学研究科(総), 准教授 (80762434)
CLINGWALL DION  県立広島大学, 公私立大学の部局等(庄原キャンパス), 准教授 (80737669)
TANABE JULIA  広島大学, 外国語教育研究センター, 助教 (90868233)
Project Period (FY) 2020-04-01 – 2024-03-31
Keywordswriting / vocabulary knowledge / lexical diversity / written proficiency / embeddedness / IELTS
Outline of Annual Research Achievements

In the final year of the project, our focus was on writing up the findings for publication in top international journals, as well as preparing to present at a major international conference. Based on valuable feedback from 'Bilingualism: Language and Cognition' reviewers and other experts in the field, we have modified and refined our paper titled “Predicting Written Lexical Diversity with Productive Vocabulary Measures: Investigating the role of embeddedness in L2 writing”. The paper is now under preparation for submission to the journal 'System'.

We presented the main findings of the paper at the Vocab@Vic Conference in Wellington, New Zealand, in a well-received presentation titled “Can Productive Measures Predict L2 Written Proficiency?”. In the presentation, we reported the extent to which embedded vocabulary knowledge measures relate to assessed levels of writing. A total of 151 undergraduates (L1 Japanese and L1 Chinese) participated in the study. Three vocabulary knowledge measures evaluated participant vocabulary knowledge, along with lexical diversity measures and human judgement, to assess the writing. We used flemma counts for all measures. An important finding of this paper was that although all vocabulary knowledge indicators could predict written proficiency, the more embedded they were, the greater the accuracy of the prediction.

  • Research Products

    (1 results)

All 2023

All Presentation (1 results) (of which Int'l Joint Research: 1 results)

  • [Presentation] Can Productive Vocabulary Measures Predict L2 Written Proficiency?2023

    • Author(s)
      Yajie Li, Jon Clenton, Simon Fraser, George Higginbotham
    • Organizer
      Vocab@Vic Conference, University of Victoria, Wellington, New Zealand
    • Int'l Joint Research

URL: 

Published: 2024-12-25  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi