Exploring Lexical Bundles in the Move Structure of English Medical Research Abstracts: A Focus on Vocabulary Levels

Author:

Asano Motoko1ORCID,Hirosuna Kensuke2,Fujieda Miho1

Affiliation:

1. Department of Foreign Languages, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan

2. Department of Regenerative Science, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan

Abstract

Research article abstracts, the second most-read part of research papers after titles, generally follow disciplinary conventions, which are often manifested in their language use. This study analyzed lexical bundles or multi-word sequences in move texts of a one-million-word corpus of English-language medical research article abstracts, with particular attention to vocabulary levels. The most frequent lexical bundles, such as “the primary end point was”, often occurred once per text and predominantly took part in realizing a move. The coverage of the first thousand New General Service List was 63.6% for the entire corpus but was around 80% for bundles in Move 3, describing principal results, and those in Move 4, evaluating the results. Many of the sequences were research-oriented bundles, used to express research contexts. The bundles were made up of relatively accessible word items, but the sequences occurred to realize highly specific research contexts. The findings suggest that becoming familiar with the bundle may need increasing awareness of disciplinary conventions such as guideline adherences and statistical procedures. This study may offer insights on the need for learners to familiarize themselves with these bundles.

Funder

Grants-in-Aid for Scientific Research awarded by the Japan Society for the Promotion of Science

Publisher

MDPI AG

Reference123 articles.

1. Building Blocks of Medical Abstracts: Frequency, Functions and Structures of Lexical Bundles;Abdollahpour;The Asian ESP Journal,2018

2. A Genre Analysis Study of 80 Medical Abstracts;Anderson;Edinburgh Working Papers in Applied Linguistics,1997

3. Anthony, Laurence (2024, April 11). AntConc (Version 4.2.4) [Computer Software], Available online: https://www.laurenceanthony.net/software.

4. Anthony, Lawrence (2024, August 01). AntWordProfiler. Available online: https://www.laurenceanthony.net/software/antwordprofiler/.

5. A Vocabulary Study for Enhancing Learners’ Experiences: English-Language Medical Research Abstracts;Asano;English Corpus Studies,2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3