Exploring Within-Discipline Variation of Lexical Bundle Use: An Example from Medical Research Articles and Medical Case Reports

Abstract: Studies that focus on the use of formulaic language in academic writing primarily investigated the use of different types of formulaic sequences in academic research articles in various disciplines. These studies revealed dramatic variations in the use of formulaic language across academic disciplines (e.g., Cortes, 2004; Hyland, 2008; Jalali; Moini, 2014; Shahriari, 2017). However, there is evidence that discipline alone may not be enough to determine linguistic variation (Gray, 2015), as different registers within one discipline may reflect different linguistic characteristics depending on specific communicative purposes (Biber; Conrad, 2019). In the case of medical written discourse, different medical registers may call for the use of different formulas to convey different communicative intents. This is the case of the medical research article (MRA) and the medical case report (MCR). In this study, we will focus on the identification and analysis of lexical bundles in medical discourse, particularly in MRAs and MCRs. Lexical bundles (Biber et al., 1999) are groups of three or more words that frequently occur in a given register. They are identified empirically, using specially designed computer programs that run through the texts in a language corpus and flag expressions of three or more words that repeat frequently, employing a strictly corpus-driven approach (Cortes, 2015). Using specially designed software, lexical bundles of 3+ words were identified in each corpus. These expressions were later analyzed according to their structure and the functions they performed to conduct a comparison across the two registers using taxonomies adapted from the literature (Biber; Conrad; Cortes, 2004; Hyland, 2008).

Authors

Institutions

Publication Details

Journal
Revista Brasileira de Lingüística Aplicada
Published
2025-01-01
DOI
https://doi.org/10.1590/1984-6398202550012
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Within-Discipline Variation of Lexical Bundle Use: An Example from Medical Research Articles and Medical Case Reports

Viviana Cortes, Ndeye Bineta Mbodj
Revista Brasileira de Lingüística Aplicada
Discourse Analysis in Language Studies
article

Exploring Within-Discipline Variation of Lexical Bundle Use: An Example from Medical Research Articles and Medical Case Reports

Viviana Cortes, Ndeye Bineta Mbodj
article en

Abstract

Abstract: Studies that focus on the use of formulaic language in academic writing primarily investigated the use of different types of formulaic sequences in academic research articles in various disciplines. These studies revealed dramatic variations in the use of formulaic language across academic disciplines (e.g., Cortes, 2004; Hyland, 2008; Jalali; Moini, 2014; Shahriari, 2017). However, there is evidence that discipline alone may not be enough to determine linguistic variation (Gray, 2015), as different registers within one discipline may reflect different linguistic characteristics depending on specific communicative purposes (Biber; Conrad, 2019). In the case of medical written discourse, different medical registers may call for the use of different formulas to convey different communicative intents. This is the case of the medical research article (MRA) and the medical case report (MCR). In this study, we will focus on the identification and analysis of lexical bundles in medical discourse, particularly in MRAs and MCRs. Lexical bundles (Biber et al., 1999) are groups of three or more words that frequently occur in a given register. They are identified empirically, using specially designed computer programs that run through the texts in a language corpus and flag expressions of three or more words that repeat frequently, employing a strictly corpus-driven approach (Cortes, 2015). Using specially designed software, lexical bundles of 3+ words were identified in each corpus. These expressions were later analyzed according to their structure and the functions they performed to conduct a comparison across the two registers using taxonomies adapted from the literature (Biber; Conrad; Cortes, 2004; Hyland, 2008).

Revista Brasileira de Lingüística AplicadaVol. 25(1)
Georgia State University (US)
Openalex Percentile: Top 79%
Discourse Analysis in Language Studies
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.

Exploring Within-Discipline Variation of Lexical Bundle Use: An Example from Medical Research Articles and Medical Case Reports — Viviana Cortes, Ndeye Bineta Mbodj · Revista Brasileira de Lingüística Aplicada (2025) | TGRS Research Map | TGRS