Details

Autor(en) / Beteiligte

• Özer, Mustafa
• Akbaş, Erdem

Titel

Assembling a justified list of academic words in veterinary medicine: The veterinary medicine academic word list (VMAWL)

Ist Teil von

• English for specific purposes (New York, N.Y.), 2024-04, Vol.74, p.29-43

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2024

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The assembly of corpus-based discipline-specific word lists for pedagogical purposes has recently been on the rise (e.g., Arndt, 2022; Fraser, 2007; O'Flynn, 2019; Yang, 2015). In order to cater to the needs of learners in veterinary medicine (VM) and for field-specific academic literacy, this paper analyses a reiteration of the Veterinary Medicine Corpus (Özer and Akbaş, 2023; hereafter the VMC), assembling a specified list of academic words used in published research articles (RAs) in VM. So far, VM has remained largely unexplored with the exception of Durrant's (2009) limited coverage of VM texts. The analysis was conducted using LancsBox 6.0, prompted to yield a list of PoS-tagged lemmas (P-lemmas) sorted by frequency (Coxhead, 2000; Yang, 2015) and dispersion (Arndt, 2022). The most frequent 1,000 lemmas for each content word category were collated into a candidate list. We then manually eliminated proper nouns and GSL (West, 1953) words. The final list, the Veterinary Medicine Academic Word List (VMAWL), contains 835 PoS-tagged lemmas (P-lemmas), a reiteration of which was produced by adding the types in Bauer and Nation’s (1993) taxonomy at the second level to test coverage. The VMAWL was profiled and validated against the four parent categories independently on AntWordProfiler (Anthony, 2022a) with analysis showing the VMAWL comprises 13.75 % of the VMC and diverges greatly from generic word lists like the AWL, NGSL, new-GSL, and AVL. The list can be used to develop teaching materials for EAP or ESP academic writing courses. •We assemble an academic word list in veterinary medicine with pedagogical value.•The machine-generated veterinary corpus was reconfigured for reliable dispersion statistics.•The justified list consists of 835 P-lemmas granting a satisfying coverage of 11.92 % in VMC.•Coverage by our justified list in the veterinary corpus is much higher than the generic lists.•The lexis in our disciplinary list is thus significant for better literacy in veterinary medicine.