VetLingua Writing Assistant
Select a topic from the left panel or click a query from the right panel to get started.
VetLingua
A corpus-based academic writing assistant for veterinary medicine researchers.
What is VetLingua?
VetLingua is a free AI-powered language tool built on a specialised corpus of published veterinary research articles. It is designed to help researchers explore and understand the linguistic conventions of academic writing in veterinary medicine — not just what to write, but how professionals in the field write.
Unlike general writing assistants, VetLingua is grounded in real corpus data. Every response is informed by the patterns, vocabulary, hedging strategies, reporting verbs, and rhetorical structures found in actual peer-reviewed veterinary research.
Who is it for?
Novice researchers
Early-career academics and postgraduate students writing their first veterinary research articles.
Non-native English speakers
Researchers whose first language is not English and who want to write with field-authentic language.
Corpus linguistics learners
Anyone curious about the language of veterinary medicine — its collocations, genre conventions, and discourse patterns.
Writing instructors
EAP and academic writing teachers who support veterinary students with discipline-specific writing.
What makes VetLingua unique?
Built on a real, discipline-specific corpus
Unlike general AI tools, VetLingua draws exclusively from a curated corpus of peer-reviewed veterinary research articles — compiled and structured for a PhD thesis and validated in published research.
Generates, never copies
VetLingua does not retrieve sentences from the corpus. It analyses linguistic patterns and generates entirely new, authentic-sounding examples that reflect how experts in the field actually write.
Multilingual by design
VetLingua detects the language of each query and responds in that same language — making it accessible to researchers worldwide regardless of their English proficiency.
Topic-aware navigation
Users can select from 17 topic areas — from bacterial diseases to veterinary surgery — to focus their queries on the most relevant slice of the corpus.
Completely free
100 free queries per session, no sign-up, no subscription. Built by a researcher, for researchers.
About the corpus
The Veterinary Medicine Corpus (VMC) is a machine-generated collection of high-quality, open-access research articles published between 2010 and 2022. Compiled using AntCorGen via the PLOS API, it captures complete articles with structural consistency across five sections: abstract, introduction, materials and methodology, results and discussion, and conclusion.
The VMC comprises 1,449 articles and 7,962,021 tokens, organised into 4 parent categories and 17 child categories with expert guidance to ensure scientifically meaningful classification:
Pre-clinic (n=352)
Epidemiology · Veterinary microbiology · Veterinary parasitology · Veterinary pathology · Pharmaceutics & pharmacology · Veterinary virology
Internal Medicine (n=426)
Veterinarians · Veterinary biometry · Veterinary diagnostics · Veterinary hospitals · Veterinary medicine · Veterinary surgery
Zootechnics (n=121)
Livestock care and wildlife sciences
Veterinary Diseases (n=550)
Bacterial diseases · Parasitic diseases · Viral diseases · Other
