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Corpus Linguistics Lab
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A lab that uses corpora and natural language processing to study hype in medical research papers.

AboutAbout the lab
Uncovering the hype hidden in research writing.
The Corpus Linguistics Lab studies promotional language (hype) used in writing about medical and health research.
Using corpora, which are large collections of texts, and natural language processing methods, the lab tracks how the use of hype changes over time.
The lab also builds resources such as annotated data and word lists, and works on developing tools that help communicate science more objectively.
The lab's faculty member is a researcher in applied linguistics, and also teaches English courses on technical writing and academic presentations for graduate students in Systems and Information Engineering.
Key terms
- Hype
- Language that overtly emphasizes and promotes the merits of research. Adjectives such as groundbreaking and unparalleled are examples.
- Corpus
- Language data made up of a large collection of texts that can be searched and tallied by computer.
- Natural language processing
- Technology for handling human language with computers. It is used for tasks such as finding specific expressions in text.
ResearchResearch themes
The lab focuses on how promotional language used in research papers and grant applications may get in the way of objective evaluation of science. It uses corpus analysis and natural language processing to examine how hype is used, and is working on developing a system that detects it and suggests rephrasings.
*Illustrative imageAutomatically detecting hype in medical research
The lab builds a system that automatically detects hype in biomedical writing using natural language processing, machine learning, and large language models, and suggests more objective rephrasings. It also expands word lists, creates annotated data, and evaluates the system's effectiveness.
*Illustrative imageHype in grant applications
This project began in 2021. It collected a large number of abstracts of projects funded by the U.S. National Institutes of Health (NIH) and aimed to use corpus analysis to examine how hype is used and which factors influence its use. The aim was to find implications for how review is conducted and for the people who write applications.
*Illustrative imageWhy do authors use hype?
This project began in 2018. It aimed to clarify why authors of medical papers use hype and how it affects readers. The aim was to apply the findings to editing and peer review processes and to the teaching of medical writing.
MembersFaculty
- Associate ProfessorNeil Millar
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Vitoria-University-Library-food-science-journals-4489” Vmenkov / CC BY-SA 3.0 (cropped)
- Automatically detecting hype in medical research: “Bookwheel in Jagiellonian University Museum Krakow” Bassschlüssel / CC BY-SA 4.0 (cropped)
- Hype in grant applications: “Pannónia Korpusz 1. ábra” Pannonia.corpus / CC BY-SA 4.0 (cropped)
- Why do authors use hype?: “Bücherstapel zur Recherche Optik und Mathematik” Heribert3 / CC BY-SA 4.0 (cropped)
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(藤井研) ): “12.26 Vice President attends "2025 Tainan Pioneering Industry-Government-Academia-Research Collaboration Drone Disaster Relief Resilience Demonstration"” Taiwan Presidential Office / CC BY 4.0 (cropped) - Related lab (ヒューマンセンタードビジョン研究室): “3D Scanner perspective” Alange6373 / CC BY-SA 3.0 (cropped)
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