ChatGPT as a Cobuild lexicographer

Bibliographic Data

ID22235014
AuthorsRobert Lew (0000-0002-6772-210X, Adam Mickiewicz University in Poznań, corresponding author)
Year2023
Volume10
Issue1
Publication date2023-10-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-023-02119-6
OpenAlexW4387618050
LanguageEN
Citations received13
References cited9

Creating high-quality dictionary entries has been a meticulous and time-consuming process, but current developments in Artificial Intelligence (AI) could help to speed up this process. This study explores the use of ChatGPT to create COBUILD-style English monolingual entries and evaluates its ability to generate accurate and high-quality sense definitions and example sentences on a sample of fifteen verbs of communication. AI-generated entries are produced using ChatGPT Plus, and human experts evaluate them alongside COBUILD entries in a blinded randomized process. The quality of sense definitions, example sentences, and overall entries are assessed using a five-point scale. The results indicate that AI-generated definitions are comparable to those created by human lexicographers, while AI-generated examples and overall entries receive lower ratings. The study also explores the possibility of fine-tuning AI models based on expert feedback to enhance their performance

Lexicography · Linguistics · Natural language processing · Computer Science · Mathematics · Natural Language Processing Techniques · Text Readability and Simplification · Topic Modeling · Artificial Intelligence

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