EconPapers    
Economics at your fingertips  
 

The effectiveness of ChatGPT as a lexical tool for English, compared with a bilingual dictionary and a monolingual learner’s dictionary

Robert Lew, Bartosz Ptasznik and Sascha Wolfer ()
Additional contact information
Robert Lew: Adam Mickiewicz University
Bartosz Ptasznik: University of Warmia and Mazury in Olsztyn
Sascha Wolfer: Leibniz-Institut für Deutsche Sprache

Palgrave Communications, 2024, vol. 11, issue 1, 1-10

Abstract: Abstract Traditionally, language learners have relied on dictionaries when trying to read or write in a foreign language. However, new LLM-based chatbots may offer an alternative to traditional dictionaries as lexical tools. This study assesses the effectiveness of ChatGPT versus the monolingual Longman Dictionary of Contemporary English (LDOCE, 2024) and the bilingual Diki.pl (Diki.pl, 2024) online dictionaries in supporting English language learners in receptive and productive lexical tasks. With a sample of 166 university students at B2 to C1 proficiency levels and forty uncommon English phrasal verbs, we investigate whether a leading AI-driven chatbot, a high-quality learners’ dictionary, or a popular free bilingual dictionary offers better support in accurately understanding and producing English. The results reveal ChatGPT to be more effective than either dictionary in production, and better than the monolingual dictionary, but not the bilingual dictionary, in reception.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-03775-y Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03775-y

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-024-03775-y

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03775-y