Evert S, Ganslmayer C, Rink C (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Toyo University
Series: AsiaLex 2024 Proceedings
City/Town: Tokyo
Pages Range: 133--142
Conference Proceedings Title: Asian Lexicography -- Merging cutting-edge and established approaches
ISBN: 978-4-9901771-2-6
URI: https://www.asialex.org/pdf/Asialex-Proceedings-2024.pdf
In this paper, we take an analytical and a practical approach to the topic of AI-generated lexicographical data. In the context of a language-learning environment, we want to take a closer look at the quality of bilingual lexicographical data (Chinese-German) produced by generative large language models (LLMs). Our aim is to create a scientifically supported and comprehensive method that includes effective prompting strategies, an objective evaluation of the generated lexicographical data, and learner strategies for the use of conversational AI. The focus of our paper will be on the evaluation method, for which we use a multi-level analysis based on lexicographical standards, in comparison with existing lexicographical resources made by experts, the consideration of the findings of a didactical experiment, as well as a discussion about AI specific questions, and on the proposal of a didactical concept, which introduces a reasonable use of conversational AI chatbots in a language-learning environment. The results of this study are expected to give further insight into the functionality of generative LLMs in lexicographical settings, to provide a critical framework for the evaluation of AI-generated lexicographical data, and offer perspectives on how it can be used as a valuable lexicographical tool in language-learning.
APA:
Evert, S., Ganslmayer, C., & Rink, C. (2024). {Towards} a comprehensive method for evaluating and utilizing {AI}-generated bilingual lexicographic data in language learning using the example of {Chinese} as a foreign language. In Inoue A, Kawamoto N, Sumiyoshi M (Eds.), Asian Lexicography -- Merging cutting-edge and established approaches (pp. 133--142). Tokyo: Toyo University.
MLA:
Evert, Stephanie, Christine Ganslmayer, and Christian Rink. "{Towards} a comprehensive method for evaluating and utilizing {AI}-generated bilingual lexicographic data in language learning using the example of {Chinese} as a foreign language." Proceedings of the Asian Lexicography -- Merging cutting-edge and established approaches Ed. Inoue A, Kawamoto N, Sumiyoshi M, Tokyo: Toyo University, 2024. 133--142.
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