@llegra: a chatbot for Vallader
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Authors
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Publication date
2024
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01A - Journal article
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International Journal of Information Technology
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Volume
16
Issue / Number
4
Pages / Duration
2035–2045
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Springer
Place of publication / Event location
London
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Abstract
Extinct and endangered languages have been preserved primarily through audio conservation and the collection and digitization of scripts and have been promoted through targeted language acquisition efforts. Another possibility would be to build conversational agents like chatbots or voice assistants that can master these languages. This would provide an artificial, active conversational partner which has knowledge of the vocabulary and grammar and allows one to learn with it in a different way. The chatbot, @llegra, with which one can communicate in the Rhaeto-Romanic idiom Vallader was developed in 2023 based on GPT-4. It can process and output text and has voice output. It was additionally equipped with a manually created knowledge base. After laying the conceptual groundwork, this paper presents the preparation and implementation of the project. In addition, it summarizes the tests that native speakers conducted with the chatbot. A critical discussion elaborates advantages and disadvantages. @llegra could be a new tool for teaching and learning Vallader in a memorable and entertaining way through dialog. It not only masters the idiom, but also has extensive knowledge about the Lower Engadine, that is, the area where Vallader is spoken. In conclusion, it is argued that conversational agents are an innovative approach to promoting and preserving languages.
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2511-2112
2511-2104
2511-2104
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Hybrid
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Citation
Bendel, O., & Jabou, D. (2024). @llegra: a chatbot for Vallader. International Journal of Information Technology, 16(4), 2035–2045. https://doi.org/10.1007/s41870-024-01779-0