Semantic Scholar Open Access 2024 2 sitasi

@llegra: a chatbot for Vallader

Oliver Bendel Dalil Jabou

Abstrak

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.

Penulis (2)

O

Oliver Bendel

D

Dalil Jabou

Format Sitasi

Bendel, O., Jabou, D. (2024). @llegra: a chatbot for Vallader. https://doi.org/10.1007/s41870-024-01779-0

Akses Cepat

Lihat di Sumber doi.org/10.1007/s41870-024-01779-0
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1007/s41870-024-01779-0
Akses
Open Access ✓