The interim presentation of the kAIxo project took place on 11 November 2024. Nicolas Lluis Araya is the project collaborator. Chatbots for dead, endangered, and extinct languages are being developed at the FHNW School of Business. One well-known example is @llegra, a chatbot for Vallader. Oliver Bendel recently tested the reach of GPTs for endangered languages such as Irish (Irish Gaelic), Maori, and Basque. According to ChatGPT, there is a relatively large amount of training material available for them. On 12 May 2024 – after Irish Girl and Maori Girl – a first version of Adelina, a chatbot for Basque, was created. It was later improved in a second version. As part of the “kAIxo” project (the Basque “kaixo” corresponds to the English “hello”), the chatbot or voice assistant kAIxo is being built to speak Basque. Its purpose is to keep users practising written or spoken language or to develop the desire to learn the endangered language. The chatbot is based on GPT-4o. Retrieval-Augmented Generation (RAG) plays a central role. A ChatSubs dataset is used, which contains dialogues in Spanish and three other official Spanish languages (Catalan, Basque, and Galician). Nicolas Lluis Araya presented a functioning prototype at the interim presentation. This is now to be expanded step by step.
Start of the kAIxo Project
Chatbots for dead, endangered, and extinct languages are being developed at the FHNW School of Business. One well-known example is @llegra, a chatbot for Vallader. Oliver Bendel recently tested the reach of GPTs for endangered languages such as Irish (Irish Gaelic), Maori, and Basque. According to ChatGPT, there is a relatively large amount of training material for them. On May 12, 2024 – after Irish Girl and Maori Girl – a first version of Adelina, a chatbot for Basque, was created. It was later improved in a second version. As part of the kAIxo project (the Basque “kaixo” corresponds to the english “hello”), the chatbot or voice assistant kAIxo is to be developed that speaks Basque. The purpose is to keep users practicing written or spoken language or to develop the desire to learn the endangered language. The chatbot should be based on a Large Language Model (LLM). Both prompt engineering and fine-tuning are conceivable for customization. Retrieval Augmented Generation (RAG) can play a central role. The result will be a functioning prototype. Nicolas Lluis Araya, a student of business informatics, has been recruited to implement the project. The kick-off meeting will take place on September 3, 2024.