What Do Indonesians Really Need from Language Technology? A Nationwide Survey
Monash University and Boston University · Mohamed bin Zayed University of Artificial Intelligence
PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2025.emnlp-main.367 ↗
摘要
Despite emerging efforts to develop NLP for Indonesia’s 700+ local languages, progress remains costly due to the need for direct engagement with native speakers. However, it is unclear what these language communities truly need from language technology. To address this, we conduct a nationwide survey to assess the actual needs of native Indonesian speakers. Our findings indicate that addressing language barriers, particularly through machine translation and information retrieval, is the most critical priority. Although there is strong enthusiasm for advancements in language technology, concerns around privacy, bias, and the use of public data for AI training highlight the need for greater transparency and clear communication to support broader AI adoption.