印尼人最需要语言技术解决翻译和信息获取难题。
What Do Indonesians Really Need from Language Technology? A Nationwide Survey
- 通过全国性调查了解本土语言使用者真实需求
- 机器翻译与信息检索是当前最紧迫的技术需求
- 关注隐私与数据偏见，推动AI透明化应用
尽管正致力于为印度尼西亚700多个本地语言开发自然语言处理技术，但进展因需直接接触母语者而成本高昂。然而，这些语言社群真正需要什么尚不明确。为此，我们开展全国性调查，评估印尼母语者的真实需求。研究发现，克服语言障碍——尤其是通过机器翻译和信息检索——是最关键的优先事项。虽然对语言技术进步充满热情，但对隐私、偏见以及公共数据用于AI训练的担忧，凸显了提升透明度和清晰沟通的必要性，以促进更广泛的人工智能采纳。
原文摘要 · Abstract (English)
There is an emerging effort to develop NLP for Indonesias 700+ local languages, but 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 speakers in Indonesia. 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.
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