论文标题
ve'rdd。缩小纸词典，低资源NLP和社区参与之间的差距
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
论文作者
论文摘要
我们提出了一个开源的在线词典编辑系统Ve'rdd，该系统提供了重新评估和编辑已接触到多个业余编辑的基层词典的机会。这个想法是将社区活动纳入一种严重濒危少数民族语言Skolt Sami的最先进的有限国家语言描述。问题涉及让社区参与铅笔和纸水平以上的事情。有时，以英语为母语的人和以词典为导向的人缺乏技术理解来利用基础架构，这些基础架构可能会使他们的工作在将来更有意义，即对所有投入的多次重复使用。因此，我们的系统与现有的工具和基础架构集成在一起，以掩盖用户友好的UI背后的技术复杂性。
We present an open-source online dictionary editing system, Ve'rdd, that offers a chance to re-evaluate and edit grassroots dictionaries that have been exposed to multiple amateur editors. The idea is to incorporate community activities into a state-of-the-art finite-state language description of a seriously endangered minority language, Skolt Sami. Problems involve getting the community to take part in things above the pencil-and-paper level. At times, it seems that the native speakers and the dictionary oriented are lacking technical understanding to utilize the infrastructures which might make their work more meaningful in the future, i.e. multiple reuse of all of their input. Therefore, our system integrates with the existing tools and infrastructures for Uralic language masking the technical complexities behind a user-friendly UI.
