Ve'rdd。缩小纸质词典、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
摘要：
我们提出了一个开源的在线词典编辑系统，Ve'rdd，它提供了一个机会，重新评估和编辑已经暴露给多个业余编辑的基层词典。其想法是将社群活动纳入对一种严重濒危的少数民族语言-斯科尔特萨米语-的最新有限状态语言描述。问题涉及到让社区参与到文件和文件级别以上的事情中来。有时，母语人士和面向词典的人似乎缺乏技术理解，无法利用可能使他们的工作在未来更有意义的基础设施，即对所有输入的多重重用。因此，我们的系统集成了乌拉尔语言的现有工具和基础设施，掩盖了用户友好的UI背后的技术复杂性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
