共建语言形态数据平台，助力濒危语言研究
CommonMorph: Participatory Morphological Documentation Platform
- 三层次协作：专家定义+用户采集+社区校验
- 集成主动学习与跨语言迁移，减少人工标注量
- 开源可复用，适配NLP工具，支持多类型语法结构
收集和标注形态学数据面临巨大挑战，需语言学专业知识、严谨方法和大量资源，尤其对低资源语言更为突出。为加速该过程，我们推出 exttt{CommonMorph} 平台，采用三层协同机制：专家语言定义、贡献者引出数据、社区验证。平台通过主动学习、注释建议及跨语言材料导入与适配工具，大幅减少人工工作量。支持融合型、黏着型及词根-模式等多样化形态系统。开源设计配合 UniMorph 兼容输出，确保可访问性与与自然语言处理工具的互操作性。平台已上线 https://common-morph.com，提供可复制的协作技术模式，推动语言多样性保护。
原文摘要 · Abstract (English)
Collecting and annotating morphological data present significant challenges, requiring linguistic expertise, methodological rigour, and substantial resources. These barriers are particularly acute for low-resource languages and varieties. To accelerate this process, we introduce \texttt{CommonMorph}, a comprehensive platform that streamlines morphological data collection development through a three-tiered approach: expert linguistic definition, contributor elicitation, and community validation. The platform minimises manual work by incorporating active learning, annotation suggestions, and tools to import and adapt materials from related languages. It accommodates diverse morphological systems, including fusional, agglutinative, and root-and-pattern morphologies. Its open-source design and UniMorph-compatible outputs ensure accessibility and interoperability with NLP tools. Our platform is accessible at https://common-morph.com, offering a replicable model for preserving linguistic diversity through collaborative technology.
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