2 个仓库
Standardizing varying address inputs into a consistent administrative hierarchy.
Distinct from Data Normalization: Focuses on geographic hierarchy normalization rather than general raw data cleaning or email formats.
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This project provides a structured dataset of the administrative divisions of China, covering five levels from provinces down to villages. It delivers this geographical information in a standardized JSON format designed for data exchange and integration. The dataset is organized as a hierarchical source specifically for building cascading address selectors and region pickers. It uses linked data to enable sequential filtering from higher-level provinces down to village-level boundaries. The project covers geographic data management and regional data normalization. It provides the necessary m
Standardizes regional inputs using a consistent hierarchy of provinces, cities, districts, towns, and villages.
Libpostal 是一个专为国际地址解析和标准化设计的 C 库。它利用统计自然语言处理(NLP)和语言分类器,将非结构化的全球地址字符串分解为结构化组件,并通过扩展缩写和解决跨语言的区域命名差异来标准化街道地址。 该项目提供文本转写工具,将各种脚本转换为标准化的拉丁-ASCII 或 NFD 形式。它还包括地址去重功能,使用对称模糊匹配来识别不同的地址记录是否指向同一个物理位置。 该库涵盖了更广泛的文本处理需求,例如 UTF-8 标准化,以及将书写数字和罗马数字转换为标准数字表示。它允许通过外部配置文件扩展地址识别功能,以添加新的语言和同义词。
Provides multi-language expansion of shorthand address terms into their full-form equivalents.