libpostal: international street address NLP libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. For a more comprehensive overview of the research behind libpostal, be sure to check out the (lengthy) introductory blog posts: ๐ง๐ท ๐ซ๐ฎ ๐ณ๐ฌ ๐ฏ๐ต ๐ฝ๐ฐ ๐ง๐ฉ ๐ต๐ฑ ๐ป๐ณ ๐ง๐ช ๐ฒ๐ฆ ๐บ๐ฆ ๐ฏ๐ฒ ๐ท๐บ ๐ฎ๐ณ ๐ฑ๐ป ๐ง๐ด ๐ฉ๐ช ๐ธ๐ณ ๐ฆ๐ฒ ๐ฐ๐ท ๐ณ๐ด ๐ฒ๐ฝ ๐จ๐ฟ ๐น๐ท ๐ช๐ธ ๐ธ๐ธ ๐ช๐ช ๐ง๐ญ ๐ณ๐ฑ ๐จ๐ณ ๐ต๐น ๐ต๐ท ๐ฌ๐ง ๐ต๐ธ Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services, check-ins, reviews). Yet even the simplest addresses are packed with local conventions, abbreviations and context, making them difficult to index/query effectively with traditional full-text search engines. This library helps convert the free-form addresses that humans use into clean normalized forms suitable for machine comparison and full-text indexing. Though libpostal is not itself a full geocoder, it can be used as a preprocessing step to make any geocoding application smarter, simpler, and more consistent internationally. ๐ท๐ด ๐ฌ๐ญ ๐ฆ๐บ ๐ฒ๐พ ๐ญ๐ท ๐ญ๐น ๐บ๐ธ ๐ฟ๐ฆ ๐ท๐ธ ๐จ๐ฑ ๐ฎ๐น ๐ฐ๐ช ๐จ๐ญ ๐จ๐บ ๐ธ๐ฐ ๐ฆ๐ด ๐ฉ๐ฐ ๐น๐ฟ ๐ฆ๐ฑ ๐จ๐ด ๐ฎ๐ฑ ๐ฌ๐น ๐ซ๐ท ๐ต๐ญ ๐ฆ๐น ๐ฑ๐จ ๐ฎ๐ธ ๐ฎ๐ฉ ๐ฆ๐ช ๐ธ๐ฐ ๐น๐ณ ๐ฐ๐ญ ๐ฆ๐ท ๐ญ๐ฐ The core library is written in pure C. Language bindings for Python, Ruby, Go, Java, PHP, and NodeJS are officially supported and it's easy to write bindings in other languages. Sponsors If your company is using libpostal, consider asking your organization to sponsor the project. Interpreting what humans mean when they refer to locations is far from a solved problem, and sponsorships help us pursue new frontiers in geospatial NLP. As a sponsor, your company logo will appear prominently on the Github repo page along with a link to your site. Sponsorship info Backers Individual users can also help support open geo NLP research by making a monthly donation: Installation (Mac/Linux) Before you install, make sure y...
First seen: 2025-07-09 03:33
Last seen: 2025-07-09 07:33