From 14fa8a08c0ce66016268c0099ff11d7b2671c009 Mon Sep 17 00:00:00 2001 From: Al Date: Fri, 7 Oct 2016 00:50:36 -0400 Subject: [PATCH] [fix][ci skip] attempting something less cluttered for the readme --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 33042de9..4ad4009c 100644 --- a/README.md +++ b/README.md @@ -4,9 +4,11 @@ [![OpenCollective](https://opencollective.com/libpostal/sponsors/badge.svg)](#sponsors) [![OpenCollective](https://opencollective.com/libpostal/backers/badge.svg)](#backers) +🇧🇷 🇫🇮 🇳🇬 :jp: 🇽🇰 🇧🇩 🇵🇱 🇻🇳 🇧🇪 🇲🇦 🇺🇦 🇯🇲 :ru: 🇮🇳 🇱🇻 🇧🇴 :de: 🇸🇳 🇦🇲 :kr: 🇳🇴 🇲🇽 🇨🇿 🇹🇷 :es: 🇸🇸 🇪🇪 🇧🇭 🇳🇱 :cn: 🇵🇹 🇵🇷 :gb: 🇵🇸 + libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. For a more comprehensive overview of the research, check out the [introductory blog post](https://medium.com/@albarrentine/statistical-nlp-on-openstreetmap-b9d573e6cc86), but to sum up, the goal of this project is to understand location-based strings in every language, everywhere. -🇧🇷 🇫🇮 🇳🇬 :jp: 🇽🇰 🇧🇩 🇵🇱 🇻🇳 🇧🇪 🇲🇦 🇺🇦 🇯🇲 :ru: 🇮🇳 🇱🇻 🇧🇴 :de: 🇸🇳 🇦🇲 :kr: 🇳🇴 🇲🇽 🇨🇿 🇹🇷 :es: 🇸🇸 🇪🇪 🇧🇭 🇳🇱 :cn: 🇵🇹 🇵🇷 :gb: 🇵🇸 🇷🇴 🇬🇭 🇦🇺 🇲🇾 🇭🇷 🇭🇹 :us: 🇿🇦 🇷🇸 🇨🇱 :it: 🇰🇪 🇨🇭 🇨🇺 🇸🇰 🇦🇴 🇩🇰 🇹🇿 🇦🇱 🇨🇴 🇮🇱 🇬🇹 :fr: 🇵🇭 🇦🇹 🇱🇨 🇮🇸 🇮🇩 🇦🇪 🇸🇰 🇹🇳 🇰🇭 🇦🇷 🇭🇰 +🇷🇴 🇬🇭 🇦🇺 🇲🇾 🇭🇷 🇭🇹 :us: 🇿🇦 🇷🇸 🇨🇱 :it: 🇰🇪 🇨🇭 🇨🇺 🇸🇰 🇦🇴 🇩🇰 🇹🇿 🇦🇱 🇨🇴 🇮🇱 🇬🇹 :fr: 🇵🇭 🇦🇹 🇱🇨 🇮🇸 🇮🇩 🇦🇪 🇸🇰 🇹🇳 🇰🇭 🇦🇷 🇭🇰 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.