From 52f6beba353c5f98b67bbaaa74b76e678f7999bf Mon Sep 17 00:00:00 2001
From: 0xflotus <0xflotus@gmail.com>
Date: Sun, 30 Dec 2018 03:17:50 +0100
Subject: [PATCH] fixed structures

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 570ee0e1..f2ad27b3 100644
--- a/README.md
+++ b/README.md
@@ -472,7 +472,7 @@ optionally be separated so Rosenstraße and Rosen Straße are equivalent.
 for a wide variety of countries and languages, not just US/English. 
 The model is trained on over 1 billion addresses and address-like strings, using the
 templates in the [OpenCage address formatting repo](https://github.com/OpenCageData/address-formatting) to construct formatted,
-tagged traning examples for every inhabited country in the world. Many types of [normalizations](https://github.com/openvenues/libpostal/blob/master/scripts/geodata/addresses/components.py)
+tagged training examples for every inhabited country in the world. Many types of [normalizations](https://github.com/openvenues/libpostal/blob/master/scripts/geodata/addresses/components.py)
 are performed to make the training data resemble real messy geocoder input as closely as possible.
 
 - **Language classification**: multinomial logistic regression
@@ -623,7 +623,7 @@ libpostal is written in modern, legible, C99 and uses the following conventions:
 - Confines almost all mallocs to *name*_new and all frees to *name*_destroy
 - Efficient existing implementations for simple things like hashtables
 - Generic containers (via [klib](https://github.com/attractivechaos/klib)) whenever possible
-- Data structrues take advantage of sparsity as much as possible
+- Data structures take advantage of sparsity as much as possible
 - Efficient double-array trie implementation for most string dictionaries
 - Cross-platform as much as possible, particularly for *nix