diff --git a/README.md b/README.md
index 16f0287..a53a0c0 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@ start working with
Lidar
-based
SLAM
-in Python or C++. (For those interested in Matlab or Java, there is a
+in Python or C++. (For those working in Matlab or Java, there is a
[legacy](https://github.com/simondlevy/BreezySLAM/tree/legacy) branch, which I
am no longer maintaining.) BreezySLAM works with Python 2 and 3 on Linux and
Mac OS X, and with C++ on Linux and Windows. By using Python C extensions, we
@@ -125,7 +125,9 @@ both packages, you can run the xvslam.py example in the BreezySLAM/exa
Just cd to BreezySLAM/cpp, and do
- sudo make install
+
+sudo make install
+
This will put the libbreezyslam shareable library in your /usr/local/lib
directory. If you keep your shared libraries elsewhere, just change the LIBDIR