diff --git a/README.md b/README.md
index c5df408..fefcfc9 100644
--- a/README.md
+++ b/README.md
@@ -28,9 +28,9 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat
 
 - *matrices*: wraps the [UJMP](http://www.ujmp.org/) matrix package, which provides an expressive and expansive set of efficient matrix operations.  (examples)
 
-- *probabilities*:  a language for dealing with probabilities.  composable into constructs like graphical models, tress, classifiers, etc.
+- *probabilities*:  a language for dealing with probabilities.  composable into constructs like graphical models, trees, classifiers, etc.
 
-- *measures*: a vast library of measure functions, statistics, and the like.  Everything you want for measuring things in your learners.  We also have man information-theoretic measures in *information-theory*.
+- *measures*: a vast library of measure functions, statistics, and the like.  Everything you want for measuring things in your learners.  We also have many information-theoretic measures in *information-theory*.
 
 - *linear models*: ols, gls, glms, and penalized / regularized regression methods - L1, L2, and combinations thereof. (examples)
 
@@ -44,4 +44,4 @@ Infer is broad and covers, or intends to cover, most of what you'll find in stat
 
 - *features*:  easy to deal with feature representations as a matrix, a Clojure vector of vectors, or nested maps, and transforming between the options.  easy dealing with continuous or discrete, or discretizing continuous variables (currently in *classification*).  merging equivalence classes.
 
-- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php).
\ No newline at end of file
+- Copyright (c) Bradford Cross and Hamilton Ulmer released under the MIT License (http://www.opensource.org/licenses/mit-license.php).