FIX typos

docs/index.rst

@@ -23,7 +23,7 @@
 Home
 ====
 
-pomegranate is a python package which implements fast, efficient, and extremely flexible probabilistic models ranging from probability distributions to Bayesian networks to mixtures of hidden Markov models. The most basic level of probabilistic modeling is the a simple probability distribution. If we're modeling language, this may be a simple distribution over the frequency of all possible words a person can say. 
+pomegranate is a python package which implements fast, efficient, and extremely flexible probabilistic models ranging from probability distributions to Bayesian networks to mixtures of hidden Markov models. The most basic level of probabilistic modeling is the simple probability distribution. If we're modeling language, this may be a simple distribution over the frequency of all possible words a person can say. 
 
 (1) :ref:`distributions`
 
@@ -36,7 +36,7 @@ The next level up are probabilistic models which use the simple distributions in
 (6) :ref:`bayesiannetwork`
 (7) :ref:`factorgraph`
 
-The third level are stacks of probabilistic models which can model even more complex phenomena. If a single hidden Markov model can capture a dialect of a language (such as a certain persons speech usage) then a mixture of hidden Markov models may fine tune this to be situation specific. For example, a person may use more formal language at work and more casual language when speaking with friends. By modeling this as a mixture of HMMs, we represent the persons language as a "mixture" of these dialects.
+The third level are stacks of probabilistic models which can model even more complex phenomena. If a single hidden Markov model can capture a dialect of a language (such as a certain person's speech usage) then a mixture of hidden Markov models may fine tune this to be situation specific. For example, a person may use more formal language at work and more casual language when speaking with friends. By modeling this as a mixture of HMMs, we represent the persons language as a "mixture" of these dialects.
 
 (8) GMM-HMMs
 (9) Mixtures of Models