diff --git a/matlab/ms-sbvar/ms_write_markov_file.m b/matlab/ms-sbvar/ms_write_markov_file.m
index defd64225164eee907edd9b56b1b19a8e8c93a5b..24bd08d42c6083c00cf4299ac18b8b43fb2c180a 100644
--- a/matlab/ms-sbvar/ms_write_markov_file.m
+++ b/matlab/ms-sbvar/ms_write_markov_file.m
@@ -8,7 +8,7 @@ function ms_write_markov_file(fname,M,options)
     %/********************* Markov State Variable Information **********************/
     %/******************************************************************************/
     
-    fprintf(fh,'//== Flat Independent Markov States and Simple Restrictions ==//\n\n');
+    fprintf(fh,'//== Markov State Variables with Simple Restrictions ==//\n\n');
     
     
     %//This number is NOT used but read in.
@@ -33,8 +33,8 @@ function ms_write_markov_file(fname,M,options)
         %//== column of the transition matrix.  Each element must be positive.  For each column,
         %//== the relative size of the prior elements determine the relative size of the elements
         %//== of the transition matrix and overall larger sizes implies a tighter prior.
-        fprintf(fh,['//== Transition matrix prior for state_variable[%d]. ' ...
-                    '(n_states x n_states) ==//\n'],i_chain);
+        fprintf(fh,['//== Transition matrix prior for state_variable[%d] ==//\n'], ...
+          i_chain);
         Alpha = ones(n_states,n_states);
         for i_state = 1:n_states
             p = 1-1/options.ms.ms_chain(i_chain).state(i_state).duration;
@@ -43,7 +43,7 @@ function ms_write_markov_file(fname,M,options)
             fprintf(fh,'\n');
         end
  
-        fprintf(fh,['\n//== Free Dirichet dimensions for state_variable[%d]  ' ...
+        fprintf(fh,['\n//== Dirichlet dimensions for state_variable[%d] ' ...
                     '==//\n'],i_chain);
         %        fprintf(fh,'%d ',repmat(n_states,1,n_states));
         fprintf(fh,'%d ',repmat(2,1,n_states));