clarified spec

dlib/svm/structural_svm_problem_abstract.h

@@ -34,14 +34,15 @@ namespace dlib
                 - This object will not be verbose
 
             WHAT THIS OBJECT REPRESENTS
-                This object is a tool for solving the optimization problem associated 
-                with a structural support vector machine.  A structural SVM is a supervised 
+                This object is a tool for solving the optimization problem associated with
+                a structural support vector machine.  A structural SVM is a supervised
                 machine learning method for learning to predict complex outputs.  This is
-                contrasted with a binary classifier which makes only simple yes/no predictions.  
-                A structural SVM, on the other hand, can learn to predict outputs as complex
-                as entire parse trees.  To do this, it learns a function F(x,y) which measures 
-                how well a particular data sample x matches a label y.  When used for prediction,
-                the best label for a new x is given by the y which maximizes F(x,y).   
+                contrasted with a binary classifier which makes only simple yes/no
+                predictions.  A structural SVM, on the other hand, can learn to predict
+                complex outputs such as entire parse trees or DNA sequence alignments.  To
+                do this, it learns a function F(x,y) which measures how well a particular
+                data sample x matches a label y.  When used for prediction, the best label
+                for a new x is given by the y which maximizes F(x,y).   
 
                 To use this object you inherit from it, provide implementations of its four 
                 pure virtual functions, and then pass your object to the oca optimizer.