diff --git a/text/evaluation/summary.tex b/text/evaluation/summary.tex
index 6f3b456..dd52fb8 100644
--- a/text/evaluation/summary.tex
+++ b/text/evaluation/summary.tex
@@ -1,9 +1,9 @@
 \section{Summary}
 \label{sec:eval-sum}
-In this chapter we presented the experimental evaluation of the {\thething} privacy schemes and the dummy {\thething} selection module that we developed in Chapter~\ref{ch:lmdk-prv}, on real and synthetic data sets.
+In this chapter we presented the experimental evaluation of the {\thething} privacy schemes and the dummy {\thething} selection module, that we developed in Chapter~\ref{ch:lmdk-prv}, on real and synthetic data sets.
 The \texttt{Adaptive} scheme is the most reliable and best performing scheme, in terms of overall data utility, with minimal tuning across most of the cases.
 \texttt{Skip} performs optimally in data sets with a smaller target value range, where approximation fits best.
-The dummy {\thething} selection module introduces a reasonable data utility decline to all of our schemes however, the \texttt{Adaptive} handles it well and bounds the data utility to higher levels compared to user-level protection.
+The dummy {\thething} selection module introduces a reasonable data utility decline to all of our schemes; however, the \texttt{Adaptive} handles it well and bounds the data utility to higher levels compared to user-level protection.
 % \kat{it would be nice to see it clearly on Figure 5.5. (eg, by including another bar that shows adaptive without landmark selection)}
 % \mk{Done.}
 In terms of temporal correlation, we observe that under moderate and strong temporal correlation, a greater average regular--{\thething} event distance in a {\thething} distribution causes greater temporal privacy loss.