+In PAN 2013\footnote{%
+See \cite{pan2013} for an overview of PAN 2013 plagiarism detection campaign.}
+ competition on plagiarism detection we participated in both the Source Retrieval
+and the Text Alignment subtasks. In both tasks we adapted methodology used in PAN 2012\footnote{%
+See \cite{pan2012} for an overview of PAN 2012 plagiarism detection campaign.} \cite{suchomel_kas_12}.
+Section~\ref{source_retr} describes querying approach for source retrieval, where we used three different
+types of queries. We present a new type of query based on text paragraphs.
+The query execution was controlled by its type and by preliminary similarities
+discovered during the searches.
+Section~\ref{text_alignment} describes our approach for the text alignment
+(pairwise comparison) subtask. We briefly introduce our system,
+and then we discuss the feature types, which are usable for pairwise comparison,
+including the evaluation of their feasibility for this purpose. We then describe
+the global (corpus-wide) optimizations used, and finally we discuss
+the results achieved and further development.
+
+\input{simon-source_retrieval}
+\input{yenya-text_alignment}
+
+
+\section{Conclusions}
+We introduced querying strategy with snippet similarity measure. %which approved to be competitive.
+In source retrieval subtask the strategy performed with the second best ratio
+of recall to the number of used queries.
+We focused our queries on selected parts of text
+and on parts with no discovered external similarities.
+Unfortunately the ChatNoir search engine currently does not support phrasal search, therefore it
+is possible that evaluated results may be quite distorted in this manner.
+
+In the text alignment subtask, we have achieved a significant improvement
+with respect to our system from PAN 2012. Further development in this
+area is still possible. For a real-world system, however, a completely
+different set of parameters and heuristics needs to be used, as a result
+of plagdet score together with the structure of the competition corpus
+being too different from the real world.