Keeping a detection logbook

By now, the reader will have realised that multiple detection tasks are needed per work-pair in order to tease out as many text reuse styles from the texts as possible. To help keep track of these experiments, we recommend the creation of a logbook to record each and every task with the respective result-set. We find this helps to avoid duplicating analyses and more easily identify the optimal settings for a particular detection task. An example logbook might look something like this:

WORD-BASED FEATURING

Task N	Preprocessing	Selection	Scoring	Result
1	syn-repl.; lemmatiz.	local-max-feat-freq.; 0.6 feat-dens.	0.5 sim-thresh.	5 reuses
2	...	...	...	...
3	...	...	...	...

BIGRAM FEATURING

Task N	Preprocessing	Selection	Scoring	Result
1	...	...	...	...
2	...	...	...	...

TRIGRAM FEATURING

Task N	Preprocessing	Selection	Scoring	Result
1	...	...	...	...
2	...	...	...	...