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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
...
...
...
...
Last modified 3yr ago
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