| 26 | | 1. Create 5 documents (with a similar topic) and 5 plagiarisms of these documents, 10 documents total. 100 words $\leq$ document lenght $\leq$ 500 words. 20 \% $\leq$ plagiarism content $\leq$ 75 \% (100 \% if done well). |
| 27 | | 1. Select detection algorithm and implement it in Python. At least 1 own plagiarism must be detected, at least 1 must be not detected by your own script. |
| 28 | | 1. Input format: POS tagged vertical consisting of 10 sctructures `doc` with attributes `author`, `id`, `class`, `source`. Pair author, id is unique. Class is "original" or "plagiarism". Source is the id of the source (in case of plagiarism) or own id (in case of original).\footnote{{\tiny For the sake of simplicity: A plagiarism cannot have more sources here.}} |
| 29 | | 1. Output format: One plagiarism per line: id `TAB` detected source id `TAB` real source id. Evaluation line: precision, recall F1 measure. |
| 30 | | 1. Your script will be evaluated using data made by others. |
| | 26 | See the slides. |
