MethodsStatistics and informationLayout tests on half C: rule replication, line-position information, language signatures under normalisation, line crowding
Method
Layout tests on half C: rule replication, line-position information, language signatures under normalisation, line crowding
Questions it answers
- Is it a natural language?
- What did the line and page add?
- What kind of text is it?
- Why do spellings change at the end of a line?
How it works
Compared with: within-page shuffles; 103 languages cut to the same length; Latin of the manuscript's genres in the same lines.
Code Python
Runs and results 6 runs
Applied to
3 datasetsExploration split, Line-edge rules learned on half E (46 minimal alternations at paragraph start, line start and line end), ZL3b transcription