When annotating a corpus, it's noteworthy to know the pertinence of each parameter. Statistics could answer the following questions:
- If I remove a Levenshtein distance, how many annotations would be missed ?
- Show me the annotations where the Levenshtein distance was crucial in the detection.
- Show me the stopwords that were relevant.
- Show me the annotations where the window value was crucial in the detection: show the distribution of matches per window value.
When annotating a corpus, it's noteworthy to know the pertinence of each parameter. Statistics could answer the following questions: