DevRetreat23ProjectQuantitativeTesting
Andrew Howe edited this page Nov 6, 2023
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3 revisions
- Quantitative approach to false positives by testing rules (transformations + operator (regex, parallel match, etc.)) against large bodies of examples of natural language
- Bodies of text could be Wikipedia, Reddit, news articles (example corpora: https://wortschatz.uni-leipzig.de/en/download)
- Depending on results, this could be used to optimize CRSv4 before the release
- @M4tteoP
- @theseion
- @redxanadu
- @airween
- @franbuehler
- What target(s) do we want to examine?
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ARGS
, because this covers most relevant rules and also is where we see natural language occurring?
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