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Regular Expression based parsers for extracting data from natural languages

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If I have the following regex group: ``` Full_Date: Basic Full_Date: Expression: ([0-3]?[0-9]) \. ([0-1]?[0-9]) \. (20[0-9][0-9]) Matches: 01.01.2021 Non-Matches: 01--01-2021 | 01.01.1990 Groups: - Day - Month - Year...

- Possible add more examples - Highlight the features in a clear way - Emphasize use case as extracting structured information from natural languages

enhancement

There are few issues in documentation (https://github.com/andychase/reparse/blob/master/doc/source/howto.rst): 1. Incorrect regex for area code `[+]([0-9] \d{2}) - (\d{3}) - (\d{4})` => `[+]([0-9] \d{3}) - (\d{3}) - (\d{4})` 2. Misleading examples of...

Would this cause any problems?

enhancement

Having these tests in `examples/` might aid reliablility

enhancement