extend german normalizer

[emphasize]

Problem:

With the usage of whisper (most of germans were using google up until now i assume) we get a lot of hyphenated "word-combinations" like "15-Minuten-Timer".

This is an unexpected behaviour and a problem in the intent stage that can't be dealt with subsequently.

will be brought to classifiers after review

[codecov]

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[JarbasAl]

this method should go into the base normalizer and get a flag for all langs in the .json

the more performant way would be

text = "15-minute-timer"
translating = str.maketrans('', '', string.punctuation)
new_string = text.translate(translating)

[emphasize]

str.maketrans(''.join(symbols), len(symbols)*" ")
gotcha (altough i have doubts with _/=)

Will add this tomorrow

[emphasize]

Rebased, adjusted to the latest developments and flagged every langs remove_symbols: true (normalize.json; where possible)
Changed the default in the Normalizer class to True

ovos-lingua-franca/lingua_franca/lang/parse_common.py

Lines 52 to 54 in f16bb4d

	@property
	def should_remove_symbols(self):
	return self.config.get("remove_symbols", True)

replaced (german hyphen splitting) regex pattern to be less error prone

Should be ready to go