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The purpose of the module Match is to get the offsets (as well as the string between those offsets, for debugging) of a cleaned-up, tokenized string from its original, untokenized source. “Big deal,” you might say, but this is actually a pretty difficult task if the original text is sufficiently messy, not to mention rife with Unicode characters.

Consider some text, stored in a variable original_text, like:

I am writing a letter ! Sometimes,I forget to put spaces (and do weird stuff with punctuation) ? J’aurai une pomme, s’il vous plâit !

This will/should/might be properly tokenized as:

[[u’I’, u’am’, u’writing’, u’a’, u’letter’, u’!’],
[u’Sometimes’, u’,’, u’I’, u’forget’, u’to’, u’put’, u’spaces’, u’-LRB-‘, u’and’, u’do’, u’weird’, u’stuff’, u’with’, u’punctuation’, u’-RRB-‘, u’?’], [u”J’aurai”, u’une’, u’pomme’, u’,’, u”s’il”, u’vous’, u’plxe2it’, u’!’]]


In [22]: Match.match(original_text, [u’-LRB-‘, u’and’, u’do’, u’weird’, u’stuff’, u’with’, u’punctuation’, u’-RRB-‘]) Out[22]: [(60, 97, u’(and do weird stuff with punctuation)’)]

In [23]: Match.match(original_text, [u’I’, u’am’, u’writing’, u’a’, u’letter’, u’!’]) Out[23]: [(0, 25, u’I am writing a letter !’)]

In [24]: Match.match(original_text, [u”s’il”, u’vous’, u’plxe2it’, u’!’]) Out[24]: [(121, 138, u”s’il vous plxe2it !”)]

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