Removing commas between columns in text data
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I have a txt file which is the ouput of a lemmatizer, in the form
Sometimes, ,, I, use, commas, .
I, like, writing, ,, I, like, reading
How can I read it into a tokenizedDocument deleting the unneccessary commas between tokens? A simple approach would be
test=readlines('/path/to/file.txt')
test=strrep(test,',','')
test=tokenizedDocument(test)
but it would remove even the commas already present in the original text, while I'd like to preserve punctuation-
采纳的回答
test = {'Sometimes, ,, I, use, commas, .'
'I, like, writing, ,, I, like, reading'};
test = regexprep(test, {'(?<=[^,]),\s', '\s*,,', '\s+\.'}, {' ', ',', '.'})
Notice we had to have a special rule for periods. You have 'use, commas' which should almost certainly translate to 'use commas' (so comma space becomes space), but after that 'commas, .' should not become 'commas .' .
To put it another way, we cannot use the rule that comma space pair is to be deleted: that works for the comma space between the word 'commas' and the period, but it does not work for the comma space pair between 'use' and 'commas': if you tried to apply that rule then 'use, commas' would merge together to 'usecommas' .
更多回答（1 个）
test = {'Sometimes, ,, I, use, commas, .'
'I, like, writing, ,, I, like, reading'};
test = regexprep(test, ',\s', ' ')
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