Text Summarization Evaluation – BLEU vs ROUGE

In general: Bleu measures precision: how much the words (and/or n-grams) in the machine generated summaries appeared in the human reference summaries. Rouge measures recall: how much the words (and/or n-grams) in the human reference summaries appeared in the machine generated summaries. Naturally – these results are complementing, as is often the case in precision … Read more

How does uʍop-ǝpᴉsdn text work?

how does it work? does unicode have upside down chars? Unicode does have upside-down characters. They have “TURNED” in their name: ƍ U+018D LATIN SMALL LETTER TURNED DELTA Ɯ U+019C LATIN CAPITAL LETTER TURNED M ǝ U+01DD LATIN SMALL LETTER TURNED E Ʌ U+0245 LATIN CAPITAL LETTER TURNED V ɐ U+0250 LATIN SMALL LETTER TURNED … Read more

How to count the number of words in a sentence, ignoring numbers, punctuation and whitespace?

str.split() without any arguments splits on runs of whitespace characters: >>> s=”I am having a very nice day.” >>> >>> len(s.split()) 7 From the linked documentation: If sep is not specified or is None, a different splitting algorithm is applied: runs of consecutive whitespace are regarded as a single separator, and the result will contain … Read more

Text processing – Python vs Perl performance [closed]

This is exactly the sort of stuff that Perl was designed to do, so it doesn’t surprise me that it’s faster. One easy optimization in your Python code would be to precompile those regexes, so they aren’t getting recompiled each time. exists_re = re.compile(r’^(.*?) INFO.*Such a record already exists’) location_re = re.compile(r’^AwbLocation (.*?) insert into’) … Read more

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