Port to Python 3.x (Without breaking Python 2.x suport)
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|haikufinder||ported haikufinder to Python 3.x (without breaking 2.x support)|
|scripts||ported haikufinder to Python 3.x (without breaking 2.x support)|
|.gitignore||ignore my andbox|
|MANIFEST||more bad AI|
|README.txt||correct distro link|
Installer: http://MrFeinberg.com/haikufinder-1.1.zip * * REQUIRES NLTK, THE NATURAL LANGUAGE TOOLKIT * http://www.nltk.org/download * A Python hack to find "haikus" in English text. For the purposes of this module, a "haiku" is one or more complete sentences that, together, can be broken into groups of 5, 7, and 5 syllables. Each canididate haiku line, and then the entire haiku, has to make it through a few heuristics to filter out constructions that are likely to scan awkwardly (like verb phrases split across lines). Since this code doesn't really try to understand the texts, it might throw away a few legitimate phrases, and it certainly lets through some bad ones. Any improvements would be welcomed. The license, found in license.txt, is "modified BSD". Example usage: text = open("ulysses.txt", "r").read() haikus = HaikuFinder(text).find_haikus() for haiku in haikus: print haiku print " %s" % haiku print haiku print If you find that the HaikuFinder doesn't seem to recognize some word you're using, or is counting its syllables incorrectly, you can say HaikuFinder.add_word('shmeggegge', 3) HaikuFinder.add_word('kvetch', 1) haikus = HaikuFinder(''' For this I should stay? To hear some shmeggegge kvetch about his lawsuit? ''').find_haikus() If you like, you can fork the project, modify the custom.dict, and submit a pull request. I'll accept all useful dictionary additions.