here today humbled by the task before us, grateful for the trust you have bestowed, mindful of the sacrifices borne by our ancestors. I thank President Bush for his service to our nation, as well as the generosity and cooperation he has shown throughout this transition. Forty-four Americans have now taken the presidential oath. ...............
>>> print '\n'.join(s.findAll(text=True)) On 05/08/2007, at 12:05 PM, [...] wrote: If u want it USB bootable, just burn the DSL boot disk to CD and fire it up.  Then from the desktop after boot, right click and create the bootable USB key yourself.  I havent actually done this myself (only seen the option from the menu), but I am assuming it will be a fairly painless process if you are happy with the stock image.  Would be interested in how you go as I have to build 50 USB bootable DSL's in the next couple weeks. Regards, [...] What about blockquotes?
= nltk.ConditionalFreqDist( (distro, fileid[:limit]) for fileid in corpus.fileids() for w in corpus.words(fileid) for distro in distros if w.lower().startswith(distro)) return cfd popularcfd = getcfd(popular,4) # or 7 for months popularcfd.plot() nichecfd = getcfd(niche,4) nichecfd.plot() another “NLTKism”
in corpus.words()] bigrams = nltk.bigrams(words) cfd = nltk.ConditionalFreqDist(bigrams) def generate_model(cfdist, word, num=15): for i in range(num): print word, words = list(cfdist[word]) word = random.choice(words) text = [w.lower() for w in corpus.words()] bigrams = nltk.bigrams(text) cfd = nltk.ConditionalFreqDist(bigrams) generate_model(cfd, 'hi', num=20)
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w in corpus.words() if w.isalpha()] words = [w for w in words if w not in stopwords] word_fd = nltk.FreqDist(words) wordmax = word_fd[word_fd.max()] wordmin = 1000 #YMMV taglist = word_fd.items() ranges = getRanges(wordmin, wordmax) writeCloud(taglist, ranges, 'tags.html')