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* As STOP_WORDS are stored in unicode format we should keep our words candidates in unicode also to be able to compare candidates against dictionary correctly
* With some languages, short stopwords are linked to the next word in the sentance with no-breakable-space. To designate those stop words we should support nbsp when tokenizing.
Russian is an example. So this fixesgrangier#223
Seems that article.cleaned_text from here #135 does not work. article_text is always empty.
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