However, in order to accomplish this complex task authors made little if any effort to normalize extracted MWT candidates: "Prior to applying the algorithms, we lemmatize using a weakly-informed tokenizer that knows only that white space and punctuation separate words."
for highly-inflected languages, such as Serbian and other Slavic languages, this task can hardly be avoided as each nominal MWT can have many inflected forms (from five to ten or even more) and many of these forms (but usually not all) can in general be extracted from a corpus.