The paper describes our system submitted for the Workshop on PARSEME's Shared Task on automatic identification of verbal multiword expressions . It uses POS tagging and dependency parsing to identify single-and multi-token verbal MWEs in text. Our system is language-independent and competed on nine of the eighteen languages. Our paper describes how our system works and gives its error analysis for the languages it
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