The model of <cite>Tsvetkov and Wintner (2014)</cite> uses nine statistically and linguistically motivated features, computed for each MWE candidate and designed to discriminate between MWEs and ordinary word sequences. We adopted eight of these features: 1 (1) capitalization (indicating which MWE constituents are capitalized), (2) hyphenation (which constituents are hyphenated), (3) fossil word (whether constituents also occur outside of the MWE), (4) frozen form (whether the MWE is morphologically frozen), (5) partial morphological inflection (whether MWE admits only limited inflection), (6) syntactic pattern (the MWE's part-of-speech pattern), (7) semantic context, and (8) association measure.